Introduction,Breast cancer is the most common cancer type in adolescents and young adults<40 years of age,accounting for 30%of cancers in this age group1.Breast cancer in the young presents significant challenges f...Introduction,Breast cancer is the most common cancer type in adolescents and young adults<40 years of age,accounting for 30%of cancers in this age group1.Breast cancer in the young presents significant challenges for patients and society,including more aggressive tumor biology,poor prognosis,genetic susceptibility,fertility preservation,and complex psychosocial issues.Moreover,because of the markedly younger median age of breast cancer,the proportion of young breast cancer patients in China is significantly higher than Western countries2.The first Young Breast Cancer in China(YBCC)consensus meeting was held in Guangzhou,China in December 2021 to address exclusive challenges and requirements facing young patients with breast cancer.Chinese medical experts from multiple specialties had an extensive discussion and formulated a consensus over several hot topics in young patients with breast cancer.The“Expert Consensus on the Diagnosis and Treatment of Young Breast Cancer in China(2022 edition)”published in the Chinese Medical Journal has garnered significant attention3,highlighting enormous interest in the YBCC consensus in the medical community and public.展开更多
Neoadjuvant therapy(NAT)has become the standard treatment for patients with locally advanced breast cancer and stage II-III HER2-positive(HER2+)or triple-negative breast cancer(TNBC)1,2.It is essential to accurately m...Neoadjuvant therapy(NAT)has become the standard treatment for patients with locally advanced breast cancer and stage II-III HER2-positive(HER2+)or triple-negative breast cancer(TNBC)1,2.It is essential to accurately mark the primary breast tumor and positive axillary lymph nodes(ALNs)prior to NAT to ensure precise surgical excision,guide axillary downstaging,and guarantee reliable lesion retrieval for pathologic evaluation3.The false-negative rate of sentinel lymph node biopsy(SLNB)after NAT can be reduced to<10%by applying modalities,such as the identification of≥3 sentinel lymph nodes(SLNs)with dual-mapping techniques or removal of the marked lymph node with target axillary dissection(TAD)according to the ASCO,NCCN,and CBCS guidelines3-5.However,there is a lack of consensus regarding the optimal methods and materials for accurate marking6,7.Conventional techniques include clip placement,guidewire localization,and carbon or ink tattooing,whereas wireless technologies,such as MagseedR,radiofrequency identification tags,SAVI SCOUTR,and radioactive iodine-125(125I)seeds,have also been adopted.Traditional marking techniques have a localization failure rate of approximately 10%.In contrast,the use of 125I seeds(with a radiation dose of 0.1-0.3 mCi)has significantly improved localization accuracy8,9.Nevertheless,owing to radioactive properties,concerns have been raised regarding the potential impact of 125I seed marking on assessing the pathologic complete response(pCR)after NAT10.Moreover,whether the influence of 125I seed marking on pCR could lead to suboptimal adjuvant treatment decisions and potentially compromise long-term oncologic outcomes has not been established.To investigate the potential impact of 125I seed placement on the pCR rate and long-term outcomes in breast cancer patients receiving NAT,we conducted a retrospective cohort study utilizing propensity score matching(PSM).展开更多
Background:Cyclin-dependent kinase 4/6(CDK4/6)inhibitors have transformed the management of hormone receptor–positive/HER2–negative(HR+/HER2–)advanced breast cancer,yet evidence for elderly or poor-performance pati...Background:Cyclin-dependent kinase 4/6(CDK4/6)inhibitors have transformed the management of hormone receptor–positive/HER2–negative(HR+/HER2–)advanced breast cancer,yet evidence for elderly or poor-performance patients remains limited.This study examined real-world outcomes of palbociclib plus endocrine therapy in Asian patients,with additional subgroup analyses by age and performance status.Methods:We retrospectively analyzed 46 consecutive Asian patients with recurrent or de novo HR+/HER2−breast cancer treated with first-line palbociclib plus ET between April 2021 and March 2025.The primary endpoint was progression-free survival(PFS).Secondary endpoints included overall response rate(ORR),disease control rate(DCR),and safety.Subgroup analyses were performed by age(<70 vs.≥70 years)and performance status(PS;0–1 vs.2–3).Results:The median PFS was 26.6 months(range,1.4–69.5).Stratified by age,median PFS was 26.9 months in patients<70 years and 26.2 months in those≥70 years(p=0.760).By PS,PFS was 26.9 months for PS 0–1 and 17.8 months for PS 2–3(p=0.099).ORR was 60.9%and DCR 93.5%;notably,all PS 2–3 patients achieved disease control.Hematologic toxicities were common,with neutropenia(80.4%)and leukopenia(86.7%)predominating,but grade≥3 anemia was rare(2.2%).Elderly patients experienced anemia more frequently,while overall toxicity remained manageable.Dose reductions occurred in 47.8%without loss of efficacy.Conclusions:In routine Japanese practice,palbociclib plus ET provided prolonged PFS and high disease control consistent with pivotal trials and international real-world evidence.Importantly,elderly patients tolerated treatment well,and selected PS 2–3 patients also derived clinical benefit.These findings indicate that neither age nor PS alone should preclude the use of palbociclib in carefully monitored real-world patients.展开更多
Objective:To investigate the long-term prognosis and postoperative cosmetic outcomes of breast-conserving surgery combined with sentinel lymph node biopsy in patients with early-stage breast cancer,providing a referen...Objective:To investigate the long-term prognosis and postoperative cosmetic outcomes of breast-conserving surgery combined with sentinel lymph node biopsy in patients with early-stage breast cancer,providing a reference for the selection of clinical treatment plans.Methods:A retrospective analysis was conducted on the clinical data of 68 patients with early-stage breast cancer admitted from January 2022 to December 2025.Based on the surgical approach,patients were divided into an observation group(breast-conserving surgery+sentinel lymph node biopsy)and a control group(other surgical methods such as modified radical mastectomy/total mastectomy).Clinical and pathological characteristics,incidence of postoperative complications,follow-up prognosis,and satisfaction with cosmetic outcomes were compared between the two groups.Results:Among the 68 patients,41 were in the observation group and 27 in the control group.The average age of patients in the observation group was(54.32±8.15)years,while that in the control group was(62.45±9.76)years.The average tumor size in the observation group was(1.86±0.72)cm,compared to(3.21±1.45)cm in the control group.The incidence of postoperative complications in the observation group was 9.76%,significantly lower than that in the control group at 33.33%(P<0.05).The 6-month disease-free survival rate was 95.12%in the observation group and 88.89%in the control group,with no statistically significant difference between the two groups(P>0.05).The excellent and good rate of cosmetic outcomes in the observation group was 87.80%,significantly higher than that in the control group at 29.63%(P<0.05).Conclusion:Breast-conserving surgery combined with sentinel lymph node biopsy for early-stage breast cancer can achieve long-term prognostic outcomes comparable to those of traditional radical surgery,with the advantages of fewer postoperative complications and superior cosmetic results.This approach is worthy of clinical promotion and application,particularly for early-stage breast cancer patients who have a demand for preserving breast morphology.展开更多
AIM:To investigate the effects of chronic alcohol consumption on retinal microcirculation by comparing different alcohol-consuming groups using optical coherence tomography(OCT)and OCT angiography(OCTA).METHODS:This o...AIM:To investigate the effects of chronic alcohol consumption on retinal microcirculation by comparing different alcohol-consuming groups using optical coherence tomography(OCT)and OCT angiography(OCTA).METHODS:This observational clinical study utilized a cross-sectional and prospective design,focusing on chronic alcohol consumers alongside a non-consuming control group.OCT/OCTA imaging parameters including central retinal subfield thickness(CST),subfoveal choroidal thickness(SCT),foveal avascular zone(FAZ)and vessel density(VD)in the superficial and deep capillary plexuses in both the macular and optic disc(OD)regions were recorded.Data were analyzed using SPSS 15.0;descriptive statistics were reported,group comparisons were performed with Chisquare,Kruskal–Wallis,and Bonferroni-corrected Mann–Whitney U tests,and relationships were assessed using Spearman correlation,with statistical significance set at P<0.05.RESULTS:A total of 160 eyes of 160 participants(110 females and 50 males with mean age 38.7±9.9y)who don’t smoke were divided into five groups:never,occasional,monthly,weekly and daily drinkers.The mean CST was 216.6±14.2μm and the mean SCT was 358.9±84.5μm.There was no statistically significantly difference in CST and SCT among the groups(P=0.890,0.799).Foveal superficial capillary plexuses(SCPs)VD was higher in monthly drinkers compared to occasional drinkers(P=0.015).Foveal VD in deep capillary plexus was also higher in monthly drinkers than in never and occasional drinkers(P=0.004,0.006).Nasal SCPs VD at the OD was higher in monthly drinkers compared to never drinkers(P=0.005).There was no significant difference FAZ area among the groups(P=0.071).CONCLUSION:Both superficial and deep microvascular structures in the inferior quadrants of macula are positively correlated with frequency of alcohol use.Also in our study results is that the monthly drinker group has uniquely higher VDs in both macula and OD.This leads us to consider moderate alcohol consumption may also have protective effects on retinal microcirculation.展开更多
Breast cancer is one of the most prevalent malignancies among women and comprises a heterogeneous spectrum of molecular subtypes with distinct biological behaviors.Among various regulatory molecules,sphingolipids play...Breast cancer is one of the most prevalent malignancies among women and comprises a heterogeneous spectrum of molecular subtypes with distinct biological behaviors.Among various regulatory molecules,sphingolipids play pivotal roles in dynamically modulating fundamental cellular processes such as proliferation,apoptosis,and metastasis through metabolic interconversions,including phosphorylation,glycosylation,and the generation of sphingosine-1-phosphate.This review aims to elucidate the mechanisms through which sphingolipid metabolism orchestrates cancer cell fate and drives breast cancer progression.Particular emphasis is placed on the balance between proapoptotic ceramides and pro-survival metabolites,such as sphingosine-1-phosphate,which collectively influence tumor growth and the therapeutic response.Additional sphingolipid species,including glucosylceramide and gangliosides(GD2,GD3,GM1,and GM3),have also been implicated in promoting breast cancer development.Furthermore,sphingolipid-based therapeutic strategies,including immunotherapy and antibody therapy,are discussed.By providing a comprehensive overview of sphingolipid metabolism,this review aims to identify novel therapeutic targets that may help overcome treatment resistance and improve clinical outcomes in breast cancer.展开更多
Objectives:Breast cancer(BC)is the leading cause of cancer-related mortality in women,largely due to metastasis.This study aims to explore the role of purine nucleoside phosphorylase(PNP),a key enzyme in purine metabo...Objectives:Breast cancer(BC)is the leading cause of cancer-related mortality in women,largely due to metastasis.This study aims to explore the role of purine nucleoside phosphorylase(PNP),a key enzyme in purine metabolism,in the aggressiveness and metastatic behavior of BC.Methods:A comprehensive analysis was performed using in silico transcriptomic data(n=2509 patients),immunohistochemical profiling of BC tissues(n=103),and validation through western blotting in multiple BC cell lines.Gene expression and survival analyses were conducted using Tumor Immune Estimation Resource(TIMER),Gene Expression Profiling Interactive Analysis 2(GEPIA2),and the cBioPortal for cancer genomics(cBioPortal)platforms.Correlations between PNP and key epithelial–mesenchymal transition(EMT)markers,molecular subtypes,tumor grades,and stages were examined.Results:PNP was significantly overexpressed in human epidermal growth factor receptor 2(HER-2)-positive and triple-negative BCs compared to luminal subtypes.High PNP levels were strongly associated with advanced BC stages,high-grade tumors,EMT phenotypes,and poor overall survival.Notably,HER-2 inhibition suppressed PNP expression,while PNP gene silencing induced HER-2 upregulation,revealing a reciprocal regulatory loop.Dual inhibition of PNP and HER-2 resulted in a significant reduction in cell viability compared to HER-2 inhibition alone.Conclusion:Collectively,PNP emerges as a promising biomarker of BC aggressiveness and progression.Its reciprocal interaction with HER-2 underscores its potential as a therapeutic target.Dual targeting of PNP and HER-2 may offer a novel strategy for improving outcomes in aggressive BC subtypes.展开更多
Breast cancer(BRCA)is characterized by high heterogeneity,with aggressive subtypes frequently showing poor prognosis and resistance to conventional therapies,making the discovery of new therapeutic targets and strateg...Breast cancer(BRCA)is characterized by high heterogeneity,with aggressive subtypes frequently showing poor prognosis and resistance to conventional therapies,making the discovery of new therapeutic targets and strategies imperative.Although elevated expression of discs large homolog 3(DLG3)has been reported in BRCA,its functional role in disease progression remains unclear.We performed bioinformatic analyses of clinical datasets to evaluate the prognostic significance of DLG3 expression in BRCA patients.In vitro gain-and loss-of-function experiments were conducted to assess the impact of DLG3 on BRCA cell proliferation,migration,and colony formation.Transcriptomic profiling,coupled with pharmacological inhibition,was employed to identify and validate downstream signaling pathways.Additionally,we extended our validation to an in vivo model to assess the role of DLG3 in tumor progression.We found that elevated DLG3 levels correlated with poor prognosis in breast cancer patients.Functionally,DLG3 overexpression significantly promoted cell proliferation and migration in estrogen receptor-positive MCF7 and triple-negative MDA-MB-231 breast cancer cells,whereas its knockdown suppressed these effects.Transcriptomic analyses revealed that DLG3 activates signal transducer and activator of transcription 3(STAT3)signaling,a finding further corroborated by Western blot.Critically,treatment with the STAT3 inhibitor Stattic attenuated DLG3-driven proliferation and migration,supporting a DLG3-STAT3 oncogenic axis.Furthermore,in vivo studies validated the role of DLG3 in promoting tumor growth and its correlation with elevated STAT3 signaling,consistent with our in vitro findings.Our findings establish DLG3 as a novel driver of breast cancer progression that directly activates STAT3 signaling.DLG3 thus represents both a potential prognostic biomarker and a promising therapeutic target for aggressive breast cancer subtypes,including triple-negative breast cancer.展开更多
Objective Tumor-associated macrophages(TAMs)contribute to chemoresistance in triple-negative breast cancer(TNBC),yet strategies to reprogram TAMs while enhancing chemotherapy efficacy remain limited.This study investi...Objective Tumor-associated macrophages(TAMs)contribute to chemoresistance in triple-negative breast cancer(TNBC),yet strategies to reprogram TAMs while enhancing chemotherapy efficacy remain limited.This study investigated whether Viscum album L.var.coloratum agglutinin(VCA)could sensitize TNBC cells to doxorubicin(DOX)and modulate TAM-mediated chemoresistance in three-dimensional(3D)co-culture models.Methods MDA-MB-231 TNBC cells were co-cultured with RAW264.7 macrophages in collagen-embedded 3D spheroids.Spheroid viability was assessed using an ATP-based luminescent assay.Cytokine secretion and epithelial-mesenchymal transition(EMT)markers were measured using ELISA and Western blotting.Drug synergy was evaluated using combination index(CI)calculations.Results VCA-DOX combination demonstrated synergistic cytotoxicity exclusively in co-culture spheroids(CI=0.72),reducing viability to 25.9%(p<0.001),while showing no synergy in monoculture(CI=1.52).Combination treatment decreased VEGF secretion by 49%and IL-6 by 74%,while elevating TNF-α2.7-fold,suggesting macrophage reprogramming.VCA enhanced E-cadherin expression while suppressing mesenchymal markers in co-culture spheroids and reduced Matrigel invasion by 60%(p<0.001).Conclusion VCA-DOX combination demonstrates synergistic anticancer effects through TAM reprogramming and enhanced chemosensitization specifically in 3D co-culture models,warranting further investigation for overcoming macrophage-mediated chemoresistance in TNBC.展开更多
Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis....Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis.Herein,the targeted theranostic platform of cysteine-modified gold nanodots-sulfhydrated luteinizing hormone releasing hormone(CGN-SLR)nanosystem was designed for target recognition and precise dual-mode imaging-guided photothermal therapy(PTT)against TNBC.On the one hand,the CGN-SLR nanosystem can serve as an ideal targeting fluorescent probe and computed tomography(CT)enhancer to facilitate the accurate diagnosis and surgical guidance of TNBC.On the other hand,the CGN-SLR nanosystem with great targeting and PTT ability can significantly inhibit the growth of TNBC,without causing harm to normal tissues and healthy organs.It provides an effective strategy for the diagnosis and treatment of TNBC through the rational design of multifunctional nanoplatform with target recognition,multiple imaging guidance/monitoring,and high-efficiency PTT.展开更多
Objectives:Vascular endothelial growth factor(VEGF)regulates tumor vascularization in response to hypoxia and inflammatory signals.The polyphenol curcumin is supposed to interfere with inflammation-induced VEGF secret...Objectives:Vascular endothelial growth factor(VEGF)regulates tumor vascularization in response to hypoxia and inflammatory signals.The polyphenol curcumin is supposed to interfere with inflammation-induced VEGF secretion and might therefore support anti-VEGF-based treatments.We aimed to investigate the interaction between curcumin and the inflammatory cytokine Interleukin-1β(IL-1β)for VEGF secretion in breast cancer cell lines representing major breast cancer subtypes.Methods:VEGF in cell cultures was detected by Western blot and enzyme-linked immunosorbent assay(ELISA).Kinase phosphorylation was investigated by Western blotting.Gene expressions were analyzed by correlation tests.VEGF was evaluated in a retrospective breast cancer cohort by immunohistochemistry.Survival analysis was performed by the Kaplan-Meier algorithm.Results:VEGF secretion and kinase signaling in response to IL-1βand curcumin varied significantly for the cell lines MCF-7(Luminal A),SK-BR-3(HER2/neu+),MDA-MB-231,and UACC-3199(triple negative breast cancer).All cell lines increased VEGF secretion under hypoxia,but IL-1βincreased VEGF secretion only in MCF-7 cells.Curcumin inhibited VEGF secretion in MDA-MB-231,but increased it in MCF-7 and UACC-3199 cells.Curcumin induced phosphorylation of extracellular signal-regulated kinase(ERK)and p38-mitogen-activated protein kinase(p38-MAPK).However,inhibitor experiments demonstrated that ERK was more important for VEGF secretion.In gene expression data from the METABRIC study,no clear correlation of hypoxia-induced factor(HIF1A),IL-1β,and VEGF mRNA expression was observed;however,a suggested crosstalk of hypoxia and inflammatory pathways was observed.Conclusion:These dissimilar responses of breast cancer cell lines suggest that therapy efficiency with anti-VEGF,anti-IL-1β,or curcumin will also vary within breast cancers.展开更多
Although the combination of chemotherapy and immunotherapy can improve the treatment of breast cancer,traditional drugs are highly toxic because they do not specifically target tumors.In this study,we developed a self...Although the combination of chemotherapy and immunotherapy can improve the treatment of breast cancer,traditional drugs are highly toxic because they do not specifically target tumors.In this study,we developed a self-driving bacteria/nanoparticle biohybrid called Bif@PDA-aPD1/DOX-Lip by attaching polydopamine(PDA)coated doxorubicin(DOX)liposomes and the immune checkpoint inhibitor anti-programmed cell death protein 1 antibody(aPD-1)to Bifidobacterium infantis(B.infantis,Bif).Using the homing abilities of bacteria,Bif@PDA-aPD1/DOX-Lip could actively accumulate in tumor tissue,releasing DOX and aPD-1 in the acidic environment to have a synergistic anti-tumor effect.Results show that the concentration of DOX in tumors of the Bif@PDA-aPD1/DOX-Lip group was 6.31 times higher than in the free DOX group.The combination of DOX and aPD-1 not only killed tumor cells but also promoted immune normalization by maturing dendritic cells(DCs),increasing M1 macrophage ratio,and enhancing infiltration of CD8+and CD4+T cells in tumors and spleen.Therefore,Bif@PDA-aPD1/DOX-Lip therapy significantly inhibited tumor growth and increased the average survival time of mice to over 80 days.The Bif@PDA-aPD1/DOX-Lip biomotors offer a highly effective method for enhancing chemo-immunotherapy in solid tumors.展开更多
This literature review explores the complex interaction between p53 and microRNAs(miRNAs)in the occurrence and progression of breast cancer(BC),the most common and lethal tumor type among women.BC is a multifactorial ...This literature review explores the complex interaction between p53 and microRNAs(miRNAs)in the occurrence and progression of breast cancer(BC),the most common and lethal tumor type among women.BC is a multifactorial disease resulting from a combination of genetic and epigenetic alterations in cell DNA,influencing proliferation,differentiation,and migration.TP53 gene,which codifies p53 protein,is a known tumor suppressor,and it plays an important role in cell maintenance as DNA repair,cell proliferation control,and apoptosis activation.TP53 expression can be modulated by several miRNAs,as miR-30c,miR-34a,and the miR-200 family,inhibiting p53 production and silencing its tumor suppressor effects.On the other hand,p53 protein can modulate several miRNAs expression,as miR-146a,miR-192,and the miR-200 family,by acting as a transcription factor or by modulating miRNA processing,interfering with BC aggressiveness and progression.Understanding the role of p53 and miRNAs in BC may aid in identifying new biomarkers and developing new targeted therapies for patient treatment.展开更多
Oncology Research Editorial Office Published:19 January 2026 The published article titled“ABCB5-ZEB1 Axis Promotes Invasion and Metastasis in Breast Cancer Cells”has been retracted from Oncology Research,Vol.25,No.3...Oncology Research Editorial Office Published:19 January 2026 The published article titled“ABCB5-ZEB1 Axis Promotes Invasion and Metastasis in Breast Cancer Cells”has been retracted from Oncology Research,Vol.25,No.3,2017,pp.305-316.DOI:10.3727/096504016X14734149559061 URL:https://www.techscience.com/or/v25n3/56810.展开更多
Accurate segmentation of breast cancer in mammogram images plays a critical role in early diagnosis and treatment planning.As research in this domain continues to expand,various segmentation techniques have been propo...Accurate segmentation of breast cancer in mammogram images plays a critical role in early diagnosis and treatment planning.As research in this domain continues to expand,various segmentation techniques have been proposed across classical image processing,machine learning(ML),deep learning(DL),and hybrid/ensemble models.This study conducts a systematic literature review using the PRISMA methodology,analyzing 57 selected articles to explore how these methods have evolved and been applied.The review highlights the strengths and limitations of each approach,identifies commonly used public datasets,and observes emerging trends in model integration and clinical relevance.By synthesizing current findings,this work provides a structured overview of segmentation strategies and outlines key considerations for developing more adaptable and explainable tools for breast cancer detection.Overall,our synthesis suggests that classical and ML methods are suitable for limited labels and computing resources,while DL models are preferable when pixel-level annotations and resources are available,and hybrid pipelines are most appropriate when fine-grained clinical precision is required.展开更多
Breast cancer screening programs rely heavily on mammography for early detection;however,diagnostic performance is strongly affected by inter-reader variability,breast density,and the limitations of conven-tional comp...Breast cancer screening programs rely heavily on mammography for early detection;however,diagnostic performance is strongly affected by inter-reader variability,breast density,and the limitations of conven-tional computer-aided detection systems.Recent advances in deep learning have enabled more robust and scalable solutions for large-scale screening,yet a systematic comparison of modern object detection architectures on nationally representative datasets remains limited.This study presents a comprehensive quantitative comparison of prominent deep learning–based object detection architectures for Artificial Intelligence-assisted mammography analysis using the MammosighTR dataset,developed within the Turkish National Breast Cancer Screening Program.The dataset comprises 12,740 patient cases collected between 2016 and 2022,annotated with BI-RADS categories,breast density levels,and lesion localization labels.A total of 31 models were evaluated,including One-Stage,Two-Stage,and Transformer-based architectures,under a unified experimental framework at both patient and breast levels.The results demonstrate that Two-Stage architectures consistently outperform One-Stage models,achieving approximately 2%–4%higher Macro F1-Scores and more balanced precision–recall trade-offs,with Double-Head R-CNN and Dynamic R-CNN yielding the highest overall performance(Macro F1≈0.84–0.86).This advantage is primarily attributed to the region proposal mechanism and improved class balance inherent to Two-Stage designs.One-Stage detectors exhibited higher sensitivity and faster inference,reaching Recall values above 0.88,but experienced minor reductions in Precision and overall accuracy(≈1%–2%)compared with Two-Stage models.Among Transformer-based architectures,Deformable DEtection TRansformer demonstrated strong robustness and consistency across datasets,achieving Macro F1-Scores comparable to CNN-based detectors(≈0.83–0.85)while exhibiting minimal performance degradation under distributional shifts.Breast density–based analysis revealed increased misclassification rates in medium-density categories(types B and C),whereas Transformer-based architectures maintained more stable performance in high-density type D tissue.These findings quantitatively confirm that both architectural design and tissue characteristics play a decisive role in diagnostic accuracy.Overall,the study provides a reproducible benchmark and highlights the potential of hybrid approaches that combine the accuracy of Two-Stage detectors with the contextual modeling capability of Transformer architectures for clinically reliable breast cancer screening systems.展开更多
BACKGROUND:Breast hyperplasia is a common benign breast disease mainly caused by endocrine disorders,manifested as abnormal hyperplasia of breast tissue.In recent years,traditional Chinese medicine compounds and probi...BACKGROUND:Breast hyperplasia is a common benign breast disease mainly caused by endocrine disorders,manifested as abnormal hyperplasia of breast tissue.In recent years,traditional Chinese medicine compounds and probiotics have shown good potential in regulating the endocrine system and improving the intestinal microecology,providing new ideas for the treatment of breast hyperplasia.OBJECTIVE:To explore the effects and mechanisms of traditional Chinese medicine compounds and fermented probiotic compounds on breast hyperplasia in mice,providing new theoretical and experimental bases for the clinical treatment and prevention of breast hyperplasia.METHODS:(1)Network pharmacology tools were used to predict the anti-breast-hyperplasia activity of Herba Gueldenstaedtiae(Euphorbia humifusa),as well as its potential targets and signaling pathways.The databases included:TCMSP,OMIM,GeneCards database,UniProt website,Venny2.1.0 website,Metascape,HERB website,and STRING database,all of which are open-access databases.Network pharmacology can predict and screen key information such as the targets corresponding to the active ingredients of traditional Chinese medicine,disease targets,and action pathways through network analysis and computer-system analysis.Therefore,it has been increasingly widely used in the research of traditional Chinese medicine.(2)A breast hyperplasia model was induced in mice by injecting estrogen and progesterone.Mice in the normal blank group were injected intraperitoneally with normal saline every day.Mice in the model group and drugadministration groups were injected intraperitoneally with estradiol benzoate injection at a concentration of 0.5 mg/kg every day for 25 days.From the 26th day,the injection of estradiol benzoate injection was stopped.Mice in the normal blank group were injected intramuscularly with normal saline every day,and mice in the model group and drug-administration groups were injected intramuscularly with progesterone injection at a concentration of 5 mg/kg for 5 days.After the model was established,each group was given drugs respectively.The normal blank group and the model group were gavaged with 0.2 mL/d of normal saline;the positive blank group(Xiaozheng Pill group)was gavaged with an aqueous solution of Xiaozheng Pill at 0.9 mg/g;the low-,medium-and high-dose groups of Compound Herba Gueldenstaedtiae were gavaged with an aqueous solution of the compound medicine at 0.75,1.5,and 3.0 mg/(g·d)respectively;the low-,medium-and high-dose groups of traditional Chinese medicine-bacteria fermentation were gavaged with an aqueous solution of the compound medicine at 0.75,1.5,and 3.0 mg/(g·d)respectively.The administration was continuous for 30 days.RESULTS AND CONCLUSION:(1)The results of network pharmacology research showed that the Compound Herba Gueldenstaedtiae(Euphorbia humifusa)contained 46 active ingredients,which were related to 1213 potential targets.After comparison with 588 known breast-hyperplasia targets,it was speculated that 50 of these targets might be related to the direct effect of the compound on breast hyperplasia.(2)After drug intervention,there was no significant change in the high-dose group of Compound Herba Gueldenstaedtiae compared with the normal blank group.The liver indicators of the other intervention groups all significantly decreased(P<0.05).(3)In terms of kidney and uterine indicators,the medium-dose group of Compound Herba Gueldenstaedtiae decreased significantly compared with the normal blank group(P<0.05).In terms of the uterine index,the model group increased significantly compared with the normal blank group(P<0.01).(4)After 1-month drug treatment,the number of lobules and acini in the breast tissue of the Xiaozheng Pill group,the low,medium,and high-dose group of Compound Herba Gueldenstaedtiae,the low,medium,and highdose groups of traditional Chinese medicine-bacteria fermentation decreased,and the duct openings narrowed.With the increase of drug dose,diffuse hyperplasia of breast tissue was significantly improved.(5)The ELISA results showed that compared with the model group,the estrogen level was lower in the medium-dose group of traditional Chinese medicine-bacteria fermentation after the intervention(P<0.05).In addition,the follicle-stimulating hormone level in the low-dose group of Compound Herba Gueldenstaedtiae was lower than that of the model group(P<0.05).(6)The intervention in the mouse model led to changes in the abundance of short chain fatty acids and intestinal flora in all groups.To conclude,the Compound Herba Gueldenstaedtiae and its probiotic fermentation products significantly improved mammary gland hyperplasia in mice by regulating hormone levels,improving the structure of the gut microbiota,and increasing the content of shortchain fatty acids,providing new ideas and potential sources of drugs for the treatment of breast hyperplasia.展开更多
The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare I...The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare IoT(H-IoT)technology,which also provides proactive statistical findings and precise medical diagnoses that enhance healthcare performance.This study examines how ML might support IoT-based health care systems,namely in the areas of prognostic systems,disease detection,patient tracking,and healthcare operations control.The study looks at the benefits and drawbacks of several machine learning techniques for H-IoT applications.It also examines the fundamental problems,such as data security and cyberthreats,as well as the high processing demands that these systems face.Alongside this,the essay discusses the advantages of all the technologies,including machine learning,deep learning,and the Internet of Things,as well as the significant difficulties and problems that arise when integrating the technology into healthcare forecasts.展开更多
Objective:To evaluate the clinical efficacy of blood-letting cupping combined with manual lymphatic drainage in treating breast cancer-related lymphedema(BCRL)and explore its mechanism of action from both traditional ...Objective:To evaluate the clinical efficacy of blood-letting cupping combined with manual lymphatic drainage in treating breast cancer-related lymphedema(BCRL)and explore its mechanism of action from both traditional Chinese medicine and modern medical perspectives,providing a scientific basis and novel therapeutic approaches for clinical management of BCRL.Methods:Patients with BCRL admitted to the outpatient and inpatient departments of Hebei University Affiliated Hospital were enrolled.A prospective randomized controlled trial design was adopted,with eligible patients randomly assigned to a treatment group and a control group.The control group received manual lymphatic drainage alone,while the treatment group received manual lymphtic drainage combined with blood-letting cupping therapy.Posttreatment comparisons evaluated upper limb circumference reduction,edema severity grading,and upper limb functional scores.Vital signs and adverse reactions during treatment were recorded for both groups.Statistical software analyzed the data.Results:The treatment group demonstrated significantly greater reduction in upper limb circumference,improvement in edema severity,and higher upper limb function scores compared to the control group(P<0.05).Vital signs remained stable throughout treatment in both groups.No severe adverse reactions occurred in the treatment group;only isolated cases of mild skin itching were reported,which resolved after symptomatic management.Conclusion:The combination of bloodletting cupping and manual lymphatic drainage demonstrates reliable efficacy in treating BCRL,effectively alleviating edema symptoms and improving upper limb function with high safety.Its mechanism may relate to traditional Chinese medicine principles of“unblocking meridians,promoting blood circulation,and resolving stasis”and modern medical concepts of“enhancing local blood circulation,facilitating lymphatic drainage,and reducing inflammatory responses”.展开更多
Background:Therapeutic responses of breast cancer vary among patients and lead to drug resistance and recurrence due to the heterogeneity.Current preclinical models,however,are inadequate for predicting individual pat...Background:Therapeutic responses of breast cancer vary among patients and lead to drug resistance and recurrence due to the heterogeneity.Current preclinical models,however,are inadequate for predicting individual patient responses towards different drugs.This study aimed to investigate the patient-derived breast cancer culture models for drug sensitivity evaluations.Methods:Tumor and adjacent tissues from female breast cancer patients were collected during surgery.Patient-derived breast cancer cells were cultured using the conditional reprogramming technique to establish 2D models.The obtained patient-derived conditional reprogramming breast cancer(CRBC)cells were subsequently embedded in alginate-gelatin methacryloyl hydrogel microspheres to form 3D culture models.Comparisons between 2D and 3D models were made using immunohistochemistry(tumor markers),MTS assays(cell viability),flow cytometry(apoptosis),transwell assays(migration),and Western blotting(protein expression).Drug sensitivity tests were conducted to evaluate patient-specific responses to anti-cancer agents.Results:2D and 3D culture models were successfully established using samples from eight patients.The 3D models retained histological and marker characteristics of the original tumors.Compared to 2D cultures,3D models exhibited increased apoptosis,enhanced drug resistance,elevated stem cell marker expression,and greater migration ability—features more reflective of in vivo tumor behavior.Conclusion:Patient-derived 3D CRBC models effectively mimic the in vivo tumor microenvironment and demonstrate stronger resistance to anti-cancer drugs than 2D models.These hydrogel-based models offer a cost-effective and clinically relevant platform for drug screening and personalized breast cancer treatment.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.82230057 and 82272859)the National Key R&D Program of China(Grant No.2022YFC2505101).
文摘Introduction,Breast cancer is the most common cancer type in adolescents and young adults<40 years of age,accounting for 30%of cancers in this age group1.Breast cancer in the young presents significant challenges for patients and society,including more aggressive tumor biology,poor prognosis,genetic susceptibility,fertility preservation,and complex psychosocial issues.Moreover,because of the markedly younger median age of breast cancer,the proportion of young breast cancer patients in China is significantly higher than Western countries2.The first Young Breast Cancer in China(YBCC)consensus meeting was held in Guangzhou,China in December 2021 to address exclusive challenges and requirements facing young patients with breast cancer.Chinese medical experts from multiple specialties had an extensive discussion and formulated a consensus over several hot topics in young patients with breast cancer.The“Expert Consensus on the Diagnosis and Treatment of Young Breast Cancer in China(2022 edition)”published in the Chinese Medical Journal has garnered significant attention3,highlighting enormous interest in the YBCC consensus in the medical community and public.
基金supported by grants from the National Natural Science Foundation of China(Grant Nos.82573747,82172873,W2421095,and 82503888)National Science and Technology Major Project(Grant No.2025ZD0543900)+2 种基金Natural Science Foundation of Shandong Province(Grant Nos.ZR2024LMB011 and ZR2024QH058)Taishan Scholars Program of Shandong Province(Grant No.tsqn202211337)Collaborative Academic Innovation Project of Shandong Cancer Hospital(Grant No.GF003).
文摘Neoadjuvant therapy(NAT)has become the standard treatment for patients with locally advanced breast cancer and stage II-III HER2-positive(HER2+)or triple-negative breast cancer(TNBC)1,2.It is essential to accurately mark the primary breast tumor and positive axillary lymph nodes(ALNs)prior to NAT to ensure precise surgical excision,guide axillary downstaging,and guarantee reliable lesion retrieval for pathologic evaluation3.The false-negative rate of sentinel lymph node biopsy(SLNB)after NAT can be reduced to<10%by applying modalities,such as the identification of≥3 sentinel lymph nodes(SLNs)with dual-mapping techniques or removal of the marked lymph node with target axillary dissection(TAD)according to the ASCO,NCCN,and CBCS guidelines3-5.However,there is a lack of consensus regarding the optimal methods and materials for accurate marking6,7.Conventional techniques include clip placement,guidewire localization,and carbon or ink tattooing,whereas wireless technologies,such as MagseedR,radiofrequency identification tags,SAVI SCOUTR,and radioactive iodine-125(125I)seeds,have also been adopted.Traditional marking techniques have a localization failure rate of approximately 10%.In contrast,the use of 125I seeds(with a radiation dose of 0.1-0.3 mCi)has significantly improved localization accuracy8,9.Nevertheless,owing to radioactive properties,concerns have been raised regarding the potential impact of 125I seed marking on assessing the pathologic complete response(pCR)after NAT10.Moreover,whether the influence of 125I seed marking on pCR could lead to suboptimal adjuvant treatment decisions and potentially compromise long-term oncologic outcomes has not been established.To investigate the potential impact of 125I seed placement on the pCR rate and long-term outcomes in breast cancer patients receiving NAT,we conducted a retrospective cohort study utilizing propensity score matching(PSM).
文摘Background:Cyclin-dependent kinase 4/6(CDK4/6)inhibitors have transformed the management of hormone receptor–positive/HER2–negative(HR+/HER2–)advanced breast cancer,yet evidence for elderly or poor-performance patients remains limited.This study examined real-world outcomes of palbociclib plus endocrine therapy in Asian patients,with additional subgroup analyses by age and performance status.Methods:We retrospectively analyzed 46 consecutive Asian patients with recurrent or de novo HR+/HER2−breast cancer treated with first-line palbociclib plus ET between April 2021 and March 2025.The primary endpoint was progression-free survival(PFS).Secondary endpoints included overall response rate(ORR),disease control rate(DCR),and safety.Subgroup analyses were performed by age(<70 vs.≥70 years)and performance status(PS;0–1 vs.2–3).Results:The median PFS was 26.6 months(range,1.4–69.5).Stratified by age,median PFS was 26.9 months in patients<70 years and 26.2 months in those≥70 years(p=0.760).By PS,PFS was 26.9 months for PS 0–1 and 17.8 months for PS 2–3(p=0.099).ORR was 60.9%and DCR 93.5%;notably,all PS 2–3 patients achieved disease control.Hematologic toxicities were common,with neutropenia(80.4%)and leukopenia(86.7%)predominating,but grade≥3 anemia was rare(2.2%).Elderly patients experienced anemia more frequently,while overall toxicity remained manageable.Dose reductions occurred in 47.8%without loss of efficacy.Conclusions:In routine Japanese practice,palbociclib plus ET provided prolonged PFS and high disease control consistent with pivotal trials and international real-world evidence.Importantly,elderly patients tolerated treatment well,and selected PS 2–3 patients also derived clinical benefit.These findings indicate that neither age nor PS alone should preclude the use of palbociclib in carefully monitored real-world patients.
文摘Objective:To investigate the long-term prognosis and postoperative cosmetic outcomes of breast-conserving surgery combined with sentinel lymph node biopsy in patients with early-stage breast cancer,providing a reference for the selection of clinical treatment plans.Methods:A retrospective analysis was conducted on the clinical data of 68 patients with early-stage breast cancer admitted from January 2022 to December 2025.Based on the surgical approach,patients were divided into an observation group(breast-conserving surgery+sentinel lymph node biopsy)and a control group(other surgical methods such as modified radical mastectomy/total mastectomy).Clinical and pathological characteristics,incidence of postoperative complications,follow-up prognosis,and satisfaction with cosmetic outcomes were compared between the two groups.Results:Among the 68 patients,41 were in the observation group and 27 in the control group.The average age of patients in the observation group was(54.32±8.15)years,while that in the control group was(62.45±9.76)years.The average tumor size in the observation group was(1.86±0.72)cm,compared to(3.21±1.45)cm in the control group.The incidence of postoperative complications in the observation group was 9.76%,significantly lower than that in the control group at 33.33%(P<0.05).The 6-month disease-free survival rate was 95.12%in the observation group and 88.89%in the control group,with no statistically significant difference between the two groups(P>0.05).The excellent and good rate of cosmetic outcomes in the observation group was 87.80%,significantly higher than that in the control group at 29.63%(P<0.05).Conclusion:Breast-conserving surgery combined with sentinel lymph node biopsy for early-stage breast cancer can achieve long-term prognostic outcomes comparable to those of traditional radical surgery,with the advantages of fewer postoperative complications and superior cosmetic results.This approach is worthy of clinical promotion and application,particularly for early-stage breast cancer patients who have a demand for preserving breast morphology.
文摘AIM:To investigate the effects of chronic alcohol consumption on retinal microcirculation by comparing different alcohol-consuming groups using optical coherence tomography(OCT)and OCT angiography(OCTA).METHODS:This observational clinical study utilized a cross-sectional and prospective design,focusing on chronic alcohol consumers alongside a non-consuming control group.OCT/OCTA imaging parameters including central retinal subfield thickness(CST),subfoveal choroidal thickness(SCT),foveal avascular zone(FAZ)and vessel density(VD)in the superficial and deep capillary plexuses in both the macular and optic disc(OD)regions were recorded.Data were analyzed using SPSS 15.0;descriptive statistics were reported,group comparisons were performed with Chisquare,Kruskal–Wallis,and Bonferroni-corrected Mann–Whitney U tests,and relationships were assessed using Spearman correlation,with statistical significance set at P<0.05.RESULTS:A total of 160 eyes of 160 participants(110 females and 50 males with mean age 38.7±9.9y)who don’t smoke were divided into five groups:never,occasional,monthly,weekly and daily drinkers.The mean CST was 216.6±14.2μm and the mean SCT was 358.9±84.5μm.There was no statistically significantly difference in CST and SCT among the groups(P=0.890,0.799).Foveal superficial capillary plexuses(SCPs)VD was higher in monthly drinkers compared to occasional drinkers(P=0.015).Foveal VD in deep capillary plexus was also higher in monthly drinkers than in never and occasional drinkers(P=0.004,0.006).Nasal SCPs VD at the OD was higher in monthly drinkers compared to never drinkers(P=0.005).There was no significant difference FAZ area among the groups(P=0.071).CONCLUSION:Both superficial and deep microvascular structures in the inferior quadrants of macula are positively correlated with frequency of alcohol use.Also in our study results is that the monthly drinker group has uniquely higher VDs in both macula and OD.This leads us to consider moderate alcohol consumption may also have protective effects on retinal microcirculation.
基金supported by National Research Foundation(NRF)of Korea grants funded by the Korean government,the Ministry of Science and ICT[NRF-2022R1A2C1006737 to Joo-Won Park,NRF-2022R1I1A1A0106408112 to Min Hee Kim].
文摘Breast cancer is one of the most prevalent malignancies among women and comprises a heterogeneous spectrum of molecular subtypes with distinct biological behaviors.Among various regulatory molecules,sphingolipids play pivotal roles in dynamically modulating fundamental cellular processes such as proliferation,apoptosis,and metastasis through metabolic interconversions,including phosphorylation,glycosylation,and the generation of sphingosine-1-phosphate.This review aims to elucidate the mechanisms through which sphingolipid metabolism orchestrates cancer cell fate and drives breast cancer progression.Particular emphasis is placed on the balance between proapoptotic ceramides and pro-survival metabolites,such as sphingosine-1-phosphate,which collectively influence tumor growth and the therapeutic response.Additional sphingolipid species,including glucosylceramide and gangliosides(GD2,GD3,GM1,and GM3),have also been implicated in promoting breast cancer development.Furthermore,sphingolipid-based therapeutic strategies,including immunotherapy and antibody therapy,are discussed.By providing a comprehensive overview of sphingolipid metabolism,this review aims to identify novel therapeutic targets that may help overcome treatment resistance and improve clinical outcomes in breast cancer.
基金funded by Al Jalila Foundation-Research Grant(AJF2023-078)to SSMS.
文摘Objectives:Breast cancer(BC)is the leading cause of cancer-related mortality in women,largely due to metastasis.This study aims to explore the role of purine nucleoside phosphorylase(PNP),a key enzyme in purine metabolism,in the aggressiveness and metastatic behavior of BC.Methods:A comprehensive analysis was performed using in silico transcriptomic data(n=2509 patients),immunohistochemical profiling of BC tissues(n=103),and validation through western blotting in multiple BC cell lines.Gene expression and survival analyses were conducted using Tumor Immune Estimation Resource(TIMER),Gene Expression Profiling Interactive Analysis 2(GEPIA2),and the cBioPortal for cancer genomics(cBioPortal)platforms.Correlations between PNP and key epithelial–mesenchymal transition(EMT)markers,molecular subtypes,tumor grades,and stages were examined.Results:PNP was significantly overexpressed in human epidermal growth factor receptor 2(HER-2)-positive and triple-negative BCs compared to luminal subtypes.High PNP levels were strongly associated with advanced BC stages,high-grade tumors,EMT phenotypes,and poor overall survival.Notably,HER-2 inhibition suppressed PNP expression,while PNP gene silencing induced HER-2 upregulation,revealing a reciprocal regulatory loop.Dual inhibition of PNP and HER-2 resulted in a significant reduction in cell viability compared to HER-2 inhibition alone.Conclusion:Collectively,PNP emerges as a promising biomarker of BC aggressiveness and progression.Its reciprocal interaction with HER-2 underscores its potential as a therapeutic target.Dual targeting of PNP and HER-2 may offer a novel strategy for improving outcomes in aggressive BC subtypes.
文摘Breast cancer(BRCA)is characterized by high heterogeneity,with aggressive subtypes frequently showing poor prognosis and resistance to conventional therapies,making the discovery of new therapeutic targets and strategies imperative.Although elevated expression of discs large homolog 3(DLG3)has been reported in BRCA,its functional role in disease progression remains unclear.We performed bioinformatic analyses of clinical datasets to evaluate the prognostic significance of DLG3 expression in BRCA patients.In vitro gain-and loss-of-function experiments were conducted to assess the impact of DLG3 on BRCA cell proliferation,migration,and colony formation.Transcriptomic profiling,coupled with pharmacological inhibition,was employed to identify and validate downstream signaling pathways.Additionally,we extended our validation to an in vivo model to assess the role of DLG3 in tumor progression.We found that elevated DLG3 levels correlated with poor prognosis in breast cancer patients.Functionally,DLG3 overexpression significantly promoted cell proliferation and migration in estrogen receptor-positive MCF7 and triple-negative MDA-MB-231 breast cancer cells,whereas its knockdown suppressed these effects.Transcriptomic analyses revealed that DLG3 activates signal transducer and activator of transcription 3(STAT3)signaling,a finding further corroborated by Western blot.Critically,treatment with the STAT3 inhibitor Stattic attenuated DLG3-driven proliferation and migration,supporting a DLG3-STAT3 oncogenic axis.Furthermore,in vivo studies validated the role of DLG3 in promoting tumor growth and its correlation with elevated STAT3 signaling,consistent with our in vitro findings.Our findings establish DLG3 as a novel driver of breast cancer progression that directly activates STAT3 signaling.DLG3 thus represents both a potential prognostic biomarker and a promising therapeutic target for aggressive breast cancer subtypes,including triple-negative breast cancer.
基金supported by the Regional Innovation System&Education(RISE)program through the Jeollanamdo RISE center,funded by the Ministry of Education(MOE)and the Jeollanamdo,Republic of Korea(2025-RISE-14-003).
文摘Objective Tumor-associated macrophages(TAMs)contribute to chemoresistance in triple-negative breast cancer(TNBC),yet strategies to reprogram TAMs while enhancing chemotherapy efficacy remain limited.This study investigated whether Viscum album L.var.coloratum agglutinin(VCA)could sensitize TNBC cells to doxorubicin(DOX)and modulate TAM-mediated chemoresistance in three-dimensional(3D)co-culture models.Methods MDA-MB-231 TNBC cells were co-cultured with RAW264.7 macrophages in collagen-embedded 3D spheroids.Spheroid viability was assessed using an ATP-based luminescent assay.Cytokine secretion and epithelial-mesenchymal transition(EMT)markers were measured using ELISA and Western blotting.Drug synergy was evaluated using combination index(CI)calculations.Results VCA-DOX combination demonstrated synergistic cytotoxicity exclusively in co-culture spheroids(CI=0.72),reducing viability to 25.9%(p<0.001),while showing no synergy in monoculture(CI=1.52).Combination treatment decreased VEGF secretion by 49%and IL-6 by 74%,while elevating TNF-α2.7-fold,suggesting macrophage reprogramming.VCA enhanced E-cadherin expression while suppressing mesenchymal markers in co-culture spheroids and reduced Matrigel invasion by 60%(p<0.001).Conclusion VCA-DOX combination demonstrates synergistic anticancer effects through TAM reprogramming and enhanced chemosensitization specifically in 3D co-culture models,warranting further investigation for overcoming macrophage-mediated chemoresistance in TNBC.
基金supported by the Natural Science Foundation of Jilin Province(No.SKL202302002).
文摘Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis.Herein,the targeted theranostic platform of cysteine-modified gold nanodots-sulfhydrated luteinizing hormone releasing hormone(CGN-SLR)nanosystem was designed for target recognition and precise dual-mode imaging-guided photothermal therapy(PTT)against TNBC.On the one hand,the CGN-SLR nanosystem can serve as an ideal targeting fluorescent probe and computed tomography(CT)enhancer to facilitate the accurate diagnosis and surgical guidance of TNBC.On the other hand,the CGN-SLR nanosystem with great targeting and PTT ability can significantly inhibit the growth of TNBC,without causing harm to normal tissues and healthy organs.It provides an effective strategy for the diagnosis and treatment of TNBC through the rational design of multifunctional nanoplatform with target recognition,multiple imaging guidance/monitoring,and high-efficiency PTT.
基金funded by the Deutsche Forschungsgemeinschaft(DFG)grant number(KA2663/3-1)supported by the Ministry of Science,Research and Cultural Affairs of the State of Brandenburg.
文摘Objectives:Vascular endothelial growth factor(VEGF)regulates tumor vascularization in response to hypoxia and inflammatory signals.The polyphenol curcumin is supposed to interfere with inflammation-induced VEGF secretion and might therefore support anti-VEGF-based treatments.We aimed to investigate the interaction between curcumin and the inflammatory cytokine Interleukin-1β(IL-1β)for VEGF secretion in breast cancer cell lines representing major breast cancer subtypes.Methods:VEGF in cell cultures was detected by Western blot and enzyme-linked immunosorbent assay(ELISA).Kinase phosphorylation was investigated by Western blotting.Gene expressions were analyzed by correlation tests.VEGF was evaluated in a retrospective breast cancer cohort by immunohistochemistry.Survival analysis was performed by the Kaplan-Meier algorithm.Results:VEGF secretion and kinase signaling in response to IL-1βand curcumin varied significantly for the cell lines MCF-7(Luminal A),SK-BR-3(HER2/neu+),MDA-MB-231,and UACC-3199(triple negative breast cancer).All cell lines increased VEGF secretion under hypoxia,but IL-1βincreased VEGF secretion only in MCF-7 cells.Curcumin inhibited VEGF secretion in MDA-MB-231,but increased it in MCF-7 and UACC-3199 cells.Curcumin induced phosphorylation of extracellular signal-regulated kinase(ERK)and p38-mitogen-activated protein kinase(p38-MAPK).However,inhibitor experiments demonstrated that ERK was more important for VEGF secretion.In gene expression data from the METABRIC study,no clear correlation of hypoxia-induced factor(HIF1A),IL-1β,and VEGF mRNA expression was observed;however,a suggested crosstalk of hypoxia and inflammatory pathways was observed.Conclusion:These dissimilar responses of breast cancer cell lines suggest that therapy efficiency with anti-VEGF,anti-IL-1β,or curcumin will also vary within breast cancers.
基金supported by the Science and Technology Strategic Cooperation Programs of Luzhou Municipal People's Government and Southwest Medical University(No.2024LZXNYDJ017)the Project Program of the Science and Technology Department of Sichuan Province(No.2025zNSFSC0679)the Project Program of Chongqing Science and Technology Bureau(No.cstc2020jcyjmsxmX1037).
文摘Although the combination of chemotherapy and immunotherapy can improve the treatment of breast cancer,traditional drugs are highly toxic because they do not specifically target tumors.In this study,we developed a self-driving bacteria/nanoparticle biohybrid called Bif@PDA-aPD1/DOX-Lip by attaching polydopamine(PDA)coated doxorubicin(DOX)liposomes and the immune checkpoint inhibitor anti-programmed cell death protein 1 antibody(aPD-1)to Bifidobacterium infantis(B.infantis,Bif).Using the homing abilities of bacteria,Bif@PDA-aPD1/DOX-Lip could actively accumulate in tumor tissue,releasing DOX and aPD-1 in the acidic environment to have a synergistic anti-tumor effect.Results show that the concentration of DOX in tumors of the Bif@PDA-aPD1/DOX-Lip group was 6.31 times higher than in the free DOX group.The combination of DOX and aPD-1 not only killed tumor cells but also promoted immune normalization by maturing dendritic cells(DCs),increasing M1 macrophage ratio,and enhancing infiltration of CD8+and CD4+T cells in tumors and spleen.Therefore,Bif@PDA-aPD1/DOX-Lip therapy significantly inhibited tumor growth and increased the average survival time of mice to over 80 days.The Bif@PDA-aPD1/DOX-Lip biomotors offer a highly effective method for enhancing chemo-immunotherapy in solid tumors.
文摘This literature review explores the complex interaction between p53 and microRNAs(miRNAs)in the occurrence and progression of breast cancer(BC),the most common and lethal tumor type among women.BC is a multifactorial disease resulting from a combination of genetic and epigenetic alterations in cell DNA,influencing proliferation,differentiation,and migration.TP53 gene,which codifies p53 protein,is a known tumor suppressor,and it plays an important role in cell maintenance as DNA repair,cell proliferation control,and apoptosis activation.TP53 expression can be modulated by several miRNAs,as miR-30c,miR-34a,and the miR-200 family,inhibiting p53 production and silencing its tumor suppressor effects.On the other hand,p53 protein can modulate several miRNAs expression,as miR-146a,miR-192,and the miR-200 family,by acting as a transcription factor or by modulating miRNA processing,interfering with BC aggressiveness and progression.Understanding the role of p53 and miRNAs in BC may aid in identifying new biomarkers and developing new targeted therapies for patient treatment.
文摘Oncology Research Editorial Office Published:19 January 2026 The published article titled“ABCB5-ZEB1 Axis Promotes Invasion and Metastasis in Breast Cancer Cells”has been retracted from Oncology Research,Vol.25,No.3,2017,pp.305-316.DOI:10.3727/096504016X14734149559061 URL:https://www.techscience.com/or/v25n3/56810.
基金funded by BK21 FOUR(Fostering Outstanding Universities for Research)(No.:5199990914048).
文摘Accurate segmentation of breast cancer in mammogram images plays a critical role in early diagnosis and treatment planning.As research in this domain continues to expand,various segmentation techniques have been proposed across classical image processing,machine learning(ML),deep learning(DL),and hybrid/ensemble models.This study conducts a systematic literature review using the PRISMA methodology,analyzing 57 selected articles to explore how these methods have evolved and been applied.The review highlights the strengths and limitations of each approach,identifies commonly used public datasets,and observes emerging trends in model integration and clinical relevance.By synthesizing current findings,this work provides a structured overview of segmentation strategies and outlines key considerations for developing more adaptable and explainable tools for breast cancer detection.Overall,our synthesis suggests that classical and ML methods are suitable for limited labels and computing resources,while DL models are preferable when pixel-level annotations and resources are available,and hybrid pipelines are most appropriate when fine-grained clinical precision is required.
文摘Breast cancer screening programs rely heavily on mammography for early detection;however,diagnostic performance is strongly affected by inter-reader variability,breast density,and the limitations of conven-tional computer-aided detection systems.Recent advances in deep learning have enabled more robust and scalable solutions for large-scale screening,yet a systematic comparison of modern object detection architectures on nationally representative datasets remains limited.This study presents a comprehensive quantitative comparison of prominent deep learning–based object detection architectures for Artificial Intelligence-assisted mammography analysis using the MammosighTR dataset,developed within the Turkish National Breast Cancer Screening Program.The dataset comprises 12,740 patient cases collected between 2016 and 2022,annotated with BI-RADS categories,breast density levels,and lesion localization labels.A total of 31 models were evaluated,including One-Stage,Two-Stage,and Transformer-based architectures,under a unified experimental framework at both patient and breast levels.The results demonstrate that Two-Stage architectures consistently outperform One-Stage models,achieving approximately 2%–4%higher Macro F1-Scores and more balanced precision–recall trade-offs,with Double-Head R-CNN and Dynamic R-CNN yielding the highest overall performance(Macro F1≈0.84–0.86).This advantage is primarily attributed to the region proposal mechanism and improved class balance inherent to Two-Stage designs.One-Stage detectors exhibited higher sensitivity and faster inference,reaching Recall values above 0.88,but experienced minor reductions in Precision and overall accuracy(≈1%–2%)compared with Two-Stage models.Among Transformer-based architectures,Deformable DEtection TRansformer demonstrated strong robustness and consistency across datasets,achieving Macro F1-Scores comparable to CNN-based detectors(≈0.83–0.85)while exhibiting minimal performance degradation under distributional shifts.Breast density–based analysis revealed increased misclassification rates in medium-density categories(types B and C),whereas Transformer-based architectures maintained more stable performance in high-density type D tissue.These findings quantitatively confirm that both architectural design and tissue characteristics play a decisive role in diagnostic accuracy.Overall,the study provides a reproducible benchmark and highlights the potential of hybrid approaches that combine the accuracy of Two-Stage detectors with the contextual modeling capability of Transformer architectures for clinically reliable breast cancer screening systems.
文摘BACKGROUND:Breast hyperplasia is a common benign breast disease mainly caused by endocrine disorders,manifested as abnormal hyperplasia of breast tissue.In recent years,traditional Chinese medicine compounds and probiotics have shown good potential in regulating the endocrine system and improving the intestinal microecology,providing new ideas for the treatment of breast hyperplasia.OBJECTIVE:To explore the effects and mechanisms of traditional Chinese medicine compounds and fermented probiotic compounds on breast hyperplasia in mice,providing new theoretical and experimental bases for the clinical treatment and prevention of breast hyperplasia.METHODS:(1)Network pharmacology tools were used to predict the anti-breast-hyperplasia activity of Herba Gueldenstaedtiae(Euphorbia humifusa),as well as its potential targets and signaling pathways.The databases included:TCMSP,OMIM,GeneCards database,UniProt website,Venny2.1.0 website,Metascape,HERB website,and STRING database,all of which are open-access databases.Network pharmacology can predict and screen key information such as the targets corresponding to the active ingredients of traditional Chinese medicine,disease targets,and action pathways through network analysis and computer-system analysis.Therefore,it has been increasingly widely used in the research of traditional Chinese medicine.(2)A breast hyperplasia model was induced in mice by injecting estrogen and progesterone.Mice in the normal blank group were injected intraperitoneally with normal saline every day.Mice in the model group and drugadministration groups were injected intraperitoneally with estradiol benzoate injection at a concentration of 0.5 mg/kg every day for 25 days.From the 26th day,the injection of estradiol benzoate injection was stopped.Mice in the normal blank group were injected intramuscularly with normal saline every day,and mice in the model group and drug-administration groups were injected intramuscularly with progesterone injection at a concentration of 5 mg/kg for 5 days.After the model was established,each group was given drugs respectively.The normal blank group and the model group were gavaged with 0.2 mL/d of normal saline;the positive blank group(Xiaozheng Pill group)was gavaged with an aqueous solution of Xiaozheng Pill at 0.9 mg/g;the low-,medium-and high-dose groups of Compound Herba Gueldenstaedtiae were gavaged with an aqueous solution of the compound medicine at 0.75,1.5,and 3.0 mg/(g·d)respectively;the low-,medium-and high-dose groups of traditional Chinese medicine-bacteria fermentation were gavaged with an aqueous solution of the compound medicine at 0.75,1.5,and 3.0 mg/(g·d)respectively.The administration was continuous for 30 days.RESULTS AND CONCLUSION:(1)The results of network pharmacology research showed that the Compound Herba Gueldenstaedtiae(Euphorbia humifusa)contained 46 active ingredients,which were related to 1213 potential targets.After comparison with 588 known breast-hyperplasia targets,it was speculated that 50 of these targets might be related to the direct effect of the compound on breast hyperplasia.(2)After drug intervention,there was no significant change in the high-dose group of Compound Herba Gueldenstaedtiae compared with the normal blank group.The liver indicators of the other intervention groups all significantly decreased(P<0.05).(3)In terms of kidney and uterine indicators,the medium-dose group of Compound Herba Gueldenstaedtiae decreased significantly compared with the normal blank group(P<0.05).In terms of the uterine index,the model group increased significantly compared with the normal blank group(P<0.01).(4)After 1-month drug treatment,the number of lobules and acini in the breast tissue of the Xiaozheng Pill group,the low,medium,and high-dose group of Compound Herba Gueldenstaedtiae,the low,medium,and highdose groups of traditional Chinese medicine-bacteria fermentation decreased,and the duct openings narrowed.With the increase of drug dose,diffuse hyperplasia of breast tissue was significantly improved.(5)The ELISA results showed that compared with the model group,the estrogen level was lower in the medium-dose group of traditional Chinese medicine-bacteria fermentation after the intervention(P<0.05).In addition,the follicle-stimulating hormone level in the low-dose group of Compound Herba Gueldenstaedtiae was lower than that of the model group(P<0.05).(6)The intervention in the mouse model led to changes in the abundance of short chain fatty acids and intestinal flora in all groups.To conclude,the Compound Herba Gueldenstaedtiae and its probiotic fermentation products significantly improved mammary gland hyperplasia in mice by regulating hormone levels,improving the structure of the gut microbiota,and increasing the content of shortchain fatty acids,providing new ideas and potential sources of drugs for the treatment of breast hyperplasia.
文摘The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare IoT(H-IoT)technology,which also provides proactive statistical findings and precise medical diagnoses that enhance healthcare performance.This study examines how ML might support IoT-based health care systems,namely in the areas of prognostic systems,disease detection,patient tracking,and healthcare operations control.The study looks at the benefits and drawbacks of several machine learning techniques for H-IoT applications.It also examines the fundamental problems,such as data security and cyberthreats,as well as the high processing demands that these systems face.Alongside this,the essay discusses the advantages of all the technologies,including machine learning,deep learning,and the Internet of Things,as well as the significant difficulties and problems that arise when integrating the technology into healthcare forecasts.
文摘Objective:To evaluate the clinical efficacy of blood-letting cupping combined with manual lymphatic drainage in treating breast cancer-related lymphedema(BCRL)and explore its mechanism of action from both traditional Chinese medicine and modern medical perspectives,providing a scientific basis and novel therapeutic approaches for clinical management of BCRL.Methods:Patients with BCRL admitted to the outpatient and inpatient departments of Hebei University Affiliated Hospital were enrolled.A prospective randomized controlled trial design was adopted,with eligible patients randomly assigned to a treatment group and a control group.The control group received manual lymphatic drainage alone,while the treatment group received manual lymphtic drainage combined with blood-letting cupping therapy.Posttreatment comparisons evaluated upper limb circumference reduction,edema severity grading,and upper limb functional scores.Vital signs and adverse reactions during treatment were recorded for both groups.Statistical software analyzed the data.Results:The treatment group demonstrated significantly greater reduction in upper limb circumference,improvement in edema severity,and higher upper limb function scores compared to the control group(P<0.05).Vital signs remained stable throughout treatment in both groups.No severe adverse reactions occurred in the treatment group;only isolated cases of mild skin itching were reported,which resolved after symptomatic management.Conclusion:The combination of bloodletting cupping and manual lymphatic drainage demonstrates reliable efficacy in treating BCRL,effectively alleviating edema symptoms and improving upper limb function with high safety.Its mechanism may relate to traditional Chinese medicine principles of“unblocking meridians,promoting blood circulation,and resolving stasis”and modern medical concepts of“enhancing local blood circulation,facilitating lymphatic drainage,and reducing inflammatory responses”.
基金supported by the Natural Science Foundation of Guangdong Province(No.2021B1515120053)Guangdong Basic and Applied Basic Research Foundation(Grant No.2024A1515140166).
文摘Background:Therapeutic responses of breast cancer vary among patients and lead to drug resistance and recurrence due to the heterogeneity.Current preclinical models,however,are inadequate for predicting individual patient responses towards different drugs.This study aimed to investigate the patient-derived breast cancer culture models for drug sensitivity evaluations.Methods:Tumor and adjacent tissues from female breast cancer patients were collected during surgery.Patient-derived breast cancer cells were cultured using the conditional reprogramming technique to establish 2D models.The obtained patient-derived conditional reprogramming breast cancer(CRBC)cells were subsequently embedded in alginate-gelatin methacryloyl hydrogel microspheres to form 3D culture models.Comparisons between 2D and 3D models were made using immunohistochemistry(tumor markers),MTS assays(cell viability),flow cytometry(apoptosis),transwell assays(migration),and Western blotting(protein expression).Drug sensitivity tests were conducted to evaluate patient-specific responses to anti-cancer agents.Results:2D and 3D culture models were successfully established using samples from eight patients.The 3D models retained histological and marker characteristics of the original tumors.Compared to 2D cultures,3D models exhibited increased apoptosis,enhanced drug resistance,elevated stem cell marker expression,and greater migration ability—features more reflective of in vivo tumor behavior.Conclusion:Patient-derived 3D CRBC models effectively mimic the in vivo tumor microenvironment and demonstrate stronger resistance to anti-cancer drugs than 2D models.These hydrogel-based models offer a cost-effective and clinically relevant platform for drug screening and personalized breast cancer treatment.
