Objective:Bladder cancer(BCa)is a prevalent malignant tumor in the urinary system.Molecular subtyping,utilizing molecular characteristics,represents a novel classification system that has demonstrated its efficacy in ...Objective:Bladder cancer(BCa)is a prevalent malignant tumor in the urinary system.Molecular subtyping,utilizing molecular characteristics,represents a novel classification system that has demonstrated its efficacy in tumor diagnosis and treatment.Given the critical role of molecular subtyping in the BCa treatment,acquiring a comprehensive understanding is imperative for guiding treatment decisions,optimizing risk assessment systems,and ultimately improving patient prognosis.Methods:In this review,we provide a comprehensive overview of the research progress in molecular subtyping of BCa,with a primary focus on discussing its utility in guiding various treatment modalities including neoadjuvant chemotherapy,neoadjuvant immunotherapy,and targeted therapy.In addition,this review also covers the trimodality treatment,antibody-drug conjugates,and the treatment of small cell BCa.Results:We present a comprehensive overview of the responsiveness or resistance of different molecular subtypes of BCa to various therapeutic modalities.The basal subtype demonstrates favorable sensitivity to neoadjuvant chemotherapy across multiple classification systems,whereas the luminal infiltrated subtype exhibits potential susceptibility to immunotherapy.In terms of targeted therapy,the basal-like and the basal/squamous subtypes in some classifications have shown notable responsiveness to epidermal growth factor receptor-targeted therapy.Moreover,the luminal subtype in the University of Texas M.D.Anderson Cancer Center classification,the luminal papillary subtypes according to the Cancer Genome Atlas Research Network classification in 2017,and the luminal unstable type in the 2019 Molecular Subtyping classification show potential for the fibroblast growth factor receptor 3-targeted treatment.Conclusion:The significance and impact of BCa molecular subtyping in guiding treatment,evaluating progression,and predicting prognosis are increasingly acknowledged.Accurate subtyping and broad application can bring good benefits to clinical decision-making,risk assessment,and prognostic evaluation.展开更多
During the process of carcinogenesis and tumor progression,various molecular alternations occur in different omics levels.In recent years,multiomics approaches including genomics,epigenetics,transcriptomics,proteomics...During the process of carcinogenesis and tumor progression,various molecular alternations occur in different omics levels.In recent years,multiomics approaches including genomics,epigenetics,transcriptomics,proteomics,metabolomics,single-cell omics,and spatial omics have been applied in mapping diverse omics profiles of cancers.The development of high-throughput technologies such as sequencing and mass spectrometry has revealed different omics levels of tumor cells or tissues separately.While focusing on a single omics level results in a lack of accuracy,joining multiple omics approaches together undoubtedly benefits accurate molecular subtyping and precision medicine for cancer patients.With the deepening of tumor research in recent years,taking pathological classification as the only criterion of diagnosis and predicting prognosis and treatment response is found to be not accurate enough.Therefore,identifying precise molecular subtypes by exploring the molecular alternations during tumor occurrence and development is of vital importance.The review provides an overview of the advanced technologies and recent progress in multiomics applied in cancer molecular subtyping and detailedly explains the application of multiomics in identifying cancer driver genes and metastasis-related genes,exploring tumor microenvironment,and selecting liquid biopsy biomarkers and potential therapeutic targets.展开更多
Pancreatic ductal adenocarcinoma(PDAC)is a global health challenge and remains one of the most lethal malignancies;there are only a few therapeutic options.However,significant efforts have led to the identification of...Pancreatic ductal adenocarcinoma(PDAC)is a global health challenge and remains one of the most lethal malignancies;there are only a few therapeutic options.However,significant efforts have led to the identification of major genetic factors that drive the progression and pathogenesis of PDAC.Notably,the research and application of molecular targeted therapies and immunotherapies have rapidly increased and facilitated great progress in the treatment of many malignant tumors,additional targeted therapies and immunotherapy based on next-generation sequencing results provide new opportunities for the diagnosis and treatment of pancreatic tumors.Immune checkpoint inhibitors are also now being incorporated as PDAC therapies,and combinations of molecularly targeted therapies with immunotherapies are emerging as strategies for boosting the immune response.The investigation of biomarkers of a response or primary resistance to immunotherapies is also an emerging research area.Herein,we further discuss the recent technological advances that continue to expand our understanding of PDAC complexity.We discuss the advancements expected in the near future,including biomarker-driven treatments and immunotherapies.We presume that the clinical translation of these research efforts will improve the survival outcomes of this challenging disease,which are currently dismal.展开更多
Sonic Hedgehog Medulloblastoma(SHH-MB)is one of the four primary molecular subgroups of Medulloblastoma.It is estimated to be responsible for nearly one-third of allMB cases.Using transcriptomic and DNA methylation pr...Sonic Hedgehog Medulloblastoma(SHH-MB)is one of the four primary molecular subgroups of Medulloblastoma.It is estimated to be responsible for nearly one-third of allMB cases.Using transcriptomic and DNA methylation profiling techniques,new developments in this field determined four molecular subtypes for SHH-MB.SHH-MB subtypes show distinct DNAmethylation patterns that allow their discrimination fromoverlapping subtypes and predict clinical outcomes.Class overlapping occurs when two or more classes share common features,making it difficult to distinguish them as separate.Using the DNA methylation dataset,a novel classification technique is presented to address the issue of overlapping SHH-MBsubtypes.Penalizedmultinomial regression(PMR),Tomek links(TL),and singular value decomposition(SVD)were all smoothly integrated into a single framework.SVD and group lasso improve computational efficiency,address the problem of high-dimensional datasets,and clarify class distinctions by removing redundant or irrelevant features that might lead to class overlap.As a method to eliminate the issues of decision boundary overlap and class imbalance in the classification task,TL enhances dataset balance and increases the clarity of decision boundaries through the elimination of overlapping samples.Using fivefold cross-validation,our proposed method(TL-SVDPMR)achieved a remarkable overall accuracy of almost 95%in the classification of SHH-MB molecular subtypes.The results demonstrate the strong performance of the proposed classification model among the various SHH-MB subtypes given a high average of the area under the curve(AUC)values.Additionally,the statistical significance test indicates that TL-SVDPMR is more accurate than both SVM and random forest algorithms in classifying the overlapping SHH-MB subtypes,highlighting its importance for precision medicine applications.Our findings emphasized the success of combining SVD,TL,and PMRtechniques to improve the classification performance for biomedical applications with many features and overlapping subtypes.展开更多
Objectives:Triple-negative breast cancer(TNBC)presents a major treatment challenge due to its aggressive behavior.The dysfunction of the Golgi apparatus(GA)contributes to the development of various cancers.This study ...Objectives:Triple-negative breast cancer(TNBC)presents a major treatment challenge due to its aggressive behavior.The dysfunction of the Golgi apparatus(GA)contributes to the development of various cancers.This study aimed to utilize GA-related genes(GARGs)to forecast the prognosis and immune profile of TNBC.Methods:The data were downloaded from The Cancer Genome Atlas(TCGA)database,including 175 TNBC and 99 healthy samples.The differentially expressed GARGs(DEGARGs)were analyzed using the TCGA biolinks package.The patients with TNBC were classified into two clusters utilizing the ConsensusClusterPlus package according to prognosis-related DEGARGs,followed by comparing the differences in prognosis and immune infiltration between the two clusters.Next,LASSO and stepwise Cox regression were applied to establish a GARGs signature to forecast the TNBC prognosis.The association of the GARGs signature with immune infiltrates and drug sensitivity was further explored.Results:In total,430 DEGARGs were identified between TNBC and healthy samples,among which 20 were related to TNBC prognosis.Two GARG-related molecular clusters associated with different survival times and immune heterogeneity were identified.A risk model for TNBC was established based on six GARGs,and the high-risk(HR)group exhibited a poor prognosis.The HR group demonstrated a distinctly high M2 macrophage infiltration and low M1 macrophage infiltration,which contributed to an immunosuppressive tumor microenvironment and thus led to poor prognosis of the HR group.Immune dysfunction scores and programmed cell death ligand 1(PD-L1)expression were substantially elevated in the HR group.The HR group showed increased sensitivity to anticancer drugs,such as cisplatin.Conclusion:Our findings suggest that GARGs are involved in the pathogenesis of TNBC and provide new insights into prognostic prediction.The identified clusters and GARGs signatures have the potential to guide individualized therapy.展开更多
Hepatocellular carcinoma(HCC)is one of the most prevalent and fatal digestive tumors.Treatment for this disease has been constraint by heterogeneity of this group of tumors,which has greatly limited the progress in pe...Hepatocellular carcinoma(HCC)is one of the most prevalent and fatal digestive tumors.Treatment for this disease has been constraint by heterogeneity of this group of tumors,which has greatly limited the progress in personalized therapy.Although existing studies have revealed the genetic and epigenetic blueprints that drive HCCs,many of the molecular mechanisms that lead to HCCs remain elusive.Recent advances in techniques for studying functional genomics,such as genome sequencing and transcriptomic analyses,have led to the discovery of molecular mechanisms that participate in the initiation and evolution of HCC.Integrative multi-omics analyses have identified several molecular subtypes of HCC associated with specific molecular characteristics and clinical outcomes.Deciphering similar molecular features among highly heterogeneous HCC patients is a prerequisite to implementation of personalized therapeutics.This review summarizes the current research progresses in precision therapy on the backbone of molecular subtypes of HCC.展开更多
Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior.Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy.D...Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior.Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy.During the past decades,DNA-based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity.Despite the encouraging progress that has been made,there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease,especially in preclinical or clinical applications.To accelerate the development of DNA sensors in the identification of cancer subtypes,in this review,we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes.The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface,as well as the cancer excretions including extracellular vesicles(EVs)and microRNA(miRNAs)in serum,are summarized.Current challenges and the opportunities of DNA-based sensors in this field are also discussed.展开更多
Objective:Triple-negative breast cancer(TNBC)is a heterogeneous and aggressive cancer.Although our previous study classified primary TNBC into four subtypes,comprehensive longitudinal investigations are lacking.Method...Objective:Triple-negative breast cancer(TNBC)is a heterogeneous and aggressive cancer.Although our previous study classified primary TNBC into four subtypes,comprehensive longitudinal investigations are lacking.Methods:We assembled a large-scale,real-world cohort comprised of 880 TNBC patients[465 early-stage TNBC(eTNBC)and 415 metastatic TNBC(mTNBC)patients]who were treated at Fudan University Shanghai Cancer Center.The longitudinal dynamics of TNBC subtypes during disease progression were elucidated in this patient cohort.Comprehensive analysis was performed to compare primary and metastatic lesions within specific TNBC subtypes.Results:The recurrence and metastasis rates within 3 years after initial diagnosis in the eTNBC cohort were 10.1%(47/465).The median overall survival(OS)in the mTNBC cohort was 27.2 months[95%confidence interval(CI),24.4–30.2 months],which indicated a poor prognosis.The prognostic significance of the original molecular subtypes in both eTNBC and mTNBC patients was confirmed.Consistent molecular subtypes were maintained in 77.5%of the patients throughout disease progression with the mesenchymal-like(MES)subtype demonstrating a tendency for subtype transition and brain metastasis.Additionally,a precision treatment strategy based on the metastatic MES subtype of target lesions resulted in improved progression-free survival in the FUTURE trial.Conclusions:Our longitudinal study comprehensively revealed the clinical characteristics and survival of patients with the original TNBC subtypes and validated the consistency of most molecular subtypes throughout disease progression.However,we emphasize the major importance of repeat pathologic confirmation of the MES subtype.展开更多
Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help ...Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy.Methods:Gens related to CD8+T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues.Weighted gene co-expression network analysis(WGCNA),consensus clustering,differential expression analysis,least absolute shrinkage and selection operator(LASSO)and Cox regression analysis were conducted to classify molecular subtypes for LUAD and to develop a risk model using prognostic genes related to CD8+T cells.Expression of the genes in the prognostic model,their effects on tumor cell invasion,and interactions with CD8+T cells were verified by cell experiments.Results:This study defined two LUAD clusters(CD8+0 and CD8+1)based on CD8+T cells,with cluster CD8+0 being significantly associated with the prognosis of LUAD.Three heterogeneous subtypes(clusters 1,2,and 3)differing in prognosis,genome mutation events,and immune status were categorized using 42 prognostic genes.A prognostic model created based on 11 significant genes(including CD200R1,CLEC17A,ZC3H12D,GNG7,SNX30,CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2,and KRT81)was able to independently estimate the death risk for patients in different LUAD cohorts.Moreover,the model also showed general applicability in external validation cohorts.Low-risk patients could benefit more from taking immunotherapy and were significantly related to the resistance to anticancer drugs.The results from cell experiments demonstrated that the expression of CD200R1,CLEC17A,ZC3H12D,GNG7,and SNX30 was significantly downregulated,while that of CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2 and KRT81 was upregulated in LUAD cells.Inhibition of CD200R1 greatly increased the invasiveness of the LUAD cells,but inhibiting CDCP1 expression weakened the invasion ability of LUAD cells.Conclusion:This study defined two prognostic CD8+T cell clusters and classified three heterogeneous molecular subtypes for LUAD.A prognostic model predictive of the potential effects of immunotherapy on LUAD patients was developed.展开更多
Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients ...Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.Materials and methods:PubMed,Web of Science,Embase,Cochrane Library,Scopus,and clinical trials.gov databases were searched from January 2016 to May 2022.The following search terms were used:ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma.Only studies written in English were included.The following pre-specified criteria should be met for inclusion:(i)original articles,conference abstracts,etc.;(ii)patients with breast cancer;(iii)ctDNA measurement;and(iv)clinical outcome data such as recurrence-free survival(RFS)and overall survival(OS).The random-effects model was preferred considering the potential het-erogeneity across studies.The main outcomes are ctDNA detection rate and postoperative long-term outcomes(RFS and OS).Results:A total of 24 studies were screened.At every measurement time,the ctDNA detection rate of the HR+subgroup was similar to that of the HR-subgroup(P=0.075;P=0.458;P=0.744;and P=0.578),and the ctDNA detection rate of the HER2+subgroup was similar to that of the HER2-subgroup(P=0.805;P=0.271;P=0.807;and P=0.703).In the HR+subgroup,RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients(P=0.589 and P=0.110),while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR-subgroup(HR=4.03,P<0.001;HR=3.21,P<0.001).According to HER grouping,the results were the same as above.In the triple negative breast cancer(TNBC)subgroup,the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.Conclusions:ctDNA was more predictive of recurrence-free survival and overall survival in the HR-subgroup than in the HR+subgroup,and the same result was showed in the HER2-subgroup vs.HER2+subgroup.The prognosis of the TNBC subtype is closely related to ctDNA before and after surgery.展开更多
Introduction Small cell lung cancer(SCLC)is a highly aggressive malignancy with limited treatment options.Despite advances in immunotherapy,response rates remain low,and the efficacy of current molecular subtyping1,2 ...Introduction Small cell lung cancer(SCLC)is a highly aggressive malignancy with limited treatment options.Despite advances in immunotherapy,response rates remain low,and the efficacy of current molecular subtyping1,2 is insufficient to predict therapeutic outcomes3,4.A recently identified vulnerability in SCLC involves the dysregulation of nuclear-cytoplasmic transport,particularly through exportin 1(XPO1)5-7.展开更多
Background:Bladder cancer prognosis remains suboptimal despite advancements in research.Current molecular subtyping methods are resource-intensive,highlighting the need for efficient,cost-effective approaches to predi...Background:Bladder cancer prognosis remains suboptimal despite advancements in research.Current molecular subtyping methods are resource-intensive,highlighting the need for efficient,cost-effective approaches to predict BCa molecular subtypes.Method:We developed a predictive model for BCa molecular subtypes using machine learning(ML)and pathomics derived from Hematoxylin-Eosin stained pathological slides.A cohort of 353 patients from TCGA was employed,and image features were extracted for analysis.Pathomic signatures were constructed using the LASSO Cox regression algorithm,and a pathomic-clinical nomogram was developed and validated in training and testing cohorts.Results:Seventy distinct image features were identified from 150 pathomic signatures.The model demonstrated robust predictive ability,with AUCs of 0.833 and 0.822 in the training and validation cohorts,respectively.The addition of pathomic score,N stage,and M stage improved the model’s discrimination,achieving AUCs of 0.877 and 0.794 in the training and validation cohorts.Limitations include the lack of an external validation cohort.Conclusion:Our ML-based pathomics model shows promise in predicting BCa molecular subtypes and has the potential to enhance prognosis prediction and inform treatment strategies,marking a significant step towards precision medicine for BCa.展开更多
Gastric cancer(GC) is a highly heterogenic disease,and it is the second leading cause of cancer death in the world.Common chemotherapies are not very effective for GC,which often presents as an advanced or metastatic ...Gastric cancer(GC) is a highly heterogenic disease,and it is the second leading cause of cancer death in the world.Common chemotherapies are not very effective for GC,which often presents as an advanced or metastatic disease at diagnosis.Treatment options are limited,and the prognosis for advanced GCs is poor.The landscape of genomic alterations in GCs has recently been characterized by several international cancer genome programs,including studies that focused exclusively on GCs in Asians.These studies identified major recurrent driver mutations and provided new insights into the mutational heterogeneity and genetic profiles of GCs.An analysis of gene expression data by the Asian Cancer Research Group(ACRG) further uncovered four distinct molecular subtypes with well-defined clinical features and their intersections with actionable genetic alterations to which targeted therapeutic agents are either already available or under clinical development.In this article,we review the ACRG GC project.We also discuss the implications of the genetic and molecular findings from various GC genomic studies with respect to developing more precise diagnoses and treatment approaches for GCs.展开更多
Objective To optimize the performance of Pulsed-Field Gel Electrophoresis （PFGE） for the comparison of inter-laboratory results and information exchange of Borrelia burgdorferi subtypingo Methods A panel of 34 strai...Objective To optimize the performance of Pulsed-Field Gel Electrophoresis （PFGE） for the comparison of inter-laboratory results and information exchange of Borrelia burgdorferi subtypingo Methods A panel of 34 strains of B. burgdorferi were used to optimize PFGE for subtyping. In order to optimize the electrophoretic parameters （EPs）, all 34 strains of B. burgdorferi were analyzed using four EPs, yielding different Simpson diversity index （D） values and the epidemiological concordance was also evaluated. Results The EP of a switch time of l s to 25 s for13 h and l s to10 s for 6 h produced the highest D value and was declared to be optimal for Mlul and 5mal PFGE of B. burgdorferi. Mlul and Smal were selected as the first and second restriction enzymes for PFGE subtyping of B. burgdorferi according to discrimination and consistency with epidemiological data. Conclusion PFGE can be used as a valuable test for routine genospecies identification of B burgdorferi.展开更多
Objective To establish and compare the pulsed-field gel electrophoresis （PFGE）, multiple-locus variable number tandem repeat analysis （MLVA） and automated ribotyping for subtyping of Citrobacter strains. Methods P...Objective To establish and compare the pulsed-field gel electrophoresis （PFGE）, multiple-locus variable number tandem repeat analysis （MLVA） and automated ribotyping for subtyping of Citrobacter strains. Methods PFGE protocol was optimized in terms of plug preparation procedure, restriction enzymes and configuration of electrophoretic parameters. MLVA method was evaluated by finding variable number tandem repeats in two genomes of Citrobacter strains. The ribotyping was performed by using the automated RiboPrinter system. Results We optimized the plug preparation procedure, focused on the cell suspension concentration （turbidity of 2.5 to 3.5）, SDS addition （no SDS needed） and lysis time （1 h）, and selected the appropriate restriction enzyme （Xbal） and the electrophoretic parameters （1.0 s-20.0 s for 19 h） of PFGE. There was nearly no discriminatory power of MLVA between Citrobacter strains. For 51 Citrobacter strains, automated ribotyping gave a D-value of 0.9945, while PFGE gave a D-value of 0.9969. Both PFGE and automated ribotyping clustered strains from the same sources （with the same species from the same place at the same time identified as the same source） and divided strains from different sources （from different years, places and hosts） into different subtypes. Conclusion PFGE protocol established in this paper and automated ribotyping are suitable for application in Citrobacter subtyping.展开更多
Objective: Ki-67 plays an important function in cell division, but its exact role is still unknown. Moreover, few works regarding its overall function were published. The present study evaluated the clinical significa...Objective: Ki-67 plays an important function in cell division, but its exact role is still unknown. Moreover, few works regarding its overall function were published. The present study evaluated the clinical significance of Ki-67 index as a prognostic marker and predictor of recurrence in different molecular subtypes of breast cancer. The relationship of Ki-67 index with different clinicopathological factors was also analyzed.Methods: Ki-67 index was measured in 107 cases of primary breast cancer from 2010-2012. These patients were evaluated for estrogen receptor, progesterone receptor, and HER2. Ki-67 was divided according to percentage levels: < 15% and > 15%. Followup ranged from 32 months up to 6 years.Results: Approximately 44, 23, 15, and 25 cases were grouped as luminal A, luminal B, HER2 subtype, and triple-negative(TN),respectively. No luminal A patients showed Ki-67 level higher than 15%, and their recurrence was 20%. In luminal B group, Ki-67 level higher than 15% was observed in 69% of patients, and recurrence was 39%. In HER2 subtype, Ki-67 was higher than 15% in34% of cases, and recurrence was 40%. In triple-negative cases, Ki-67 was higher than 15% in 60% of cases, and recurrence was detected in 32% of patients. Patients with Ki-67 less than 15% displayed better overall survival than those with Ki-67 higher than15%(P = 0.01). Patients with Ki-67 higher than 15% exhibited higher incidence of metastasis and recurrence than those with Ki-67 less than 15%(P = 0.000).Conclusions: Ki-67 may be considered as a valuable biomarker in breast cancer patients.展开更多
A retrospective study was performed to explore the relationship between molecular subtypes and clinicopathological features of breast cancer in Chinese women. Six hundred and twenty-eight Chi- nese women with breast c...A retrospective study was performed to explore the relationship between molecular subtypes and clinicopathological features of breast cancer in Chinese women. Six hundred and twenty-eight Chi- nese women with breast cancer were classified into four molecular subtypes according to their estrogen receptor （ER）, progesterone receptor （PR） and Her-2 status. The prevalence rate of each molecular sub- type was analyzed. Relationship between the subtypes and clinicopathologic features was determined. The distribution of molecular subtypes was as follows： luminal A 46.5%, luminal B 17.0%, basal 21.5%, HER2/neu 15.0%. The subtypes had no significant difference under different menopausal status. How- ever, in the age-specific groups, the age group of〈35 years was more likely to get basal cell-like cancer （36.9%）. Statistically significant differences were found among molecular subtypes by age, nuclear grade, tumor size, lymph node （LN） metastasis, tumor stage by American Joint Committee on Cancer （AJCC）, radiotherapy but not by chemotherapy, types of surgery. After adjusting for several relative confounding factors, the basal subtype more likely had lower nodal involvement in both the incidence of LN metastasis （〉1 positive LN） and incidence of high-volume LN metastasis （〉4 positive LN）. The HER2/neu subtype had higher nodal involvement in the incidence of high-volume LN metastases. After adjusting for relative confounding factors, the HER2/neu subtype more likely had higher AJCC tumor stages. It was suggested that there existed close relationship between molecular subtypes and clinicopa- thological features of breast cancer. In addition, the breast cancer subtypes have been proven to be an independent predictor of LN involvement and AJCC tumor stage. These findings are very important for understanding the occurrence, development, prognosis and treatment of breast cancer in Chinese popu-lation.展开更多
Objective：Menage a trois 1（MAT1）is a targeting subunit of cyclin-dependent kinase-activating kinase and general transcription factor IIH kinase,which modulates cell cycle,transcription and DNA repair.Its dysregulat...Objective：Menage a trois 1（MAT1）is a targeting subunit of cyclin-dependent kinase-activating kinase and general transcription factor IIH kinase,which modulates cell cycle,transcription and DNA repair.Its dysregulation is responsible for diseases including cancers.To further explore the role of MAT1 in breast cancer,we investigated the pathways in which MAT1 might be involved,the association between MAT1 and molecular subtypes,and the role of MAT1 in clinical outcomes of breast cancer patients.Methods：We conducted immunohistochemistry staining on tissue microarray and immunofluorescence staining on sections of MAT1 stable breast cancer cells.Also,we performed Kyoto Encyclopedia of Genes and Genomes pathway analysis,correlation analysis and prognosis analysis on public databases.Results：MAT1 was involved in multiple pathways including normal physiology signaling and disease-related signaling.Furthermore,MAT1 positively correlated with the protein status of estrogen receptor and progesterone receptor,and was enriched in luminal-type and human epidermal growth factor receptor 2-enriched breast cancer in comparison with basal-like subtype at both m RNA and protein levels.Correlation analysis revealed significant association between MAT1 m RNA amount and epithelial markers,mesenchymal markers,cancer stem cell markers,apoptosis markers,transcription markers and oncogenes.Consistently,the results of immunofluorescence stain indicated that MAT1 overexpression enhanced the protein abundance of epidermal growth factor receptor,vimentin,sex determining region Y-box 2 and sine oculis homeobox homolog 1.Importantly,Kaplan-Meier Plotter analysis reflected that MAT1 could serve as a prognostic biomarker predicting worse relapse-free survival and metastasis-free survival.Conclusions：MAT1 is correlated with molecular subtypes and is associated with unfavorable prognosis for breast cancer patients.展开更多
Objective:The aim of the study was to identify specific chemosensitivity drugs for various molecular subtypes of breast tumors in Chinese women,by detecting the expression of drug resistance genes and by using the dru...Objective:The aim of the study was to identify specific chemosensitivity drugs for various molecular subtypes of breast tumors in Chinese women,by detecting the expression of drug resistance genes and by using the drug sensitivity test on different molecular subtypes of breast cancers.Methods:The expression of drug resistance genes including Topo Ⅱ,GST-π,P-gp,LRP,and CD133 were detected with immunohistochemistry in a tissue microarray.Drug sensitivity tests included those for paclitaxel,epirubicin,carboplatin,vinorelbine,and fluorouracil and were conducted on primary cancer tissue cells and cell lines,including the T47 D,BT-474,and MDA-MB-231 cells and human breast cancer xenografts in nude mice.Results:The different drug resistant genes Topo Ⅱ,GST-π,P-gp,and LRP were differentially expressed among different molecular subtypes of breast cancers(P<0.05).Positive expression of CD133 was highest in basal-like breast cancer(P<0.05).Kaplan-Meier survival analysis showed that positive expressions of Topo Ⅱ and CD133 both correlated with shorter disease-free survival(DFS)(P<0.05)and overall survival(P<0.05),and positive expression of LRP correlated only with shorter DFS(P<0.05).BT-474 showed chemosensitivity to paclitaxel and epirubicin,while MDA-MB-231 showed chemosensitivities to paclitaxel,epirubicin,carboplatin,and fluorouracil(T/C≤50%).The basal-like and HER2+breast cancer primary cells showed chemosensitivities to paclitaxel and epirubicin with significant differences compared with luminal breast cancer primary cells(P<0.05).Conclusions:The differential expression of drug resistance genes and the differential chemosensitivities of drugs in different molecular subtype of breast cancers suggested that individual treatment should be given for each type of breast cancer.展开更多
Objective： To make a prognostic effect analysis of molecular subtype on young breast cancer patients.Methods： Totally 187 cases of young breast cancer patients less than 40 years old treated in Obstetrics and Gyneco...Objective： To make a prognostic effect analysis of molecular subtype on young breast cancer patients.Methods： Totally 187 cases of young breast cancer patients less than 40 years old treated in Obstetrics and Gynecology Hospital of Fudan University between June 2005 and June 2011 were included in our study. We described their clinical-pathological characteristics, disease-free survival（DFS） rate, and overall survival（OS） rate after a median follow-up period of 61 months. The factors associated with prognosis were also evaluated by univariate and multivariate analyses.Results： All patients were premenopausal, with an average age of 35.36±3.88 years old. The mean tumor size was 2.43±1.53 cm. Eighty-one cases had lymph node metastasis（43.3%）, 126 cases had lymphovascular invasion（67.4%）, and 125 cases had histological grade III（66.8%） disease. Twenty-seven cases（14.4%） were Luminal A subtype, 99 cases（52.9%） were Luminal B subtype, 29 cases（15.5%） were human epidermal growth factor receptor 2（HER-2） overexpression subtype, while 32 cases（17.1%） were triple negative breast cancer（TNBC） subtype according to 2013 St Gallen expert consensus. One hundred and thirty-five cases underwent mastectomy whereas 52 cases had breast-conserving surgery. One hundred and seventy-eight cases underwent adjuvant or neoadjuvant chemotherapy. Recurrence or metastasis occurred in 29 cases, 13 of which died. The 5-year DFS and OS rates were 84% and 92%. Multivariate analysis showed that nodal status（P=0.041） and molecular subtype（P=0.037） were both independent prognostic factors of DFS, while nodal status（P=0.037） and TNBC subtype（P=0.048） were both independent prognostic factors of OS. Conclusions： Molecular subtype is an independent prognostic factor of young breast cancer patients. TNBC has a high risk of relapse and death.展开更多
基金supported by the grants from the National Natural Science Foundation of China(82273132 to Liu B).
文摘Objective:Bladder cancer(BCa)is a prevalent malignant tumor in the urinary system.Molecular subtyping,utilizing molecular characteristics,represents a novel classification system that has demonstrated its efficacy in tumor diagnosis and treatment.Given the critical role of molecular subtyping in the BCa treatment,acquiring a comprehensive understanding is imperative for guiding treatment decisions,optimizing risk assessment systems,and ultimately improving patient prognosis.Methods:In this review,we provide a comprehensive overview of the research progress in molecular subtyping of BCa,with a primary focus on discussing its utility in guiding various treatment modalities including neoadjuvant chemotherapy,neoadjuvant immunotherapy,and targeted therapy.In addition,this review also covers the trimodality treatment,antibody-drug conjugates,and the treatment of small cell BCa.Results:We present a comprehensive overview of the responsiveness or resistance of different molecular subtypes of BCa to various therapeutic modalities.The basal subtype demonstrates favorable sensitivity to neoadjuvant chemotherapy across multiple classification systems,whereas the luminal infiltrated subtype exhibits potential susceptibility to immunotherapy.In terms of targeted therapy,the basal-like and the basal/squamous subtypes in some classifications have shown notable responsiveness to epidermal growth factor receptor-targeted therapy.Moreover,the luminal subtype in the University of Texas M.D.Anderson Cancer Center classification,the luminal papillary subtypes according to the Cancer Genome Atlas Research Network classification in 2017,and the luminal unstable type in the 2019 Molecular Subtyping classification show potential for the fibroblast growth factor receptor 3-targeted treatment.Conclusion:The significance and impact of BCa molecular subtyping in guiding treatment,evaluating progression,and predicting prognosis are increasingly acknowledged.Accurate subtyping and broad application can bring good benefits to clinical decision-making,risk assessment,and prognostic evaluation.
基金National Natural Science Foundation of China(82173332).
文摘During the process of carcinogenesis and tumor progression,various molecular alternations occur in different omics levels.In recent years,multiomics approaches including genomics,epigenetics,transcriptomics,proteomics,metabolomics,single-cell omics,and spatial omics have been applied in mapping diverse omics profiles of cancers.The development of high-throughput technologies such as sequencing and mass spectrometry has revealed different omics levels of tumor cells or tissues separately.While focusing on a single omics level results in a lack of accuracy,joining multiple omics approaches together undoubtedly benefits accurate molecular subtyping and precision medicine for cancer patients.With the deepening of tumor research in recent years,taking pathological classification as the only criterion of diagnosis and predicting prognosis and treatment response is found to be not accurate enough.Therefore,identifying precise molecular subtypes by exploring the molecular alternations during tumor occurrence and development is of vital importance.The review provides an overview of the advanced technologies and recent progress in multiomics applied in cancer molecular subtyping and detailedly explains the application of multiomics in identifying cancer driver genes and metastasis-related genes,exploring tumor microenvironment,and selecting liquid biopsy biomarkers and potential therapeutic targets.
文摘Pancreatic ductal adenocarcinoma(PDAC)is a global health challenge and remains one of the most lethal malignancies;there are only a few therapeutic options.However,significant efforts have led to the identification of major genetic factors that drive the progression and pathogenesis of PDAC.Notably,the research and application of molecular targeted therapies and immunotherapies have rapidly increased and facilitated great progress in the treatment of many malignant tumors,additional targeted therapies and immunotherapy based on next-generation sequencing results provide new opportunities for the diagnosis and treatment of pancreatic tumors.Immune checkpoint inhibitors are also now being incorporated as PDAC therapies,and combinations of molecularly targeted therapies with immunotherapies are emerging as strategies for boosting the immune response.The investigation of biomarkers of a response or primary resistance to immunotherapies is also an emerging research area.Herein,we further discuss the recent technological advances that continue to expand our understanding of PDAC complexity.We discuss the advancements expected in the near future,including biomarker-driven treatments and immunotherapies.We presume that the clinical translation of these research efforts will improve the survival outcomes of this challenging disease,which are currently dismal.
基金funded by the Deanship of Graduate Studies and Scientific Research at Jouf University under grant No.(DGSSR-2024-02-01137).
文摘Sonic Hedgehog Medulloblastoma(SHH-MB)is one of the four primary molecular subgroups of Medulloblastoma.It is estimated to be responsible for nearly one-third of allMB cases.Using transcriptomic and DNA methylation profiling techniques,new developments in this field determined four molecular subtypes for SHH-MB.SHH-MB subtypes show distinct DNAmethylation patterns that allow their discrimination fromoverlapping subtypes and predict clinical outcomes.Class overlapping occurs when two or more classes share common features,making it difficult to distinguish them as separate.Using the DNA methylation dataset,a novel classification technique is presented to address the issue of overlapping SHH-MBsubtypes.Penalizedmultinomial regression(PMR),Tomek links(TL),and singular value decomposition(SVD)were all smoothly integrated into a single framework.SVD and group lasso improve computational efficiency,address the problem of high-dimensional datasets,and clarify class distinctions by removing redundant or irrelevant features that might lead to class overlap.As a method to eliminate the issues of decision boundary overlap and class imbalance in the classification task,TL enhances dataset balance and increases the clarity of decision boundaries through the elimination of overlapping samples.Using fivefold cross-validation,our proposed method(TL-SVDPMR)achieved a remarkable overall accuracy of almost 95%in the classification of SHH-MB molecular subtypes.The results demonstrate the strong performance of the proposed classification model among the various SHH-MB subtypes given a high average of the area under the curve(AUC)values.Additionally,the statistical significance test indicates that TL-SVDPMR is more accurate than both SVM and random forest algorithms in classifying the overlapping SHH-MB subtypes,highlighting its importance for precision medicine applications.Our findings emphasized the success of combining SVD,TL,and PMRtechniques to improve the classification performance for biomedical applications with many features and overlapping subtypes.
文摘Objectives:Triple-negative breast cancer(TNBC)presents a major treatment challenge due to its aggressive behavior.The dysfunction of the Golgi apparatus(GA)contributes to the development of various cancers.This study aimed to utilize GA-related genes(GARGs)to forecast the prognosis and immune profile of TNBC.Methods:The data were downloaded from The Cancer Genome Atlas(TCGA)database,including 175 TNBC and 99 healthy samples.The differentially expressed GARGs(DEGARGs)were analyzed using the TCGA biolinks package.The patients with TNBC were classified into two clusters utilizing the ConsensusClusterPlus package according to prognosis-related DEGARGs,followed by comparing the differences in prognosis and immune infiltration between the two clusters.Next,LASSO and stepwise Cox regression were applied to establish a GARGs signature to forecast the TNBC prognosis.The association of the GARGs signature with immune infiltrates and drug sensitivity was further explored.Results:In total,430 DEGARGs were identified between TNBC and healthy samples,among which 20 were related to TNBC prognosis.Two GARG-related molecular clusters associated with different survival times and immune heterogeneity were identified.A risk model for TNBC was established based on six GARGs,and the high-risk(HR)group exhibited a poor prognosis.The HR group demonstrated a distinctly high M2 macrophage infiltration and low M1 macrophage infiltration,which contributed to an immunosuppressive tumor microenvironment and thus led to poor prognosis of the HR group.Immune dysfunction scores and programmed cell death ligand 1(PD-L1)expression were substantially elevated in the HR group.The HR group showed increased sensitivity to anticancer drugs,such as cisplatin.Conclusion:Our findings suggest that GARGs are involved in the pathogenesis of TNBC and provide new insights into prognostic prediction.The identified clusters and GARGs signatures have the potential to guide individualized therapy.
基金This work was supported in part by the grant from the National Science and Technology Major Project of China(No.2017ZX10203205)the Science Foundation of Zhejiang province(LQ18H160006).
文摘Hepatocellular carcinoma(HCC)is one of the most prevalent and fatal digestive tumors.Treatment for this disease has been constraint by heterogeneity of this group of tumors,which has greatly limited the progress in personalized therapy.Although existing studies have revealed the genetic and epigenetic blueprints that drive HCCs,many of the molecular mechanisms that lead to HCCs remain elusive.Recent advances in techniques for studying functional genomics,such as genome sequencing and transcriptomic analyses,have led to the discovery of molecular mechanisms that participate in the initiation and evolution of HCC.Integrative multi-omics analyses have identified several molecular subtypes of HCC associated with specific molecular characteristics and clinical outcomes.Deciphering similar molecular features among highly heterogeneous HCC patients is a prerequisite to implementation of personalized therapeutics.This review summarizes the current research progresses in precision therapy on the backbone of molecular subtypes of HCC.
基金supported by the National Natural Science Foundation of China(21890744,22104032)the National Key R&D Program of China(2019YFA0210100)+1 种基金the China Postdoctoral Science Foundation(2020 M672470)the National Postdoctoral Program for Innovative Talents(BX2020118).
文摘Molecular subtyping of cancer can greatly help to understand the development of disease and predict tumor behavior.Exploring detection methods for precise subtyping is appealing to prognosis and personalized therapy.During the past decades,DNA-based biosensors have exhibited great potential in cancer diagnosis due to their structural programmability and functional diversity.Despite the encouraging progress that has been made,there remains an issue in improving the accuracy and sensitivity of cancer subtyping due to the complex process of disease,especially in preclinical or clinical applications.To accelerate the development of DNA sensors in the identification of cancer subtypes,in this review,we summarized their advances in molecular subtyping by analyzing the heterogeneity in categories and levels of biomarkers between cancer subtypes.The strategies toward genomic and proteomic heterogeneity in cells or on the cell surface,as well as the cancer excretions including extracellular vesicles(EVs)and microRNA(miRNAs)in serum,are summarized.Current challenges and the opportunities of DNA-based sensors in this field are also discussed.
基金This work was supported by grants from the National Natural Science Foundation of China(Grant No.82103039)the Program of Shanghai Academic/Technology Research Leader(Grant No.20XD1421100)the Wu Jieping Medical Foundation(Grant No.320.6750.2021-10-64).
文摘Objective:Triple-negative breast cancer(TNBC)is a heterogeneous and aggressive cancer.Although our previous study classified primary TNBC into four subtypes,comprehensive longitudinal investigations are lacking.Methods:We assembled a large-scale,real-world cohort comprised of 880 TNBC patients[465 early-stage TNBC(eTNBC)and 415 metastatic TNBC(mTNBC)patients]who were treated at Fudan University Shanghai Cancer Center.The longitudinal dynamics of TNBC subtypes during disease progression were elucidated in this patient cohort.Comprehensive analysis was performed to compare primary and metastatic lesions within specific TNBC subtypes.Results:The recurrence and metastasis rates within 3 years after initial diagnosis in the eTNBC cohort were 10.1%(47/465).The median overall survival(OS)in the mTNBC cohort was 27.2 months[95%confidence interval(CI),24.4–30.2 months],which indicated a poor prognosis.The prognostic significance of the original molecular subtypes in both eTNBC and mTNBC patients was confirmed.Consistent molecular subtypes were maintained in 77.5%of the patients throughout disease progression with the mesenchymal-like(MES)subtype demonstrating a tendency for subtype transition and brain metastasis.Additionally,a precision treatment strategy based on the metastatic MES subtype of target lesions resulted in improved progression-free survival in the FUTURE trial.Conclusions:Our longitudinal study comprehensively revealed the clinical characteristics and survival of patients with the original TNBC subtypes and validated the consistency of most molecular subtypes throughout disease progression.However,we emphasize the major importance of repeat pathologic confirmation of the MES subtype.
文摘Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy.Methods:Gens related to CD8+T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues.Weighted gene co-expression network analysis(WGCNA),consensus clustering,differential expression analysis,least absolute shrinkage and selection operator(LASSO)and Cox regression analysis were conducted to classify molecular subtypes for LUAD and to develop a risk model using prognostic genes related to CD8+T cells.Expression of the genes in the prognostic model,their effects on tumor cell invasion,and interactions with CD8+T cells were verified by cell experiments.Results:This study defined two LUAD clusters(CD8+0 and CD8+1)based on CD8+T cells,with cluster CD8+0 being significantly associated with the prognosis of LUAD.Three heterogeneous subtypes(clusters 1,2,and 3)differing in prognosis,genome mutation events,and immune status were categorized using 42 prognostic genes.A prognostic model created based on 11 significant genes(including CD200R1,CLEC17A,ZC3H12D,GNG7,SNX30,CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2,and KRT81)was able to independently estimate the death risk for patients in different LUAD cohorts.Moreover,the model also showed general applicability in external validation cohorts.Low-risk patients could benefit more from taking immunotherapy and were significantly related to the resistance to anticancer drugs.The results from cell experiments demonstrated that the expression of CD200R1,CLEC17A,ZC3H12D,GNG7,and SNX30 was significantly downregulated,while that of CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2 and KRT81 was upregulated in LUAD cells.Inhibition of CD200R1 greatly increased the invasiveness of the LUAD cells,but inhibiting CDCP1 expression weakened the invasion ability of LUAD cells.Conclusion:This study defined two prognostic CD8+T cell clusters and classified three heterogeneous molecular subtypes for LUAD.A prognostic model predictive of the potential effects of immunotherapy on LUAD patients was developed.
基金funded by the Capital’s Funds for Health Improve-ment and Research(grant number:2024-1G-4023)the Special Project for Director,China Center for Evidence Based Traditional Chinese Medicine(grant number:2020YJSZX-2)the National Natural Sci-ence Foundation of China(grant number:72074011)。
文摘Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.Materials and methods:PubMed,Web of Science,Embase,Cochrane Library,Scopus,and clinical trials.gov databases were searched from January 2016 to May 2022.The following search terms were used:ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma.Only studies written in English were included.The following pre-specified criteria should be met for inclusion:(i)original articles,conference abstracts,etc.;(ii)patients with breast cancer;(iii)ctDNA measurement;and(iv)clinical outcome data such as recurrence-free survival(RFS)and overall survival(OS).The random-effects model was preferred considering the potential het-erogeneity across studies.The main outcomes are ctDNA detection rate and postoperative long-term outcomes(RFS and OS).Results:A total of 24 studies were screened.At every measurement time,the ctDNA detection rate of the HR+subgroup was similar to that of the HR-subgroup(P=0.075;P=0.458;P=0.744;and P=0.578),and the ctDNA detection rate of the HER2+subgroup was similar to that of the HER2-subgroup(P=0.805;P=0.271;P=0.807;and P=0.703).In the HR+subgroup,RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients(P=0.589 and P=0.110),while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR-subgroup(HR=4.03,P<0.001;HR=3.21,P<0.001).According to HER grouping,the results were the same as above.In the triple negative breast cancer(TNBC)subgroup,the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.Conclusions:ctDNA was more predictive of recurrence-free survival and overall survival in the HR-subgroup than in the HR+subgroup,and the same result was showed in the HER2-subgroup vs.HER2+subgroup.The prognosis of the TNBC subtype is closely related to ctDNA before and after surgery.
基金supported by grants from the National Natural Science Foundation of China(Grant Nos.82172635,82272686,and 82203628)Natural Science Foundation of Tianjin(Grant No.23JCZDJC00200)Tianjin Key Medical Discipline(Specialty)Construction Project(Grant No.TJYXZDXK-010A).
文摘Introduction Small cell lung cancer(SCLC)is a highly aggressive malignancy with limited treatment options.Despite advances in immunotherapy,response rates remain low,and the efficacy of current molecular subtyping1,2 is insufficient to predict therapeutic outcomes3,4.A recently identified vulnerability in SCLC involves the dysregulation of nuclear-cytoplasmic transport,particularly through exportin 1(XPO1)5-7.
基金supported by the Guangzhou Municipal Basic Research Program Jointly Funded by City,University,and Enterprise Special Project(2024A03J0907)the Natural Science Foundation of Guangdong Province(2024A1515013201)+1 种基金the National Natural Science Foundation of China(82203720,82203188,82002682,81972731,81773026,81972383)the Science and Technology Project of Zhongshan Municipality(No.2024B1032).
文摘Background:Bladder cancer prognosis remains suboptimal despite advancements in research.Current molecular subtyping methods are resource-intensive,highlighting the need for efficient,cost-effective approaches to predict BCa molecular subtypes.Method:We developed a predictive model for BCa molecular subtypes using machine learning(ML)and pathomics derived from Hematoxylin-Eosin stained pathological slides.A cohort of 353 patients from TCGA was employed,and image features were extracted for analysis.Pathomic signatures were constructed using the LASSO Cox regression algorithm,and a pathomic-clinical nomogram was developed and validated in training and testing cohorts.Results:Seventy distinct image features were identified from 150 pathomic signatures.The model demonstrated robust predictive ability,with AUCs of 0.833 and 0.822 in the training and validation cohorts,respectively.The addition of pathomic score,N stage,and M stage improved the model’s discrimination,achieving AUCs of 0.877 and 0.794 in the training and validation cohorts.Limitations include the lack of an external validation cohort.Conclusion:Our ML-based pathomics model shows promise in predicting BCa molecular subtypes and has the potential to enhance prognosis prediction and inform treatment strategies,marking a significant step towards precision medicine for BCa.
文摘Gastric cancer(GC) is a highly heterogenic disease,and it is the second leading cause of cancer death in the world.Common chemotherapies are not very effective for GC,which often presents as an advanced or metastatic disease at diagnosis.Treatment options are limited,and the prognosis for advanced GCs is poor.The landscape of genomic alterations in GCs has recently been characterized by several international cancer genome programs,including studies that focused exclusively on GCs in Asians.These studies identified major recurrent driver mutations and provided new insights into the mutational heterogeneity and genetic profiles of GCs.An analysis of gene expression data by the Asian Cancer Research Group(ACRG) further uncovered four distinct molecular subtypes with well-defined clinical features and their intersections with actionable genetic alterations to which targeted therapeutic agents are either already available or under clinical development.In this article,we review the ACRG GC project.We also discuss the implications of the genetic and molecular findings from various GC genomic studies with respect to developing more precise diagnoses and treatment approaches for GCs.
基金supported by the National Natural Science Foundation of China (NSFC)(31100105)the 12th Five-Year Major National Science and Technology Projects of China(No.2012ZX10004219-007)
文摘Objective To optimize the performance of Pulsed-Field Gel Electrophoresis （PFGE） for the comparison of inter-laboratory results and information exchange of Borrelia burgdorferi subtypingo Methods A panel of 34 strains of B. burgdorferi were used to optimize PFGE for subtyping. In order to optimize the electrophoretic parameters （EPs）, all 34 strains of B. burgdorferi were analyzed using four EPs, yielding different Simpson diversity index （D） values and the epidemiological concordance was also evaluated. Results The EP of a switch time of l s to 25 s for13 h and l s to10 s for 6 h produced the highest D value and was declared to be optimal for Mlul and 5mal PFGE of B. burgdorferi. Mlul and Smal were selected as the first and second restriction enzymes for PFGE subtyping of B. burgdorferi according to discrimination and consistency with epidemiological data. Conclusion PFGE can be used as a valuable test for routine genospecies identification of B burgdorferi.
基金supported by the project (grant 2005CB522904 and 2005CB522905) from the Ministry of Scientific Technologythe project (grant 2008ZX10004-001, 2008ZX10004-008, and 2009ZX10004-101) from the Ministry of Scientific Technology and the Ministry of Health of the People’s Republic of China
文摘Objective To establish and compare the pulsed-field gel electrophoresis （PFGE）, multiple-locus variable number tandem repeat analysis （MLVA） and automated ribotyping for subtyping of Citrobacter strains. Methods PFGE protocol was optimized in terms of plug preparation procedure, restriction enzymes and configuration of electrophoretic parameters. MLVA method was evaluated by finding variable number tandem repeats in two genomes of Citrobacter strains. The ribotyping was performed by using the automated RiboPrinter system. Results We optimized the plug preparation procedure, focused on the cell suspension concentration （turbidity of 2.5 to 3.5）, SDS addition （no SDS needed） and lysis time （1 h）, and selected the appropriate restriction enzyme （Xbal） and the electrophoretic parameters （1.0 s-20.0 s for 19 h） of PFGE. There was nearly no discriminatory power of MLVA between Citrobacter strains. For 51 Citrobacter strains, automated ribotyping gave a D-value of 0.9945, while PFGE gave a D-value of 0.9969. Both PFGE and automated ribotyping clustered strains from the same sources （with the same species from the same place at the same time identified as the same source） and divided strains from different sources （from different years, places and hosts） into different subtypes. Conclusion PFGE protocol established in this paper and automated ribotyping are suitable for application in Citrobacter subtyping.
文摘Objective: Ki-67 plays an important function in cell division, but its exact role is still unknown. Moreover, few works regarding its overall function were published. The present study evaluated the clinical significance of Ki-67 index as a prognostic marker and predictor of recurrence in different molecular subtypes of breast cancer. The relationship of Ki-67 index with different clinicopathological factors was also analyzed.Methods: Ki-67 index was measured in 107 cases of primary breast cancer from 2010-2012. These patients were evaluated for estrogen receptor, progesterone receptor, and HER2. Ki-67 was divided according to percentage levels: < 15% and > 15%. Followup ranged from 32 months up to 6 years.Results: Approximately 44, 23, 15, and 25 cases were grouped as luminal A, luminal B, HER2 subtype, and triple-negative(TN),respectively. No luminal A patients showed Ki-67 level higher than 15%, and their recurrence was 20%. In luminal B group, Ki-67 level higher than 15% was observed in 69% of patients, and recurrence was 39%. In HER2 subtype, Ki-67 was higher than 15% in34% of cases, and recurrence was 40%. In triple-negative cases, Ki-67 was higher than 15% in 60% of cases, and recurrence was detected in 32% of patients. Patients with Ki-67 less than 15% displayed better overall survival than those with Ki-67 higher than15%(P = 0.01). Patients with Ki-67 higher than 15% exhibited higher incidence of metastasis and recurrence than those with Ki-67 less than 15%(P = 0.000).Conclusions: Ki-67 may be considered as a valuable biomarker in breast cancer patients.
文摘A retrospective study was performed to explore the relationship between molecular subtypes and clinicopathological features of breast cancer in Chinese women. Six hundred and twenty-eight Chi- nese women with breast cancer were classified into four molecular subtypes according to their estrogen receptor （ER）, progesterone receptor （PR） and Her-2 status. The prevalence rate of each molecular sub- type was analyzed. Relationship between the subtypes and clinicopathologic features was determined. The distribution of molecular subtypes was as follows： luminal A 46.5%, luminal B 17.0%, basal 21.5%, HER2/neu 15.0%. The subtypes had no significant difference under different menopausal status. How- ever, in the age-specific groups, the age group of〈35 years was more likely to get basal cell-like cancer （36.9%）. Statistically significant differences were found among molecular subtypes by age, nuclear grade, tumor size, lymph node （LN） metastasis, tumor stage by American Joint Committee on Cancer （AJCC）, radiotherapy but not by chemotherapy, types of surgery. After adjusting for several relative confounding factors, the basal subtype more likely had lower nodal involvement in both the incidence of LN metastasis （〉1 positive LN） and incidence of high-volume LN metastasis （〉4 positive LN）. The HER2/neu subtype had higher nodal involvement in the incidence of high-volume LN metastases. After adjusting for relative confounding factors, the HER2/neu subtype more likely had higher AJCC tumor stages. It was suggested that there existed close relationship between molecular subtypes and clinicopa- thological features of breast cancer. In addition, the breast cancer subtypes have been proven to be an independent predictor of LN involvement and AJCC tumor stage. These findings are very important for understanding the occurrence, development, prognosis and treatment of breast cancer in Chinese popu-lation.
基金supported by the National Natural Science Foundation of China (Grant No.81572608 and 81172422)the Wuhan Science and Technology Bureau (Grant No.2017060201010170)
文摘Objective：Menage a trois 1（MAT1）is a targeting subunit of cyclin-dependent kinase-activating kinase and general transcription factor IIH kinase,which modulates cell cycle,transcription and DNA repair.Its dysregulation is responsible for diseases including cancers.To further explore the role of MAT1 in breast cancer,we investigated the pathways in which MAT1 might be involved,the association between MAT1 and molecular subtypes,and the role of MAT1 in clinical outcomes of breast cancer patients.Methods：We conducted immunohistochemistry staining on tissue microarray and immunofluorescence staining on sections of MAT1 stable breast cancer cells.Also,we performed Kyoto Encyclopedia of Genes and Genomes pathway analysis,correlation analysis and prognosis analysis on public databases.Results：MAT1 was involved in multiple pathways including normal physiology signaling and disease-related signaling.Furthermore,MAT1 positively correlated with the protein status of estrogen receptor and progesterone receptor,and was enriched in luminal-type and human epidermal growth factor receptor 2-enriched breast cancer in comparison with basal-like subtype at both m RNA and protein levels.Correlation analysis revealed significant association between MAT1 m RNA amount and epithelial markers,mesenchymal markers,cancer stem cell markers,apoptosis markers,transcription markers and oncogenes.Consistently,the results of immunofluorescence stain indicated that MAT1 overexpression enhanced the protein abundance of epidermal growth factor receptor,vimentin,sex determining region Y-box 2 and sine oculis homeobox homolog 1.Importantly,Kaplan-Meier Plotter analysis reflected that MAT1 could serve as a prognostic biomarker predicting worse relapse-free survival and metastasis-free survival.Conclusions：MAT1 is correlated with molecular subtypes and is associated with unfavorable prognosis for breast cancer patients.
基金supported by the National Natural Science Foundation of China(Grant No.81502309)。
文摘Objective:The aim of the study was to identify specific chemosensitivity drugs for various molecular subtypes of breast tumors in Chinese women,by detecting the expression of drug resistance genes and by using the drug sensitivity test on different molecular subtypes of breast cancers.Methods:The expression of drug resistance genes including Topo Ⅱ,GST-π,P-gp,LRP,and CD133 were detected with immunohistochemistry in a tissue microarray.Drug sensitivity tests included those for paclitaxel,epirubicin,carboplatin,vinorelbine,and fluorouracil and were conducted on primary cancer tissue cells and cell lines,including the T47 D,BT-474,and MDA-MB-231 cells and human breast cancer xenografts in nude mice.Results:The different drug resistant genes Topo Ⅱ,GST-π,P-gp,and LRP were differentially expressed among different molecular subtypes of breast cancers(P<0.05).Positive expression of CD133 was highest in basal-like breast cancer(P<0.05).Kaplan-Meier survival analysis showed that positive expressions of Topo Ⅱ and CD133 both correlated with shorter disease-free survival(DFS)(P<0.05)and overall survival(P<0.05),and positive expression of LRP correlated only with shorter DFS(P<0.05).BT-474 showed chemosensitivity to paclitaxel and epirubicin,while MDA-MB-231 showed chemosensitivities to paclitaxel,epirubicin,carboplatin,and fluorouracil(T/C≤50%).The basal-like and HER2+breast cancer primary cells showed chemosensitivities to paclitaxel and epirubicin with significant differences compared with luminal breast cancer primary cells(P<0.05).Conclusions:The differential expression of drug resistance genes and the differential chemosensitivities of drugs in different molecular subtype of breast cancers suggested that individual treatment should be given for each type of breast cancer.
文摘Objective： To make a prognostic effect analysis of molecular subtype on young breast cancer patients.Methods： Totally 187 cases of young breast cancer patients less than 40 years old treated in Obstetrics and Gynecology Hospital of Fudan University between June 2005 and June 2011 were included in our study. We described their clinical-pathological characteristics, disease-free survival（DFS） rate, and overall survival（OS） rate after a median follow-up period of 61 months. The factors associated with prognosis were also evaluated by univariate and multivariate analyses.Results： All patients were premenopausal, with an average age of 35.36±3.88 years old. The mean tumor size was 2.43±1.53 cm. Eighty-one cases had lymph node metastasis（43.3%）, 126 cases had lymphovascular invasion（67.4%）, and 125 cases had histological grade III（66.8%） disease. Twenty-seven cases（14.4%） were Luminal A subtype, 99 cases（52.9%） were Luminal B subtype, 29 cases（15.5%） were human epidermal growth factor receptor 2（HER-2） overexpression subtype, while 32 cases（17.1%） were triple negative breast cancer（TNBC） subtype according to 2013 St Gallen expert consensus. One hundred and thirty-five cases underwent mastectomy whereas 52 cases had breast-conserving surgery. One hundred and seventy-eight cases underwent adjuvant or neoadjuvant chemotherapy. Recurrence or metastasis occurred in 29 cases, 13 of which died. The 5-year DFS and OS rates were 84% and 92%. Multivariate analysis showed that nodal status（P=0.041） and molecular subtype（P=0.037） were both independent prognostic factors of DFS, while nodal status（P=0.037） and TNBC subtype（P=0.048） were both independent prognostic factors of OS. Conclusions： Molecular subtype is an independent prognostic factor of young breast cancer patients. TNBC has a high risk of relapse and death.
