Background:This study aims to identify distinct cellular subtypes within brain tissue using single-cell transcriptomic analysis,focusing on specific biomarkers that differentiate cell types and the effects of traditio...Background:This study aims to identify distinct cellular subtypes within brain tissue using single-cell transcriptomic analysis,focusing on specific biomarkers that differentiate cell types and the effects of traditional and exercise therapy.Methods:Four samples were analyzed:older control(OC),older exercise(OE),younger control(YC),and younger exercise(YE).Single-cell RNA sequencing was used to distinguish cellular subtypes through their biomarker profiles.Data visualization included violin and t-SNE plots to illustrate biomarker expression across cell clusters such as oligodendrocytes,microglia,and astrocytes.Additionally,BV2 cells were exposed to amyloid-beta fragments to simulate Alzheimer’s disease,assessing the impact of exercise-induced cellular responses.Results:Distinct cellular subtypes were identified:oligodendrocytes(MBP,St18),microglia(Dock8),and astrocytes(Aqp4,Gpc5).Sample OE was predominantly oligodendrocytes,while YE had more astrocytes,inhibitory neurons,and Canal-Retzius cells.YC showed a significant presence of Olfm3+ganglion neurons.ZEB1 gene knockout revealed changes in SMAD family gene expression,which regulate ferroptosis.Oxidative stress levels were also evaluated.Conclusion:This profiling enhances our understanding of brain cellular functions and interactions,potentially informing targeted therapies in neurological research.Exercise may influence brain cell immune responses and cell death pathways by regulating specific gene expressions,offering new insights for treating neuroinflammation and degeneration.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
Objective:Circadian rhythm disruption(CRD)is a risk factor that correlates with poor prognosis across multiple tumor types,including hepatocellular carcinoma(HCC).However,its mechanism remains unclear.This study aimed...Objective:Circadian rhythm disruption(CRD)is a risk factor that correlates with poor prognosis across multiple tumor types,including hepatocellular carcinoma(HCC).However,its mechanism remains unclear.This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity.Methods:To quantify CRD,the HCC CRD score(HCCcrds)was developed.Using machine learning algorithms,we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort(n=369),and the robustness of this method was validated.Furthermore,we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes.Results:We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis.The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis,higher pathological grade,and advanced clinical stages,while the CRD-related subtype with low HCCcrds had better clinical outcomes.We also identified novel biomarkers for each subtype,such as nicotinamide nmethyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1.Conclusion:We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers.Within these groups greater HCCcrds was associated with worse prognosis.This approach has the potential to improve prediction of an individual’s prognosis,guide precision treatments,and assist clinical decision making for HCC patients.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
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
[Objective] The study aimed to investigate the genetic variation characters of entire sequences between two H9N2 subtype avian influenza virus strains and other reference strains.[Method] The entire sequences of 8 gen...[Objective] The study aimed to investigate the genetic variation characters of entire sequences between two H9N2 subtype avian influenza virus strains and other reference strains.[Method] The entire sequences of 8 genes were obtained by using RT-PCR,and these sequences were analyzed with that of six H9N2 subtype avian influenza isolates in homology comparison and genetic evolution relation.[Result] The results showed that the nucleotide sequence of entire gene of the strain shared 91.1%-95.4% homology with other seven reference strains,and PG08 shared the highest homology 91.3% with C/BJ/1/94;ZD06 shared the highest homology 92.3% with D/HK/Y280/97.HA cleavage sites of two H9N2 subtype avian influenza virus isolated strains were PARSSR/GLF,typical of mildly pathogenic avian influenza virus.[Conclusion] Phylogenetic tree for entire gene of eight strains showed that the genetic relationship was the closest between ZD06 and C/Pak/2/99 strains,which belonged to the Eurasian lineage;PG08 shared the highest homology 91.3% with ZD06,it may be the product of gene rearrangements of other sub-lines.展开更多
In order to compare the potential selectivity of R-（-）-DM-phencynonate hydrochloride with its racemate （±）-DM- phencynonate hydrochloride on acetylcholine muscarinic receptor subtypes, the five human acetylch...In order to compare the potential selectivity of R-（-）-DM-phencynonate hydrochloride with its racemate （±）-DM- phencynonate hydrochloride on acetylcholine muscarinic receptor subtypes, the five human acetylcholine muscarinic receptor subtypes （M1- M5） （CHO-hml-5R） were cloned and expressed in Chinese hamster ovary （CHO-K1） cell line. The specific mRNAs of the five acetylcholine muscarinic receptor subtypes were detected by the reverse transcription-polymerase chain reaction （RT-PCR） method, demonstrating the definite expression of muscarinic receptor subtype genes （CHO-hml-5R）. The affinity and saturability of different muscarinic receptor subtypes to [^3H] N-methylscopolamine （[^3H]-NMS） were obtained by radioligand binding assay. Equilibrium binding assay revealed that the maximum binding capacity of [^3H]-NMS （Bmax value） to CHO-hml-5R were 40.22±3.23, 24.53±4.11, 29.65±2.65, 25.41±2.46, 32.78±4.81 pmol/mg·protein, respectively. Kd values of [^3H]-NMS to muscarinic receptors M1 to M5 were 0.97±0.22, 1.16±0.14, 0.99±0.06, 0.56±0.08, 1.12±0.06 nM, respectively. R-（-）-DM- phencynonate hydrochloride was found to block the M4 receptor with a much higher potency （pD2 = 7.48） than those displayed on M1 （pD2 = 6.20）, M2 （pD2 = 5.99）, M3 （pD2 = 5.99） and M5 （pD2 = 6.70） subtypes. However, for （±）-DM-phencynonate hydrochloride, no significant subtype receptor selectivity was found. Both （±）-DM- and R-（-）-DM-phencynonate hydrochloride showed allosteric effects on muscarinic receptors, the Hill coefficient （nH） of five receptor subtypes was less than 1, respectively. The results revealed that R-（-）-DM-phencynonate hydrochloride showed selectivity torwards M4 subtype, and there were allosteric effects for both R-（-）-DM-phencynonate hydrochloride and （±）-DM-phencynonate hydrochloride on muscarinic receptors.展开更多
[ Objective] The study aimed to lay a foundation for the further studies on function mechanism of NS1 protein in the interspecies transmission of waterfowl influenza virus. [Method] Using the serologic assay and the s...[ Objective] The study aimed to lay a foundation for the further studies on function mechanism of NS1 protein in the interspecies transmission of waterfowl influenza virus. [Method] Using the serologic assay and the specific RT-PCR method, some strains of H9 subtype waterfowl influenza virus were isolated from the 12 to 20 day-old muscovy duck flocks without any clinical symptoms in different areas of Guangdong Province. Four of these strains, including A/duck/ZQ/303/2007（H9N2） （A3 for short）, A/Duck/FJ/301/2007 （H9N2） （C1 for short）, A/Duck/NH/306/2007（H9N2） （ D6 for short）, A/duck/SS/402/2007（H9N2） （ E2 for short）, and a strain named A/duck/ZC/2007（H9N2） （L1 for short） from a muscovy duck died of avian influenza virus （AIV）, were used for NSl gene cloning and sequencing. Subsequently, the obtained NSl gene sequences were compared with other NS1 sequences registered in GenBank, and the phylogenetic analysis was also conducted. [Result] When compared with the H9N2 AIV NS1 sequences in GenBank, the NSl genes of the four AIV strains A3, C1, 136 and E2 displayed homologies ranging from 99% to 100% at nucleotide level, and 95% to 100% at amino acid level; while the NSl gene of L1 strain displayed homology ranging from 94% to 97% at nucleotide level, and 93% to 98% at amino acid level. The phylogenetic tree demonstrated that A3, C1, D6 and E2 were highly resemblant, and L1 was closest to AY66473 （chicken, 2003）. By comparison with the NS1 gene sequences of L1, AF523514 （duck）, AY664743 （chicken） and EF155262.1 （quail） using DNAstar, A3, C1, D6 and E.2 presented nucleotide variations at site 21 （ R→Q）, 70, 71 （ KE→EG）, 86 （ A→S）, 124 （V→M） and 225 （ S→N）, and amino acid variations at site 21,70, 71 and 86 in dsRNA- dependent protein kinase （PKR） binding domain of NSl gene, which induced the evident variations of antigenic determinant and surface proba- bility plot of NS1 protein. [ Conclusion] This study suggested that the amino acid sequence variation in PKR binding domain of NS1 protein had something to do with the virus pathogenicity.展开更多
Background: Stage at diagnosis and molecular subtype are important clinical factors associated with breast cancer patient survival. However, subgroup survival data from a large study sample are limited in China.To est...Background: Stage at diagnosis and molecular subtype are important clinical factors associated with breast cancer patient survival. However, subgroup survival data from a large study sample are limited in China.To estimate the survival differences among patients with different stages and various subtypes of breast cancer, we conducted a hospital-based multi-center study on breast cancer in Beijing, China.Methods: All resident patients diagnosed with primary, invasive breast cancer between January 1,2006 and December 31,2010 from four selected hospitals in Beijing were included and followed up until December 31,2015. Hospitalbased data of stage at diagnosis, hormone receptor status, and selected clinical characteristics, including body mass index(BMI), menopausal status, histological grade, and histological type, were collected from the medical records of the study subjects. Overall survival(OS) and cancer-specific survival(CSS) were estimated. Cox proportional hazards models were employed to evaluate the associations of stage at diagnosis and molecular subtype with patient survival.Results: The 5-year OS and CSS rates for all patients were 89.4% and 90.3%. Survival varied by stage and molecular subtype. The 5-year OS rates for patients with stage I, Ⅱ, Ⅲ, and IV diseases were 96.5%, 91.6%, 74.8%, and 40.7%,respectively, and the corresponding estimates of 5-year CSS rates were 97.1%, 92.6%, 75.6%, and 42.7%, respectively.The 5-year OS rates for patients with luminal A, luminal B, HER2, and triple-negative subtypes of breast cancer were92.6%, 88.4%, 83.6%, and 82.9%, respectively, and the corresponding estimates of 5-year CSS rates were 93.2%, 89.1 %,85.4%, and 83.5%, respectively. Multivariate analysis showed that stage at diagnosis and molecular subtype were important prognostic factors for breast cancer.Conclusions: Survival of breast cancer patients varied significantly by stage and molecular subtype. Cancer screening is encouraged for the early detection and early diagnosis of breast cancer. More advanced therapies and health care policies are needed on HER2 and triple-negative subtypes.展开更多
It is unanimously accepted that stroke is a highly heterogeneous disorder. Different subtypes of ischemic stroke may have different risk factors, clinical features, and prognoses. The aim of this study was to evaluate...It is unanimously accepted that stroke is a highly heterogeneous disorder. Different subtypes of ischemic stroke may have different risk factors, clinical features, and prognoses. The aim of this study was to evaluate the risk factors, clinical characteristics, and prognoses of different subtypes of ischemic stroke defined by the Trial of ORG10172 in Acute Stroke Treatment （TOAST） criteria. We prospectively analyzed the data from 530 consecutive patients who were admitted to our hospital with acute ischemic stroke within 7 days of stroke onset during the study period. Standardized data assessment was used and the cause of ischemic stroke was classified according to the TOAST criteria. Patients were followed up till 30 and 90 days after stroke onset. It was found that large-artery atherosclerosis was the most frequent etiology of stroke （37.4%）, and showed the highest male preponderance, the highest prevalence of previous transient ischemic attack, and the longest hospital stay among all subtypes. Small artery disease （36.4%） was associated with higher body mass index, higher plasma triglycerides, and lower plasma high-density lipoprotein cholesterol than cardioembolism. Cardioembolism （7.7%）, which was particularly common in the elderly （i.e., individuals aged 65 years and older）, showed the highest female preponderance, the highest prevalence of atrial fibrillation, the earliest presentation to hospital after stroke onset, the most severe symptoms on admission, the maximum complications associated with an adverse outcome, and the highest rate of stroke recurrence and mortality. Our results suggest that ischemic stroke should be regarded as a highly heterogeneous disorder. Studies involving risk factors, clinical features, and prognoses of ischemic stroke should differentiate between etiologic stroke subtypes.展开更多
Breast cancer is a heterogeneous complex of diseases, a spectrum of many subtypes with distinct biological features that lead to differences in response patterns to various treatment modalities and clinical outcomes. ...Breast cancer is a heterogeneous complex of diseases, a spectrum of many subtypes with distinct biological features that lead to differences in response patterns to various treatment modalities and clinical outcomes. Traditional classification systems regarding biological characteristics may have limitations for patient-tailored treatment strategies. Tumors with similar clinical and pathological presentations may have different behaviors. Analyses of breast cancer with new molecular techniques now hold promise for the development of more accurate tests for the prediction of recurrence. Gene signatures have been developed as predictors of response to therapy and protein gene products that have direct roles in driving the biology and clinical behavior of cancer cells are potential targets for the development of novel therapeutics. The present review summarizes current knowledge in breast cancer molecular biology, focusing on novel prognostic and predictive factors.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 investigate the associations between the different breast cancer subtypes and survival in Chinese women with operable primary breast cancer. Methods： A total of 1538 Chinese women with operable primary...Objective： To investigate the associations between the different breast cancer subtypes and survival in Chinese women with operable primary breast cancer. Methods： A total of 1538 Chinese women with operable primary breast cancer were analyzed in this study, the median follow-up was 77 months. Estrogen receptor （ER）, progesterone receptor （PR）, and HER2 status were available for these patients. Results： Luminal A （ER＋ and/or PR＋, HER2-） had a favorable disease-free survival （DFS） and overall survival （OS） compared with other subtypes in the entire cohort. Using the luminal A as a reference, among the patients with lymph node positive disease, HER2＋ （ER-, PR-, HER2＋） had the worst DFS （hazard ratio, HR=1.80, 95% CI 1.11 to 2.91, P=0.017） and luminal B （ER＋ and/or PR＋, HER2＋） had the worst OS （HR=2.27, 95% CI 1.50 to 3.45, P0.001）; among the patients with lymph node negative disease, triple-negative （ER-, PR-, HER2-） had the worst DFS （HR=2.21, 95% CI 1.43 to 3.41, P0.001）, whereas no significant difference in DFS between HER2＋ and luminal B or luminal A was observed. Conclusion： As compared with luminal A, luminal B and HER2＋ have the worst survival in patients with lymph node positive disease, but this is not the case in patients with lymph node negative disease; triple-negative subtype has a worse survival in both lymph node positive and lymph node negative patients.展开更多
[Objective] The aim is to develop the piezoelectric immunosensor to detect H9-subtype avian influenza virus（AIV）.[Method] The immunosensor chip was constructed by self-assembling mercaptopmpionic acid（MPA） to be m...[Objective] The aim is to develop the piezoelectric immunosensor to detect H9-subtype avian influenza virus（AIV）.[Method] The immunosensor chip was constructed by self-assembling mercaptopmpionic acid（MPA） to be monolayer on the silver-coated electrode of quartz crystal and coupling the monoclonal antibody to H9 subtype AIV with N-ethy-N＇-（3-dimethyl aminopropyl）carbodiimide hydrochloride（EDC） and N-hydroxysuccinimide（NHS）.The immunosensor to detect H9 subtype AIV was established.[Result] The results showed that the immunosensor displayed better specificity to H9 AIV and had no response to H5AIV and NDV when it was used for detection.The sensitivity test indicated the detection sensitivity for the H9 subtype AIV could reach 20-100 EID50.[Conclusion] The research provided a foundation for further research on the immunosensor for detecting AIV and it could be a new approach to detect other related viruses.展开更多
Objective Tick-borne encephalitis virus(TBEV) is an emerging pathogen in Europe and North Asia that causes tick-borne encephalitis(TBE). A simple, rapid method for detecting TBEV RNA is needed to control this disease....Objective Tick-borne encephalitis virus(TBEV) is an emerging pathogen in Europe and North Asia that causes tick-borne encephalitis(TBE). A simple, rapid method for detecting TBEV RNA is needed to control this disease. Methods A reverse-transcription recombinase-aided amplification(RT-RAA) assay was developed. This assay can be completed in one closed tube at 39℃ within 30 minutes. The sensitivity and specificity of RT-RAA were validated using non-infectious synthetic RNA representing a fragment of the NS5 region of the wild-type(WT) TBEV genome and the Senzhang strain. Additionally, 10 batches of tick samples were used to evaluate the performance of the RT-RAA assay. Results The analytical limit of detection of the assay was 20 copies per reaction of the TBEV synthetic transcript and 3 plaque-forming units(pfu) per reaction of TBEV titers. With the specific assay, no signal due to other arboviruses was observed. Of the 10 batches of tick samples obtained from the Changbai Mountains of China, three were TBEV-positive, which was consistent with the results of the quantitative real-time PCR assay. Conclusion A rapid, highly sensitive, specific, and easy-to-use method was developed for the detection of the TBEV Far-Eastern subtype.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
AIM To detect human papilloma virus(HPV) presence and to characterize cellular immune response in breast cancer patients. METHODS A total of 74 women were included, of which 48 samples were from patients diagnosed wit...AIM To detect human papilloma virus(HPV) presence and to characterize cellular immune response in breast cancer patients. METHODS A total of 74 women were included, of which 48 samples were from patients diagnosed with breast cancer and 26 patients with benign pathology of the breast. Molecular subtype classification was performed based on the immunohistochemical reports of the tumor piece. HPV genome detection and genotyping from fresh breast biopsies was performed using the INNO-LIPA HPV Genotyping Extra test(Innogenetics, Ghent, Belgium). CD3+, CD4+, CD8+ and natural killer(NK)+ cells levels from peripheral blood samples from patients with breast cancer and benign pathology were measured by flow cytometry. RESULTS Luminal A was the most frequent breast cancer molecular subtype(33.33%). HPV was detected in 25% of the breast cancer patients, and genotype 18 was the most frequent in the studied population. The mean of CD3+, CD4+ and CD8+ subpopulations were decreased in patients with breast cancer, in relation to those with benign pathology, with a statistically significant difference in CD8+ values(P = 0.048). The mean of NK+ cells was increased in the benign pathology group. The average level of CD3+, CD4+, CD8+ and NK+ cells decreased as the disease progressed. HER2+ and Luminal B HER2+ tumors had the lowest counts of cell subsets. HPV breast cancer patients had elevated counts of cellular subsets. CONCLUSION Determining level changes in cellular subsets in breast cancer patients is a useful tool to evaluate treatment response.展开更多
We have developed a rapid microarray-based assay for the reliable detection of H5, H7 and H9 subtypes of avian influenza virus （AIV）. The strains used in the experiment were A/Goose/Guangdong/1/96 （H5N1）, A/Africa...We have developed a rapid microarray-based assay for the reliable detection of H5, H7 and H9 subtypes of avian influenza virus （AIV）. The strains used in the experiment were A/Goose/Guangdong/1/96 （H5N1）, A/African starling/983/79 （H7N1） and A/Turkey/Wiscosin/1/66 （H9N2）. The capture DNAs clones which encoding approximate 500-bp avian influenza virus gene fragments obtained by RT-PCR, were spotted on a slide-bound microarray. Cy5-labeled fluorescent cDNAs, which generated from virus RNA during reverse transcription were hybridized to these capture DNAs. These capture DNAs contained multiple fragments of the hemagglutinin and matrix protein genes of AIV respectively, for subtyping and typing AIV. The arrays were scanned to determine the probe binding sites. The hybridization pattern agreed approximately with the known grid location of each target. The results show that DNA microarray technology provides a useful diagnostic method for AIV.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
文摘Background:This study aims to identify distinct cellular subtypes within brain tissue using single-cell transcriptomic analysis,focusing on specific biomarkers that differentiate cell types and the effects of traditional and exercise therapy.Methods:Four samples were analyzed:older control(OC),older exercise(OE),younger control(YC),and younger exercise(YE).Single-cell RNA sequencing was used to distinguish cellular subtypes through their biomarker profiles.Data visualization included violin and t-SNE plots to illustrate biomarker expression across cell clusters such as oligodendrocytes,microglia,and astrocytes.Additionally,BV2 cells were exposed to amyloid-beta fragments to simulate Alzheimer’s disease,assessing the impact of exercise-induced cellular responses.Results:Distinct cellular subtypes were identified:oligodendrocytes(MBP,St18),microglia(Dock8),and astrocytes(Aqp4,Gpc5).Sample OE was predominantly oligodendrocytes,while YE had more astrocytes,inhibitory neurons,and Canal-Retzius cells.YC showed a significant presence of Olfm3+ganglion neurons.ZEB1 gene knockout revealed changes in SMAD family gene expression,which regulate ferroptosis.Oxidative stress levels were also evaluated.Conclusion:This profiling enhances our understanding of brain cellular functions and interactions,potentially informing targeted therapies in neurological research.Exercise may influence brain cell immune responses and cell death pathways by regulating specific gene expressions,offering new insights for treating neuroinflammation and degeneration.
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.
基金supported by Tianjian advanced biomedical laboratory key research and development projectHenan Province Natural Science Foundation(grant number:242300421283)+1 种基金Henan Province Science and Technology Research and Development(grant number:242102311176)Henan Province medical science and technology research project(grant number:SBGJ202403038)。
文摘Objective:Circadian rhythm disruption(CRD)is a risk factor that correlates with poor prognosis across multiple tumor types,including hepatocellular carcinoma(HCC).However,its mechanism remains unclear.This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity.Methods:To quantify CRD,the HCC CRD score(HCCcrds)was developed.Using machine learning algorithms,we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort(n=369),and the robustness of this method was validated.Furthermore,we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes.Results:We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis.The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis,higher pathological grade,and advanced clinical stages,while the CRD-related subtype with low HCCcrds had better clinical outcomes.We also identified novel biomarkers for each subtype,such as nicotinamide nmethyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1.Conclusion:We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers.Within these groups greater HCCcrds was associated with worse prognosis.This approach has the potential to improve prediction of an individual’s prognosis,guide precision treatments,and assist clinical decision making for HCC patients.
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.
基金Supported by a Sub-project of 973 Program of China(2005CB523001)~~
文摘[Objective] The study aimed to investigate the genetic variation characters of entire sequences between two H9N2 subtype avian influenza virus strains and other reference strains.[Method] The entire sequences of 8 genes were obtained by using RT-PCR,and these sequences were analyzed with that of six H9N2 subtype avian influenza isolates in homology comparison and genetic evolution relation.[Result] The results showed that the nucleotide sequence of entire gene of the strain shared 91.1%-95.4% homology with other seven reference strains,and PG08 shared the highest homology 91.3% with C/BJ/1/94;ZD06 shared the highest homology 92.3% with D/HK/Y280/97.HA cleavage sites of two H9N2 subtype avian influenza virus isolated strains were PARSSR/GLF,typical of mildly pathogenic avian influenza virus.[Conclusion] Phylogenetic tree for entire gene of eight strains showed that the genetic relationship was the closest between ZD06 and C/Pak/2/99 strains,which belonged to the Eurasian lineage;PG08 shared the highest homology 91.3% with ZD06,it may be the product of gene rearrangements of other sub-lines.
基金National Natural Science Foundation of China (Grant No. 30672445)
文摘In order to compare the potential selectivity of R-（-）-DM-phencynonate hydrochloride with its racemate （±）-DM- phencynonate hydrochloride on acetylcholine muscarinic receptor subtypes, the five human acetylcholine muscarinic receptor subtypes （M1- M5） （CHO-hml-5R） were cloned and expressed in Chinese hamster ovary （CHO-K1） cell line. The specific mRNAs of the five acetylcholine muscarinic receptor subtypes were detected by the reverse transcription-polymerase chain reaction （RT-PCR） method, demonstrating the definite expression of muscarinic receptor subtype genes （CHO-hml-5R）. The affinity and saturability of different muscarinic receptor subtypes to [^3H] N-methylscopolamine （[^3H]-NMS） were obtained by radioligand binding assay. Equilibrium binding assay revealed that the maximum binding capacity of [^3H]-NMS （Bmax value） to CHO-hml-5R were 40.22±3.23, 24.53±4.11, 29.65±2.65, 25.41±2.46, 32.78±4.81 pmol/mg·protein, respectively. Kd values of [^3H]-NMS to muscarinic receptors M1 to M5 were 0.97±0.22, 1.16±0.14, 0.99±0.06, 0.56±0.08, 1.12±0.06 nM, respectively. R-（-）-DM- phencynonate hydrochloride was found to block the M4 receptor with a much higher potency （pD2 = 7.48） than those displayed on M1 （pD2 = 6.20）, M2 （pD2 = 5.99）, M3 （pD2 = 5.99） and M5 （pD2 = 6.70） subtypes. However, for （±）-DM-phencynonate hydrochloride, no significant subtype receptor selectivity was found. Both （±）-DM- and R-（-）-DM-phencynonate hydrochloride showed allosteric effects on muscarinic receptors, the Hill coefficient （nH） of five receptor subtypes was less than 1, respectively. The results revealed that R-（-）-DM-phencynonate hydrochloride showed selectivity torwards M4 subtype, and there were allosteric effects for both R-（-）-DM-phencynonate hydrochloride and （±）-DM-phencynonate hydrochloride on muscarinic receptors.
基金Supported by Key Specific Program for Science and Technology of Guangdong Province (2008B020700003 A2007A020400006)~~
文摘[ Objective] The study aimed to lay a foundation for the further studies on function mechanism of NS1 protein in the interspecies transmission of waterfowl influenza virus. [Method] Using the serologic assay and the specific RT-PCR method, some strains of H9 subtype waterfowl influenza virus were isolated from the 12 to 20 day-old muscovy duck flocks without any clinical symptoms in different areas of Guangdong Province. Four of these strains, including A/duck/ZQ/303/2007（H9N2） （A3 for short）, A/Duck/FJ/301/2007 （H9N2） （C1 for short）, A/Duck/NH/306/2007（H9N2） （ D6 for short）, A/duck/SS/402/2007（H9N2） （ E2 for short）, and a strain named A/duck/ZC/2007（H9N2） （L1 for short） from a muscovy duck died of avian influenza virus （AIV）, were used for NSl gene cloning and sequencing. Subsequently, the obtained NSl gene sequences were compared with other NS1 sequences registered in GenBank, and the phylogenetic analysis was also conducted. [Result] When compared with the H9N2 AIV NS1 sequences in GenBank, the NSl genes of the four AIV strains A3, C1, 136 and E2 displayed homologies ranging from 99% to 100% at nucleotide level, and 95% to 100% at amino acid level; while the NSl gene of L1 strain displayed homology ranging from 94% to 97% at nucleotide level, and 93% to 98% at amino acid level. The phylogenetic tree demonstrated that A3, C1, D6 and E2 were highly resemblant, and L1 was closest to AY66473 （chicken, 2003）. By comparison with the NS1 gene sequences of L1, AF523514 （duck）, AY664743 （chicken） and EF155262.1 （quail） using DNAstar, A3, C1, D6 and E.2 presented nucleotide variations at site 21 （ R→Q）, 70, 71 （ KE→EG）, 86 （ A→S）, 124 （V→M） and 225 （ S→N）, and amino acid variations at site 21,70, 71 and 86 in dsRNA- dependent protein kinase （PKR） binding domain of NSl gene, which induced the evident variations of antigenic determinant and surface proba- bility plot of NS1 protein. [ Conclusion] This study suggested that the amino acid sequence variation in PKR binding domain of NS1 protein had something to do with the virus pathogenicity.
基金supported by the Beijing Natural Science Foundation (No. 7142139)the CAMS Innovation Fund for Medical Sciences (CIFMS) (No. 2016-12M-2-004)+1 种基金the PUMC Youth Fund/Fundamental Research Funds for the Central Universities (No. 3332016033)the National Key Research Program of China (No. 2016YFC1302502)
文摘Background: Stage at diagnosis and molecular subtype are important clinical factors associated with breast cancer patient survival. However, subgroup survival data from a large study sample are limited in China.To estimate the survival differences among patients with different stages and various subtypes of breast cancer, we conducted a hospital-based multi-center study on breast cancer in Beijing, China.Methods: All resident patients diagnosed with primary, invasive breast cancer between January 1,2006 and December 31,2010 from four selected hospitals in Beijing were included and followed up until December 31,2015. Hospitalbased data of stage at diagnosis, hormone receptor status, and selected clinical characteristics, including body mass index(BMI), menopausal status, histological grade, and histological type, were collected from the medical records of the study subjects. Overall survival(OS) and cancer-specific survival(CSS) were estimated. Cox proportional hazards models were employed to evaluate the associations of stage at diagnosis and molecular subtype with patient survival.Results: The 5-year OS and CSS rates for all patients were 89.4% and 90.3%. Survival varied by stage and molecular subtype. The 5-year OS rates for patients with stage I, Ⅱ, Ⅲ, and IV diseases were 96.5%, 91.6%, 74.8%, and 40.7%,respectively, and the corresponding estimates of 5-year CSS rates were 97.1%, 92.6%, 75.6%, and 42.7%, respectively.The 5-year OS rates for patients with luminal A, luminal B, HER2, and triple-negative subtypes of breast cancer were92.6%, 88.4%, 83.6%, and 82.9%, respectively, and the corresponding estimates of 5-year CSS rates were 93.2%, 89.1 %,85.4%, and 83.5%, respectively. Multivariate analysis showed that stage at diagnosis and molecular subtype were important prognostic factors for breast cancer.Conclusions: Survival of breast cancer patients varied significantly by stage and molecular subtype. Cancer screening is encouraged for the early detection and early diagnosis of breast cancer. More advanced therapies and health care policies are needed on HER2 and triple-negative subtypes.
文摘It is unanimously accepted that stroke is a highly heterogeneous disorder. Different subtypes of ischemic stroke may have different risk factors, clinical features, and prognoses. The aim of this study was to evaluate the risk factors, clinical characteristics, and prognoses of different subtypes of ischemic stroke defined by the Trial of ORG10172 in Acute Stroke Treatment （TOAST） criteria. We prospectively analyzed the data from 530 consecutive patients who were admitted to our hospital with acute ischemic stroke within 7 days of stroke onset during the study period. Standardized data assessment was used and the cause of ischemic stroke was classified according to the TOAST criteria. Patients were followed up till 30 and 90 days after stroke onset. It was found that large-artery atherosclerosis was the most frequent etiology of stroke （37.4%）, and showed the highest male preponderance, the highest prevalence of previous transient ischemic attack, and the longest hospital stay among all subtypes. Small artery disease （36.4%） was associated with higher body mass index, higher plasma triglycerides, and lower plasma high-density lipoprotein cholesterol than cardioembolism. Cardioembolism （7.7%）, which was particularly common in the elderly （i.e., individuals aged 65 years and older）, showed the highest female preponderance, the highest prevalence of atrial fibrillation, the earliest presentation to hospital after stroke onset, the most severe symptoms on admission, the maximum complications associated with an adverse outcome, and the highest rate of stroke recurrence and mortality. Our results suggest that ischemic stroke should be regarded as a highly heterogeneous disorder. Studies involving risk factors, clinical features, and prognoses of ischemic stroke should differentiate between etiologic stroke subtypes.
文摘Breast cancer is a heterogeneous complex of diseases, a spectrum of many subtypes with distinct biological features that lead to differences in response patterns to various treatment modalities and clinical outcomes. Traditional classification systems regarding biological characteristics may have limitations for patient-tailored treatment strategies. Tumors with similar clinical and pathological presentations may have different behaviors. Analyses of breast cancer with new molecular techniques now hold promise for the development of more accurate tests for the prediction of recurrence. Gene signatures have been developed as predictors of response to therapy and protein gene products that have direct roles in driving the biology and clinical behavior of cancer cells are potential targets for the development of novel therapeutics. The present review summarizes current knowledge in breast cancer molecular biology, focusing on novel prognostic and predictive factors.
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 grants from the Program fro Breast Cancer Tissue Bank of Beijingthe National Natural Science Foundation of China (No.30973436)
文摘Objective： To investigate the associations between the different breast cancer subtypes and survival in Chinese women with operable primary breast cancer. Methods： A total of 1538 Chinese women with operable primary breast cancer were analyzed in this study, the median follow-up was 77 months. Estrogen receptor （ER）, progesterone receptor （PR）, and HER2 status were available for these patients. Results： Luminal A （ER＋ and/or PR＋, HER2-） had a favorable disease-free survival （DFS） and overall survival （OS） compared with other subtypes in the entire cohort. Using the luminal A as a reference, among the patients with lymph node positive disease, HER2＋ （ER-, PR-, HER2＋） had the worst DFS （hazard ratio, HR=1.80, 95% CI 1.11 to 2.91, P=0.017） and luminal B （ER＋ and/or PR＋, HER2＋） had the worst OS （HR=2.27, 95% CI 1.50 to 3.45, P0.001）; among the patients with lymph node negative disease, triple-negative （ER-, PR-, HER2-） had the worst DFS （HR=2.21, 95% CI 1.43 to 3.41, P0.001）, whereas no significant difference in DFS between HER2＋ and luminal B or luminal A was observed. Conclusion： As compared with luminal A, luminal B and HER2＋ have the worst survival in patients with lymph node positive disease, but this is not the case in patients with lymph node negative disease; triple-negative subtype has a worse survival in both lymph node positive and lymph node negative patients.
基金Supported by the Supporting Program of the"Eleventh Five-year Plan"for Sci&Tech Research of China(2006BAK20A29)Strategical Project for Science and Technology of Guangdong Province(2004A2090102)~~
文摘[Objective] The aim is to develop the piezoelectric immunosensor to detect H9-subtype avian influenza virus（AIV）.[Method] The immunosensor chip was constructed by self-assembling mercaptopmpionic acid（MPA） to be monolayer on the silver-coated electrode of quartz crystal and coupling the monoclonal antibody to H9 subtype AIV with N-ethy-N＇-（3-dimethyl aminopropyl）carbodiimide hydrochloride（EDC） and N-hydroxysuccinimide（NHS）.The immunosensor to detect H9 subtype AIV was established.[Result] The results showed that the immunosensor displayed better specificity to H9 AIV and had no response to H5AIV and NDV when it was used for detection.The sensitivity test indicated the detection sensitivity for the H9 subtype AIV could reach 20-100 EID50.[Conclusion] The research provided a foundation for further research on the immunosensor for detecting AIV and it could be a new approach to detect other related viruses.
基金supported by the National key research and development project [2017YFC1200505]the National Science and Technology Major Project of China [2018ZX10711001,2018ZX10101-002]the Development Grant of State Key Laboratory of Infectious Disease Prevention and Control [2015SKLID505,2014SKLID103]
文摘Objective Tick-borne encephalitis virus(TBEV) is an emerging pathogen in Europe and North Asia that causes tick-borne encephalitis(TBE). A simple, rapid method for detecting TBEV RNA is needed to control this disease. Methods A reverse-transcription recombinase-aided amplification(RT-RAA) assay was developed. This assay can be completed in one closed tube at 39℃ within 30 minutes. The sensitivity and specificity of RT-RAA were validated using non-infectious synthetic RNA representing a fragment of the NS5 region of the wild-type(WT) TBEV genome and the Senzhang strain. Additionally, 10 batches of tick samples were used to evaluate the performance of the RT-RAA assay. Results The analytical limit of detection of the assay was 20 copies per reaction of the TBEV synthetic transcript and 3 plaque-forming units(pfu) per reaction of TBEV titers. With the specific assay, no signal due to other arboviruses was observed. Of the 10 batches of tick samples obtained from the Changbai Mountains of China, three were TBEV-positive, which was consistent with the results of the quantitative real-time PCR assay. Conclusion A rapid, highly sensitive, specific, and easy-to-use method was developed for the detection of the TBEV Far-Eastern subtype.
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 FONACIT Project,No.G2005000408PEII Project,No.2012001201
文摘AIM To detect human papilloma virus(HPV) presence and to characterize cellular immune response in breast cancer patients. METHODS A total of 74 women were included, of which 48 samples were from patients diagnosed with breast cancer and 26 patients with benign pathology of the breast. Molecular subtype classification was performed based on the immunohistochemical reports of the tumor piece. HPV genome detection and genotyping from fresh breast biopsies was performed using the INNO-LIPA HPV Genotyping Extra test(Innogenetics, Ghent, Belgium). CD3+, CD4+, CD8+ and natural killer(NK)+ cells levels from peripheral blood samples from patients with breast cancer and benign pathology were measured by flow cytometry. RESULTS Luminal A was the most frequent breast cancer molecular subtype(33.33%). HPV was detected in 25% of the breast cancer patients, and genotype 18 was the most frequent in the studied population. The mean of CD3+, CD4+ and CD8+ subpopulations were decreased in patients with breast cancer, in relation to those with benign pathology, with a statistically significant difference in CD8+ values(P = 0.048). The mean of NK+ cells was increased in the benign pathology group. The average level of CD3+, CD4+, CD8+ and NK+ cells decreased as the disease progressed. HER2+ and Luminal B HER2+ tumors had the lowest counts of cell subsets. HPV breast cancer patients had elevated counts of cellular subsets. CONCLUSION Determining level changes in cellular subsets in breast cancer patients is a useful tool to evaluate treatment response.
基金Chinese National S&T“1Oth Five-Year"Plan (2004BA519A23) the National Natural Science Foundation ofChina (30200201 , 30440009).
文摘We have developed a rapid microarray-based assay for the reliable detection of H5, H7 and H9 subtypes of avian influenza virus （AIV）. The strains used in the experiment were A/Goose/Guangdong/1/96 （H5N1）, A/African starling/983/79 （H7N1） and A/Turkey/Wiscosin/1/66 （H9N2）. The capture DNAs clones which encoding approximate 500-bp avian influenza virus gene fragments obtained by RT-PCR, were spotted on a slide-bound microarray. Cy5-labeled fluorescent cDNAs, which generated from virus RNA during reverse transcription were hybridized to these capture DNAs. These capture DNAs contained multiple fragments of the hemagglutinin and matrix protein genes of AIV respectively, for subtyping and typing AIV. The arrays were scanned to determine the probe binding sites. The hybridization pattern agreed approximately with the known grid location of each target. The results show that DNA microarray technology provides a useful diagnostic method for AIV.
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.
