Biomarkers For Bladder Cancer Research Articles

EPHA3 Could Be a Novel Prognosis Biomarker and Correlates with Immune Infiltrates in Bladder Cancer.

To assess the mechanism of EPH receptor A3 (EPHA3) and its potential value for immunotherapy in BLCA. The Cancer Genome Atlas (TCGA) bladder cancer (BLCA) database and the Gene Expression Omnibus (GEO) database were used for assessing whether EHPA3 could be used to predict BLCA prognosis. This work carried out in vitro and in vivo assays for exploring how EPHA3 affected the biological behaviors. The downstream pathway was explored using a Western blotting technique. The CIBERSORT, ESTIMATE, TIMER, and TIDE tools were used to predict the immunotherapy value of EPHA3 in BLCA. EPHA3 was poorly expressed in BLCA (p < 0.05), its high expression is related to a good survival prognosis (p = 0.027 and p = 0.0275), and it has a good predictive ability for the histologic grade and status of BLCA (area under curve = 0.787 and 0.904). Overexpressed EPHA3 could inhibit BLCA cell biological behaviors, and it be associated with the downregulation of the Ras/pERK1/2 pathway. EPHA3 was correlated with several immune-infiltrating cells and the corresponding marker genes. EPHA3 could be regarded as an acceptable anti-cancer biomarker in BLCA. EPHA3 plays an inhibiting role in BLCA, and it could be the candidate immunotherapeutic target for BLCA.

High expression of KIF20A in bladder cancer as a potential prognostic target for poor survival of renal cell carcinoma

Urinary system tumors are malignant tumors, including renal cancer and bladder cancer. however, molecular target of them remains unclear. GSE14762 and GSE53757 were downloaded from GEO database to screen differentially expressed genes (DEGs). Weighted gene co-expression network analysis was performed. Gene Ontology (GO) and Kyoto encyclopedia of genes and genomes were used for enrichment analysis. Gene ontology and Kyoto encyclopedia of genes and genomes analyses were performed on whole genome, as formulated by gene set enrichment analysis. Survival analysis was also performed. Comparative toxicogenomics database was used to identify diseases most associated with hub genes. A total of 1517 DEGs were identified. DEGs were mainly enriched in cancer pathway, HIF-1 signaling pathway, organic acid metabolism, glyoxylate and dicarboxylate metabolism, and protein homodimerization activity. Ten hub genes (TPX2, ASPM, NUSAP1, RAD51AP1, CCNA2, TTK, PBK, MELK, DTL, kinesin family member 20A [KIF20A]) were obtained, which were up-regulated in tumor tissue. The expression of KIF20A was related with the overall survival of renal and bladder cancer. KIF20A was up-regulated in the tumor tissue, and might worsen the overall survival of bladder and kidney cancer. KIF20A could be a novel biomarker of bladder and kidney cancer.

Molecular and Immunohistochemical assessment of Fibroblast Growth Factor Receptor 3 (FGFR3) gene as a survival time predictor in bladder cancer patients

BACKGROUND: Mutation signatures contributing to the tumorigenesis of bladder cancer (BC) are complex and heterogeneous, resulting in unpredictable progression, recurrence, and time survival. Clinically, useful prognostic and predictive biomarkers for both disease recurrence and surveillance are therefore needed. Activating fibroblast growth factor receptor 3 (FGFR3) mutations are regarded as early drivers in the molecular pathogenesis of BC. AIM: The aim of the present study is to evaluate the frequency and distribution pattern of FGFR3 mutation in urine sediments of BC patients in relation to its immunohistochemical (IHC) and molecular expression and to determine the prognostic and predictive value of FGFR3 relative to BC. PATIENTS AND METHODS: One hundred and sixty patients with diagnosed BC and 80 healthy controls were recruited. Urine samples were collected from all participants. DNA was extracted and FGFR3 mutations were examined in exons 7, 10, and 15 by polymerase chain reaction. IHC for FGFR3 expression and fluorescence in situ hybridization technique for assessment of gene amplification was also applied in tissue sections. RESULTS: Ninety-eight (61.3%) patients were mutant in exon 7, 82 (51.3%) were mutant in exon 10, while only 14 (8.8%) were mutant in exon 15. Univariate logistic regression analysis revealed that mutations in the three exons of FGFR3 were statistically associated with BC and could be used as predictor and/or prognostic parameters for BC. Receiver operating characteristic analysis showed that the mutation of exons 7 and 10 could be used as diagnostic biomarkers for BC. Our findings confirm that FGFR3 mutations are associated with tumors of low grade and stage. The prevalence of mutations was significantly associated with recurrence and survival time of patients for all exons. Kaplan–Meier analysis revealed a significant association between mutant patients in exon 10 and survival time. Our findings suggest that estimation of FGFR3 expression and gene amplification could serve as a prognostic indicator in the follow-up of BC patients. It could also be utilized for molecular targeted therapy in BC. CONCLUSION: Our data confirmed the feasibility of FGFR3 mutation detection in urine sediment. FGFR3 genetic mutations are independent prognostic factors for tumor recurrence and the genetic alternation of FGFR3 could be used for prediction of survival time of BC patients.

Designing Intelligent Nanomaterials to Achieve Highly Sensitive Diagnoses and Multimodality Therapy of Bladder Cancer.

Bladder cancer (BC) is among the most common malignant tumors of the genitourinary system worldwide. In recent years, the rate of BC incidence has increased, and the recurrence rate is high, resulting in poor quality of life for patients. Therefore, how to develop an effective method to achieve synchronous precise diagnoses and BC therapies is a difficult problem to solve clinically. Previous reports usually focus on the role of nanomaterials as drug delivery carriers, while a summary of the functional design and application of nanomaterials is lacking. Summarizing the application of functional nanomaterials in high-sensitivity diagnosis and multimodality therapy of BC is urgently needed. This review summarizes the application of nanotechnology in BC diagnosis, including the application of nanotechnology in the sensoring of BC biomarkers and their role in monitoring BC. In addition, conventional and combination therapies strategy in potential BC therapy are analyzed. Moreover, different kinds of nanomaterials in BC multimodal therapy according to pathological features of BC are also outlined. The goal of this review is to present an overview of the application of nanomaterials in the theranostics of BC to provide guidance for the application of functional nanomaterials to precisely diagnose and treat BC.

Urine micro-RNA signature as a potential non-invasive diagnostic biomarker in bladder cancer.

Background: Bladder cancer (BC) is one of the most prevalent malignancies worldwide, 70% of patients initially diagnosed with superficial BC. In addition, 20% of BC patients with recurrence experience disease progression. Thus, identification of novel biomarkers for diagnosis, prognosis and therapeutic targets of BC will help to advance clinical diagnosis and treatment of this disease. MicroRNAs (miRNAs) are single stranded, non coding RNAs that are hypothesized to regulate gene expression at the post transcriptional level. This study aimed to assess the urine and tissue expression levels of miR-200, miR-145 and miR-21 in BC patients o evaluate their potential as noninvasive biomarkers. Subjects and methods: Urine and their corresponding tissue samples were collected from 111 BC patients and from 25 healthy controls. A quantitative real-time polymerase chain reaction method based on a TaqMan probe was used to evaluate the expression levels of miR‑200, miR‑145 and miR-21, the correlations between these miRNA expression levels in urine and tissues and certain clinicopathological parameters were investigated. Results: The expression of the 3 studied miRNAs was significantly higher in urine of low and high tumor grade BC patients compared to the controls and the expression were increased in BC tissues compared with those in normal bladder tissues, the results proved that the 3 miRNAs function as oncogenes. A marked positive correlation was observed between the mRNA expression of miR-200 and miR 21, with a coefficient of 0.511 and P value of 0.02. Conclusion: The results of the present study indicated that miR-200, miR-145 and miR-21 may function as oncogenes and have a potential to serve as an early noninvasive diagnostic biomarkers and therapeutic targets for treatment of BC.

Commentary: Why have different key biomarkers been reported in the same types of samples from patients with identical diseases?

Accurate biomarkers are crucial for early disease detection and improved prognosis. However, the inconsistent reporting of different key biomarkers in the same types of samples from patients with identical diseases in biomarker discovery studies is often questioned. In contrast to such instrumental analyses, the murine olfactory system consistently distinguishes subtle variations in genetically determined individual-unique body odors in urine samples and more pronounced differences in diet-modulated and fluctuating body odors. Interestingly, sniffer mouse behavioral assays revealed that prostate and bladder cancers alter olfactory cues in urine samples to be more intense compared with diet-modulated or genetically determined individual-specific body odors. The causes of inconsistent key biomarkers include high inter-individual and inter-sample variability due to diet-induced metabolites and cosmetic or environmental contaminations. Previously, we proposed experimental procedures tolerant to such noise-like variability or fluctuation, leading to the identification of ten urinary volatile biomarkers for prostate cancer, including 2,6-di(propan-2-yl)phenol as a unique biomarker for bladder cancer. This commentary discusses the theoretical basis of urinary volatile biomarkers and future directions for complementary biomarker development for diagnosis.

A novel sandwich impedimetric immunosensor for detection of apolipoprotein-A1 based on the gold nanoparticle-hybridized mercapto-β-cyclodextrin-Pb(II) metal-organic framework.

A novel sandwich electrochemical impedimetric immunosensor was proposed to detect apolipoprotein-A1 (Apo-A1), a common biomarker for bladder cancer. The molybdenum disulfide/graphene quantum dot (MoS2/GQD) nanocomposites were modified on the surface of a glassy carbon electrode (GCE) and used to immobilize the biotinylated antibody (Ab1) with the help of chitosan and glutaraldehyde (denoted as BSA/Ab1/CHIT/MoS2/GQD/GCE). Pb(II)-thiol-β-cyclodextrin metal-organic framework (denoted as Pb-MOF) was synthesized with lead metal ions and thiol-β-cyclodextrin ligands by a one-pot solvothermal method, and then, gold nanoparticles were modified on the surface of Pb-MOF (Pb-MOF-AuNPs) by Au-S bond, which was used as signal label for the recombinant antibody (Ab2). When the immunosensor of BSA/Ab1/CHIT/MoS2/GQD/GCE reacted with Apo-A1, Pb-MOF-AuNPs-Ab2/BSA was connected to the electrode when immunoreaction occurred, and an immune sandwich structure was formed, which led to significantly increased charge transfer resistance of electrochemical probe for ferrocyanide (II)/(III) within the frequency range 10-1 ~ 105Hz at 5 mV amplitude and the potential of 0.180V (vs. SCE). Based on this principle, the quantitative detection of Apo-A1 was established. The relative change of electrochemical resistance and the logarithmic value of Apo-A1 concentration showed a linear relationship with a linear coefficient of 0.9989 in the range 1.00pgmL-1 and 1.00μgmL-1 with the limit of detection of 0.30pgmL-1. The selectivity, repeatability, and other performance of the proposed immunosensor were also investigated. The immunosensor was successfully applied to the detection of real serum and urine samples with recovery in the range 96.4 ~ 109.1% (RSD < 3.8%), indicating that it could be helpful for the clinical diagnosis of bladder cancer.

Expression pattern of the histone lysine demethylase family and its potential role in bladder cancer: a multi-omics analysis

To investigate the expression patterns of 19 histone lysine demethylases (KDMs) and their role in bladder cancer. In this study, UALCAN and GSCALite were used to analyze the transcriptional expression, methylation level and somatic variation of KDMs in bladder cancer samples from TCGA. Kaplan Meier-Plotter and Assistant for clinical bioinformatics were used to investigate the effect of KDMs expression on the prognosis of BLCA samples. The immune infiltration and drug sensitivity of KDMs in bladder cancer were analyzed by Timer and GSCALite. The KDMs did not show consistent expressions patterns in bladder cancer, where the expressions of KDM1A/1B/2B/4A/4B/5B/5C were significantly upregulated while those of KDM3B/6B/7C were significantly downregulated. Methylation data analysis showed that methylation levels of KDM1A/3B/4A/4B/4C/5A/5B/5C/7B were significantly downregulated and that of KDM7C was upregulated. The transcription levels of 14 KDMs had significant negative correlations with their methylation levels, and among them KDM1A showed the strongest correlation. Mutation analysis revealed that KDM6A had the highest frequency of nonsynonymous mutations with the largest variety, and these mutations were complementary to nonsynonymous mutations of the other KDMs. Survival analysis showed that KDM3A/4C/5D/6A/7B were protective for OS while KDM3B/5B/5C adversely affected RFS of BLCA patients. Further comprehensive prognostic modeling confirmed that KDM4C/6A/7B were potential prognostic biomarkers of bladder cancer, and their expressions were positively correlated with immune infiltration in BLCA patients. KDM2B/3B/4B/4C/5A were negatively correlated with the sensitivity to most anticancer drugs, while KDM2B/4B were positively correlated with the sensitivity to 4 anticancer drugs. The expression patterns of the KDMs in bladder cancer highlight a high mutation complementarity and a negative correlation between over-expression and hypomethylation level closely related with the prognosis, immune infiltration and drug sensitivity.

Six potential biomarkers for bladder cancer: key proteins in cell-cycle division and apoptosis pathways

BackgroundThe bladder cancer (BC) pathology is caused by both exogenous environmental and endogenous molecular factors. Several genes have been implicated, but the molecular pathogenesis of BC and its subtypes remains debatable. The bioinformatic analysis evaluates high numbers of proteins in a single study, increasing the opportunity to identify possible biomarkers for disorders.MethodsThe aim of this study is to identify biomarkers for the identification of BC using several bioinformatic analytical tools and methods. BC and normal samples were compared for each probeset with T test in GSE13507 and GSE37817 datasets, and statistical probesets were verified with GSE52519 and E-MTAB-1940 datasets. Differential gene expression, hierarchical clustering, gene ontology enrichment analysis, and heuristic online phenotype prediction algorithm methods were utilized. Statistically significant proteins were assessed in the Human Protein Atlas database. GSE13507 (6271 probesets) and GSE37817 (3267 probesets) data were significant after the extraction of probesets without gene annotation information. Common probesets in both datasets (2888) were further narrowed by analyzing the first 100 upregulated and downregulated probesets in BC samples.ResultsAmong the total 400 probesets, 68 were significant for both datasets with similar fold-change values (Pearson r: 0.995). Protein-protein interaction networks demonstrated strong interactions between CCNB1, BUB1B, and AURKB. The HPA database revealed similar protein expression levels for CKAP2L, AURKB, APIP, and LGALS3 both for BC and control samples.ConclusionThis study disclosed six candidate biomarkers for the early diagnosis of BC. It is suggested that these candidate proteins be investigated in a wet lab to identify their functions in BC pathology and possible treatment approaches.

Bioinformatics analysis of key biomarkers for bladder cancer.

Bladder cancer (BC) is one of the most prevalent genitourinary cancers. Despite the growing research interest in BC, the molecular mechanisms underlying its carcinogenesis remain poorly understood. The microarray datasets GSE38264 and GSE61615 obtained from the Gene Expression Omnibus (GEO) database were analyzed and differentially expressed genes (DEGs) were identified, which were then verified using a dataset from The Cancer Genome Atlas (TCGA). By taking the intersection of the two microarray datasets, the common DEGs were identified and these were selected as candidate genes associated with BC. The DEGs were further subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and the protein-protein interaction network was constructed. Further module analysis was performed using STRING and Cytoscape. A total of 362 DEGs were identified, including 13 hub genes, and the GO analysis revealed that these genes were mainly enriched in extracellular matrix organization, positive regulation of cell proliferation, angiogenesis and peptidyl-tyrosine phosphorylation. The expression changes of PTPRC, PDGFRA, CASQ2, TGFBI, KLRD1 and MT1X in the different datasets indicated that these genes were involved in the development of BC. Next, the differential expression of these genes was verified in the TCGA dataset, and ultimately, these 13 genes were determined to be related to the occurrence and development of BC. Finally, the cancer tissues and adjacent tissues of patients with BC were collected and subjected to reverse transcription-quantitative PCR, the results of which were consistent with the bioinformatics prediction. The present findings provide several vital genes for the clinical diagnosis and treatment of BC.

NDRG1 is being investigated as a possible bladder cancer biomarker in the Iraqi population.

With 549,393 new cases recorded in 2018, bladder cancer is one of the most common malignancies worldwide. Urinary bladder cancer is the cause of about 3 percent of all new cancer diagnoses and 2.1 percent of all cancer deaths. This study aims to evaluate the efficiency of the N-myc downstream-regulated gene 1(NDRG1) as a biomarker for bladder cancer patients in the Iraqi population. One hundred individuals in the case-control study were enrolled and divided into two groups. The first group included 50 patients diagnosed with a bladder mass and investigated by undergoing cystoscopy examination for transurethral resection of bladder tumor (TURB). The second group included 50 healthy individuals who had normal bladder tissue. The results of the present study showed the highest level of (NDRG1) among cases with statically significant association (p=0.001). The ROC curve demonstrated that the protein level of (NDRG1) could distinguish disease patients from healthy individuals with a sensitivity of 96% and a specificity of 92%. Serum (NDRG1) protein is an efficient and noninvasive tumor marker for diagnosing bladder cancer. Keywords: N-myc downstream-regulated gene 1 (NDRG1), non-muscle-invasive bladder cancer (NMIBC), transurethral resection of bladder tumor (TURB).

CALN1 hypomethylation as a biomarker for high-risk bladder cancer

BackgroundDNA methylation in cancer is considered a diagnostic and predictive biomarker. We investigated the usefulness of the methylation status of CALN1 as a biomarker for bladder cancer using methylation-sensitive restriction enzyme (MSRE)-quantitative polymerase chain reaction (qPCR).MethodsEighty-two bladder cancer fresh samples were collected via transurethral resection of bladder tumors. Genomic DNA was extracted from the samples, and MSRE-qPCR was performed to determine the CALN1 methylation percentage. Reverse transcription-qPCR was performed to assess the correlation between CALN1 methylation and mRNA expression. The association between CALN1 methylation percentage and clinicopathological variables of all cases and intravesical recurrence of non-muscle-invasive bladder cancer (non-MIBC) cases were analyzed.ResultsOf the 82 patients, nine had MIBC and 71 had non-MIBC who had not undergone total cystectomy. The median CALN1 methylation percentage was 79.5% (interquartile range: 51.1–92.6%). The CALN1 methylation percentage had a negative relationship with CALN1 mRNA expression (Spearman’s ρ = − 0.563 and P = 0.012). Hypomethylation of CALN1 was associated with advanced tumor stage (P = 0.0007) and histologically high grade (P = 0.018). Furthermore, multivariate analysis revealed that CALN1 hypomethylation was an independent risk factor for intravesical recurrence in non-MIBC patients (hazard ratio 3.83, 95% confidence interval; 1.14–13.0, P = 0.031).ConclusionOur findings suggest that CALN1 methylation percentage could be a useful molecular biomarker for bladder cancer.

Quantitative detection of urinary bladder cancer antigen via peptide-immobilized magnetic bead-based SERS probe.

Antibody pairing is a difficult step in developing all immune-sandwich assay for antigen detection. Urinary bladder cancer (UBC) antigen is a typical bladder cancer biomarker for the early diagnosis of bladder cancer. Based on peptide-antibody pairing, a surface-enhanced Raman scattering platform for the ultrasensitive detection of UBC is presented. The phage display tech was used to screen and obtain a 12-peptide ligand against UBC (KD = 4.84 × 10-7 M). Twelve-peptide-conjugate magnetic beads (MNs@12-peptide) and antibody-conjugate silver nanoparticles (AgNPs@Ab) were prepared for SERS measurements. AgNPs@Ab can be linked onto the surface of MNs@12-peptide through ligand/antibody recognition to assess a sandwich-shape complex, which turns on the SERS signal of 4-ABP. Furthermore, the second SERS signal amplification is from the magnetic field-induced spontaneous collection effect. The above design enhances the SERS signal to achieve the limit of detection as 6.25 ng/mL, the clinical threshold of 10 ng/mL. Six clinical urine samples from bladder cancer patients and healthy volunteers were also successfully detected using the dual enhancement SERS measurement. The proposed method provides the future direction of fully automated and ultrasensitive assays.

Identification of immuno-infiltrating MAP1A as a prognosis-related biomarker for bladder cancer and its ceRNA network construction.

Approximately 75% of bladder cancer occurrences are of the non-muscle-invasive type. The estimated five-year survival rate is 26%-55%. Currently, there is no reliable biomarker available for early diagnosis and prognosis of bladder cancer. The present study aims to identify a biomarker using bioinformatic approaches to provide a new insight in clinical research for early diagnosis and prognosis of bladder cancer. Clinical data and a transcriptome of bladder cancer were obtained from TCGA, GEO, GETx, and UCSC Xena. The differential expressed gene (DEG) analysis, weighted gene co-expression network analysis (WGCNA), and survival analysis using the Kaplan-Meier and Cox proportional-hazards models were used to identify the Microtubule-associated Proteins 1A (MAP1A). on overall survival (OS) and disease-free survival (DFS) was analyzed using GEPIA and GETx databases. The TIMER 2.0 database predicted the correlation between MAP1A and immunocytes and immune checkpoints. Target prediction of the regulated competing endogenous RNAs (ceRNAs) network of MAP1A was performed using starBase and TargetScan. Cystoscope v3.7.2 software was used to visualize the ceRNA coexpression network. The R programming language v4.0.2 was applied as an analytic tool. Gene expression of MAP1A verified by RT-qPCR. The low expression of MAP1A was verified in bladder cancer tissues and bladder cancer cell lines SW780 and 5637.P < 0.001 were obtained by Kaplan-Meier survival analysis and Cox proportional hazards model, with a hazard ratio (HR) of 1.4. Significant correlations between MAP1A and OS (P < 0.001, HR = 1.9) as well as DFS (P < 0.05, HR = 1.7) in bladder cancer were identified through gene expression profiling interactive analysis (GEPIA), indicating MAP1A may be a high-risk factor. Significant correlation in single copy-number variation of MAP1A gene with CD8+ T cells, and myeloid dendritic cells (MDCs) (P < 0.05) was noted. MAP1A expression was shown to be significantly correlated with the amount of CD4+ T cells and CD8+ T cells, MDCs, macrophages, and neutrophils in a statistically significant positive manner (P < 0.001). However, the MAP1A expression demonstrated a strong negative connection with B cells (P < 0.001). Except for macrophage M1 genes IRF5 and PTGS2, MAP1A expression was significantly correlated with the gene levels in immunocytes such as CD4+ T cells, CD8+ T cells, B cells, dendritic cells (DCs), macrophages, and neutrophils (Cor > 0.2, P < 0.001), as well as immune checkpoint related genes including cytotoxic t-lymphocyte-associated protein 4 (CTLA-4), programmed death 1 (PD-1), programmed death ligand 1 (PD-L1) (P < 0.001). Finally, we predicted that the MAP1A-interacting miRNA was miR-34a-5p, and the MAP1A endogenous competing RNAs were LNC00667, circ_MAP1B, and circ_MYLK, respectively. These findings support the need for further studies on the mechanism underlying the pathogenesis of this disease. MAP1A is considered as a prospective biomarker for early diagnosis, therapeutic observation, and prognosis analysis in bladder cancer.

Biomarkers of Bladder Cancer: Cell-Free DNA, Epigenetic Modifications and Non-Coding RNAs.

Bladder cancer (BC) is the 10th most frequent cancer in the world. The initial diagnosis and surveillance of BC require a combination of invasive and non-invasive methods, which are costly and suffer from several limitations. Cystoscopy with urine cytology and histological examination presents the standard diagnostic approach. Various biomarkers (e.g., proteins, genes, and RNAs) have been extensively studied in relation to BC. However, the new trend of liquid biopsy slowly proves to be almost equally effective. Cell-free DNA, non-coding RNA, and other subcellular structures are now being tested for the best predictive and diagnostic value. In this review, we focused on published gene mutations, especially in DNA fragments, but also epigenetic modifications, and non-coding RNA (ncRNA) molecules acquired by liquid biopsy. We performed an online search in PubMed/Medline, Scopus, and Web of Science databases using the terms "bladder cancer", in combination with "markers" or "biomarkers" published until August 2022. If applicable, we set the sensitivity and specificity threshold to 80%. In the era of precision medicine, the development of complex laboratory techniques fuels the search and development of more sensitive and specific biomarkers for diagnosis, follow-up, and screening of BC. Future efforts will be focused on the validation of their sensitivity, specificity, predictive value, and their utility in everyday clinical practice.

Systematical analysis of ferroptosis regulators and identification of GCLM as a tumor promotor and immunological biomarker in bladder cancer.

Bladder cancer (BCa) is a life-threaten disease with an increasing incidence with age, and immunotherapy has become an important treatment for BCa, while the efficiency of the immune system declines with age. It is vital to reveal the mechanisms of tumor immune microenvironment (TIME) and identify novel immunotherapy targets for BCa. Through analyzing the RNA-seq of TCGA-BLCA cohort, we distinguished two ferroptosis-related BCa clusters, and we discovered that in comparation with cluster 2, the cluster 1 BCa patients showed higher PD-L1 expression, more unfavorable overall survival and higher tumor stage and grade. XCELL analyses showed that higher level of Th2 cell and Myeloid dendritic cell were enriched in cluster 1, while NK T cell was enriched in cluster 2, and TIDE analysis revealed that cluster 2 was more sensitive to immunotherapy than cluster 1. GSEA analysis implied that Toll-like signaling pathway and JAK_STAT signaling pathway were significantly enriched in cluster 1. Subsequently, through performing bioinformatic analysis and cell experiments, we demonstrated that GCLM is overexpressed in BCa and indicates dismal prognosis, and knockdown of GCLM can significantly suppress the colony formation ability of BCa cells. Furthermore, we also found that GCLM might be correlated with immune infiltration in BCa, and can serve as a tumor promotor and immunological biomarker in BCa, our research showed the vital roles of ferroptosis regulators in TIME of BCa, and GCLM is a latent therapeutic target for cancer immunotherapy.

Cancer-Associated Membrane Protein as Targeted Therapy for Bladder Cancer.

Bladder cancer (BC) recurrence is one of the primary clinical problems encountered by patients following chemotherapy. However, the mechanisms underlying their resistance to chemotherapy remain unclear. Alteration in the pattern of membrane proteins (MPs) is thought to be associated with this recurrence outcome, often leading to cell dysfunction. Since MPs are found throughout the cell membrane, they have become the focus of attention for cancer diagnosis and treatment. Identifying specific and sensitive biomarkers for BC, therefore, requires a major collaborative effort. This review describes studies on membrane proteins as potential biomarkers to facilitate personalised medicine. It aims to introduce and discuss the types and significant functions of membrane proteins as potential biomarkers for future medicine. Other types of biomarkers such as DNA-, RNA- or metabolite-based biomarkers are not included in this review, but the focus is mainly on cell membrane surface protein-based biomarkers.

Prognostic Signature GXYLT2 Is Correlated with Immune Infiltration in Bladder Cancer.

Background GXYLT2 (glucoside xylosyltransferase 2) was known as an important gene that regulates classical Notch signaling and is involved in progression in human tumors. However, the correlation between GXYLT2 expression and bladder cancer remains unclear. Methods GXYLT2 expression was analyzed by ONCOMINE database, GEPIA database, and TIMER database. The Cancer Genome Atlas (TCGA) was utilized to confirm relationships between GXYLT2 and molecular subtypes of BLCA (bladder cancer). We discovered prognostic value of GXYLT2 in BLCA using GEPIA, LinkedOmics database, and Kaplan-Meier Plotter database. Subsequently, correlations between GXYLT2 and tumor immune infiltration were investigated through TIMER and TISIDB website. We then downloaded data of patients with BLCA from TCGA website, to conduct functional annotations and to construct protein-protein interaction network through STRING and Enrich web servers. Results Significant differences were observed between GXYLT2 expression of bladder cancer and normal tissues. GXYLT2 was a poor prognostic biomarker in BLCA with impact on diverse clinical characteristics. We found that GXYLT2 was closely related to tumor immune infiltrated cells and immune genes. Functional annotations indicated that GXYLT2 was linked to immune-related pathways. Conclusions The results suggested that GXYLT2 was associated with a poor prognosis and tumor immune cell infiltration of BLCA. GXYLT2 could be a promising therapeutic target in bladder cancer.

CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer.

Simple SummaryIt is necessary to explore a reliable predictive biomarker for immunotherapeutic strategies in bladder cancer. As an important member of tumor-infiltrating immune cells, cytotoxic T cells are the ultimate effectors of cancer rejection because of their specificity against cancer cells and cytolytic capabilities. Based on RNA expression data, we found that among T cytotoxic pathway-related genes, CD8A is a novel protective gene in bladder cancer. CD8A expression is highly associated with tumor microenvironment characteristics and tumor mutation burden, which partially explain CD8A as a prognostic and immunotherapy predictive biomarker in bladder cancer. In addition, we performed the radiogenomics in bladder cancer based on the RNA-sequence data and MRI-based radiomics features in our center. In this way, an MRI-based radiomics signature has the potential to preoperatively predict the expression of CD8A, thereby contributing to the preoperative prediction of prognosis and immunotherapeutic susceptibility in bladder cancer.As an important member of T cytotoxic pathway-related genes, CD8a molecule (CD8A) may be a useful biomarker of immunotherapeutic response and immune cell infiltration. We aimed to investigate the clinical predictive value of CD8A in prognosis and tumor microenvironment (TME) and preoperatively predict the expression of CD8A using radiogenomics in bladder cancer (BCa). Among 12 T cytotoxic pathway-related genes, CD8A was a novel protective gene and had the highest correlations with T cells and Macrophages M1 in BCa. In advanced cancer patients treated with immunotherapy, low CD8A expression was associated with immunotherapeutic failure and poor survival outcomes. CD8A expression was highly related to tumor mutation burden, critical immune checkpoint genes and several types of tumor-infiltrating immune cells, predicting effective response to immunotherapy. The preoperative MRI radiomics features and RNA-sequence data of 111 BCa samples were used to develop a radiomics signature that achieved good performance in the prediction of CD8A expression in both the training (area under curve (AUC): 0.857) and validation sets (AUC: 0.844). CD8A is a novel indicator for predicting the prognosis and immunotherapeutic response in BCa. A radiomics signature has the potential to preoperatively predict the expression of CD8A in BCa patients.

Multicentric validation of diagnostic tests based on BC-116 and BC-106 urine peptide biomarkers for bladder cancer in two prospective cohorts of patients.

Non-invasive urine-based biomarkers can potentially improve current diagnostic and monitoring protocols for bladder cancer (BC). Here we assess the performance of earlier published biomarker panels for BC detection (BC-116) and monitoring of recurrence (BC-106) in combination with cytology, in two prospectively collected patient cohorts. Of the 602 patients screened for BC, 551 were found eligible. For the primary setting, 73 patients diagnosed with primary BC (n = 27) and benign urological disorders, including patients with macroscopic haematuria, cystitis and/or nephrolithiasis (n = 46) were included. In total, 478 patients under surveillance were additionally considered (83 BC recurrences; 395 negative for recurrence). Urine samples were analysed with capillary electrophoresis-mass spectrometry. The biomarker score was estimated via support vector machine-based software. Validation of BC-116 biomarker panel resulted in 89% sensitivity and 67% specificity (AUCBC-116 = 0.82). A diagnostic score based on cytology and BC-116 resulted in good (AUCNom116 = 0.85) but not significantly better performance (P = 0.5672). A diagnostic score including BC-106 and cytology was evaluated (AUCNom106 = 0.82), significantly outperforming both cytology (AUCcyt = 0.72; P = 0.0022) and BC-106 (AUCBC-106 = 0.67; P = 0.0012). BC-116 biomarker panel is a useful test for detecting primary BC. BC-106 classifier integrated with cytology showing >95% negative predictive value, might be useful for decreasing the number of cystoscopies during surveillance.