Cell-free DNA methylation as a predictive biomarker of response to neoadjuvant chemotherapy for patients with muscle invasive bladder cancer in SWOG S1314
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE193208 | GEO | 2023/01/01
REPOSITORIES: GEO
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Project description:Despite cisplatin-based neoadjuvant chemotherapy (NAC) 60% of patients with muscle-invasive bladder cancer still have residual invasive disease at radical cystectomy (RC). The NAC-induced biological alterations in these cisplatin-resistant tumors remain largely unstudied. We analyzed gene expression from 133 patients with residual invasive disease after cisplatin-based NAC. H&E and immunohistochemistry were used to confirm tissue sampling and gene expression analysis. Established molecular subtyping models proved to be inconsistent in their classification of the post-NAC samples. Unsupervised consensus clustering revealed four distinct consensus clusters (CC). The CC1-Basal and CC2-Luminal subtypes expressed genes consistent with a basal-like and a luminal-like phenotype, respectively. The CC3-Immune subtype had the highest immune activity, including T-cell infiltration and checkpoint molecule expression, but lacked both basal and luminal markers. The CC4-Scar-like subtype expressed genes associated with wound-healing/ scarring and was associated with favorable prognosis.
2019-01-01 | GSE124305 | GEO
Project description:Background and Objective: Neoadjuvant chemotherapy (NAC) followed by cystectomy is the standard of care in muscle-invasive bladder cancer (MIBC). Pathological response has been associated with longer survival, but no currently available clinicopathological variables can identify patients likely to respond, highlighting the need for predictive biomarkers. We sought to identify a predictive signature of response to NAC integrating clinical score, taxonomic subtype, and gene expression. Material and Methods: From 1994 to 2014, pre-treatment tumor samples were collected from MIBC patients (stage T2-4N0/+M0) at two Spanish hospitals. A clinical score was determined based on stage, hydronephrosis and histology. Taxonomic subtypes (BASQ, luminal, and mixed) were identified by immunohistochemistry. A custom set of 41 genes involved in DNA damage repair and immune response was analyzed in 84 patients with the NanoString nCounter platform. Genes related to pathological response were identified by LASSO penalized logistic regression. NAC consisted of cisplatin/methotrexate/vinblastine until 2000, after which most patients received cisplatin/gemcitabine. The capacity of the integrated signature to predict pathological response was assessed with AUC. Overall survival (OS) and disease-specific survival (DSS) were analyzed with the Kaplan-Meier method. Results: LASSO selected eight genes to be included in the signature (RAD51, IFNγ, CHEK1, CXCL9, c-MET, KRT14, HERC2, FOXA1). The highest predictive accuracy was observed with the inclusion in the model of only three genes (RAD51, IFNɣ, CHEK1). The integrated clinical-taxonomic-gene expression signature including these three genes had a higher predictive ability (AUC=0.71) than only clinical score plus taxonomic subtype (AUC=0.58) or clinical score alone (AUC=0.56). This integrated signature was also significantly associated with OS (p=0.02) and DSS (p=0.02). Conclusions: We have identified a predictive signature for response to NAC in MIBC patients that integrates the expression of three genes with clinicopathological characteristics and taxonomic subtypes. Prospective studies to validate these results are ongoing.
2023-06-20 | GSE235067 | GEO
Project description:Gene expression profiling analysis (RNAseq) of mouse bladder epithelium from wildtype mice (Arf+/+; p53+/+; Pten+/+) or bladder tumors from Arf-wild-type (Arf+/+; p53f/f; Ptenf/f) or Arfnull (Arff/f; p53f/f; Ptenf/f) mice that had been treated with vehicle or cisplatin
2016-11-15 | GSE89823 | GEO
Project description:Four different molecular classifications of muscle-invasive bladder cancer (MIBC) based on gene expression have been proposed. With the ultimate goal of utilizing these molecular subtypes for personalized treatment, we investigated their significance in the context of neoadjuvant cisplatin-based chemotherapy (NAC).
2017-05-25 | GSE87304 | GEO
Project description:Radical cystectomy with preoperative cisplatin-based neoadjuvant chemotherapy (NAC) is a current standard care for muscle-invasive bladder cancers (MIBCs). However, the response rate remains relatively low, and current clinico-pathologic and molecular classifications are inadequate to prospectively stratify MBIC patients regarding the NAC response. Here, we showed that dysregulation in glutathione (GSH) pathway is fundamental for the NAC resistance of MBICs. Comprehensive analysis of transcriptome profiles from four independent cohorts revealed that GSH metabolism and immune response genes were significantly enriched in NAC resistant and sensitive MIBC tumors, respectively. A machine learning based tumor/stroma classifier was applied for high-throughput digitalized immunohistochemistry analysis, identifying GSH dynamic proteins including glutaminase-1 (GLS1) were associated with the NAC resistance and unfavorable clinical characteristics. Consistently, GSH dynamics was activated in cisplatin resistant human MIBC cells, stimulating their proliferation, stemness features, and invasion. Combination treatment of GSH dynamics modulators and cisplatin significantly suppressed tumor growth in an orthotopic xenograft animal model. Our results demonstrate the prognostic and therapeutic values of GSH dynamic mediators in determining the clinical features and response to NAC of patients with MIBCs.
2023-08-21 | GSE212810 | GEO
Project description:High mortality rate of muscle-invasive bladder cancer (MIBC) and complexity of disease demand new multi-targeting treatment strategies. Targeting proliferating cell nuclear antigen (PCNA) with a peptide containing the AlkB homologue 2 PCNA interacting motif (APIM), is shown to impair multiple vital cellular stress responses and induce hypersensitivity against several chemotherapeutics in different pre-clinical models. This study examine the anti-cancer efficacy of the novel APIM-peptide drug when combined with cisplatin-based therapies (cisplatin, cisplatin/gemcitabine (GC) and methotrexate/vinblastine/adriamycin/cisplatin (MVAC)) in a panel of bladder cancer (BC) cells and with intravenous cisplatin-therapy in a rat MIBC-model. Furthermore, we explore the molecular mechanisms underlying the observed effects on a genomic, proteomic and metabolomic level using microarray, multiplexed inhibitor bead (MIB)-assay, and targeted mass spectrometric metabolite profiling. The APIM-peptide significantly increased the efficacy of all cisplatin-based therapies in all BC cell lines tested, including a cisplatin resistant cell line and reduced the tumor load in cisplatin treated MIBC-bearing rats. Genome and proteome analysis of APIM-peptide/cisplatin treated BC cells revealed reduced expression of multiple proteins frequently overexpressed in MIBC. Of notice, the EGFR/ERBB2, PI3K/Akt and MAPK signaling pathways and anti-apoptosis were downregulated. We suggest that the anti-cancer effect of the APIM-peptide is through the downregulation of several known oncogenic signaling pathways including anti-apoptosis. Together our results indicate that the APIM-peptide represents a potential improved treatment approach for patients with MIBC.
2018-09-10 | PXD008724 | Pride
Project description:Divergent biological response to neoadjuvant chemotherapy in muscle-invasive bladder cancer
| PRJNA512271 | ENA
Project description:Cell-free DNA methylation as a predictive biomarker of response to neoadjuvant chemotherapy for patients with muscle invasive bladder cancer in SWOG S1314
| PRJNA795430 | ENA
Project description:Characterizing likelihood of response to neoadjuvant chemotherapy (NAC) in muscle-invasive bladder cancer (MIBC) is an important yet unmet challenge. In this study, a machine-learning framework is developed using imaging of biopsy pathology specimens to generate models of likelihood of NAC response. Developed using cross-validation (evaluable N = 66) and an independent validation cohort (evaluable N = 56), our models achieve promising results (65%-73% accuracy). Interestingly, one model-using features derived from hematoxylin and eosin (H&E)-stained tissues in conjunction with clinico-demographic features-is able to stratify the cohort into likely responders in cross-validation and the validation cohort (response rate of 65% for predicted responder compared with the 41% baseline response rate in the validation cohort). The results suggest that computational approaches applied to routine pathology specimens of MIBC can capture differences between responders and non-responders to NAC and should therefore be considered in the future design of precision oncology for MIBC.
| S-EPMC8484511 | biostudies-literature
Project description:Purpose: Neoadjuvant cisplatin-based Chemotherapy (NAC) followed by cystectomy is the standard of care for patients with muscle-invasive bladder cancer (MIBC). Unfortunately, only a third of patients achieve pathologic complete response (pCR). The aim of this study is to deeply investigate the role played by peripheral immunogenicity and the Tumor and Immune Microenvironment (TIME) in patients undergoing NAC to identify predictive and pharmacodynamic biomarkers associated with treatment response or treatment resistance. Experimental design: N= 19 patients with MIBC received NAC and were classified as pCR (n=10) or non-pCR (n=9). Bulk RNA-seq was performed on 13 formalin-fixed paraffin-embedded (FFPE) tumor biopsies collected before treatment with NAC and immune protein evaluations using GeoMx Digital Spatial Profiling (DSP) technology were performed on matched FFPE tumor biopsies collected before and after treatment with NAC. Matching Peripheral blood collected prior treatment initiation and during cystectomy was assessed for lymphocytes and neutrophils counts. Kaplan–Meier analyses and Cox PH regression models were used for survival analyses (OS). Results: Genes associated with immune signaling and DNA repair signaling correlated with treatment outcome of patients with MIBC undergoing NAC. At baseline, gene expression analysis and digital special profile highlighted an abundance of B cells and a reduced neuroendocrine phenotype in the TME of pCR vs. no-pCR. Increased protein expression of immune checkpoints molecules (e.g. LAG3, ICOS, PD-L1) was also observed in the TME of patients with no-pCR. In peripheral blood, a significant increase of lymphocytes and decrease of neutrophils counts, respectively, was observed in pCR vs no-pCR following NAC. Conclusions: When confirmed on a larger cohort, our results might lead to novel therapeutic strategies and to novel biomarkers predicting patients likely to respond to NAC.
2024-08-16 | GSE247185 | GEO