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Impact of molecular subtypes in muscle-invasive bladder cancer on predicting response and survival outcome to neoadjuvant chemotherapy: results from a multi-institutional validation study

ABSTRACT: 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).

ORGANISM(S): Homo sapiens

PROVIDER: GSE87304 | GEO | 2017/05/25

SECONDARY ACCESSION(S): PRJNA369003

REPOSITORIES: GEO

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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.

Project description:Background: Neoadjuvant chemotherapy (NAC) is the standard treatment for muscle-invasive bladder cancer (MIBC), yet 40% of patients progress, emphasizing the need for biomarkers predictive for response or chemoresistance. Gene expression-based subtypes may serve as biomarkers, though which subtypes will respond, notably when it comes to the basal subtype, remains contentious. Patients and methods: This post hoc study analyzed 300 NAC-treated patients enrolled in the GETUG/AFU VESPER trial, with transurethral diagnostic formalin-ﬁxed parafﬁn-embedded which underwent pathological review before being sequenced. ‘Mixed’ subtype was deﬁned for tumors displaying at least two different Consensus molecular subtypes in separate regions. We evaluated the association between molecular subtypes and outcome after NAC. Tumors with remaining tissue at cystectomy (n ¼ 83) were compared with pre-treatment tumors. Results: Cases were classiﬁed basal/squamous (Ba/Sq) (n ¼ 84), luminal unstable (n = 57), stroma-rich (n = 53), mixed (n = 48), luminal papillary (n ¼ 39), luminal non-speciﬁc (n = 18), and neuroendocrine-like (n ¼ 1), with 30/48 mixed cases including a Ba/Sq component. Compared with other molecular subtypes in a multivariate Cox model, Ba/Sq (pure or mixed) patients had an increased hazard ratio (HR) of progression-free survival [HR 2.0, 95% conﬁdence interval (CI) 1.36-3.0]. Mixed tumors were associated with decreased metabolic activity that could account for chemoresistance. Ba/Sq and mixed non-responders mostly maintained their subtype at cystectomy and have fewer myeloid dendritic cells after NAC. Tumors classiﬁed luminal papillary at transurethral resection of the urinary bladder tumor exhibited an increase in T CD4þ and macrophage signatures after NAC. Other subtypes did not show signiﬁcant immune changes after NAC. Our study design relied on detailed pathological review, which precluded evaluating the mixed subtype in published datasets. Furthermore, the sample size for post-NAC analyses constrained the statistical power of these ﬁndings. Conclusions: Our ﬁndings underscore the importance of recognizing intra-tumor heterogeneity in MIBC and its role in chemoresistance associated with Ba/Sq subtype, and provide valuable insights that could help future treatment development and improve patient outcomes.

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Impact of molecular subtypes in muscle-invasive bladder cancer on predicting response and survival outcome to neoadjuvant chemotherapy: results from a multi-institutional validation study

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