Núria Malats

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is a molecularly diverse disease with heterogeneous clinical outcomes. Several molecular classifications have been proposed, but the diversity of their subtype sets impedes their clinical application. OBJECTIVE: To achieve an international consensus on MIBC molecular subtypes that reconciles the published classification schemes. DESIGN, SETTING, AND PARTICIPANTS: We used 1750 MIBC transcriptomic profiles from 16 published datasets and two additional cohorts. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We performed a network-based analysis of six independent MIBC classification systems to identify a consensus set of molecular classes. Association with survival was assessed using multivariable Cox models. RESULTS AND LIMITATIONS: We report the results of an international effort to reach a consensus on MIBC molecular subtypes. We identified a consensus set of six molecular classes: luminal papillary (24%), luminal nonspecified (8%), luminal unstable (15%), stroma-rich (15%), basal/squamous (35%), and neuroendocrine-like (3%). These consensus classes differ regarding underlying oncogenic mechanisms, infiltration by immune and stromal cells, and histological and clinical characteristics, including outcomes. We provide a single-sample classifier that assigns a consensus class label to a tumor sample's transcriptome. Limitations of the work are retrospective clinical data collection and a lack of complete information regarding patient treatment. CONCLUSIONS: This consensus system offers a robust framework that will enable testing and validation of predictive biomarkers in future prospective clinical trials. PATIENT SUMMARY: Bladder cancers are heterogeneous at the molecular level, and scientists have proposed several classifications into sets of molecular classes. While these classifications may be useful to stratify patients for prognosis or response to treatment, a consensus classification would facilitate the clinical use of molecular classes. Conducted by multidisciplinary expert teams in the field, this study proposes such a consensus and provides a tool for applying the consensus classification in the clinical setting.

Expression of the activating CD94/NKG2C killer lectin-like receptor (KLR) specific for HLA-E was analyzed in peripheral blood lymphocytes (PBLs) from healthy adult blood donors; the expression of other natural killer (NK) cell receptors (ie, CD94/NKG2A, KIR, CD85j, CD161, NKp46, NKp30, and NKG2D) was also studied. Human cytomegalovirus (HCMV) infection as well as the HLA-E and killer immunoglobulin-like receptor (KIR) genotypes were considered as potentially relevant variables associated with CD94/NKG2C expression. The proportion of NKG2C(+) lymphocytes varied within a wide range (<0.1% to 22.1%), and a significant correlation (r = 0.83; P < .001) between NKG2C(+) NK and T cells was noticed. The HLA-E genotype and the number of activating KIR genes of the donors were not significantly related to the percentage of NKG2C(+) lymphocytes. By contrast, a positive serology for HCMV, but not for other herpesviruses (ie, Epstein-Barr and herpes simplex), turned out to be strongly associated (P < .001) with increased proportions of NKG2C(+) NK and T cells. Remarkably, the CD94/NKG2C(+) population expressed lower levels of natural cytotoxicity receptors (NCRs) (ie, NKp30, NKp46) and included higher proportions of KIR(+) and CD85j(+) cells than CD94/NKG2A(+) cells. Altogether, these data support that HCMV infection selectively shapes the natural killer cell receptor (NKR) repertoire of NK and T cells from healthy carrier individuals.

Prognostic factor research aims to identify factors associated with subsequent clinical outcome in people with a particular disease or health condition. In this article, the second in the PROGRESS series, the authors discuss the role of prognostic factors in current clinical practice, randomised trials, and developing new interventions, and explain why and how prognostic factor research should be improved.