Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer.

We report a comprehensive analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the overall mutational load was associated with APOBEC-signature mutagenesis. Clustering by mutation signature identified a high-mutation subset with 75% 5-year survival. mRNA expression clustering refined prior clustering analyses and identified a poor-survival "neuronal" subtype in which the majority of tumors lacked small cell or neuroendocrine histology. Clustering by mRNA, long non-coding RNA (lncRNA), and miRNA expression converged to identify subsets with differential epithelial-mesenchymal transition status, carcinoma in situ scores, histologic features, and survival. Our analyses identified 5 expression subtypes that may stratify response to different treatments.

Vesical Imaging-Reporting and Data System use predicting the outcome of neoadjuvant pembrolizumab in muscle-invasive bladder cancer.

OBJECTIVE: To evaluate the predictive capability of the pre- and post-pembrolizumab Vesical Imaging-Reporting and Data System (VI-RADS) to identify ypT0N0 or ypT≤1N0 response in muscle-invasive bladder cancer (MIBC) within the PURE-01 trial (ClinicalTrials.gov identifier: NCT02736266). PATIENTS AND METHODS: Patients were staged with bladder multiparametric magnetic resonance imaging (mpMRI) before and after treatment (three cycles of pembrolizumab) prior to radical cystectomy (RC). Logistic regression models were used to analyse the pre- and post- pembrolizumab VI-RADS against ypT≤1N0 and ypT0N0 response. The VI-RADS scores were dichotomised between 0 and 3 (0 = no evidence of disease) and 4-5. Event-free survival (EFS) and overall survival (OS) analyses were performed. Comprehensive genomic profiling and transcriptome-wide expression profiling data were matched with the VI-RADS scores. RESULTS: In total, 110 patients underwent centrally reviewed scans (N = 220 mpMRI), treated between February 2017 and July 2020. Both pre- and post-pembrolizumab VI-RADS 0-3 scores were the only significant covariates that predicted the ypT≤1N0 endpoint in multivariable analyses, and the strongest effect was seen with post-pembrolizumab VI-RADS 0-3 predicting the ypT≤1N0 response (P < 0.001). The area under the curve for this model was 0.90. Post-pembrolizumab VI-RADS 0-3 also predicted a longer EFS (P < 0.001) and OS (P = 0.044). The scores of several gene signatures from baseline tumours differed between the pre-pembrolizumab VI-RADS 0-3 and 4-5 categories. CONCLUSION: Post-pembrolizumab VI-RADS scores are strongly associated with pathological downstaging and survival. VI-RADS scores were also characterised by distinct biomarker features. These results indicate that the VI-RADS is emerging as an important tool for designing next-generation trials for MIBC.

Non-muscle-invasive micropapillary bladder cancer has a distinct lncRNA profile associated with unfavorable prognosis.

BACKGROUND: Molecular subtyping of bladder cancer has revealed luminal tumors generally have a more favourable prognosis. However, some aggressive forms of variant histology, including micropapillary, are often classified luminal. In previous work, we found long non-coding RNA (lncRNA) expression profiles could identify a subgroup of luminal bladder tumors with less aggressive biology and better outcomes. OBJECTIVE: In the present study, we aimed to investigate whether lncRNA expression profiles could identify high-grade T1 micropapillary bladder cancer with differential outcome. DESIGN, SETTING, AND PARTICIPANTS: LncRNAs were quantified from RNA-seq data from a HGT1 bladder cancer cohort that was enriched for primary micropapillary cases (15/84). Unsupervised consensus clustering of variant lncRNAs identified a three-cluster solution, which was further characterised using a panel of micropapillary-associated biomarkers, molecular subtypes, gene signatures, and survival analysis. A single-sample genomic signature was trained using lasso-penalized logistic regression to classify micropapillary-like gene-expression, as characterised by lncRNA clustering. The genomic classifier (GC) was tested on luminal tumors derived from the TCGA cohort (N = 202). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Patient and tumor characteristics were compared between subgroups by using X2 tests and two-sided Wilcoxon rank-sum tests. Primary endpoints were overall, progression-free and high-grade recurrence-free survival, calculated as the date of high-grade T1 disease at TURBT till date of death from any cause, progression, or recurrence, respectively. Survival rates were estimated using weighted Kaplan-Meier (KM) curves. RESULTS AND LIMITATIONS: Primary micropapillary HGT1 showed decreased FGFR3, SHH, and p53 pathway activity relative to tumors with conventional urothelial carcinoma. Many bladder cancer-associated lncRNAs were downregulated in micropapillary tumors, including UCA1, LINC00152, and MALAT1. Unsupervised consensus clustering resulted in a lncRNA cluster 1 (LC1) with worse prognosis that was enriched for primary micropapillary histology and the Luminal Unstable (LumU) molecular subtype. Interestingly, LC1 appeared to better identify aggressive HGT1 disease, compared to stratifying outcomes using primary histologic characteristics. A signature trained to identify LC1 cases showed good performance in the testing cohort, identifying seven cases with significantly worse survival (p < 0.001). Limitations include the retrospective nature of the study and the lack of a validation cohort. CONCLUSIONS: Using the lncRNA transcriptome we identified a subgroup of aggressive HGT1 bladder cancer that was enriched with micropapillary histology. These data suggest that lncRNAs can facilitate the identification of aggressive micropapillary-like tumors, potentially improving patient management.

Patients with Muscle-Invasive Bladder Cancer with Nonluminal Subtype Derive Greatest Benefit from Platinum Based Neoadjuvant Chemotherapy.

PURPOSE: Neoadjuvant chemotherapy (NAC) prior to radical cystectomy (RC) in patients with nonmetastatic muscle-invasive bladder cancer (MIBC) confers an absolute survival benefit of 5%-10%. There is evidence that molecular differences between tumors may impact response to therapy, highlighting a need for clinically validated biomarkers to predict response to NAC. MATERIALS AND METHODS: Four bladder cancer cohorts were included. Inverse probability weighting was used to make baseline characteristics (age, sex and clinical tumor stage) between NAC-treated and untreated groups more comparable. Molecular subtypes were determined using a commercial genomic subtyping classifier. Survival rates were estimated using weighted Kaplan-Meier curves. Cox proportional hazards models were used to evaluate the primary and secondary study end points of overall survival (OS) and cancer-specific survival, respectively. RESULTS: A total of 601 patients with MIBC were included, of whom 247 had been treated with NAC and RC, and 354 underwent RC without NAC. With NAC, the overall net benefit to OS and cancer-specific survival at 3 years was 7% and 5%, respectively. After controlling for clinicopathological variables, nonluminal tumors had greatest benefit from NAC, with 10% greater OS at 3 years (71% vs 61%), while luminal tumors had minimal benefit (63% vs 65%) for NAC vs non-NAC. CONCLUSIONS: In patients with MIBC, a commercially available molecular subtyping assay revealed nonluminal tumors received the greatest benefit from NAC, while patients with luminal tumors experienced a minimal survival benefit. A genomic classifier may help identify patients with MIBC who would benefit most from NAC.

A Genomic Classifier for Predicting Clinically Aggressive Luminal Bladder Tumors with Higher Rates of Pathological Up Staging.

PURPOSE: Urothelial carcinoma of the luminal molecular subtype is associated with lower rates of pathological up staging from clinical stage T1-T2 to nonorgan confined (pT3 or greater and/or pN+) disease at radical cystectomy. However, approximately a third of luminal urothelial carcinoma cases were up staged to nonorgan confined disease, and these may be under treated if neoadjuvant chemotherapy is withheld. In this study we trained a genomic classifier to predict luminal nonorgan confined disease in patients diagnosed with clinically organ confined (cT1/T2) disease. MATERIALS AND METHODS: Specimens from transurethral resected high grade cT1-T2N0M0 urothelial carcinoma of the bladder that belonged to the luminal subtype (Seiler 2017) were randomly split into training (75) and testing (25) sets for the development of a single sample luminal up staging classifier using lasso/ridge-penalized logistic regression. All patients underwent radical cystectomy without neoadjuvant chemotherapy and the primary end point was up staging to nonorgan confined disease. A radical cystectomy cohort and a platinum treated neoadjuvant chemotherapy cohort were used to evaluate the luminal up staging classifier. RESULTS: Up staging to nonorgan confined disease occurred in 34% of luminal cases. The luminal up staging classifier predicted up staging in 32 of 34 cases, with 6 false-positives (AUC 0.96). The sensitivity for detection of luminal pN+ disease was 95% (20 of 21). Patients with predicted nonorgan confined luminal tumors had worse survival than those with organ confined luminal tumors (p=0.001). On multivariable analysis the luminal up staging classifier was a significant predictor of overall survival after adjusting for clinical variables available at transurethral resection. The luminal up staging classifier also predicted overall survival for aggressive luminal TCGA (The Cancer Genome Atlas) cases (n=83, p=0.043). In the neoadjuvant chemotherapy cohort the luminal up staging classifier predicted 9 up staging cases, all of which had excellent prognosis. CONCLUSIONS: A luminal up staging classifier was developed that distinguishes a subset of cT1-T2N0M0 luminal urothelial carcinoma cases at high risk for up staging to nonorgan confined disease at radical cystectomy and of death. Validation of this model in an independent, large patient cohort is necessary to determine how molecular stratification of luminal tumors could be used to guide treatment of these patients.

Genomic Subtyping in Bladder Cancer.

PURPOSE OF REVIEW: Molecular characterization of cancer allows us to understand oncogenesis and clinical prognosis as well as facilitates development of biomarkers and treatment. Our aim was to review the current literature on genomic characterization of bladder cancer, and how far we are in implementing genomics into clinical practice. RECENT FINDINGS: Bladder cancers are molecularly diverse tumors with a high mutational rate. On molecular level, bladder cancer can be categorized into at least six subtypes called luminal-papillary, luminal-unstable, luminal non-specified, basal-squamous, neuroendocrine-like, and stroma-rich. These subtypes have characteristic genomic and transcriptomic profiles and appear to have different prognoses. Several molecular subtypes have been identified in bladder cancer. Prospective trials are underway to validate the applicability of genomic subtypes for clinical decision making. Further integrative analyses of genomic alterations, gene expression, epigenetics, and proteomics need to be performed before genomic subtyping can be attained in clinical practice.

Correction to: Genomic Subtyping in Bladder Cancer.

The original version of this article contained a mistake. The included Conflict of Interest statement was incorrect.

Characterization of transcriptomic signature of primary prostate cancer analogous to prostatic small cell neuroendocrine carcinoma.

Prostatic small cell neuroendocrine carcinoma (SC/NE) is well studied in metastatic castration-resistant prostate cancer; however, it is not well characterized in the primary setting. Herein, we used gene expression profiling of SC/NE prostate cancer (PCa) to develop a 212 gene signature to identify treatment-naïve primary prostatic tumors that are molecularly analogous to SC/NE (SC/NE-like PCa). The 212 gene signature was tested in several cohorts confirming similar molecular profile between prostatic SC/NE and small cell lung carcinoma. The signature was then translated into a genomic score (SCGScore) using modularized logistic regression modeling and validated in four independent cohorts achieving an average AUC >0.95. The signature was evaluated in more than 25,000 primary adenocarcinomas to characterize the biology, prognosis and potential therapeutic response of predicted SC/NE-like tumors. Assessing SCGScore in a prospective cohort of 17,967 RP and 6,697 biopsy treatment-naïve primary tumors from the Decipher Genomic Resource Information Database registry, approximately 1% of the patients were found to have a SC/NE-like transcriptional profile, whereas 0.5 and 3% of GG1 and GG5 patients respectively showed to be SC/NE-like. More than 80% of these patients are genomically high-risk based on Decipher score. Interrogating in vitro drug sensitivity analyses, SC/NE-like prostatic tumors showed higher response to PARP and HDAC inhibitors.

Recurrent tumor-specific regulation of alternative polyadenylation of cancer-related genes.

BACKGROUND: Alternative polyadenylation (APA) results in messenger RNA molecules with different 3' untranslated regions (3' UTRs), affecting the molecules' stability, localization, and translation. APA is pervasive and implicated in cancer. Earlier reports on APA focused on 3' UTR length modifications and commonly characterized APA events as 3' UTR shortening or lengthening. However, such characterization oversimplifies the processing of 3' ends of transcripts and fails to adequately describe the various scenarios we observe. RESULTS: We built a cloud-based targeted de novo transcript assembly and analysis pipeline that incorporates our previously developed cleavage site prediction tool, KLEAT. We applied this pipeline to elucidate the APA profiles of 114 genes in 9939 tumor and 729 tissue normal samples from The Cancer Genome Atlas (TCGA). The full set of 10,668 RNA-Seq samples from 33 cancer types has not been utilized by previous APA studies. By comparing the frequencies of predicted cleavage sites between normal and tumor sample groups, we identified 77 events (i.e. gene-cancer type pairs) of tumor-specific APA regulation in 13 cancer types; for 15 genes, such regulation is recurrent across multiple cancers. Our results also support a previous report showing the 3' UTR shortening of FGF2 in multiple cancers. However, over half of the events we identified display complex changes to 3' UTR length that resist simple classification like shortening or lengthening. CONCLUSIONS: Recurrent tumor-specific regulation of APA is widespread in cancer. However, the regulation pattern that we observed in TCGA RNA-seq data cannot be described as straightforward 3' UTR shortening or lengthening. Continued investigation into this complex, nuanced regulatory landscape will provide further insight into its role in tumor formation and development.

Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival.

Somatic missense mutations can initiate tumorogenesis and, conversely, anti-tumor cytotoxic T cell (CTL) responses. Tumor genome analysis has revealed extreme heterogeneity among tumor missense mutation profiles, but their relevance to tumor immunology and patient outcomes has awaited comprehensive evaluation. Here, for 515 patients from six tumor sites, we used RNA-seq data from The Cancer Genome Atlas to identify mutations that are predicted to be immunogenic in that they yielded mutational epitopes presented by the MHC proteins encoded by each patient's autologous HLA-A alleles. Mutational epitopes were associated with increased patient survival. Moreover, the corresponding tumors had higher CTL content, inferred from CD8A gene expression, and elevated expression of the CTL exhaustion markers PDCD1 and CTLA4. Mutational epitopes were very scarce in tumors without evidence of CTL infiltration. These findings suggest that the abundance of predicted immunogenic mutations may be useful for identifying patients likely to benefit from checkpoint blockade and related immunotherapies.

APELA promotes tumour growth and cell migration in ovarian cancer in a p53-dependent manner.

OBJECTIVE: APELA is a small, secreted peptide that can function as a ligand for the G-protein coupled receptor, Apelin Receptor (APLNR, APJ). APELA plays an essential role in endoderm differentiation and cardiac development during embryogenesis. We investigated whether APELA exerts any functions in cancer progression. METHODS: The Cancer Genome Atlas (TCGA) RNA sequencing datasets, microarray from an OCCC mouse model, and RNA isolated from fresh frozen and FFPE patient tissue were used to assess APELA expression. APELA knockout ovarian clear cell carcinoma (OCCC) cell lines were generated using CRISPR/Cas9. RESULTS: APELA was expressed in various ovarian cancer histotypes and was especially elevated in OCCC. Disruption of APELA expression in OCCC cell lines suppressed cell growth and migration, and altered cell-cycle progression. Moreover, addition of human recombinant APELA peptide to the OCCC cell line OVISE promoted cell growth and migration. Interestingly, OVISE cells do not express APLNR, suggesting that APELA can function through an APLNR-independent pathway. Furthermore, APELA affected cell growth and cell cycle progression in a p53-dependent manner. In addition, APELA knockdown induced p53 expression in cancer cell lines. CONCLUSIONS: Our findings uncover a potential oncogenic role for APELA in promoting ovarian tumour progression and provide a possible therapeutic strategy in ovarian cancer by targeting APELA.

Alignment of molecular subtypes across multiple bladder cancer subtyping classifiers.

BACKGROUND: Treatment of patients with muscle-invasive bladder cancer (MIBC) includes cisplatin-based neoadjuvant chemotherapy (NAC) followed by radical cystectomy (RC). Molecular subtypes have been associated with patient outcomes after NAC and RC, but the reported results have been highly inconsistent. OBJECTIVE: To evaluate the association of molecular subtypes from different classifiers with overall survival (OS) among patients with MIBC who underwent RC. MATERIALS AND METHODS: We analyzed gene expression data generated from transurethral resection of MIBC from a previously assembled and published meta-cohort, NACmeta (N = 601, 247 treated with NAC+RC and 354 RC without NAC), where extended follow-up was available. Molecular subtypes were assigned using the Genomic Subtyping Classifier (GSC), the Consensus Classifier, The Cancer Genome Atlas (TCGA) Classifier, and the Lund Classifier. For survival analysis, inverse probability weighting was used to balance the clinical NAC and non-NAC patient groups. RESULTS: A high consistency in gene expression patterns and nomenclature was observed between luminal-like subtypes, defined as GSC-Luminal, Consensus-Luminal Papillary (LumP), TCGA Luminal-Papillary (LumP) and Lund-UroA, but not for basal-like subtypes such GSC-Basal, Consensus Basal/Squamous, TCGA-Basal/Squamous and Lund-Basal/Squamous. Patients with luminal-like subtypes demonstrated no difference in 3-year OS when treated with or without NAC (P = 0.7 for GSC, P = 0.94 for Consensus, P = 0.87 for TCGA and P = 0.66 for Lund-UroA, respectively). CONCLUSION: Luminal-like molecular subtypes identify a subgroup of MIBC patients who do not appear to benefit from current NAC regimens, even for locally advanced disease. In addition, we were able to illustrate differences in subtyping nomenclature that are not reflected in the underlying biological definition of the subtypes. PATIENT SUMMARY: Muscle-invasive bladder cancer exhibits molecular diversity, and various classifications identify different groups who do not benefit from chemotherapy. On the other hand, there is a high inconsistency in the way cancer groupings are named.

Optimizing the Use of Next-Generation Sequencing Assays in Patients With Urothelial Carcinoma: Recommendations by the 2023 San Raffaele Retreat Panel.

BACKGROUND: The application of precision medicine in clinical practice implies a thorough evaluation of actionable genomic alterations to streamline therapeutic decision making. Comprehensive genomic profiling of tumor via next-generation sequencing (NGS) represents a great opportunity but also several challenges. During the 2023 San Raffaele Retreat, we aimed to provide expert recommendations for the optimal use of NGS in urothelial carcinoma (UC). MATERIALS AND METHODS: A modified Delphi method was utilized, involving a panel of 12 experts in UC from European and United States centers, including oncologists, urologists, pathologists, and translational scientists. An initial survey, conducted before the meeting, delivered 15 statements to the panel. A consensus was defined when ≥70% agreement was reached for each statement. Statements not meeting the consensus threshold were discussed during the meeting. RESULTS: Nine of the 15 statements covering patient selection, cancer characteristics, and type of NGS assay, achieved a consensus during the survey. The remaining six statements addressing the optimal timing of NGS use, the ideal source of tumor biospecimen for NGS testing, and the subsequent need to evaluate the germline nature of certain genomic findings were discussed during the meeting, leading to unanimous agreement at the end of the conference. CONCLUSION: This consensus-building effort addressed multiple unanswered questions regarding the use of NGS in UC. The opinion of experts was in favor of broader use of NGS. In a setting where recommendations/guidelines may be limited, these insights may aid clinicians to provide informed counselling and raise the bar of precision and personalized therapy.

Genomic Tumor Correlates of Clinical Outcomes Following Organ-Sparing Chemoradiation Therapy for Bladder Cancer.

PURPOSE: There is an urgent need for biomarkers of radiation response in organ-sparing therapies. Bladder preservation with trimodality therapy (TMT), consisting of transurethral tumor resection followed by chemoradiation, is an alternative to radical cystectomy for muscle-invasive bladder cancer (MIBC), but molecular determinants of response are poorly understood. EXPERIMENTAL DESIGN: We characterized genomic and transcriptomic features correlated with long-term response in a single institution cohort of patients with MIBC homogeneously treated with TMT. Pretreatment tumors from 76 patients with MIBC underwent whole-exome sequencing; 67 underwent matched transcriptomic profiling. Molecular features were correlated with clinical outcomes including modified bladder-intact event-free survival (mBI-EFS), a composite endpoint that reflects long-term cancer control with bladder preservation. RESULTS: With a median follow-up of 74.6 months in alive patients, 37 patients had favorable long-term response to TMT while 39 had unfavorable long-term response. Tumor mutational burden was not associated with outcomes after TMT. DNA damage response gene alterations were associated with improved locoregional control and mBI-EFS. Of these alterations, somatic ERCC2 mutations stood out as significantly associated with favorable long-term outcomes; patients with ERCC2 mutations had significantly improved mBI-EFS [HR, 0.15; 95% confidence interval (CI), 0.06-0.37; P = 0.030] and improved BI-EFS, an endpoint that includes all-cause mortality (HR, 0.33; 95% CI, 0.15-0.68; P = 0.044). ERCC2 mutant bladder cancer cell lines were significantly more sensitive to concurrent cisplatin and radiation treatment in vitro than isogenic ERCC2 wild-type cells. CONCLUSIONS: Our data identify ERCC2 mutation as a candidate biomarker associated with sensitivity and long-term response to chemoradiation in MIBC. These findings warrant validation in independent cohorts.

Aberrant expression of long noncoding RNAs in cervical intraepithelial neoplasia.

OBJECTIVE: Long noncoding RNAs (lncRNAs) are a unique class of messenger RNA-like transcripts of at least 200 nucleotides in length with no significant protein-coding capacity. Aberrant lncRNA expression is emerging as a major component of the cancer transcriptome. Here, we sought to determine if differential lncRNA expression is a feature of the human cervical intraepithelial neoplasia (CIN) transcriptome. METHODS: Sequence data were derived from 16 long serial analyses of gene expression (L-SAGE) libraries constructed from cervical specimens representing mild (CIN1), moderate (CIN2), and severe (CIN3) histopathologic grades of CIN. A novel lncRNA discovery pipeline was developed to query the expression of lncRNAs within the SAGE data sets. RESULTS: A total of 2,230,370 sequence tags were delineated from the 16 SAGE libraries, representing the expression of 367,482 unique tags at varying abundance. Using a novel stepwise filtering strategy, we analyzed the cervical SAGE libraries and identified the expression profiles of 1056 lncRNAs in the human cervix. We present the first lncRNA expression profile derived from nonneoplastic cervical tissue and establish that changes in lncRNA expression do occur in cervical intraepithelial lesions. Our analysis also shows statistically significant aberrant expression of lncRNAs in the 3 CIN grades, suggesting that these unique noncoding RNA transcripts may contribute to the development and progression of precursor lesions. CONCLUSIONS: Through the analysis of L-SAGE libraries constructed from cervical specimens, we provide the first lncRNA expression profile of the cervix and demonstrate aberrant expression in early-stage neoplasia.

Uroplakin II as a single marker for luminal versus basal molecular subtypes in muscle invasive urothelial carcinoma.

Bladder cancer is a heterogeneous disease classified into two broad molecular subtype categories, basal and luminal, with critical treatment and prognostic implications. Recent studies have shown the utility of immunohistochemistry in predicting bladder cancer molecular subtypes, with a two-marker approach using GATA3 and CK5/6 showing over 80% reliability. In the current study, we calculated the accuracy of uroplakin II (UPII), a marker of urothelial differentiation, with different scores (0: <1%, 1+: 1-10%, 2+: 10-50%, 3+: >50%) to predict RNA-based luminal versus basal subtypes in a cohort of muscle-invasive bladder cancer-received neoadjuvant chemotherapy followed by radical cystectomy. The 1% cutoff of the UPII stain predicts the luminal subtype with the sensitivity and specificity of 95% and 56%, respectively. With a UPII cutoff of 10%, the sensitivity and specificity were 93% and 81%, respectively, and with a UPII cutoff of 50%, the sensitivity and specificity were 91% and 96%, respectively. The prediction performance of UPII was better than either GATA3 or CK5/6. There was no significant difference in prognoses between UPII 0-2+ and UPII 3+ patients in this cohort. The current study shows that evaluating the staining proportion score of UPII can accurately predict basal and luminal subtypes of muscle-invasive bladder cancer.

Molecular tumor heterogeneity in muscle invasive bladder cancer: Biomarkers, subtypes, and implications for therapy.

BACKGROUND: Despite years of slow progress, muscle invasive bladder cancer (MIBC) is finally entering the era of molecularly guided targeted therapy. However, tumor heterogeneity is high in MIBC and may impact treatment response and resistance. The objective of this review is to dissect recent insights into inter- and intratumor heterogeneity (ITH) in MIBC, with emphasis on the clinical implications of this heterogeneity for biomarker-driven strategies and the development of new therapies. METHODS: A nonsystematic review was performed in PubMed and EMBASE using the terms "tumor heterogeneity" and "bladder cancer." RESULTS: Intertumor heterogeneity, as reflected by different clinical phenotypes in different patients, has been partially explained with next generation sequencing and other molecular profiling technologies. RNA-based molecular subtyping, for example, provides a classification of MIBC into distinct categories that can be used for further molecular analysis, biomarker discovery, risk stratification, and treatment selection. Molecular subtyping and specific genomic alterations, especially in DNA damage repair genes, may help explain why some patients respond better to systemic chemotherapy and immunotherapy. Conversely, spatial and temporal ITH threaten to confound attempts to target specific molecular lesions since not all tumor cells within a patient may carry the relevant lesion. Improved understanding and management of ITH is required for the most effective use of biomarker-driven targeted therapies. CONCLUSION: Strategies to assess and overcome intertumor and ITH in MIBC will be critical steps toward realizing the objectives of precision oncology. Novel techniques such as analysis of circulating tumor DNA and single cell sequencing are likely to revolutionize our understanding of tumor heterogeneity.

Transcriptomic Features of Cribriform and Intraductal Carcinoma of the Prostate.

BACKGROUND: Cribriform (CF) and/or intraductal carcinoma (IDC) are associated with more aggressive prostate cancer (CaP) and worse outcomes. OBJECTIVE: The transcriptomic features that typify CF/IDC are not well described and the capacity for clinically utilized genomic classifiers to improve risk modeling for CF/IDC remains undefined. DESIGN, SETTING, AND PARTICIPANTS: We performed a retrospective review of CaP patients who had Decipher testing at a single high-volume institution. Index lesions from radical prostatectomy specimens were identified by genitourinary pathologists who simultaneously reviewed prostatectomy specimens for the presence of CF and IDC features. Patients were grouped based on pathologic features, specifically the absence of CF/IDC (CF-/IDC-), CF positive only (CF+/IDC-), and CF/IDC positive (CF+/IDC+). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Clinical, pathologic, and genomic categorical variables were assessed using the Pearson chi-square test, while quantitative variables were assessed with the Kruskal-Wallis test. Multivariable logistic regression was used to identify the predictors of high-risk Decipher scores (>0.60). A gene set enrichment analysis was performed to identify genes and gene networks associated with CF/IDC status. RESULTS AND LIMITATIONS: A total of 463 patients were included. Patients who were CF+/IDC+ had the highest Decipher risk scores (CF+/IDC+: 0.79 vs CF+/IDC-: 0.71 vs CF-/IDC-: 0.56, p < 0.001). On multivariate logistic regression, predictors of high-risk Decipher scores included the presence of CF, both alone (CF+/IDC-; odds ratio [OR]: 5.45, p < 0.001) or in combination with positive IDC status (CF+/IDC+; OR: 6.87, p < 0.001). On the gene set enrichment analysis, MYC pathway upregulation was significantly enriched in tumor samples from CF/IDC-positive patients (normalized enrichment score [NES]: 1.65, p = 0.046). Other enriched pathways included E2F targets (NES: 1.69, p = 0.031) and oxidative phosphorylation (NES: 1.68, =0 .033). CONCLUSIONS: This is the largest series identifying an association between a clinically validated genomic classifier and the presence of CF and IDC at radical prostatectomy. Tumors with CF and intraductal features were associated with aggressive transcriptomic signatures. PATIENT SUMMARY: Genomic-based tests are becoming readily available for the management of prostate cancer. We observed that Decipher, a commonly used genomic test in prostate cancer, correlates with unfavorable features in tissue specimens.