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Objectives: To evaluate variant histologies (VHs) for disease‐specific survival (DSS) in patients with invasive urothelial bladder cancer (BCa) undergoing radical cystectomy (RC). Materials and Methods: We analysed a multi‐institutional cohort of 1082 patients treated with upfront RC for cT1‐4aN0M0 urothelial BCa at eight centres. Univariable and multivariable Cox' regression analyses were used to assess the effect of different VHs on DSS in overall cohort and three stage‐based analyses. The stages were defined as 'organ‐confined' (≤pT2N0), 'locally advanced' (pT3‐4N0) and 'node‐positive' (pTanyN1‐3). Results: Overall, 784 patients (72.5%) had pure urothelial carcinoma (UC), while the remaining 298 (27.5%) harboured a VH. Squamous differentiation was the most common VH, observed in 166 patients (15.3%), followed by micropapillary (40 patients [3.7%]), sarcomatoid (29 patients [2.7%]), glandular (18 patients [1.7%]), lymphoepithelioma‐like (14 patients [1.3%]), small‐cell (13 patients [1.2%]), clear‐cell (eight patients [0.7%]), nested (seven patients [0.6%]) and plasmacytoid VH (three patients [0.3%]). The median follow‐up was 2.3 years. Overall, 534 (49.4%) disease‐related deaths occurred. In uni‐ and multivariable analyses, plasmacytoid and small‐cell VHs were associated with worse DSS in the overall cohort (both P = 0.04). In univariable analyses, sarcomatoid VH was significantly associated with worse DSS, while lymphoepithelioma‐like VH had favourable DSS compared to pure UC. Clear‐cell (P = 0.015) and small‐cell (P = 0.011) VH were associated with worse DSS in the organ‐confined and node‐positive cohorts, respectively. Conclusions: More than 25% of patients harboured a VH at time of RC. Compared to pure UC, clear‐cell, plasmacytoid, small‐cell and sarcomatoid VHs were associated with worse DSS, while lymphoepithelioma‐like VH was characterized by a DSS benefit. Accurate pathological diagnosis of VHs may ensure tailored counselling to identify patients who require more intensive management. [ABSTRACT FROM AUTHOR]

Introduction: Mutations in the TP53 gene are indicative of worse outcome in bladder cancer and are usually assessed by immunohistochemistry. To define p53-overexpression, a threshold of >10% is most commonly used (cut-off1). Recently, a novel cut-off (aberrant = 0% or ≥50%) (cut-off2) showed better correlation to clinical outcome. In this study, we evaluate the association between p53-immunohistochemistry cut-offs, clinico-pathological variables and disease-specific survival (DSS). Methods: Seven-hundred-fifty chemotherapy-naïve patients who underwent radical cystectomy were included (92% muscle-invasive bladder cancer. In addition to cut-off1 and cut-off2, a third cut-off (cut-off3) was determined based on the highest Youden-index value. Cut-off values were associated with clinico-pathological variables and FGFR3 mutation status. The Kaplan-Meier method was used to estimate DSS. Results: Aberrant p53-expression was found in 489 (65%) (cut-off1) and 466 (62%) (cut-off2) tumors. Cut-off3 was determined at 25% and aberrant p53-expression in 410 cases (55%) (cutoff3). p53-expression levels were significantly associated with higher pT-stage (cut-off1/2/3: P = 0.047, P = 0.006 and P = 0.0002, respectively), higher grade (all, P < 0.0001), and FGFR3 wild-type (cut-off1: P = 0.02, cut-offs2&3: P = 0.001). Median follow-up was 5.3 years (interquartile range, 4.0-6.0 years). p53-expression was not associated with DSS for any of the three cut-offs (cut-off1/2/3: P-log-rank = 0.566, 0.77 and 0.50, respectively). If we only considered locally advanced bladder cancer, results on DSS remained non-significant. Conclusion: This multi-center, multi-laboratory study showed that, regardless of the cut-off used, p53-immunohistochemistry did not enable selection of patients with worse outcome. Our results suggest that p53-immunohistochemistry alone is not suitable to guide clinical decision making after radical cystectomy. [ABSTRACT FROM AUTHOR]

Simple Summary: Ovarian cancer is the deadliest gynecological cancer in developed countries of which high-grade serous ovarian carcinoma (HGSOC) is the most common subtype. How the tumor's genetic characteristics are associated with the tissue surrounding the tumor; the tumor microenvironment (TME), is incompletely understood. Our study assessed the TME and genetic profiles of HGSOC and their associations with survival. 347 patients with HGSOC were categorized in the following profiles: BRCA mutation (BRCAm) (30%), non-BRCA mutated homologous recombination deficiency(HRD) (19%), CCNE1-amplification (13%), non-BRCAmut HRD and CCNE1-amplification (double classifier) (20%), and no specific molecular profile (NSMP) (18%). BRCAm profile showed the best survival and CCNE1 and double classifier the worst. Higher immune cell densities showed a favorable survival, also within the molecular profiles. Furthermore, immune cell densities differed per molecular profile with BRCAm profile tumors showing the highest and CCNE1 lowest densities. Our study showed that HGSOC is not one group but is grouped by different molecular profiles and TME. Background: How molecular profiles are associated with tumor microenvironment (TME) in high-grade serous ovarian cancer (HGSOC) is incompletely understood. Therefore, we analyzed the TME and molecular profiles of HGSOC and assessed their associations with overall survival (OS). Methods: Patients with advanced-stage HGSOC treated in three Dutch hospitals between 2008–2015 were included. Patient data were collected from medical records. BRCA1/2 mutation, BRCA1 promotor methylation analyses, and copy number variations were used to define molecular profiles. Immune cells were assessed with immunohistochemical staining. Results: 348 patients were categorized as BRCA mutation (BRCAm) (BRCAm or promotor methylation) (30%), non-BRCA mutated HRD (19%), Cyclin E1 (CCNE1)-amplification (13%), non-BRCAmut HRD and CCNE1-amplification (double classifier) (20%), and no specific molecular profile (NSMP) (18%). BRCAm showed highest immune cell densities and CCNE1-amplification lowest. BRCAm showed the most favorable OS (52.5 months), compared to non-BRCAmut HRD (41.0 months), CCNE1-amplification (28.0 months), double classifier (27.8 months), and NSMP (35.4 months). Higher immune cell densities showed a favorable OS compared to lower, also within the profiles. CD8+, CD20+, and CD103+ cells remained associated with OS in multivariable analysis. Conclusions: Molecular profiles and TME are associated with OS. TME differs per profile, with higher immune cell densities showing a favorable OS, even within the profiles. HGSOC does not reflect one entity but comprises different entities based on molecular profiles and TME. [ABSTRACT FROM AUTHOR]

The host's immune system plays a pivotal role in many tumor types, including squamous cell carcinomas (SCCs). We aim to identify immunological prognosticators for lymph node metastases (LNM) and disease-specific survival (DSS) in penile SCC. For this retrospective observational cohort study, penile SCC patients (n = 213) treated in the Netherlands Cancer Institute, were selected if sufficient formalin-fixed, paraffinembedded tumor material was available. Analysis included previously described highrisk human papilloma virus (hrHPV) status, immunohistochemical scores for classical and non-classical human leukocyte antigen (HLA) class I, programmed death ligand-1 (PD-L1) expression, and novel data on tumor-infiltrating macrophages and cytotoxic an regulatory T-cells. Clinicopathological characteristics and extended follow-up were also included. Regression analyses investigated relationships of the immune parameters with LNM and DSS. In the total cohort, diffuse PD-L1 tumor-cell expression, CD163+ macrophage infiltration, non-classical HLA class I upregulation, and low stromal CD8+ T-cell infiltration were all associated with LNM. In the multivariable model, only tumor PD-L1 expression remained a significant predictor for LNM (odds ratio (OR) 2.8, p = 0.05). hrHPV negativity and diffuse PD-L1 tumor-cell expression were significantly associated with poor DSS and remained so upon correction for clinical parameters [hazard ratio (HR) 9.7, p < 0.01 and HR 2.8, p = 0.03]. The only immune factor with different expression in HPV+ and HPV- tumors was PD-L1, with higher PD-L1 expression in the latter (p = 0.03). In the HPV- cohort (n = 158), LNM were associated with diffuse PD-L1 tumor-cell expression, high intratumoral CD163+ macrophage infiltration, and low number of stromal CD8+ T-cells. The first two parameters were also linked to DSS. In the multivariable regression model, diffuse PD-L1 expression remained significantly unfavorable for DSS (HR 5.0, p < 0.01). These results emphasize the complexity of the tumor microenvironment in penile cancer and point toward several possible immunotherapy targets. Here described immune factors can aid risk-stratification and should be evaluated in clinical immunotherapy studies to ultimately lead to patient tailored treatment. [ABSTRACT FROM AUTHOR]

Better stratification of patients with stage II and stage III colon cancer for risk of recurrence is urgently needed. The present study aimed to validate the prognostic value of CDX2 protein expression in colon cancer tissue by routine immunohistochemistry and to evaluate its performance in a head-to-head comparison with tandem mass spectrometry–based proteomics. CDX2 protein expression was evaluated in 386 stage II and III primary colon cancers by immunohistochemical staining of tissue microarrays and by liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis using formalin-fixed paraffin-embedded tissue sections of a matched subset of 23 recurrent and 23 non-recurrent colon cancers. Association between CDX2 expression and disease-specific survival (DSS) was investigated. Low levels of CDX2 protein expression in stage II and III colon cancer as determined by immunohistochemistry was associated with poor DSS (hazard ratio [HR] = 1.97 (95% confidence interval [CI]: 1.26–3.06); p = 0.002). Based on analysis of a selected sample subset, CDX2 prognostic value was more pronounced when detected by LC-MS/MS (HR = 7.56 (95% CI: 2.49–22.95); p < 0.001) compared to detection by immunohistochemistry (HR = 1.60 (95% CI: 0.61–4.22); p = 0.34). This study validated CDX2 protein expression as a prognostic biomarker in stage II and III colon cancer, conform previous publications. CDX2 prognostic value appeared to be underestimated when detected by routine immunohistochemistry, probably due to the semiquantitative and subjective nature of this methodology. Quantitative analysis of CDX2 substantially improved its clinical utility as a prognostic biomarker. Therefore, development of routinely applicable quantitative assays for CDX2 expression is needed to facilitate its clinical implementation. • CDX2 is a prognostic biomarker for patients with stage II and III colon cancer. • CDX2 testing by mass spectrometry outperformed routine immunohistochemistry. • Application of quantitative assays can improve clinical utility of biomarkers. [ABSTRACT FROM AUTHOR]

Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer (IBC). Due to a lack of biomarkers able to distinguish high- from low-risk cases, DCIS is treated similar to early IBC even though the minority of untreated cases eventually become invasive. Here, we characterized 115 patient-derived mouse-intraductal (MIND) DCIS models reflecting the full spectrum of DCIS observed in patients. Utilizing the possibility to follow the natural progression of DCIS combined with omics and imaging data, we reveal multiple prognostic factors for high-risk DCIS including high grade, HER2 amplification, expansive 3D growth, and high burden of copy number aberrations. In addition, sequential transplantation of xenografts showed minimal phenotypic and genotypic changes over time, indicating that invasive behavior is an intrinsic phenotype of DCIS and supporting a multiclonal evolution model. Moreover, this study provides a collection of 19 distributable DCIS-MIND models spanning all molecular subtypes. [Display omitted] • Development of a biobank of DCIS-MIND models retaining primary features • Identification of multiple factors associated with invasive progression of DCIS • Identification of two distinct 3D growth patterns associated with outcome • Development of a collection of 19 distributable DCIS models Hutten et al. generate 115 DCIS-MIND models and characterize them with genomic, transcriptomic, and imaging data. With this biobank they identify risk factors associated with progression of ductal carcinoma in situ to invasive breast cancer and create a collection of 19 distributable DCIS models, providing a resource for further research. [ABSTRACT FROM AUTHOR]

Objectives: To determine the association between the FGFR3 mutation status and immuno-histochemistry (IHC) markers (p53 and Ki-67) in invasive bladder cancer (BC), and to analyze their prognostic value in a multicenter, multi-laboratory radical cystectomy (RC) cohort.Patients and Methods: We included 1058 cN0M0, chemotherapy-naive BC patients who underwent RC with pelvic lymph-node dissection at 8 hospitals. The specimens were reviewed by uro-pathologists. Mutations in the FGFR3 gene were examined using PCR-SNaPshot; p53 and Ki-67 expression were determined by standard IHC. FGFR3 mutation status as well as p53 (cut-off>10%) and Ki-67 (cut-off>20%) expression were correlated to clinicopathological parameters and disease specific survival (DSS).Results: pT-stage was Conclusion: The FGFR3 mutation selectively identified patients with favorable BC at RC while p53 and Ki-67 were only associated with adverse tumor characteristics. Our results suggest that, besides tumor-stage, nodal-status and LVI, the oncogenic FGFR3 mutation may represent a valuable tool to guide adjuvant treatment and follow-up strategies after RC. [ABSTRACT FROM AUTHOR]