Objective: To determine whether phosphatidylinositol-4,5-bisphosphate 3- kinase, catalytic subunit alpha (PIK3CA) copy number gain in penile cancer has prognostic value and association with histopathological parameters, human papillomavirus (HPV), and clinical outcome.
Methods: PIK3CA copy number status was assessed with fluorescence in situ hybridization in tissue microarrays generated from archival paraffin embedded blocks of 199 patients with primary penile squamous cell carcinoma (PSCC). HPV DNA was detected with INNO-LiPA assay. Follow-up data were available for 174 patients. PIK3CA copy number status was correlated with histopathological parameters, high-risk HPV, cancer-specific survival and time to recurrence.
Results: PIK3CA copy number gain was found in 84/199 (42%) of penile cancer cases. PIK3CA copy number gain was associated with tumor subtype, grade, and stage (P = .0028, P < .0001, and P = .0397, respectively), but not with lymph node status (P = .2902). PIK3CA copy number gain showed a tendency to associate with cancer-specific survival (HR = 1.76, 95% CI; 0.94-3.3; P = .0753). In multivariate analysis, PIK3CA copy number gain was found to have no prognostic value for cancer-specific survival (P = .677). Only lymph node metastasis, high tumor grade and stage were found to be independent prognostic factors for cancer-specific survival.
Conclusion: PIK3CA copy number gain could be used as a marker of high-risk disease as it correlates with more aggressive PSCC histological subtypes and higher tumor grade and stage. However, it shows no significant association with lymph node metastasis or prognostic value for cancer-specific survival in PSCC.
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http://dx.doi.org/10.1016/j.urology.2018.03.056 | DOI Listing |
Int J Mol Sci
December 2024
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Gliomas are a heterogeneous group of brain tumors, among which the most aggressive subtype is glioblastoma, accounting for 60% of cases in adults. Available systemic treatment options are few and ineffective, so new approaches to therapies for glioblastoma are in high demand. In total, 131 patients with diffuse glioma were studied.
View Article and Find Full Text PDFJ Mol Med (Berl)
December 2024
Department of Anatomical Pathology, Chang Gung Memorial Hospital at Linkou and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Squamous cell carcinoma (SCC) of the ovary, an uncommon form of gynecologic cancer, typically originates from the malignant transformation of a pre-existing mature ovarian teratoma (MOT). However, due to its rarity, the molecular pathways driving its development are not well understood. To address this knowledge gap, we performed molecular inversion probe (MIP) array analysis and targeted sequencing of 275 cancer susceptibility genes on 11 ovarian SCC samples derived from MOTs.
View Article and Find Full Text PDFMod Pathol
November 2024
Department of Pathology, Stanford University School of Medicine, Stanford, California. Electronic address:
Uterine carcinosarcomas (UCS) are high-grade biphasic neoplasms with generally poor outcomes. Based on The Cancer Genome Atlas molecular classification of endometrial carcinomas, the majority of UCS are classified as copy-number high/serous-like (p53-abnormal); however, a small subset represent other molecular subtypes, including those that harbor POLE mutations. We identified 11 POLE-mutated (POLEmut) UCS across 3 institutions and assessed the clinical, histopathologic, immunohistochemical, and molecular features of these tumors.
View Article and Find Full Text PDFmedRxiv
November 2024
City of Hope, Beckman Research Institute, Department of Integrative Translational Sciences, Duarte, CA.
Colorectal cancer contributes to cancer-related deaths and health disparities in the Hispanic and Latino community. To probe both the biological and genetic bases of the disparities, we characterized features of colorectal cancer in terms of somatic alterations and genetic similarity. Specifically, we conducted a comprehensive genome-scale analysis of 67 Hispanic and Latino samples.
View Article and Find Full Text PDFbioRxiv
November 2024
Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544.
Though somatic mutations play a critical role in driving cancer initiation and progression, the systems-level functional impacts of these mutations-particularly, how they alter expression across the genome and give rise to cancer hallmarks-are not yet well-understood, even for well-studied cancer driver genes. To address this, we designed an integrative machine learning model, Dyscovr, that leverages mutation, gene expression, copy number alteration (CNA), methylation, and clinical data to uncover putative relationships between nonsynonymous mutations in key cancer driver genes and transcriptional changes across the genome. We applied Dyscovr pan-cancer and within 19 individual cancer types, finding both broadly relevant and cancer type-specific links between driver genes and putative targets, including a subset we further identify as exhibiting negative genetic relationships.
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