scispace - formally typeset
S

Sven Wach

Researcher at University of Erlangen-Nuremberg

Publications -  127
Citations -  7904

Sven Wach is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Bladder cancer & Prostate cancer. The author has an hindex of 29, co-authored 117 publications receiving 5469 citations.

Papers
More filters
Journal ArticleDOI

Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer

A. Gordon Robertson, +170 more
- 19 Oct 2017 - 
TL;DR: An analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms identified 5 expression subtypes that may stratify response to different treatments and identified a poor-survival "neuronal" subtype in which the majority of tumors lacked small cell or neuroendocrine histology.
Journal ArticleDOI

Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

Katherine A Hoadley, +738 more
- 05 Apr 2018 - 
TL;DR: Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, Pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which may inform strategies for future therapeutic development.
Journal ArticleDOI

Genomic and Functional Approaches to Understanding Cancer Aneuploidy

Alison M. Taylor, +732 more
- 09 Apr 2018 - 
TL;DR: The genomic and phenotypic correlates of cancer aneuploidy are defined and genome engineering is applied to delete 3p in lung cells, causing decreased proliferation rescued in part by chromosome 3 duplication.
Journal ArticleDOI

Comprehensive Transcriptional Analysis of Early-Stage Urothelial Carcinoma

TL;DR: A comprehensive transcriptional analysis of 460 early-stage urothelial carcinomas revealed frequent mutations in genes encoding proteins involved in chromatin organization and cytoskeletal functions and suggested the identification of subclasses in NMIBC may offer better prognostication and treatment selection based on subclass assignment.
Journal ArticleDOI

Erratum: Comprehensive Characterization of Cancer Driver Genes and Mutations (ARTICLE (2018) 173(2) (371–385), (S009286741830237X), (10.1016/j.cell.2018.02.060))

Matthew A. Bailey, +761 more
- 09 Aug 2018 - 
TL;DR: In this article, the authors made two errors in preparation of this manuscript and corrected them in the revised Figure S7 by re-ordering the mutations by frequency for COAD and READ independently.