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Martin Peifer

Researcher at University of Cologne

Publications -  128
Citations -  23369

Martin Peifer is an academic researcher from University of Cologne. The author has contributed to research in topics: Cancer & Biology. The author has an hindex of 50, co-authored 107 publications receiving 18206 citations. Previous affiliations of Martin Peifer include Miami University & University of Freiburg.

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Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

Eric A. Collisson, +318 more
- 01 Jan 2014 - 
TL;DR: In this paper, the authors report molecular profiling of 230 resected lung adnocarcinomas using messenger RNA, microRNA and DNA sequencing integrated with copy number, methylation and proteomic analyses.
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Comprehensive genomic characterization of squamous cell lung cancers

Peter S. Hammerman, +345 more
- 27 Sep 2012 - 
TL;DR: It is shown that the tumour type is characterized by complex genomic alterations, with a mean of 360 exonic mutations, 165 genomic rearrangements, and 323 segments of copy number alteration per tumour.
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Pan-cancer analysis of whole genomes

Peter J. Campbell, +1332 more
- 06 Feb 2020 - 
TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.
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Comprehensive genomic profiles of small cell lung cancer

Julie George, +95 more
- 06 Aug 2015 - 
TL;DR: This first comprehensive study of somatic genome alterations in SCLC uncovers several key biological processes and identifies candidate therapeutic targets in this highly lethal form of cancer.
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Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer

Martin Peifer, +94 more
- 01 Oct 2012 - 
TL;DR: This study implicates histone modification as a major feature of SCLC, reveals potentially therapeutically tractable genomic alterations and provides a generalizable framework for the identification of biologically relevant genes in the context of high mutational background.