ArticleNature2013
Mutational heterogeneity in cancer and the search for new cancer-associated genes.
Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 3,267 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Randomized Phase II Study Evaluating Pembrolizumab vs Topotecan in the Second-Line Treatment of Patients With Small Cell Lung Cancer
Cabozantinib Plus Durvalumab in Patients With Advanced and Chemotherapy-treated Bladder Carcinoma, of Urothelial and Non-urothelial Histology: an Open-label, Single-centre, Phase 2, Single-arm Proof-of-concept Trial: ARCADIA Study
Molecular Classification in Relation to Prevention of Endometrial Cancer Recurrence and Lifestyle Factors
Who cites it
3,267 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5,657 citations in OpenAlex.
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3,207 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
64 authors at 12 institutions in 4 countries.
Funding
Abstract
Major international projects are underway that are aimed at creating a comprehensive catalogue of all the genes responsible for the initiation and progression of cancer. These studies involve the sequencing of matched tumour-normal samples followed by mathematical analysis to identify those genes in which mutations occur more frequently than expected by random chance. Here we describe a fundamental problem with cancer genome studies: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds. The list includes many implausible genes (such as those encoding olfactory receptors and the muscle protein titin), suggesting extensive false-positive findings that overshadow true driver events. We show that this problem stems largely from mutational heterogeneity and provide a novel analytical methodology, MutSigCV, for resolving the problem. We apply MutSigCV to exome sequences from 3,083 tumour-normal pairs and discover extraordinary variation in mutation frequency and spectrum within cancer types, which sheds light on mutational processes and disease aetiology, and in mutation frequency across the genome, which is strongly correlated with DNA replication timing and also with transcriptional activity. By incorporating mutational heterogeneity into the analyses, MutSigCV is able to eliminate most of the apparent artefactual findings and enable the identification of genes truly associated with cancer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.