ArticleNature communications2015
Systematic pan-cancer analysis of tumour purity.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 781 papers.
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.
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Who cites it
781 citing papers in PubMed.
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- Chronic interferon signaling at baseline is associated with acquired resistance to immunotherapy in metastatic melanoma.Cell reports. Medicine · 2026Article
- A chromatin-informed transcriptional regulatory framework to stratify patients and guide therapy selection in triple-negative breast cancer.Nature communications · 2026Article
- Candidate MicroRNA Regulatory Axes in Melanoma CD8+ T Cell Exhaustion: A Network-Based In Silico Stratification.Cureus · 2026Article
- Integrated multiomic profiling reveals 2 distinct splenic marginal zone lymphoma subgroups with prognostic relevance.Blood advances · 2026Article
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.Nature communications · 2026Article
721 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
The tumour microenvironment is the non-cancerous cells present in and around a tumour, including mainly immune cells, but also fibroblasts and cells that comprise supporting blood vessels. These non-cancerous components of the tumour may play an important role in cancer biology. They also have a strong influence on the genomic analysis of tumour samples, and may alter the biological interpretation of results. Here we present a systematic analysis using different measurement modalities of tumour purity in >10,000 samples across 21 cancer types from the Cancer Genome Atlas. Patients are stratified according to clinical features in an attempt to detect clinical differences driven by purity levels. We demonstrate the confounding effect of tumour purity on correlating and clustering tumours with transcriptomics data. Finally, using a differential expression method that accounts for tumour purity, we find an immunotherapy gene signature in several cancer types that is not detected by traditional differential expression analyses.
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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.