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AI in Cancer Research / AI+癌症研究Cancer Genomics & Evolution

Peter Campbell

彼得·坎贝尔

MBBS, PhD, FRCPath

🏢Wellcome Sanger Institute(维康桑格研究所)🌐UK

Head of Cancer, Ageing and Somatic Mutation Program癌症、衰老与体细胞突变项目负责人

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Peter Campbell is Head of the Cancer, Ageing and Somatic Mutation (CASM) programme at the Wellcome Sanger Institute. He leads one of the world's most productive cancer genome groups, which has characterized the genomic landscapes of dozens of cancer types at unprecedented scale and depth. Campbell's group made landmark contributions to the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium — the largest whole-genome cancer study ever conducted, analyzing 2,658 cancer genomes across 38 cancer types. His work revealed the timing of mutations during cancer development, showing most driver mutations accumulate years to decades before diagnosis. His laboratory developed the mathematical framework for identifying mutational signatures — patterns of mutations caused by specific DNA damage processes (e.g., APOBEC, BRCA deficiency, tobacco) — which has transformed understanding of cancer causes and opened new diagnostic and therapeutic opportunities.

Peter Campbell 是维康桑格研究所癌症、衰老与体细胞突变(CASM)计划的负责人。他领导着世界上最多产的癌症基因组研究组之一,以前所未有的规模和深度表征了数十种癌症类型的基因组全景。 Campbell的团队为泛癌症全基因组分析(PCAWG)联盟做出了里程碑式贡献——有史以来规模最大的全基因组癌症研究,分析了38种癌症类型的2,658个癌症基因组。他的工作揭示了癌症发展过程中突变的时序,表明大多数驱动突变在诊断前数年至数十年就已积累。

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🧪Research Fields 研究领域

Cancer Genome Landscape癌症基因组全景
Somatic Mutation & Clonal Evolution体细胞突变与克隆进化
PCAWG Pan-Cancer AnalysisPCAWG泛癌症分析
Mutational Signatures突变特征
Cancer Clonal Architecture癌症克隆结构

🎓Key Contributions 主要贡献

PCAWG Pan-Cancer Whole Genome Analysis

Led major contributions to PCAWG — the analysis of 2,658 cancer genomes revealing mutational processes, driver gene landscapes, non-coding mutations, and evolutionary timing across 38 cancer types. The most comprehensive cancer genome resource available.

Mutational Signatures Framework

Developed mathematical framework (SigProfiler/COSMIC) for decomposing cancer mutations into signatures caused by specific mutagenic processes (APOBEC, MMR deficiency, BRCA deficiency, aging). COSMIC Mutational Signatures is the global reference.

Cancer Evolution Timing Analysis

Showed that driver mutations in many cancers accumulate years to decades before diagnosis, with implications for cancer prevention windows and early detection opportunities.

Clonal Hematopoiesis & Blood Cancer Origins

Characterized the clonal evolution of hematopoietic stem cells during aging and the transition to blood cancers, establishing clonal hematopoiesis as a precursor state and risk factor.

Representative Works 代表性著作

[1]

The repertoire of mutational signatures in human cancer

Nature (2020)

PCAWG signatures analysis identifying 49 single base substitution signatures across 2,658 cancer genomes — the definitive mutational signatures reference.

[2]

Pan-cancer analysis of whole genomes

Nature (2020)

PCAWG flagship paper describing the comprehensive genomic landscape of 2,658 cancer whole genomes across 38 tumor types.

[3]

Somatic mutations in aging human blood reveal widespread age-related clonal expansions

Nature Genetics (2014)

First comprehensive study showing that clonal hematopoiesis is nearly universal in elderly individuals, establishing it as a cancer risk factor.

🏆Awards & Recognition 奖项与荣誉

🏆Francis Crick Award (Royal Society)
🏆Sanger Prize
🏆CRUK Outstanding Achievement Award
🏆European Hematology Association Young Investigator Award

📄Data Sources 数据来源

Last updated: 2026-04-05 | All information from publicly available academic sources

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