Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas
Lawrence A. Donehower,
Thierry Soussi,
Anil Korkut,
Yuexin Liu,
Andre Schultz,
Maria Cardenas,
Xubin Li,
Ozgun Babur,
Teng-Kuei Hsu,
Olivier Lichtarge,
John N. Weinstein,
Rehan Akbani,
David A. Wheeler
Affiliations
Lawrence A. Donehower
Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA; Corresponding author
Thierry Soussi
Sorbonne Université, UPMC University Paris 06, 75005 Paris, France; Department of Oncology-Pathology, Cancer Center Karolinska (CCK), Karolinska Institutet, Stockholm, Sweden; INSERM, U1138, Équipe 11, Centre de Recherche des Cordeliers, Paris, France
Anil Korkut
Department of Bioinformatics and Computational Biology, Division of Science, M.D. Anderson Cancer Center, Houston, TX 77030, USA
Yuexin Liu
Department of Bioinformatics and Computational Biology, Division of Science, M.D. Anderson Cancer Center, Houston, TX 77030, USA
Andre Schultz
Department of Bioinformatics and Computational Biology, Division of Science, M.D. Anderson Cancer Center, Houston, TX 77030, USA
Maria Cardenas
Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
Xubin Li
Department of Bioinformatics and Computational Biology, Division of Science, M.D. Anderson Cancer Center, Houston, TX 77030, USA
Ozgun Babur
Computational Biology Program, Oregon Health and Science University, Portland, OR 97239, USA
Teng-Kuei Hsu
Department of Biochemistry & Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA
Olivier Lichtarge
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX 77030, USA
John N. Weinstein
Department of Bioinformatics and Computational Biology, Division of Science, M.D. Anderson Cancer Center, Houston, TX 77030, USA
Rehan Akbani
Department of Bioinformatics and Computational Biology, Division of Science, M.D. Anderson Cancer Center, Houston, TX 77030, USA
David A. Wheeler
Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
Summary: The TP53 tumor suppressor gene is frequently mutated in human cancers. An analysis of five data platforms in 10,225 patient samples from 32 cancers reported by The Cancer Genome Atlas (TCGA) enables comprehensive assessment of p53 pathway involvement in these cancers. More than 91% of TP53-mutant cancers exhibit second allele loss by mutation, chromosomal deletion, or copy-neutral loss of heterozygosity. TP53 mutations are associated with enhanced chromosomal instability, including increased amplification of oncogenes and deep deletion of tumor suppressor genes. Tumors with TP53 mutations differ from their non-mutated counterparts in RNA, miRNA, and protein expression patterns, with mutant TP53 tumors displaying enhanced expression of cell cycle progression genes and proteins. A mutant TP53 RNA expression signature shows significant correlation with reduced survival in 11 cancer types. Thus, TP53 mutation has profound effects on tumor cell genomic structure, expression, and clinical outlook. : Donehower et al. performed a comprehensive analysis of the effects of TP53 gene mutation in 32 cancer types and 10,225 patients from The Cancer Genome Atlas (TCGA). Data synthesized from five different analysis platforms show how mutant TP53 increases genomic instability and induces major pathway signaling changes in cancer cells. Keywords: TP53, TP53 mutation, p53, TCGA, The Cancer Genome Atlas, PanCanAtlas, p53 signaling pathway, chromosomal instability, p53 signature, p53 targets