Journal article
Identify Non-mutational p53 Functional Deficiency in Human Cancers
- Abstract:
- An accurate assessment of p53's functional statuses is critical for cancer genomic medicine. However, there is a significant challenge in identifying tumors with non-mutational p53 inactivation which is not detectable through DNA sequencing. These undetected cases are often misclassified as p53-normal, leading to inaccurate prognosis and downstream association analyses. To address this issue, we built the support vector machine (SVM) models to systematically reassess p53's functional statuses in TP53 wild-type (TP53WT) tumors from multiple The Cancer Genome Atlas (TCGA) cohorts. Cross-validation demonstrated the good performance of the SVM models with a mean area under the receiver operating characteristic curve (AUROC) of 0.9822, precision of 0.9747, and recall of 0.9784. Our study revealed that a significant proportion (87%-99%) of TP53WT tumors actually had compromised p53 function. Additional analyses uncovered that these genetically intact but functionally impaired (termed as predictively reduced function of p53 or TP53WT-pRF) tumors exhibited genomic and pathophysiologic features akin to TP53-mutant tumors: heightened genomic instability and elevated levels of hypoxia. Clinically, patients with TP53WT-pRF tumors experienced significantly shortened overall survival or progression-free survival compared to those with predictively normal function of p53 (TP53WT-pN) tumors, and these patients also displayed increased sensitivity to platinum-based chemotherapy and radiation therapy.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 6.3MB, Terms of use)
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- Publisher copy:
- 10.1093/gpbjnl/qzae064
Authors
- Publisher:
- Oxford University Press
- Journal:
- Genomics, Proteomics and Bioinformatics More from this journal
- Volume:
- 22
- Issue:
- 5
- Pages:
- qzae064
- Publication date:
- 2024-09-26
- DOI:
- EISSN:
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2210-3244
- ISSN:
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1672-0229
- Language:
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English
- Keywords:
- Pubs id:
-
2373822
- Local pid:
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pubs:2373822
- Source identifiers:
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W4402891748
- Deposit date:
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2026-02-15
- ARK identifier:
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Terms of use
- Copyright date:
- 2024
- Licence:
- CC Attribution (CC BY)
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