Article ; Online: Value of p53 sequencing in the prognostication of head and neck cancer
Scientific Reports, Vol 12, Iss 1, Pp 1-
a systematic review and meta-analysis
2022 Volume 13
Abstract: Abstract This review aimed to examine the relationship between TP53 mutational status, as determined by genomic sequencing, and survival in squamous cell carcinoma of the head and neck. The databases Medline, Embase, Web of Science (core collection), ... ...
| Abstract | Abstract This review aimed to examine the relationship between TP53 mutational status, as determined by genomic sequencing, and survival in squamous cell carcinoma of the head and neck. The databases Medline, Embase, Web of Science (core collection), Scopus and Cochrane Library were searched from inception to April 2021 for studies assessing P53 status and survival. Qualitative analysis was carried out using the REMARK criteria. A meta-analyses was performed and statistical analysis was carried out to test the stability and reliability of results. Twenty-five studies met the inclusion criteria, of which fifteen provided enough data for quantitative evaluation. TP53 mutation was associated with worse overall survival (HR 1.75 [95% CI 1.45–2.10], p < 0.001), disease-specific survival (HR 4.23 [95% CI 1.19–15.06], p = 0.03), and disease-free survival (HR 1.80 [95% CI 1.28–2.53], p < 0.001). Qualitative assessment identified room for improvement and the pooled analysis of all anatomical subsites leads to heterogeneity that may erode the validity of the observed overall effect and its subsequent extrapolation and application to individual patients. Our systematic review and meta-analysis supports the utility of TP53 mutational as a prognostic factor for survival in head and neck squamous cell carcinoma. A well designed prospective, multi-centre trial is needed to definitively answer this question. |
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| Keywords | Medicine ; R ; Science ; Q |
| Subject code | 306 |
| Language | English |
| Publishing date | 2022-12-01T00:00:00Z |
| Publisher | Nature Portfolio |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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