Evidence map›Paper›PMID 32684626›Full record

ArticleBritish journal of cancer2020

Computational analysis of TP53 mutational landscape unveils key prognostic signatures and distinct pathobiological pathways in head and neck squamous cell cancer.

Vito Carlo Alberto Caponio, Giuseppe Troiano, Iolanda Adipietro, Khrystyna Zhurakivska, Claudia Arena, Domenica Mangieri, Marco Mascitti, Nicola Cirillo, Lorenzo Lo Muzio

Abstract read
In one paragraph

Article in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Identification of a gene score related to antigen processing and presentation machinery for predicting prognosis in head and neck squamous cell carcinoma and its potential implications for immunotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  13. The Association ofInternational journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Vito Carlo Alberto CaponioDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy. vitocarlo.caponio@unifg.it.
Giuseppe TroianoDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Iolanda AdipietroDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Khrystyna ZhurakivskaDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Claudia ArenaDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Domenica MangieriDepartment of Medical and Surgical Sciences, Biomedical Unit 'E. Altomare', University of Foggia, Foggia, Italy.
Marco MascittiDepartment of Clinical Specialistic and Dental Sciences, Marche Polytechnic University, Ancona, Italy.
Nicola CirilloMelbourne Dental School, The University of Melbourne, Melbourne, VIC, Australia.
Lorenzo Lo MuzioDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy. lorenzo.lomuzio@unifg.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMutations of the tumour-suppressor gene TP53 are the most frequent somatic genomic alterations in head and neck squamous cell carcinoma (HNSCC). However, it is not yet clear whether specific TP53 mutations bear distinct clinical and pathophysiological significance in different HNSCC subgroups.

methodsA systematic bioinformatics appraisal of TP53 mutations was performed on 415 HNSCC cases available on The Cancer Genome Atlas (TCGA). The following features were analysed and correlated with known clinicopathological variables: mutational profile of TP53, location (within secondary structure and predicted domains of p53 protein) and well-known hotspot mutations. Interactome-genome-transcriptome network analysis highlighted different gene networks. An algorithm was generated to develop a new prognostic classification system based on patients' overall survival.

resultsTP53 mutations in HNSCCs exhibited distinct differences in different anatomical sites. The mutational profile of TP53 was an independent prognostic factor in HNSCC. High risk of death mutations, identified by our novel classification algorithm, was an independent prognostic factor in TCGA HNSCC database. Finally, network analysis suggested that distinct p53 molecular pathways exist in a site- and mutation-specific manner.

conclusionsThe mutational profile of TP53 may serve as an independent prognostic factor in HNSCC patients, and is associated with distinctive site-specific biological networks.

Indexed as

MutationComputational BiologyHead and Neck NeoplasmsHumansPapillomaviridaePrognosisSquamous Cell Carcinoma of Head and NeckTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID32684626
PMCPMC7553957

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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.