Evidence map›Paper›PMID 38031025›Full record

ArticleMolecular cancer2023

Immunosignatures associated with TP53 status and co-mutations classify prognostically head and neck cancer patients.

Andrea Sacconi, Paola Muti, Claudio Pulito, Giulia Urbani, Matteo Allegretti, Raul Pellini, Nikolay Mehterov, Uri Ben-David, Sabrina Strano, Paolo Bossi and 1 more

Open access · goldAbstract readLetter
In one paragraph

Article in Molecular cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Andrea Sacconi *Clinical Trial Center, Biostatistics and Bioinformatics, IRCCS Regina Elena National Cancer Institute, Rome, 00144, Italy.
Paola Muti *Department of Biomedical, Surgical Science and Oral Health, Milan University, Milan, Italy.
Claudio PulitoTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, 00144, Italy.
Giulia UrbaniTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, 00144, Italy.
Matteo AllegrettiTranslational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, 00144, Italy.
Raul PelliniOtolaryngology Head and Neck Surgery Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Nikolay MehterovDepartment of Medical Biology, Medical University-Plovdiv, Plodvid, Bulgaria.
Uri Ben-DavidDepartment of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Sabrina StranoSAFU Unit, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.
Paolo Bossi *Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy. paolo.bossi@hunimed.eu.
Giovanni Blandino *Translational Oncology Research Unit, IRCCS Regina Elena National Cancer Institute, Rome, 00144, Italy. giovanni.blandino@ifo.it.
Istituti di Ricovero e Cura a Carattere Scientifico · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITIRCCS Humanitas Research Hospital · ITMedical University Plovdiv · BGNational Cancer Institute · MYTel Aviv University · IL

Funding

Fondazione AIRC per la ricerca sul cancro ETS AIRC IG 2018-ID 21740Fondazione AIRC per la ricerca sul cancro ETS ID. 22759Ministero della Salute PNRR-POC-2022-12376580
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) are a therapeutic strategy for various cancers although only a subset of patients respond to the therapy. Identifying patients more prone to respond to ICIs may increase the therapeutic benefit and allow studying new approaches for resistant patients.

methodsWe analyzed the TCGA cohort of HNSCC patients in relation to their activation of 26 immune gene expression signatures, as well as their cell type composition, in order to define signaling pathways associated with resistance to ICIs. Results were validated on two cohorts of 102 HNSCC patients and 139 HNSCC patients under treatment with PD-L1 inhibitors, respectively, and a cohort of 108 HNSCC HPV negative patients and by in vitro experiments in HNSCC cell lines.

resultsWe observed a significant association between the gene set and TP53 gene status and OS and PFS of HNSCC patients. Surprisingly, the presence of a TP53 mutation together with another co-driver mutation was associated with significantly higher levels of the immune gene expression, in comparison to tumors in which the TP53 gene was mutated alone. In addition, the higher level of TP53 mutated-dependent MYC signature was associated with lower levels of the immune gene expression signature. In vitro and three different patient cohorts validation analyses corroborated these findings.

conclusionsImmune gene signature sets associated with TP53 status and co-mutations classify with more accuracy HNSCC patients. These biomarkers may be easily implemented in clinical setting.

Indexed as

Head and Neck NeoplasmsCohort StudiesHumansMutationPrognosisSignal TransductionSquamous Cell Carcinoma of Head and NeckTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53c-MYCHNSCCImmune checkpoint inhibitorImmunotherapyp53PDL1PI3K

Identifiers

PMID38031025
PMCPMC10687972
OpenAlexW4389153532

What OpenQuestion holds

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Registered trials

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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.