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TP53 mutational landscape of metastatic head and neck cancer reveals patterns of mutation selection.

ABSTRACT: BACKGROUND:Head and neck squamous cell carcinoma is a heterogeneous disease with respect to the anatomic site of the primary tumor. On the other hand, it is highly recurrent, and once metastatic, it is associated with poor prognosis. TP53 is the most commonly mutated gene in primary disease. TP53 mutations occur in different structural elements of the protein while the biological outcome can be diverse. METHODS:Here we aimed to find differences in the mutation profile of TP53 in primary and metastatic disease and the impact of TP53 mutations in metastasis, specific copy number alterations, tumor mutation burden and response to immune checkpoint inhibitors. Somatic mutation and clinical data for 512 primary and 134 metastatic biopsies were studied. FINDINGS:Overall TP53 mutation frequency is significantly lower in metastases compared to primary tumors. One the other hand, missense mutations in the DNA binding region are significantly enriched in metastases and are associated with a common fragile site in chromosome 11, leading to amplification and overexpression of genes with established role in metastasis. Finally, TP53 mutations are associated with higher TMB score in metastatic but not primary tumors, and poorer response to immune checkpoint inhibitors for the latter. INTERPRETATION:TP53 mutations affect clinical and molecular aspects of head and neck tumorigenesis including metastasis, genetic alterations and therapeutic response. FUNDING:This work was supported by a Horizon 2020 grant (801347) to AK, and a Greek General Secretariat for Research and Technology and the Hellenic Foundation for Research and Innovation grant (472-EpiNotch) to TR.

SUBMITTER: Klinakis A

PROVIDER: S-EPMC7393519 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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TP53 mutational landscape of metastatic head and neck cancer reveals patterns of mutation selection.

Klinakis Apostolos A Rampias Theodoros T

EBioMedicine 20200730

<h4>Background</h4>Head and neck squamous cell carcinoma is a heterogeneous disease with respect to the anatomic site of the primary tumor. On the other hand, it is highly recurrent, and once metastatic, it is associated with poor prognosis. TP53 is the most commonly mutated gene in primary disease. TP53 mutations occur in different structural elements of the protein while the biological outcome can be diverse.<h4>Methods</h4>Here we aimed to find differences in the mutation profile of TP53 in p ...[more]

PMID: 32739866

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Project description:For TP53-mutated head and neck squamous cell carcinomas (HNSCCs), the codon and specific amino acid sequence change resulting from a patient's mutation can be prognostic. Thus, developing a framework to predict patient survival for specific mutations in TP53 would be valuable. There are many bioinformatics and functional methods for predicting the phenotypic impact of genetic variation, but their overall clinical value remains unclear. Here, we assess the ability of 15 different methods to predict HNSCC patient survival from TP53 mutation, using TP53 mutation and clinical data from patients enrolled in E4393 by the Eastern Cooperative Oncology Group (ECOG), which investigated whether TP53 mutations in surgical margins were predictive of disease recurrence. These methods include: server-based computational tools SIFT, PolyPhen-2, and Align-GVGD; our in-house POSE and VEST algorithms; the rules devised in Poeta et al. with and without considerations for splice-site mutations; location of mutation in the DNA-bound TP53 protein structure; and a functional assay measuring WAF1 transactivation in TP53-mutated yeast. We assessed method performance using overall survival (OS) and progression-free survival (PFS) from 420 HNSCC patients, of whom 224 had TP53 mutations. Each mutation was categorized as "disruptive" or "non-disruptive". For each method, we compared the outcome between the disruptive group vs. the non-disruptive group. The rules devised by Poeta et al. with or without our splice-site modification were observed to be superior to others. While the differences in OS (disruptive vs. non-disruptive) appear to be marginally significant (Poeta rules + splice rules, P = 0.089; Poeta rules, P = 0.053), both algorithms identified the disruptive group as having significantly worse PFS outcome (Poeta rules + splice rules, P = 0.011; Poeta rules, P = 0.027). In general, prognostic performance was low among assessed methods. Further studies are required to develop and validate methods that can predict functional and clinical significance of TP53 mutations in HNSCC patients.

Project description:BackgroundRecurrence and/or metastasis occurs in more than half of patients with head and neck squamous cell carcinoma (HNSCC), and these events pose the greatest threats to long-term survival. We set out to identify genetic alterations that underlie recurrent/metastatic HNSCC.MethodsWhole-exome sequencing (WES) was performed on genomic DNA extracted from fresh-frozen whole blood and patient-matched tumor pairs from 13 HNSCC patients with synchronous lymph node metastases and 10 patients with metachronous recurrent tumors. Mutational concordance within and between tumor pairs was used to analyze the spatiotemporal evolution of HNSCC in individual patients and to identify potential therapeutic targets for functional evaluation.ResultsApproximately 86% and 60% of single somatic nucleotide variants (SSNVs) identified in synchronous nodal metastases and metachronous recurrent tumors, respectively, were transmitted from the primary index tumor. Genes that were mutated in more than one metastatic or recurrent tumor, but not in the respective primary tumors, include C17orf104, inositol 1,4,5-trisphosphate receptor, type 3 (ITPR3), and discoidin domain receptor tyrosine kinase 2 (DDR2). Select DDR2 mutations have been shown to confer enhanced sensitivity to SRC-family kinase (SFK) inhibitors in other malignancies. Similarly, HNSCC cell lines harboring endogenous and engineered DDR2 mutations were more sensitive to the SFK inhibitor dasatinib than those with WT DDR2.ConclusionIn this WES study of patient-matched tumor pairs in HNSCC, we found synchronous lymph node metastases to be genetically more similar to their paired index primary tumors than metachronous recurrent tumors. This study outlines a compendium of somatic mutations in primary, metastatic, and/or recurrent HNSCC cancers, with potential implications for precision medicine approaches.FundingNational Cancer Institute, American Cancer Society, Agency for Science, Technology and Research of Singapore, and Gilead Sciences Inc.

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TP53 mutational landscape of metastatic head and neck cancer reveals patterns of mutation selection.

Publications

TP53 mutational landscape of metastatic head and neck cancer reveals patterns of mutation selection.

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