Literature DB >> 31173964

Interference of tumour mutational burden with outcome of patients with head and neck cancer treated with definitive chemoradiation: a multicentre retrospective study of the German Cancer Consortium Radiation Oncology Group.

T Eder1, A K Hess2, R Konschak3, C Stromberger2, K Jöhrens4, V Fleischer2, M Hummel5, P Balermpas6, J von der Grün6, A Linge7, F Lohaus7, M Krause8, M Baumann9, M Stuschke10, D Zips11, A L Grosu12, A Abdollahi13, J Debus13, C Belka14, S Pigorsch15, S E Combs15, V Budach3, I Tinhofer16.   

Abstract

BACKGROUND: Tumour mutational burden (TMB) estimated from whole exome sequencing or comprehensive gene panels has previously been established as predictive factor of response to immune checkpoint inhibitors (ICIs). Its predictive value for the efficacy of concurrent chemoradiation (cCRTX), a potential combination partner of ICI, remains unknown.
METHODS: The accuracy of TMB estimation by an in-house 327-gene panel was established in the Cancer Genome Atlas (TCGA) head and neck squamous cell carcinoma (HNSCC) data set. Interference of TMB with outcome after cCRTX was determined in a multicentre cohort of patients with locally advanced HNSCC uniformly treated with cCRTX. Targeted next-generation sequencing was successfully applied in 101 formalin-fixed, paraffin-embedded pretreatment tumour samples. In a subset of cases (n = 40), tumour RNA was used for immune-related gene expression profiling by the nanoString platform. TMB was correlated with TP53 genotype, human papilloma virus (HPV) status, immune expression signatures and survival parameters. Results were validated in the TCGA HNSCC cohort.
RESULTS: A high accuracy of TMB estimation by the 327-gene panel was established. High TMB was significantly associated with an increased prevalence of TP53 mutations and immune gene expression patterns unrelated to T cell-inflamed gene expression profiles. Kaplan-Meier analysis revealed significantly reduced overall survival in the patient group with high TMB (hazard ratio for death: 1.79, 95% confidence interval: 1.02-3.14; P = 0.042) which remained significant after correcting for confounding factors in the multivariate model. The prognostic value of TMB was confirmed in the TCGA HNSCC cohort.
CONCLUSION: High TMB identifies HNSCC patients with poor outcome after cCRTX who might preferentially benefit from CRTX-ICI combinations.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Concurrent chemoradiation; Immune expression profile; Prognosis; Targeted next-generation sequencing; Tumour mutational burden

Mesh:

Substances:

Year:  2019        PMID: 31173964     DOI: 10.1016/j.ejca.2019.04.015

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  12 in total

1.  A signature of immune-related gene pairs (IRGPs) for risk stratification and prognosis of oral cancer patients.

Authors:  Yanling Yu; Jing Tian; Yanni Hou; Xinxin Zhang; Linhua Li; Peifu Cong; Lei Ji; Xuri Wang
Journal:  World J Surg Oncol       Date:  2022-07-08       Impact factor: 3.253

2.  Identifying predictors of HPV-related head and neck squamous cell carcinoma progression and survival through patient-derived models.

Authors:  Nicole D Facompre; Pavithra Rajagopalan; Varun Sahu; Alexander T Pearson; Kathleen T Montone; Claire D James; Frederico O Gleber-Netto; Gregory S Weinstein; Jalal Jalaly; Alexander Lin; Anil K Rustgi; Hiroshi Nakagawa; Joseph A Califano; Curtis R Pickering; Elizabeth A White; Bradford E Windle; Iain M Morgan; Roger B Cohen; Phyllis A Gimotty; Devraj Basu
Journal:  Int J Cancer       Date:  2020-07-06       Impact factor: 7.396

3.  The mutational load and a T-cell inflamed tumour phenotype identify ovarian cancer patients rendering tumour-reactive T cells from PD-1+ tumour-infiltrating lymphocytes.

Authors:  Carlos E De Andrea; Sandra Hervas-Stubbs; Diego Salas-Benito; Enrique Conde; Ibon Tamayo-Uria; Uxua Mancheño; Edurne Elizalde; David Garcia-Ros; Jose M Aramendia; Juan C Muruzabal; Julia Alcaide; Francisco Guillen-Grima; Jose A Minguez; Jose Amores-Tirado; Antonio Gonzalez-Martin; Pablo Sarobe; Juan J Lasarte; Mariano Ponz-Sarvise
Journal:  Br J Cancer       Date:  2021-01-05       Impact factor: 7.640

Review 4.  The Combination of Radiotherapy With Immunotherapy and Potential Predictive Biomarkers for Treatment of Non-Small Cell Lung Cancer Patients.

Authors:  Lu Meng; Jianfang Xu; Ying Ye; Yingying Wang; Shilan Luo; Xiaomei Gong
Journal:  Front Immunol       Date:  2021-09-21       Impact factor: 7.561

5.  Precise Identification of Recurrent Somatic Mutations in Oral Cancer Through Whole-Exome Sequencing Using Multiple Mutation Calling Pipelines.

Authors:  Li-Han Lin; Chung-Hsien Chou; Hui-Wen Cheng; Kuo-Wei Chang; Chung-Ji Liu
Journal:  Front Oncol       Date:  2021-11-29       Impact factor: 6.244

Review 6.  Laryngeal Tumor Microenvironment.

Authors:  Georgia Karpathiou; Jean Marc Dumollard; Michel Peoc'h
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

Review 7.  Prognostic and Predictive Factors in Advanced Head and Neck Squamous Cell Carcinoma.

Authors:  Teresa Magnes; Sandro Wagner; Dominik Kiem; Lukas Weiss; Gabriel Rinnerthaler; Richard Greil; Thomas Melchardt
Journal:  Int J Mol Sci       Date:  2021-05-07       Impact factor: 5.923

8.  Genome-Wide Identification of a Novel Eight-lncRNA Signature to Improve Prognostic Prediction in Head and Neck Squamous Cell Carcinoma.

Authors:  Bowen Yang; Jiming Shen; Lu Xu; Ying Chen; Xiaofang Che; Xiujuan Qu; Yunpeng Liu; Yuee Teng; Zhi Li
Journal:  Front Oncol       Date:  2019-09-18       Impact factor: 6.244

9.  Dose escalation in advanced floor of the mouth cancer: a pilot study using a combination of IMRT and stereotactic boost.

Authors:  Tomáš Blažek; Zuzana Zděblová Čermáková; Lukáš Knybel; Pavel Hurník; Jan Štembírek; Kamila Resová; Tereza Paračková; Martin Formánek; Jakub Cvek; Renata Soumarová
Journal:  Radiat Oncol       Date:  2021-06-29       Impact factor: 3.481

10.  Applicability of liquid biopsies to represent the mutational profile of tumor tissue from different cancer entities.

Authors:  Evelyn Kidess-Sigal; Diana Braunholz; Sandra Liebs; Theresa Eder; Frederick Klauschen; Moritz Schütte; Marie-Laure Yaspo; Ulrich Keilholz; Ingeborg Tinhofer
Journal:  Oncogene       Date:  2021-07-06       Impact factor: 9.867

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