Open Access Green as soon as Postprint is submitted to ZB.
Development and validation of a 6-gene signature for the prognosis of loco-regional control in patients with HPV-negative locally advanced HNSCC treated by postoperative radio(chemo)therapy.
Radiother. Oncol. 171, 91-100 (2022)
PURPOSE: The aim of this study was to develop and validate a novel gene signature from full-transcriptome data using machine-learning approaches to predict loco-regional control (LRC) of patients with human papilloma virus (HPV)-negative locally advanced head and neck squamous cell carcinoma (HNSCC), who received postoperative radio(chemo)therapy (PORT-C). MATERIALS AND METHODS: Gene expression analysis was performed using Affymetrix GeneChip Human Transcriptome Array 2.0 on a multicentre retrospective training cohort of 128 patients and an independent validation cohort of 114 patients from the German Cancer Consortium - Radiation Oncology Group (DKTK-ROG). Genes were filtered based on differential gene expression analyses and Cox regression. The identified gene signature was combined with clinical parameters and with previously identified genes related to stem cells and hypoxia. Technical validation was performed using nanoString technology. RESULTS: We identified a 6-gene signature consisting of four individual genes CAV1, GPX8, IGLV3-25, TGFBI, and one metagene combining the highly correlated genes INHBA and SERPINE1. This signature was prognostic for LRC on the training data (ci=0.84) and in validation (ci=0.63) with a significant patient stratification into two risk groups (p=0.005). Combining the 6-gene signature with the clinical parameters T stage and tumour localisation as well as the stem-cell marker CD44 and the 15-gene hypoxia-associated signature improved the validation performance (ci=0.69, p=0.001). CONCLUSION: We have developed and validated a novel prognostic 6-gene signature for LRC of HNSCC patients with HPV-negative tumours treated by PORT-C. After successful prospective validation the signature can be part of clinical trials on the individualization of radiotherapy.
Impact Factor
Scopus SNIP
Scopus
Cited By
Cited By
Altmetric
6.901
0.000
1
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Cancer Stem Cells ; Gene Signature ; Head And Neck Squamous Cell Carcinoma ; Hypoxia ; Machine Learning ; Postoperative Radiotherapy
Language
english
Publication Year
2022
HGF-reported in Year
2022
ISSN (print) / ISBN
0167-8140
e-ISSN
1879-0887
Journal
Radiotherapy and Oncology
Quellenangaben
Volume: 171,
Pages: 91-100
Publisher
Elsevier
Reviewing status
Peer reviewed
POF-Topic(s)
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30203 - Molecular Targets and Therapies
30203 - Molecular Targets and Therapies
Research field(s)
Radiation Sciences
PSP Element(s)
G-521800-001
G-501300-001
G-501300-001
Grants
Nationales Centrum für Tumorerkrankungen Heidelberg
Universidad Católica de Córdoba
TNTB
Normal and Tumor Tissue Bank
National Center for Tumor Diseases
Universidad Católica de Córdoba
TNTB
Normal and Tumor Tissue Bank
National Center for Tumor Diseases
Scopus ID
85129269859
PubMed ID
35429503
Erfassungsdatum
2022-07-29