Data from The Stem Cell Factor <i>HMGA2</i> Is Expressed in Non-HPV–Associated Head and Neck Squamous Cell Carcinoma and Predicts Patient Survival of Distinct Subsites

Kathrin Günther,Ronja Foraita,Juliane Friemel, Frauke Günther,Jörn Bullerdiek, Rolf Nimzyk, Dominique Nadine Markowski,Thomas Behrens,Wolfgang Ahrens

crossref(2023)

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摘要
Abstract

Background: The transcription factor high-mobility AT-hook 2 (HMGA2) is involved in stem cell renewal and is expressed in many tumor tissues. Head and neck squamous cell carcinomas (HNSCC) comprise tumors of the upper aerodigestive tract and are characterized by high recurrence rates that represent a challenge to patient management. The study addresses the potential of HMGA2 as a molecular biomarker for HNSCC patient survival.

Methods: Patients with HNSCC of the larynx, pharynx, tonsils, or oral cavity were recruited in a hospital-based case–control study (n = 202). Quantitative expression of HMGA2 in tumor tissues was measured by RT-PCR. In a 6- to 10-year follow-up, secondary cancers, vital status, and cause of death were ascertained. The HR and 95% confidence intervals (CI) for overall, tumor-specific, and progression-free survival were estimated by Cox proportional hazards with HMGA2 expression level as the independent variable.

Results: High HMGA2 expression in tumor tissues of HNSCC patients was significantly correlated with negative HPV status (P = 0.01), and associated with shorter overall survival time. In Cox regression modeling, HMGA2 expression yielded a risk increase for overall and tumor-specific death in subsets of HNSCC patients, that is, laryngeal cancer patients (overall survival: HR = 4.00; 95% CI, 1.18–13.62) and in oral cancer patients (tumor-specific survival: HR = 2.88; 95% CI, 1.06–7.84), but not in patients with pharyngeal and tonsillar HNSCC.

Conclusions: HMGA2 expression is associated with a risk increase for adverse outcomes in patients with HNSCC of the larynx and oral cavity.

Impact: The understanding of stem cell signaling in HNSCC may offer new strategies for cancer treatment. Cancer Epidemiol Biomarkers Prev; 26(2); 197–205. ©2016 AACR.

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