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Predictive classifier for intensive treatment of head and neck cancer

Zakeri, K; Rotolo, F; Lacas, B; Vitzthum, LK; Le, Q-T; Gregoire, V; Overgaard, J; ... MARCH/MACH-NC Collaborative Group and the Head and Neck Cancer I; + view all (2020) Predictive classifier for intensive treatment of head and neck cancer. Cancer , 126 (24) pp. 5263-5273. 10.1002/cncr.33212. Green open access

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Abstract

Background: This study was designed to test the hypothesis that the effectiveness of intensive treatment for locoregionally advanced head and neck cancer (LAHNC) depends on the proportion of patients' overall event risk attributable to cancer. / Methods: This study analyzed 22,339 patients with LAHNC treated in 81 randomized trials testing altered fractionation (AFX; Meta‐Analysis of Radiotherapy in Squamous Cell Carcinomas of Head and Neck [MARCH] data set) or chemotherapy (Meta‐Analysis of Chemotherapy in Head and Neck Cancer [MACH‐NC] data set). Generalized competing event regression was applied to the control arms in MARCH, and patients were stratified by tertile according to the ω score, which quantified the relative hazard for cancer versus competing events. The classifier was externally validated on the MACH‐NC data set. The study tested for interactions between the ω score and treatment effects on overall survival (OS). / Results: Factors associated with a higher ω score were a younger age, a better performance status, an oral cavity site, higher T and N categories, and a p16‐negative/unknown status. The effect of AFX on OS was greater in patients with high ω scores (hazard ratio [HR], 0.92; 95% confidence interval [CI], 0.85‐0.99) and medium ω scores (HR, 0.91; 95% CI, 0.84‐0.98) versus low ω scores (HR, 0.97; 95% CI, 0.90‐1.05; P for interaction = .086). The effect of chemotherapy on OS was significantly greater in patients with high ω scores (HR, 0.81; 95% CI, 0.75‐0.88) and medium ω scores (HR, 0.86; 95% CI, 0.78‐0.93) versus low ω scores (HR, 0.96; 95% CI, 0.86‐1.08; P for interaction = .011). / Conclusions: LAHNC patients with a higher risk of cancer progression relative to competing mortality, as reflected by a higher ω score, selectively benefit from more intensive treatment.

Type: Article
Title: Predictive classifier for intensive treatment of head and neck cancer
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/cncr.33212
Publisher version: https://doi.org/10.1002/cncr.33212
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: altered fractionation, chemotherapy, competing risks, head and neck cancer
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Cancer Institute > CRUK Cancer Trials Centre
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10113314
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