ArticleEuropean journal of cancer (Oxford, England : 1990)2024
A new prognostic model in chemotherapy-treated patients with recurrent or metastatic head and neck cancer: An analysis of ECOG-ACRIN E1305.
Article in European journal of cancer (Oxford, England : 1990), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Genomic landscape of a long-term surviving patient with metastatic cancer of the larynx: a case report.Frontiers in oncology · 2025Article
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
introductionFor patients with recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) periodic reassessment of prognostic factors provides valuable information that can aid in patient stratification. PATIENTS AND
methodsThis post hoc analysis included all patients with R/M HNSCC enrolled in the ECOG-ACRIN E1305 phase III clinical trial who received first-line treatment with platinum-containing chemotherapy doublet with or without bevacizumab. Overall survival (OS) was estimated using the Kaplan-Meier method. Prognostic factors for OS were identified using univariate and multivariable analyses. A new prognostic model for OS was built retaining the prognostic factors which were significant in the final multivariable analysis (P < 0.05).
resultsAll 403 study participants were included in the analysis. The median OS in the whole study cohort was 11.8 months (90% confidence intervals [CI], 10.6-13.2). The new prognostic model for OS comprised four risk factors (ECOG performance status [1 versus 0], primary tumor location [other versus oropharynx], presence of bone or liver metastasis, and prior radiation to the head and neck); patients with ≤ 2 (n = 249) and > 2 risk factors (n = 154) had a median OS of 15.2 and 7.6 months, respectively (Hazard ratio, 2.14; 95% CI, 1.73-2.66; P < 0.0001).
conclusionsThe new proposed model includes 4 clinical prognostic factors that can be readily assessed at baseline. Similar models have the potential to improve trial design and optimize stratification of patients with R/M HNSCC.
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