Evidence map›Paper›PMID 40095336›Full record

ArticleInternational journal of clinical oncology2025

Prognostic prediction using recursive partitioning analysis of patients undergoing salvage surgery for locally recurrent oral squamous cell carcinoma.

Toshihiko Sakai, Go Omura, Kohtaro Eguchi, Azusa Sakai, Yoshifumi Matsumoto, Chihiro Fushimi, Seiichi Yoshimoto

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Article in International journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Toshihiko SakaiDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan. tsakai8312@gmail.com.ORCID http://orcid.org/0000-0002-7484-6944
Go OmuraDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.
Kohtaro EguchiDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.
Azusa SakaiDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.
Yoshifumi MatsumotoDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.
Chihiro FushimiDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.
Seiichi YoshimotoDepartment of Head and Neck Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science 20K18272
6 · The paper itself

Abstract

backgroundThe prognosis of patients with locally recurrent oral cavity squamous cell carcinoma (LR-OCSCC) remains poor even when salvage surgery can be performed. Therefore, the current study aimed to identify adverse prognostic factors in these patients and use recursive partitioning analysis (RPA), a machine learning statistical method, to develop a prognostic classification based on these factors.

methodsThe clinical data of 75 patients who underwent salvage surgery for LR-OCSCC at the National Cancer Center between 2010 and 2022 were retrospectively reviewed. Prognostic factors were analyzed using Cox proportional hazards regression models. Patients were classified by survival outcomes using RPA. Survival rates were determined using the Kaplan-Meier method.

resultsThe 3-year overall survival (OS) and locoregional recurrence rates for all patients who underwent salvage surgery were 53.4% and 32.7%, respectively. The univariate Cox proportional hazards regression analysis identified concurrent regional recurrence, previous history of radiotherapy to the neck, and recurrence within 12 months from initial treatment as adverse prognostic factors. RPA was performed using these variables and patients were classified into low-, intermediate-, and high-risk groups based on a combination of concurrent regional recurrence and time to recurrence. The 3-year OS rates for the low-, intermediate-, and high-risk groups were 73.3%, 53.3%, and 24.4%, respectively.

conclusionA novel prognostic classification for LR-OCSCC salvage surgery was developed to facilitate development of treatment strategies and identification of patients that would not benefit from this procedure.

Indexed as

Carcinoma, Squamous CellMouth NeoplasmsNeoplasm Recurrence, LocalSalvage TherapySquamous Cell Carcinoma of Head and NeckAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesDecision treesHead and neck cancerOral cavityPrognosisRecurrenceSalvage therapy

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.