Evidence map›Paper›PMID 38294659›Full record

ArticleGeneral thoracic and cardiovascular surgery2024

Identifying intense inflammatory subtype of esophageal squamous cell carcinoma using clustering approach.

Satoru Matsuda, Shota Hoshino, Tadahiro Goto, Hirofumi Kawakubo, Masashi Takeuchi, Ryota Kobayashi, Kohei Nakamura, Hiroya Takeuchi, Hiroshi Nishihara, Yuko Kitagawa

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Article in General thoracic and cardiovascular surgery, 2024. 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

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10 authors.

Satoru Matsuda *Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. s.matsuda.a8@keio.jp.ORCID http://orcid.org/0000-0001-8441-2755
Shota Hoshino *Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Tadahiro Goto *Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hirofumi KawakuboDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Masashi TakeuchiDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Ryota KobayashiDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Kohei NakamuraGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Hiroya TakeuchiDepartment of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Hiroshi NishiharaGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Yuko KitagawaDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo establish a risk-stratification system for predicting the postoperative recurrence of esophageal squamous cell carcinoma, this study aimed to evaluate the prognostic value of clusters based on blood inflammation and coagulation markers and investigate their correlation with serum cytokines and genetic alteration.

methodThis single-center, retrospective cohort study enrolled 491 patients with esophageal cancer who underwent subtotal esophagectomy between 2004 and 2012. For cluster exploration, nonhierarchical cluster analysis and k-means were applied using serum C-reactive protein, albumin, fibrinogen, and platelet-lymphocyte ratio as variables. Then, multivariate survival analysis was conducted to investigate the association of clusters with recurrence-free survival. To characterize the clusters, serum interleukin-6, interleukin-8, and genetic alteration in primary tumors, the PleSSision-Rapid panel, which can evaluate 160 representative driver genes, was used.

resultsPatients were classified into clusters 1, 2, and 3, which included 24 (5%), 161 (33%), and 306 (62%) patients, respectively. Compared with cluster 3, cluster 1 or 2 had significantly worse recurrence-free survival. Based on the multivariable analysis using cluster, pStage, and age as covariates, cluster was an independent prognostic factor for recurrence-free survival (hazard ratio, 1.55; 95% confidence interval, 1.08-2.21; P = 0.02). The percentage of serum interleukin-6 and interleukin-8 levels was the highest in cluster 1, followed by clusters 2 and 3. In 23 patients with available genomic profiles, no significant difference in representative genomic alterations was observed.

conclusionsNon-biased clustering using inflammation and coagulation markers identified the intense inflammatory subtype, which had an independent prognostic effect on recurrence-free survival.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaEsophagectomyAgedBiomarkers, TumorCluster AnalysisFemaleHumansInflammationInflammation MediatorsMaleMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesRisk AssessmentRisk FactorsBiomarkers, TumorInflammation MediatorsBiomarkerEsophageal cancerInflammatory subtype

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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.