{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T21:47:22Z","timestamp":1782078442483,"version":"3.54.5"},"reference-count":48,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T00:00:00Z","timestamp":1775692800000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Grant-in-Aid for Challenging Exploratory Research","award":["21K19492"],"award-info":[{"award-number":["21K19492"]}]},{"name":"National Cancer Center Research and Development Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The standard treatment for stage III colorectal cancer (CRC) is surgery, followed by adjuvant chemotherapy (AC). However, the efficacy of AC is limited and approximately 30% of patients experience recurrence. Therefore, easily assessable molecular biomarkers that can predict the response to AC are needed. Here, we aimed to identify predictive biomarkers of the response to AC using tumor transcriptomic data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Tumor specimens from 253 patients who underwent surgery for stage III CRC between 1997 and 2019 were analyzed using RNA sequencing. Transcriptional subtyping and analyses of gut microbiome, immune cell fractions, and T-cell receptors (TCRs) were performed to identify factors associated with recurrence-free survival in patients treated with or without AC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 253 patients, 118 (46.6%) received AC. Twenty phyla and 799 species were identified in the microbiomes, among which Fusobacteria were identified in 247 patients (97.6%). Multivariable Cox proportional hazards regression analysis of patients who received AC showed that intratumoral Fusobacterium abundance (hazard ratio [HR] \u2009=\u20093.95, 95% confidence interval [CI] \u2009=\u20091.05 to 14.8; P\u2009=\u2009.042) and TCR \u03b1 and \u03b4 (TRAD) diversity (HR \u2009=\u20090.41, 95% CI \u2009=\u20090.20 to 0.87; P\u2009=\u2009.020) were independently associated with RFS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Fusobacterium abundance and TRAD diversity were associated with the response to AC, suggesting that these factors could serve as biomarkers for personalized treatment in stage III CRC.<\/jats:p>\n                  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