{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T20:38:15Z","timestamp":1770410295774,"version":"3.49.0"},"reference-count":32,"publisher":"IMR Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Br J Hosp Med"],"published-print":{"date-parts":[[2025,2,25]]},"abstract":"<jats:p>Aims\/Background Peritoneal metastasis in colorectal cancer (CRC) indicates a poor prognosis for patients. Circulating tumour DNA (ctDNA) effectively predicts recurrence and metastasis. Therefore, this study aims to construct a predictive model for peritoneal metastasis by integrating ctDNA with clinicopathological factors in stage I\u2013III CRC patients.<\/jats:p>\n                  <jats:p>Methods We conducted a retrospective analysis of 299 CRC patients who underwent ctDNA detection at The Sixth Affiliated Hospital, Sun Yat-sen University between January 2010 and December 2022. Patients were randomly divided into training (n = 209) and validation (n = 90) sets in a 7:3 ratio using a random number table method. The least absolute shrinkage and selection operator (LASSO) regression model optimized feature selection, and multivariable logistic regression constructed the predictive model.<\/jats:p>\n                  <jats:p>Results Among the study cohort, 59 patients were ctDNA-positive. Postoperative ctDNA positivity was associated with an 8.522-fold increased risk of peritoneal metastasis (p &lt; 0.001, odds ratio (OR) 8.522, 95% confidence interval (CI) 4.371\u201316.615). The model included preoperative carbohydrate antigen 125 (CA-125), pathological lymph node staging, perineural invasion, and ctDNA levels, achieving an area under the curve (AUC) of 0.808 (95% CI 0.727\u20130.888) in the training set and 0.784 (95% CI 0.658\u20130.910) in the validation set.<\/jats:p>\n                  <jats:p>Conclusion This model can accurately identify high-risk patients for peritoneal metastasis in postoperative CRC, facilitating early detection and timely intervention.<\/jats:p>","DOI":"10.12968\/hmed.2024.0704","type":"journal-article","created":{"date-parts":[[2025,2,14]],"date-time":"2025-02-14T12:17:01Z","timestamp":1739535421000},"page":"1-18","source":"Crossref","is-referenced-by-count":1,"title":["Combining Circulating Tumour DNA with Clinical Pathological Risk Factors for Developing Peritoneal Metastasis Prediction Model in Patients with Colorectal Cancer"],"prefix":"10.31083","volume":"86","author":[{"given":"Bohan","family":"Han","sequence":"first","affiliation":[{"name":"Department of Medical Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China"},{"name":"Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huabin","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China"},{"name":"Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Medical 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