{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:30:22Z","timestamp":1760956222886,"version":"3.41.2"},"reference-count":38,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","license":[{"start":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T00:00:00Z","timestamp":1736467200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,10]]},"abstract":"<jats:p>Colorectal cancer is one of the most common malignant tumors in the world, and about 50% of its advanced patients will have liver metastasis. Preoperative assessment of the risk of liver metastasis in patients with colorectal cancer is of great significance for making individualized treatment plans. Traditional imaging examinations and tumor markers have some limitations in predicting the risk of liver metastasis. Therefore, it is of great clinical value to explore more sensitive and specific predictive indicators for improving early detection and treatment effect. In recent years, circulating tumor cells (CTCs), as a new biomarker, have attracted much attention because of their close relationship with tumor metastasis and prognosis. The purpose of this study is to collect and analyze the data of colorectal cancer patients treated in our hospital, so as to determine the predictive value of circulating tumor cells before operation and related hematological indexes for liver metastasis after radical resection of colorectal cancer, and to establish the corresponding prediction model to provide gastrointestinal surgeons with more accurate identification of high-risk patients and guidance for treatment. A total of 88 patients were included in this study, and 26 of whom developed liver metastasis after colorectal cancer surgery. The possible related factors are included in the single factor logistic regression, and the results are obtained after analysis. Body mass index, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9, tumor marker CA72-4 (CA72-4), cytokeratin-7 (CK-7), CTC count, and neutrophil-to-lymphocyte ratio (<jats:italic toggle=\"yes\">P<\/jats:italic>\u2005&lt;\u2005.2) are risk factors for liver metastasis after radical resection of colorectal cancer. Furthermore, the data obtained were included in multivariate regression analysis, and CEA, CA72-4, CK-7, and CTC counts were independent risk factors for liver metastasis after radical resection of colorectal cancer (<jats:italic toggle=\"yes\">P<\/jats:italic>\u2005&lt;\u2005.05). This study confirmed that CEA, CA72-4, CK-7, and CTC counts are independent risk factors for liver metastasis after radical resection of colorectal cancer. In addition, the prediction model of this study can help gastrointestinal surgeons accurately identify patients who are prone to liver metastasis after colorectal cancer surgery.<\/jats:p>","DOI":"10.1097\/md.0000000000041264","type":"journal-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T15:05:09Z","timestamp":1736521509000},"page":"e41264","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":3,"title":["Predictive value of preoperative circulating tumor cells combined with hematological indexes for liver metastasis after radical resection of colorectal cancer"],"prefix":"10.1097","volume":"104","author":[{"given":"Tianyi","family":"Zhu","sequence":"first","affiliation":[{"name":"Department of Clinical Laboratory, The Third Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunsong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of General Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Clinical Laboratory, The Third Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingjing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Clinical Laboratory, The Third Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9674-7170","authenticated-orcid":false,"given":"Wentao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang City, Hebei Province, China."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"276","reference":[{"key":"R1-20250717","doi-asserted-by":"crossref","first-page":"229","DOI":"10.3322\/caac.21834","article-title":"Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.","volume":"74","author":"Bray","year":"2024","journal-title":"CA Cancer J Clin"},{"key":"R2-20250717","doi-asserted-by":"crossref","first-page":"12","DOI":"10.3322\/caac.21820","article-title":"Cancer statistics, 2024.","volume":"74","author":"Siegel","year":"2024","journal-title":"CA Cancer J 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