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Relationship Between Clinical Features and Distant Metastases in Rectal Cancer Predicted Based on a Nomogram: a Retrospective Cohort Study

Overview
Journal Sci Rep
Specialty Science
Date 2024 Dec 29
PMID 39732932
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Abstract

Rectal cancer is a prevalent global malignancy. Recurrence and metastasis significantly impact patient survival over the long term. This study aims to identify independent risk factors associated with distant metastases in rectal cancer (RC) patients and develop a prognostic columnar-line diagram. This retrospective analysis encompasses data from 1,118 RC patients treated at the Department of Anorectal Surgery, Chifeng Municipal Hospital, between December 2015 and October 2023. These patients were diagnosed with stage I-IV RC. Univariate and multivariate Cox proportional hazard regression models identified risk factors for distant metastases development. The median follow-up duration was 61.3 months (range 2.24-96.33 months). The identified factors linked to distant metastases in RC included hemoglobin levels, body mass index (BMI), leukocyte neutrophil percentage, tumour diameter, pathology type, differentiation degree, number of detected lymph nodes, and T and N stages. These factors are significant risk indicators for distant metastases in RC patients. Incorporating these identified risk factors into a columnar-line diagram effectively predicts the likelihood of distant metastasis in RC patients. This approach aids in devising precise treatment strategies during the initial patient consultation.

References
1.
Umit Unal O, Akay S, Semiz H, Keser M, Demir G, Capar Z . Survival outcomes according to the tumor location and prognostic factor in metastatic rectal cancer: a multicenter retrospective cohort study. Front Oncol. 2024; 14:1363305. PMC: 11211582. DOI: 10.3389/fonc.2024.1363305. View

2.
Sjoquist K, Renfro L, Simes R, Tebbutt N, Clarke S, Seymour M . Personalizing Survival Predictions in Advanced Colorectal Cancer: The ARCAD Nomogram Project. J Natl Cancer Inst. 2017; 110(6):638-648. PMC: 6005015. DOI: 10.1093/jnci/djx253. View

3.
Shen S, Haupt B, Ro J, Zhu J, Bailey H, Schwartz M . Number of lymph nodes examined and associated clinicopathologic factors in colorectal carcinoma. Arch Pathol Lab Med. 2009; 133(5):781-6. DOI: 10.5858/133.5.781. View

4.
Cheng L, Chen J, Chen S, Wei Z, Yu L, Han S . Distinct Prognosis of High Versus Mid/Low Rectal Cancer: a Propensity Score-Matched Cohort Study. J Gastrointest Surg. 2019; 23(7):1474-1484. DOI: 10.1007/s11605-018-04072-1. View

5.
Guan X, Jiao S, Wen R, Yu G, Liu J, Miao D . Optimal examined lymph node number for accurate staging and long-term survival in rectal cancer: a population-based study. Int J Surg. 2023; 109(8):2241-2248. PMC: 10442141. DOI: 10.1097/JS9.0000000000000320. View