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ORIGINAL RESEARCH article
Front. Nutr.
Sec. Clinical Nutrition
Volume 11 - 2024 |
doi: 10.3389/fnut.2024.1381995
Bidirectional Association Between Perioperative Skeletal Muscle and Subcutaneous Fat in Colorectal Cancer Patients and Their Prognostic Significance
Provisionally accepted- 1 Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China
- 2 School of Public Health, Kunming Medical University, Kunming, Yunnan Province, China
- 3 Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming, China
- 4 Department of Pathology, Yunnan Cancer Hospital, Kunming, Yunnan Province, China
- 5 The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China
- 6 Department of Radiology, Yunnan Cancer Hospital, Kunming, Yunnan Province, China
Introduction: Low skeletal muscle mass and high adipose tissue coexist across the body weight spectrum and independently predict the survival ratio of colorectal cancer (CRC) patients. This combination may lead to a mutually exacerbating vicious cycle. Tumor-associated metabolic conditions primarily affect subcutaneous adipose tissue, but the nature and direction of its relationship with skeletal muscle are unclear. This study aims to test the following hypotheses: (1) There is a bidirectional causal association between skeletal muscle index (SMI) and subcutaneous fat index (SFI) during the perioperative period in CRC patients; (2) Perioperative SMI and SFI are prognostic indicators for CRC patients. Methods: This population-based retrospective cohort study included patients with stage I-III colorectal cancer who underwent radical resection at the Third Affiliated Hospital of Kunming Medical University between September 2012 and February 2019. Based on inclusion and exclusion criteria, 1448 patients were analyzed. Preoperative (T1), 2 months postoperative (T2), and 5 months postoperative (T3) CT scans were collected to evaluate the skeletal muscle index (SMI; muscle area at the third lumbar vertebra divided by height squared) and subcutaneous fat index (SFI; subcutaneous fat area at the third lumbar vertebra divided by height squared). A random intercept cross-lagged panel model (RI-CLPM) was used to examine the intra-individual relationship between 正文, 居中 设置格式[Office]:
Keywords: skeletal muscle index1, subcutaneous fat index2, RI-CLPM3, colorectal cancer4, retrospective cohort5
Received: 04 Feb 2024; Accepted: 26 Aug 2024.
Copyright: © 2024 You, Yan, Liub, Liu, Jiang, Chen, Li, Ma, Li, Duan, You, Huang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Dingyun You, Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, China
Guanghong Yan, School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan Province, China
Lizhu Liub, Department of Pathology, Yunnan Cancer Hospital, Kunming, Yunnan Province, China
Xinyue Jiang, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650031, Yunnan Province, China
Ping Chen, Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming, China
Min Li, Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming, China
Qingyan Ma, Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming, China
Yani Li, Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming, China
Sifan Duan, Yunnan Provincial Key Laboratory of Public Health and Biosafety, School of Public Health, Kunming Medical University, Kunming, China
Ruimin You, Department of Radiology, Yunnan Cancer Hospital, Kunming, Yunnan Province, China
Yanni Huang, Department of Radiology, Yunnan Cancer Hospital, Kunming, Yunnan Province, China
Zhenhui Li, Department of Radiology, Yunnan Cancer Hospital, Kunming, Yunnan Province, China
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