1. Textbook oncological outcome of locally advanced gastric cancer patients with preoperative sarcopenia: a multicenter clinical study.
- Author
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Zhong Q, Zheng ZF, Wu D, Shang-Guan ZX, Liu ZY, Jiang YM, Lin JX, Wang JB, Chen QY, Xie JW, Lin W, Zheng CH, Huang CM, and Li P
- Abstract
Background: The impact of postoperative sarcopenia on the Textbook Oncological Outcome (TOO) in locally advanced gastric cancer (LAGC) remains uncertain. This study investigates the relationship between sarcopenia and TOO, explores its long-term prognostic value, and develops a prognostic model incorporating sarcopenia and TOO for survival prediction., Methods: We performed a retrospective analysis of clinical and pathological data from patients with LAGC who underwent radical surgery at two Chinese tertiary referral hospitals. Sarcopenia was defined as an SMI < 36.4 cm
2 /m2 in males and < 28.4 cm2 /m2 in females. TOO was defined as the addition of perioperative chemotherapy to the textbook outcomes (TO). A nomogram was developed to predict postoperative overall survival (OS) and recurrence-free survival (RFS) in LAGC patients., Results: The study included 972 patients with LAGC. The overall TOO achievement rate was 67.1%. The TOO achievement rate was significantly higher in patients non-sarcopenia compared to those with sarcopenia (68.9% vs. 61.1%, P = 0.031). Logistic regression revealed that age ≥ 65, high ASA score, and sarcopenia were independent risk factors for TOO failure. Cox regression analysis identified TOO, sarcopenia, tumor size, differentiation, vascular invasion, pT stage, and pN stage as independent predictors of OS and RFS. Nomogram models based on sarcopenia and TOO accurately predicted the 3-year and 5-year OS and RFS., Conclusion: Preoperative sarcopenia was an independent predictor of TOO implementation. A prognostic prediction model that integrates preoperative sarcopenia and TOO, which outperforms the current staging system, can aid clinicians in effectively assessing the prognosis of patients with LAGC., Competing Interests: Declarations Disclosures Qing Zhong, Zi-Fang Zheng, Dong Wu, Zhi-Xin Shang-Guan, Zhi-Yu Liu, Yi-Ming Jiang, Jian-Xian Lin, Jia-Bin Wang, Qi-Yue Chen, Jian-Wei Xie, Wei Lin, Chao-Hui Zheng, Chang-Ming Huang, and Ping Li have no conflicts of interest or financial ties to disclose., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)- Published
- 2024
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