Elevated levels of total cholesterol and high-density lipoprotein cholesterol are associated with better prognosis in patients with lung adenocarcinoma: a retrospective cohort study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: As is well known, lipids play an important role in cellular metabolism and storage, and they have a significant impact on signal transduction during the growth and metastasis of cancer cells. Our study aimed to evaluate the role of the preoperative plasma lipid profile, including triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) in prognosis, and to develop nomograms to predict overall survival (OS) and disease-free survival (DFS) based on the preoperative plasma lipid profile for patients with lung adenocarcinoma (LUAD) after complete resection. Methods: Clinical data, including preoperative plasma profile levels, were retrospectively collected and reviewed in 304 patients with LUAD who underwent radical lung resection between 2016-2017. Approval of the study protocol was obtained from the Academic Ethics Committee of Shaoxing People's Hospital, and follow-up on all patients was completed in the clinic or by telephone. The OS and DFS were assessed by the Kaplan-Meier method and the Cox proportional hazards regression model. Clinicopathological factors and preoperative plasma lipid profile factors were integrated to construct nomograms. Calibration plots and concordance indexes (C-indexes) were used to evaluate the accuracy and discrimination of the models. Results: 0.700; P=0.002) was significantly lower when preoperative plasma lipid profile factors were excluded. These findings indicated that TC and HDL-C levels are associated with the prognosis in patients with LUAD. Conclusions: In patients with LUAD, increased TC levels may predict better OS, while decreased levels of HDL-C may predict worse outcomes for both DFS and OS. These findings may aid in the identification of high-risk patients and allow them to take necessary measures in advance.
Source: Translational Cancer Research
DOI: 10.21037/tcr-24-1062
Institutions: Shaoxing People's Hospital, Zhejiang University
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409353482