Objective Lipids have been evaluated for their possible role in cancer survival prediction. The aim of the current study was to investigate the prognostic value of lipids on overall survival for stage IB1-IIA2 cervical cancer patients.
Methods A retrospective study including cervical cancer patients with early-stage (FIGO 2009 stage IB1-IIA2) disease was conducted from January 2012 to February 2017. Patients with any history of liver disease or other cancers, and patients who took any medications known to influence lipid metabolism, were excluded. We measured various factors in patients' lipid profiles including total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein, and assessed these four parameters together with clinicopathological features to identify the significant prognostic factors for overall survival.
Results A total of 583 patients with median age 53 (range 25–82) years were included. Among them, 283 (48.5%) patients were in FIGO stage IB1, 44 patients (7.6%) in stage IB2, 189 (32.4%) patients in stage IIA1, and the remaining 67 (11.5%) patients were in stage IIA2. Using univariable Cox proportional hazard analysis and subsequent multivariable analysis, total cholesterol, triglycerides, and pelvic lymph node status were shown to be independent prognostic factors for overall survival (p<0.05 for all). Furthermore, the results of the Kaplan–Meier survival curves showed that both the high total cholesterol group and the high triglycerides group were associated with worse overall survival (p=0.002 and p=0.001, respectively)
Conclusions Our study showed that total triglycerides and total cholesterol may serve as potential predictors for overall survival in patients with cervical cancer. Cervical cancer patients may benefit from treatments after adjusting their triglycerides and total cholesterol levels.
- cervical cancer
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FL and RZ contributed equally.
Contributors FL, XY, FQ: conceptualization, data curation, writing original draft preparation, manuscript preparation, supervision. RZ: data collection. CY: data analysis and interpretation. YS: statistical analysis. All authors read and approved the final manuscript.
Funding This work was supported by the Natural Science Foundation of China Project (grant number 81803781) and Zhejiang Provincial Natural Science Foundation Project (grant number LQ18H280007).
Competing interests None declared.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data availability statement Study data are available upon reasonable request from Dr Feng Lin (firstname.lastname@example.org).
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