Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor

Author:

Sun Lejia,Ji Xin,Wang Dongyue,Guan Ai,Xiao Yao,Xu Haifeng,Du Shunda,Xu Yiyao,Zhao Haitao,Lu Xin,Sang Xinting,Zhong Shouxian,Yang Huayu,Mao YileiORCID

Abstract

Abstract Background Serum lipids were reported to be the prognostic factors of various cancers, but their prognostic value in malignant biliary tumor (MBT) patients remains unclear. Thus we aim to assess and compare prognosis values of different serum lipids, and construct a novel prognostic nomogram based on serum lipids. Methods Patients with a confirmed diagnosis of MBT at our institute from 2003 to 2017 were retrospectively reviewed. Prognosis-related factors were identified via univariate and multivariate Cox regression analyses. Then the novel prognostic nomogram and a 3-tier staging system were constructed based on these factors and further compared to the TNM staging system. Results A total of 368 patients were included in this study. Seven optimal survival-related factors—TC/HDL >  10.08, apolipoprotein B >  0.9 g/L, lipoprotein> 72 mg/L, lymph node metastasis, radical cure, CA199 > 37 U/mL, and tumor differentiation —were included to construct the prognostic nomogram. The C-indexes in training and validation sets were 0.738 and 0.721, respectively. Besides, ROC curves, calibration plots, and decision curve analysis all suggested favorable discrimination and predictive ability. The nomogram also performed better predictive ability than the TNM system and nomogram without lipid parameters. And the staging system based on nomogram also presented better discriminative ability than TNM system (P < 0.001). Conclusions The promising prognostic nomogram based on lipid parameters provided an intuitive method for performing survival prediction and facilitating individualized treatment and was a great complement to the TNM staging system in predicting overall survival.

Funder

CAMS Innovation Fund for Medical Sciences

Tsinghua University-Peking Union Medical College Hospital Cooperation Project

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

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