110
Views
9
CrossRef citations to date
0
Altmetric
Reviews

Systematic Review and Meta-Analysis of the Prognostic Value of Serum High-Density Lipoprotein Cholesterol Levels for Solid Tumors

, , , , , & show all
Pages 547-556 | Received 06 Sep 2018, Accepted 20 Dec 2018, Published online: 15 Mar 2019
 

Abstract

Numerous studies have demonstrated that serum high-density lipoprotein cholesterol (HDL-C) levels correlate strongly with cancer patient survival. However, other studies have had the opposite results. We therefore conducted a systematic review and meta-analysis to assess the prognostic value of HDL-C levels in people with cancer. We searched PubMed, Embase, and the Cochrane Library (last update by December 28, 2017) for studies evaluating the effect of serum HDL-C levels on cancer patient prognosis. Data from 25 studies covering13,140 patients were included. Combined hazard ratios (HRs) for overall survival (OS) and disease-free survival (DFS) were assessed using fixed-effects and random-effects models. High serum HDL-C levels were associated with better OS (pooled HR = 0.70; 95% confidence interval (CI) (0.60–0.82). In the subgroup, the relative high level of HDL-C yielded a favorable outcome in most of tumor types. However, in the nasopharyngeal carcinoma subgroup, the correlation was not significant (combined HR = 1.31; 95% CI (0.91–1.90)). High serum HDL-C levels were associated with better DFS (pooled HR = 0.64; 95% confidence interval (CI) (0.50–0.81)). This meta-analysis demonstrates that high serum HDL-C levels are associated with better OS in patients with solid tumors, but not nasopharyngeal carcinoma; and high serum HDL-C levels are associated with better DFS.

Authors' Contributions

H.B., B.B. and S.C. designed this study; Y.M. and D.D. searched the databases and collected full-text reports; L.G. and Z.X. collected and analyzed data; H.B. and D.D. wrote the manuscript.

Disclosure Statement

The authors declare that there is no conflict of interest.

Additional information

Funding

This work was supported by the Changzhou High-Level Medical Talent Training Project (No: 2016ZCLJ002).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.