Cargando…

Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer

OBJECTIVE: A large portion of non-metastatic colorectal cancers (non-mCRCs) recur after curative surgery. In addition to the traditional tumor-related factors, host-related factors are also required to accurately predict prognosis. A few studies have shown an association between the serum lipid prof...

Descripción completa

Detalles Bibliográficos
Autores principales: Hong, Ting-Ting, Shen, Di, Chen, Xiao-Ping, Wu, Xiao-Hong, Hua, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643756/
https://www.ncbi.nlm.nih.gov/pubmed/29063049
http://dx.doi.org/10.1016/j.cdtm.2016.11.015
_version_ 1783271603262455808
author Hong, Ting-Ting
Shen, Di
Chen, Xiao-Ping
Wu, Xiao-Hong
Hua, Dong
author_facet Hong, Ting-Ting
Shen, Di
Chen, Xiao-Ping
Wu, Xiao-Hong
Hua, Dong
author_sort Hong, Ting-Ting
collection PubMed
description OBJECTIVE: A large portion of non-metastatic colorectal cancers (non-mCRCs) recur after curative surgery. In addition to the traditional tumor-related factors, host-related factors are also required to accurately predict prognosis. A few studies have shown an association between the serum lipid profile and the survival and treatment response of patients with colorectal cancer. METHODS: We retrospectively evaluated the prognostic significance of the preoperative serum lipid profile [total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] in patients with non-mCRC treated with curative surgery. The Spearman rank correlation test was used to analyze associations between lipid levels and categorical variables. Lipid levels were modeled as four equal-sized quartiles based on the distribution among the whole cohort. Kaplan-Meier curves were used to estimate survival probabilities, and the log-rank test was used to detect differences between them. Multivariate fractional polynomial (MFP) analysis was used to model any non-linear effects and avoid categorization. To evaluate the added prognostic value of lipids, the predictive power of two models (with and without lipids as covariates) was compared by using Harrell's C-statistic and the Akaike information criterion (AIC). RESULTS: A total of 266 patients with non-mCRC were enrolled in the present study. Spearman rank correlation test showed that TG levels inversely correlated with N stage (r = −0.20, P = 0.00) and Tumor-Node-Metastasis (TNM) stage (r = −0.19, P = 0.00). HDL-C levels positively correlated with perineural invasion (PNI) (r = 0.15, P = 0.02), and LDL-C levels inversely correlated with lymphovascular invasion (LVI) (r = −0.12, P = 0.04). None of the four lipids predicted overall survival (OS) in univariate or multivariate analyses adjusted for age, gender, T stage, N stage, TNM stage, histological grade, tumor deposits, LVI, PNI, and adjuvant treatment (all P > 0.05). In agreement, the Kaplan-Meier curves for OS according to the lipid quartiles were not significantly different, as confirmed by the log-rank test (all P > 0.05). MFP analysis also found no significant associations between lipid levels and OS (all P > 0.05). A prognostic model that included lipids had a higher Harrell's C-statistic and a lower AIC value than did a model that did not include lipids (for Harrell's C-statistic: 0.82 vs. 0.77; for AIC: 398 vs. 432). CONCLUSION: Measuring preoperative serum lipid levels may be a simple and cost-effective way of increasing prognostic accuracy in patients with non-mCRC treated with curative surgery.
format Online
Article
Text
id pubmed-5643756
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher KeAi Publishing
record_format MEDLINE/PubMed
spelling pubmed-56437562017-10-23 Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer Hong, Ting-Ting Shen, Di Chen, Xiao-Ping Wu, Xiao-Hong Hua, Dong Chronic Dis Transl Med Original Article OBJECTIVE: A large portion of non-metastatic colorectal cancers (non-mCRCs) recur after curative surgery. In addition to the traditional tumor-related factors, host-related factors are also required to accurately predict prognosis. A few studies have shown an association between the serum lipid profile and the survival and treatment response of patients with colorectal cancer. METHODS: We retrospectively evaluated the prognostic significance of the preoperative serum lipid profile [total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] in patients with non-mCRC treated with curative surgery. The Spearman rank correlation test was used to analyze associations between lipid levels and categorical variables. Lipid levels were modeled as four equal-sized quartiles based on the distribution among the whole cohort. Kaplan-Meier curves were used to estimate survival probabilities, and the log-rank test was used to detect differences between them. Multivariate fractional polynomial (MFP) analysis was used to model any non-linear effects and avoid categorization. To evaluate the added prognostic value of lipids, the predictive power of two models (with and without lipids as covariates) was compared by using Harrell's C-statistic and the Akaike information criterion (AIC). RESULTS: A total of 266 patients with non-mCRC were enrolled in the present study. Spearman rank correlation test showed that TG levels inversely correlated with N stage (r = −0.20, P = 0.00) and Tumor-Node-Metastasis (TNM) stage (r = −0.19, P = 0.00). HDL-C levels positively correlated with perineural invasion (PNI) (r = 0.15, P = 0.02), and LDL-C levels inversely correlated with lymphovascular invasion (LVI) (r = −0.12, P = 0.04). None of the four lipids predicted overall survival (OS) in univariate or multivariate analyses adjusted for age, gender, T stage, N stage, TNM stage, histological grade, tumor deposits, LVI, PNI, and adjuvant treatment (all P > 0.05). In agreement, the Kaplan-Meier curves for OS according to the lipid quartiles were not significantly different, as confirmed by the log-rank test (all P > 0.05). MFP analysis also found no significant associations between lipid levels and OS (all P > 0.05). A prognostic model that included lipids had a higher Harrell's C-statistic and a lower AIC value than did a model that did not include lipids (for Harrell's C-statistic: 0.82 vs. 0.77; for AIC: 398 vs. 432). CONCLUSION: Measuring preoperative serum lipid levels may be a simple and cost-effective way of increasing prognostic accuracy in patients with non-mCRC treated with curative surgery. KeAi Publishing 2016-12-22 /pmc/articles/PMC5643756/ /pubmed/29063049 http://dx.doi.org/10.1016/j.cdtm.2016.11.015 Text en © 2016 Chinese Medical Association. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Hong, Ting-Ting
Shen, Di
Chen, Xiao-Ping
Wu, Xiao-Hong
Hua, Dong
Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
title Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
title_full Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
title_fullStr Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
title_full_unstemmed Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
title_short Preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
title_sort preoperative serum lipid profile and outcome in nonmetastatic colorectal cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643756/
https://www.ncbi.nlm.nih.gov/pubmed/29063049
http://dx.doi.org/10.1016/j.cdtm.2016.11.015
work_keys_str_mv AT hongtingting preoperativeserumlipidprofileandoutcomeinnonmetastaticcolorectalcancer
AT shendi preoperativeserumlipidprofileandoutcomeinnonmetastaticcolorectalcancer
AT chenxiaoping preoperativeserumlipidprofileandoutcomeinnonmetastaticcolorectalcancer
AT wuxiaohong preoperativeserumlipidprofileandoutcomeinnonmetastaticcolorectalcancer
AT huadong preoperativeserumlipidprofileandoutcomeinnonmetastaticcolorectalcancer