Association of preoperative elevated lipoprotein (a) with poor survival in patients with biliary tract cancers

Background Biliary tract cancers have garnered significant attention due to their highly malignant nature. The relationship between abnormal lipid metabolism and tumor occurrence and development is a research hotspot. However, its correlation with biliary tract cancers is unclear. Methods We enrolle...

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Bibliographic Details
Published in:Cancer medicine (Malden, MA) MA), 2024-06, Vol.13 (11), p.e7331-n/a
Main Authors: Fan, Shanshan, Mao, Yihan, Ge, Yang, Liang, Ziwei
Format: Article
Language:English
Subjects:
Adult
Aged
Biliary tract
biliary tract cancers
Biliary tract diseases
Biliary Tract Neoplasms - blood
Biliary Tract Neoplasms - mortality
Biliary Tract Neoplasms - pathology
Biliary Tract Neoplasms - surgery
Biochemical markers
Biomarkers, Tumor - blood
Blood pressure
Body mass index
Cancer therapies
Cholangiocarcinoma
Cholesterol
Diabetes
Female
Gallbladder cancer
High density lipoprotein
Hospitals
Humans
Hyperlipidemia
Hypertension
Kaplan-Meier Estimate
Lipid metabolism
Lipids
lipoprotein (a)
Lipoprotein(a) - blood
Lipoproteins
Low density lipoprotein
Lymphatic system
Male
Medical prognosis
Metabolism
Metastasis
Middle Aged
Neoplasm Staging
Overweight
Patients
Preoperative Period
Prognosis
Regression analysis
Research hot spots
Risk Factors
ROC Curve
Statistical analysis
Survival
Triglycerides
Tumors
Variables
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Summary:Background Biliary tract cancers have garnered significant attention due to their highly malignant nature. The relationship between abnormal lipid metabolism and tumor occurrence and development is a research hotspot. However, its correlation with biliary tract cancers is unclear. Methods We enrolled 78 patients with biliary tract cancers and obtained data on clinical characteristics, pathological findings, and preoperative blood lipid indices, including total cholesterol (TC), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), triglycerides (TG), and lipoprotein (a) [Lp(a)]. Receiver operating characteristic (ROC) curves were used to determine the optimal predictive cutoff values of lipid indicators among the participants. Independent risk factors were determined using Cox regression, and survival was predicted using the Kaplan–Meier method. Statistical analyses were performed using SPSS software. Results Univariate Cox regression analysis revealed that the body mass index (BMI), tumor location, surgical margin, N stage, and abnormally increased LDL‐C, TG, and Lp(a) levels were significantly associated with poor prognosis of biliary tract cancers (p 
ISSN:2045-7634
2045-7634
DOI:10.1002/cam4.7331