Independent and joint associations of blood lipids and lipoproteins with lung cancer risk in Chinese males: A prospective cohort study

Lyu, Zhangyan; Ni, Li; Wang, Gang; Feng, Xiaoshuang; Chen, Shuohua; Su, Kai; Li, Fang; Wei, Luopei; Li, Xin; Xie, Shuanghua; Guo, Lanwei; Chen, Yuheng; Tan, Fengwei; Yin, Jian; Cui, Hong; Chen, Hongda; Jiang, Li; Ren, Jiansong; Shi, Jufang; Wu, Shouling; Dai, Min; He, Jie

doi:10.1002/ijc.32051

Cited by 46 publications

(60 citation statements)

References 42 publications

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“…Moreover, as for the lipids profiles, recent evidence indicated that higher high-density lipoprotein cholesterol level is protective against the lung cancer, whereas higher triglyceride is associated with higher lung cancer incidence [ 36 ], and these findings are confirmed by a subsequent case–control study in Chinese patients with and without non-small cell lung cancer [ 37 ]. However, a recent prospective cohort study showed that the association between triglyceride and lung cancer risk may be more complicated than expected and presented as a U-shaped association [ 38 ]. In addition, results regarding the association between hypertension and lung cancer risk are inconsistent.…”

Section: Discussionmentioning

confidence: 99%

Metabolic syndrome and the incidence of lung cancer: a meta-analysis of cohort studies

Qiao

et al. 2020

Diabetol Metab Syndr

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Background Metabolic syndrome (MetS) has been related to the pathogenesis of variety categories of cancers. This meta-analysis aimed to determine the association between MetS and the incidence of lung cancer. Methods Relevant cohort studies were identified by search of PubMed, Embase, and Cochrane’s Library databases. Cochrane’s Q test and I2 statistic were used to analyze the heterogeneity. Random-effect model which incorporates the potential heterogeneity was used for the meta-analysis. Results Five cohort studies with 188,970 participants were included. A total of 1,295 lung cancer cases occurred during follow-up. Meta-analyses showed that neither MetS defined by the revised NCEP-ATP III criteria (hazard ratio [HR]: 0.94, 95% confidence interval [CI]: 0.84 to 1.05, p = 0.25; I2 = 0) nor the IDF criteria (HR: 0.82, 95% CI: 0.61 to 1.11, p = 0.20; I2 = 0) was associated with an affected risk of lung cancer. Subgroup analyses showed consistent results in women and in men, in studies performed in Asian and non-Asian countries, and in prospective and retrospective cohorts (p all > 0.05). Meta-analysis limited to studies with the adjustment of smoking status also showed similar results (HR: 0.91, 95% CI: 0.80 to 1.05, p = 0.21; I2 = 0). No publication bias was detected based on the Egger regression test (p = 0.32). Conclusions Current evidence from cohort studies does not support that MetS is an independent risk factor for the incidence of lung cancer.

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Section: Discussionmentioning

confidence: 99%

Metabolic syndrome and the incidence of lung cancer: a meta-analysis of cohort studies

Qiao

et al. 2020

Diabetol Metab Syndr

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“…The Hexokinase method was used for the measurement of fasting blood glucose (FBG). The details of the measurement of blood lipids, including total cholesterol (TC), triglycerides (TG), low‐density lipoprotein cholesterol (LDL‐C), and high‐density lipoprotein cholesterol (HDL‐C) have been introduced in previously published studies 42 …”

Section: Methodsmentioning

confidence: 99%

“…We followed participants beginning at the baseline examination and ending at the occurrence of cancer, death, or 31 December 2015, whichever event came first. The details of cohort follow‐up and cancer assessment have been published previously 42. In brief, people with cancer were identified through biennial health examinations and annual searches of the Tangshan medical insurance system and the Kailuan social security system.…”

Section: Methodsmentioning

confidence: 99%

“…There have been several lung cancer risk prediction models, primarily on the basis of established risk factors such as smoking, occupational exposures, family history of lung cancer, and respiratory diseases 8‐40 . Previous studies have shown that lipids and high‐sensitivity C‐reactive protein (hsCRP) were predictive of lung cancer risk 41,42 . However, evidence on the predictive performance of these markers in lung cancer beyond smoking‐based epidemiological models is limited.…”

Section: Introductionmentioning

confidence: 99%

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Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population

Lyu

Chen

et al. 2020

Cancer Medicine

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Background: Low-dose computed tomography screening has been proved to reduce lung cancer mortality, however, the issues of high false-positive rate and overdiagnosis remain unsolved. Risk prediction models for lung cancer that could accurately identify high-risk populations may help to increase efficiency. We thus sought to develop a risk prediction model for lung cancer incorporating epidemiological and metabolic markers in a Chinese population. Methods: During 2006 and 2015, a total of 122 497 people were observed prospectively for lung cancer incidence with the total person-years of 976 663. Stepwise multivariable-adjusted logistic regressions with P entry = .15 and P stay = .20 were conducted to select the candidate variables including demographics and metabolic markers such as high-sensitivity C-reactive protein (hsCRP) and low-density lipoprotein cholesterol (LDL-C) into the prediction model. We used the C-statistic to evaluate discrimination, and Hosmer-Lemeshow tests for calibration. Tenfold cross-validation was conducted for internal validation to assess the model's stability. Results: A total of 984 lung cancer cases were identified during the follow-up.The epidemiological model including age, gender, smoking status, alcohol intake status, coal dust exposure status, and body mass index generated a C-statistic of 0.731. The full model additionally included hsCRP and LDL-C showed significantly better discrimination (C-statistic = 0.735, P = .033). In stratified analysis, the full model showed better predictive power in terms of C-statistic in younger participants (<50 years, 0.709), females (0.726), and former or current smokers (0.742). The model calibrated well across the deciles of predicted risk in both the overall population (P HL = .689) and all subgroups. |Conclusions: We developed and internally validated an easy-to-use risk prediction model for lung cancer among the Chinese population that could provide guidance for screening and surveillance. K E Y W O R D Slung cancer, metabolic markers, prospective study, risk prediction model

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“…Our data were obtained from the Kailuan Cohort Study of China, which is a health examination of employees of the Kailuan Company in Tangshan City in Hebei Province, about 90 miles southeast of Beijing. In the past few decades, Kailuan Group has developed a comprehensive company that manages coal production, machine manufacturing, transportation, chemical production, education, and healthcare, etc The methodology for the Kailuan study have been described previously . In short, since May 2006, more than 13 000 people over the age of 18 have participated in biennial questionnaire interviews and clinical examinations at 11 hospitals affiliated with Kailuan Company.…”

Section: Methodsmentioning

confidence: 99%

Development of a risk score for colorectal cancer in Chinese males: A prospective cohort study

et al. 2019

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To build a simple predictive model as a guide to stratify average-risk population for colonoscopy examinations. We collected data from 92 923 males without a prior history of cancer enrolled in the Kailuan Cohort Study of China. Risk factors included in the evaluation of colorectal cancer (CRC) were collected by questionnaire-based interviews at the baseline. Logistic regression coefficients for incident CRC predictors were converted into risk scores by the absolute value of the smallest coefficient in the model and rounding up to the nearest integer. Receiver operating characteristic (ROC) analysis with the leave-one-out cross-validation method was applied to evaluate model performance. In the 10-year follow-up, 353 CRC patients were in the cohort. Age, alcohol consumption, waist circumference, occupational sitting time, and history of diabetes were selected for the scoring system, and the adjusted area under the ROC was 0.66. Population in the highest risk group (16-19 points) had a 33.12-fold (95% CI: 13.44-81.59) higher risk of CRC than those in the lowest risk group. When we defined 13 points as the cut-off, the sensitivity and specificity of the scoring system for CRC were 67.99% and 62.42%, respectively. A simple scoring system for CRC has been developed to identify men at an increased relative risk of CRC within 10 years using several well-established risk factors, which allows selection of asymptomatic candidates for priority of CRC screening and saving the health resource in cancer prevention and control.

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Independent and joint associations of blood lipids and lipoproteins with lung cancer risk in Chinese males: A prospective cohort study

Cited by 46 publications

References 42 publications

Metabolic syndrome and the incidence of lung cancer: a meta-analysis of cohort studies

Metabolic syndrome and the incidence of lung cancer: a meta-analysis of cohort studies

Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population

Development of a risk score for colorectal cancer in Chinese males: A prospective cohort study

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