Circulating C‐reactive protein increases lung cancer risk: Results from a prospective cohort of UK Biobank

2021 ◽  
Author(s):  
Mengmeng Ji ◽  
Lingbin Du ◽  
Zhimin Ma ◽  
Junxing Xie ◽  
Yanqian Huang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Prospective Cohort ◽  
Lung Cancer Risk ◽  
Uk Biobank ◽  
C Reactive Protein ◽  
Reactive Protein

Cardiorespiratory fitness, C-reactive protein and lung cancer risk: A prospective population-based cohort study

2015 ◽  
Vol 51 (11) ◽  
pp. 1365-1370 ◽  
Author(s):  
Perfenia Paul Pletnikoff ◽  
Jari A. Laukkanen ◽  
Tomi-Pekka Tuomainen ◽  
Jussi Kauhanen ◽  
Rainer Rauramaa ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cohort Study ◽  
Cancer Risk ◽  
Cardiorespiratory Fitness ◽  
Lung Cancer Risk ◽  
Population Based ◽  
C Reactive Protein ◽  
Reactive Protein

scholarly journals C-Reactive Protein and Risk of Lung Cancer

2010 ◽  
Vol 28 (16) ◽  
pp. 2719-2726 ◽  
Author(s):  
Anil K. Chaturvedi ◽  
Neil E. Caporaso ◽  
Hormuzd A. Katki ◽  
Hui-Lee Wong ◽  
Nilanjan Chatterjee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Smoking Status ◽  
Lung Carcinogenesis ◽  
C Reactive Protein ◽  
Baseline Serum ◽  
Reactive Protein ◽  
Former Smokers

Purpose Chronic inflammation could play a role in lung carcinogenesis, underscoring the potential for lung cancer prevention and screening. We investigated the association of circulating high-sensitivity C-reactive protein (CRP, an inflammation biomarker) and CRP single nucleotide polymorphisms (SNPs) with prospective lung cancer risk. Patients and Methods We conducted a nested case-control study of 592 lung cancer patients and 670 controls with available prediagnostic serum and 378 patients and 447 controls with DNA within the screening arm of the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (N = 77,464). Controls were matched to patients on age, sex, entry year, follow-up time, and smoking. We measured CRP levels in baseline serum samples and genotyped five common CRP SNPs. Results Elevated CRP levels were associated with increased lung cancer risk (odds ratio [OR], 1.98; 95% CI, 1.35 to 2.89; P-trend < .001 for fourth quartile [Q4, ≥ 5.6 mg/L] v Q1 [< 1.0 mg/L]). The CRP association did not differ significantly by histology, follow-up time, or smoking status, but was most apparent for squamous cell carcinomas (OR, 2.92; 95% CI, 1.30 to 6.54), 2 to 5 years before lung cancer diagnosis (OR, 2.33; 95% CI, 1.24 to 4.39), and among former smokers (OR, 2.48; 95% CI, 1.53 to 4.03) and current smokers (OR, 1.90; 95% CI, 1.06 to 3.41). Although CRP SNPs and haplotypes were associated with CRP levels, they were not associated with lung cancer risk. Ten-year standardized absolute risks of lung cancer were higher with elevated CRP levels among former smokers (Q4: 2.55%; 95% CI, 1.98% to 3.27% v Q1: 1.39%; 95% CI, 1.07% to 1.81%) and current smokers (Q4: 7.37%; 95% CI, 5.81% to 9.33% v Q1: 4.03%; 95% CI, 3.01% to 5.40%). Conclusion Elevated CRP levels are associated with subsequently increased lung cancer risk, suggesting an etiologic role for chronic pulmonary inflammation in lung carcinogenesis.

scholarly journals C-Reactive Protein, Interleukin 6 and Lung Cancer Risk: A Meta-Analysis

PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e43075 ◽  
Author(s):  
Bo Zhou ◽  
Jing Liu ◽  
Ze-Mu Wang ◽  
Tao Xi
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Interleukin 6 ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
C Reactive Protein ◽  
Reactive Protein

Abstract 3445: C-reactive protein and lung cancer risk: a Mendelian randomization analysis

2016 ◽  
Author(s):  
Orestis A. Panagiotou ◽  
Neil E. Caporaso ◽  
Maria T. Landi ◽  
Nilanjan Chatterjee ◽  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Mendelian Randomization ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

Abstract 4162: Circulating C-reactive protein and lung cancer risk: A nested case-control study in the Southern Community Cohort Study

2014 ◽  
Author(s):  
Jie Wu ◽  
Wei Zheng ◽  
Wanqing Wen ◽  
Margaret K. Hargreaves ◽  
William J. Blot ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cohort Study ◽  
Cancer Risk ◽  
Case Control Study ◽  
Lung Cancer Risk ◽  
Case Control ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Nested Case Control ◽  
Control Study

scholarly journals Triglyceride-Glucose Index Is Not Associated With Lung Cancer Risk: A Prospective Cohort Study in the UK Biobank

2021 ◽  
Vol 11 ◽  
Author(s):  
Lijie Wang ◽  
Shucheng Si ◽  
Jiqing Li ◽  
Yunxia Li ◽  
Xiaolu Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Prospective Cohort ◽  
Lung Cancer Risk ◽  
Cox Regression ◽  
Uk Biobank ◽  
Joint Effects ◽  
Tyg Index ◽  
The Uk ◽  
The Relationship

BackgroundThe triglyceride-glucose (TyG) index is a practical substitute measure for insulin resistance (IR). The relationship between IR and lung cancer has been examined in previous studies; however, the findings have been controversial. In addition, previous studies had small sample sizes. Thus, we systematically examined the association between IR and lung cancer risk based on the UK Biobank with IR measured by the TyG index and further examined the interactions and joint effects for lung cancer.MethodsA total of 324,334 individuals free from any type of cancer at recruitment from the UK Biobank prospective cohort were included. The participants were predominantly between 40 and 70 years old. After adjusting for relevant confounders, multivariable Cox regression models were constructed to examine the relationship between the TyG index and the risk of lung cancer. We also checked the interactions and joint effects using a polygenic risk score (PRS) for lung cancer.ResultsDuring a median follow-up of 9 years, 1,593 individuals were diagnosed with lung cancer. No association was found between the TyG index and lung cancer risk after multivariate Cox regression analysis adjusted for risk factors (hazard ratio: 0.91; 95% confidence interval: 0.64–1.18). No interaction or joint effects for genetic risk and the TyG index were observed.ConclusionThe TyG index was not associated with the risk of lung cancer. Our results provide limited evidence that IR is not correlated with the risk of lung cancer.

scholarly journals Artificial neural networks improve LDCT lung cancer screening: a comparative validation study

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yin-Chen Hsu ◽  
Yuan-Hsiung Tsai ◽  
Hsu-Huei Weng ◽  
Li-Sheng Hsu ◽  
Ying-Huang Tsai ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Positive Predictive Value ◽  
Prediction Model ◽  
Negative Predictive Value ◽  
Validation Study ◽  
Predictive Value ◽  
Prospective Cohort ◽  
Lung Cancer Risk ◽  
Comparative Validation

Abstract Background This study proposes a prediction model for the automatic assessment of lung cancer risk based on an artificial neural network (ANN) with a data-driven approach to the low-dose computed tomography (LDCT) standardized structure report. Methods This comparative validation study analysed a prospective cohort from Chiayi Chang Gung Memorial Hospital, Taiwan. In total, 836 asymptomatic patients who had undergone LDCT scans between February 2017 and August 2018 were included, comprising 27 lung cancer cases and 809 controls. A derivation cohort of 602 participants (19 lung cancer cases and 583 controls) was collected to construct the ANN prediction model. A comparative validation of the ANN and Lung-RADS was conducted with a prospective cohort of 234 participants (8 lung cancer cases and 226 controls). The areas under the curves (AUCs) of the receiver operating characteristic (ROC) curves were used to compare the prediction models. Results At the cut-off of category 3, the Lung-RADS had a sensitivity of 12.5%, specificity of 96.0%, positive predictive value of 10.0%, and negative predictive value of 96.9%. At its optimal cut-off value, the ANN had a sensitivity of 75.0%, specificity of 85.0%, positive predictive value of 15.0%, and negative predictive value of 99.0%. The area under the ROC curve was 0.764 for the Lung-RADS and 0.873 for the ANN (P = 0.01). The two most important predictors used by the ANN for predicting lung cancer were the documented sizes of partially solid nodules and ground-glass nodules. Conclusions Compared to the Lung-RADS, the ANN provided better sensitivity for the detection of lung cancer in an Asian population. In addition, the ANN provided a more refined discriminative ability than the Lung-RADS for lung cancer risk stratification with population-specific demographic characteristics. When lung nodules are detected and documented in a standardized structured report, ANNs may better provide important insights for lung cancer prediction than conventional rule-based criteria.

scholarly journals Copy Number Variants of GSTM1 and GSTT1 in Relation to Lung Cancer Risk in a Prospective Cohort Study

2009 ◽  
Vol 19 (8) ◽  
pp. 546-552 ◽  
Author(s):  
Tram Kim Lam ◽  
Ingo Ruczinski ◽  
Kathy Helzlsouer ◽  
Yin Yao Shugart ◽  
Kelly E. Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cohort Study ◽  
Cancer Risk ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Copy Number ◽  
Lung Cancer Risk ◽  
Copy Number Variants

scholarly journals Mitochondrial DNA copy number and lung cancer risk in a prospective cohort study

2010 ◽  
Vol 31 (5) ◽  
pp. 847-849 ◽  
Author(s):  
H. D. Hosgood ◽  
C. S. Liu ◽  
N. Rothman ◽  
S. J. Weinstein ◽  
M. R. Bonner ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Mitochondrial Dna ◽  
Cohort Study ◽  
Cancer Risk ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Copy Number ◽  
Lung Cancer Risk ◽  
Dna Copy Number ◽  
Mitochondrial Dna Copy Number
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