Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Obesity has been proposed as a potential protective factor against lung cancer. We examined the association between BMI and lung cancer risk in a pooled analysis based on nested case-control studies from four cohort studies.

Methods: A case-control study was nested within four cohorts in USA, Europe, China and Singapore that included 4172 cases and 8471 control subjects. BMI at baseline was calculated as weight in kilograms divided by height in meters squared (kg/m), and classified into 4 categories: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (≥30). Odds ratios (ORs) and 95% confidence intervals (CIs) for BMI-lung cancer associations were estimated using unconditional logistic regression, adjusting for potential confounders.

Results: Considering all participants, and using normal weight as the reference group, a decreased risk of lung cancer was observed for those who were overweight (OR 0.77, 95% CI: 0.68-0.86) and obese (OR 0.69, 95% CI: 0.59-0.82). In the stratified analysis by smoking status, the decreased risk for lung cancer was observed among current, former and never smokers (P for interaction 0.002). The adjusted ORs for overweight and obese groups were 0.79 (95% CI: 0.68-0.92) and 0.75 (95% CI: 0.60-0.93) for current smokers, 0.70 (95% CI: 0.53-0.93) and 0.55 (95% CI: 0.37-0.80) for former smokers, 0.77 (95% CI: 0.59-0.99), and 0.71 (95% CI: 0.44-1.14) for never smokers, respectively. While no statistically significant association was observed for underweight subjects who were current smokers (OR 1.24, 95% CI: 0.98-1.58), former smokers (OR 0.27, 95% CI: 0.12-0.61) and never smokers (OR 0.83, 95% CI: 0.5.-1.28).

Conclusion: The results of this study provide additional evidence that obesity is associated with a decreased risk of lung cancer. Further biological studies are needed to address this association.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824613PMC
http://dx.doi.org/10.1186/s12885-018-4124-0DOI Listing

Publication Analysis

Top Keywords

lung cancer
12
cancer risk
8
risk pooled
8
pooled analysis
8
analysis based
8
based nested
8
nested case-control
8
case-control studies
8
studies cohort
8
body mass
4

Similar Publications

The survival analysis of stage III and IV inoperable lung large cell neuroendocrine carcinoma and the role of LIPI in immunological stratification.

Lung Cancer

August 2025

The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou, China; Guangzhou Institute of Respiratory Health, Guangzhou, C

Background: Large cell neuroendocrine carcinoma (LCNEC) represents a rare and unique type of lung tumor with an unfavorable prognosis. It is essential to summarize the treatment modalities and prognosis for inoperable stage III and IV LCNEC, explore the role of frontline immunotherapy, and examine the stratification role of the Lung Immune Prognostic Index (LIPI) and its relationship with the tumor microenvironment (TME).

Methods: This study retrospectively analyzed 160 patients with inoperable lung LCNEC (L-LCNEC) admitted to three hospitals from December 2012 to November 2023.

View Article and Find Full Text PDF

Introduction: Psychiatric comorbidities are increasingly recognized in patients with thoracic malignancies. We undertook this scoping review to characterize the management of thoracic malignancies in patients with psychiatric illness and uncover any disparities in operative treatment or perioperative outcomes.

Methods: We conducted a scoping review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

View Article and Find Full Text PDF

Identifying meaningful drug response biomarkers from public pharmacogenomic datasets with biologically informed interpretable neural networks.

Comput Biol Chem

September 2025

Faculty of Health Sciences, University of Macau, Avenida de Universidade, Taipa, Macao Special Administrative Region of China. Electronic address:

With the advancements of next-generation sequencing, publicly available pharmacogenomic datasets from cancer cell lines provide a handle for developing predictive models of drug responses and identifying associated biomarkers. However, many currently available predictive models are often just used as black boxes, lacking meaningful biological interpretations. In this study, we made use of open-source drug response data from cancer cell lines, in conjunction with KEGG pathway information, to develop sparse neural networks, K-net, enabling the prediction of drug response in EGFR signaling pathways and the identification of key biomarkers.

View Article and Find Full Text PDF

Background: Amrubicin monotherapy has been used in Japan for patients with refractory, relapsed, small cell lung cancer (SCLC). However, the clinical guidelines do not specify a recommended initial dose for elderly patients. This retrospective study aimed to explore the appropriate initial dose of amrubicin for elderly patients with refractory, relapsed SCLC.

View Article and Find Full Text PDF

Label-free immunoassay based on chemiluminescence-functionalized magnetic mesoporous nanoparticles for rapid detection of neuron-specific enolase.

Mikrochim Acta

September 2025

The Third Affiliated Hospital of Anhui Medical University, The First People's Hospital of Hefei, Binhu Hospital of Hefei, Hefei, 230061, P. R. China.

Lung cancer, as one of the cancers with the highest morbidity and mortality rates in the world, requires accurate detection of its vital serum marker, neuron-specific enolase (NSE), which is a key challenge for early detection of lung cancer. However, traditional chemiluminescence immunoassay (CLIA) methods rely on labeled antibodies (Abs) and suffer from complex operations and high costs. In this work, a label-free CLIA based on CL-functionalized mesoporous magnetic nanoparticles (CuFeO@mSiO-Cys-Luminol-Au NPs) is developed for the rapid and sensitive detection of NSE.

View Article and Find Full Text PDF