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Diet and clinical outcomes for lung cancer patients

Principal Investigator
Name
Kanran Wang
Degrees
M.D., Ph.D.
Institution
Chongqing University Cancer Hospital
Position Title
Research fellow, attending doctor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1425
Initial CDAS Request Approval
Dec 26, 2023
Title
Diet and clinical outcomes for lung cancer patients
Summary
Unhealthy diets are recognized as a major determinant of the occurrence of Non-communicable diseases (NCDs) and constitutes a serious threat to global health systems. Dietary habits influence many risk factors for cardio-metabolic health, leading to type 2 diabetes, stroke, and heart disease, which are among the leading causes of death globally. At the same time lung cancer is the leading cause of cancer-related death worldwide. Published findings indicate that malnutrition and risk of malnutrition are correlated with time to tumor progression and overall survival. However, the longitudinal effects of diets on clinical outcomes like all-cause mortality, cardiovascular disease, all-cause dementia and Alzheimer’s disease for lung cancer patients remain unclear.

To clarify the relationship between diet and clinical outcomes in lung cancer patients, we intend to conduct a secondary analysis based on The Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. The clinical data and lifestyle were collected. And the diet information was evaluated by 131-item Harvard FFQ. Primary outcome is all-cause mortality, cardiovascular disease, all-cause dementia and Alzheimer’s disease. Multivariable Cox models will be used to estimate the hazard ratios across categories of different food intake, such as whole grain food, ultra-processed food and pro-inflammatory food. These variables are available in the PLCO trial. Our result will benefit the treatment and prevention of clinical events in lung cancer patients and may find the new intervention target and mechanism
Aims

1.Our study seeks to examine the relationship between diet intake, such as whole grain foods, ultra-processed foods and pro-inflammatory foods and clinical outcomes like all-cause mortality, cardiovascular disease, all-cause dementia and Alzheimer’s disease for lung cancer patients.
2.Restricted cubic spline regression was used to calculate the potential dose-response non-linear association between energy-adjusted consumption of diet and clinical outcomes like all-cause mortality, cardiovascular disease, all-cause dementia and Alzheimer’s disease for lung cancer patients.

Collaborators

1.Ying Wang Chongqing University Cancer Hospital, Chongqing, China, 400030
2.Wei Zhou Chongqing University Cancer Hospital, Chongqing, China, 400030
3.Dingyi Yang Chongqing University Cancer Hospital, Chongqing, China, 400030
4.Mao Sun Chongqing University Cancer Hospital, Chongqing, China, 400030
5.Junhan Zhao Harvard T. H. Chan School of Public Health and Harvard Medical School, Boston, MA, USA, 02115