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Principal Investigator
Name
kai ma
Institution
west china hospital
Position Title
Master Degree Candidate
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1397
Initial CDAS Request Approval
Dec 4, 2023
Title
Association between the diets and nutrition and the risk of prostate, renal and bladder cancer
Summary
Prostate cancer (PCa) exhibits significant regional variations in its occurrence, which can be attributed to disparities in dietary practices. Nutrients, such as fats, proteins, carbohydrates, vitamins (A, D, and E), and polyphenols, have the potential to influence both the development and progression of PCa. This study aims to investigate the role of dietary and lifestyle factors, particularly plant-based diets, as potential indicators of prostate cancer risk. The research will employ a quantitative, non-experimental, correlational design using historical observations collected from controlled trials.

Kidney cancer, comprising 1.7 percent of all malignant diseases diagnosed worldwide. Plant-based diets are characterized by a reduction or elimination of animal product consumption. This study aims to investigate the role of Plant-based diets as potential indicators of prostate cancer risk. The research will employ a quantitative, non-experimental, correlational design using historical observations collected from controlled trials.

UBC is the 7th most common cancer worldwide in men and the 17th most common cancer worldwide in women. Plant-based diets are characterized by a reduction or elimination of animal product consumption. This study aims to investigate the role of Plant-based diets as potential indicators of bladder cancer risk. The research will employ a quantitative, non-experimental, correlational design using historical observations collected from controlled trials.
Aims

Aims to use data science-based quantitative analysis to investigate whether dietary and lifestyle factors can be considered predictors of prostate cancer risk.
Aims to examine the correlation between specific dietary and lifestyle factors and prostate cancer risk using correlational analysis.
Aims to assess the effectiveness of at least three predictive models using the selected dietary and lifestyle factors as predictors.
Aims to contribute to the development of preventive methods within the wider scope of achieving precision oncology goals.
Aims to raise awareness about the crucial risk factors in order to decrease the occurrence and death rates among targeted populations.
Aims to use data science-based quantitative analysis to investigate whether Plant-based diets can be considered predictors of renal cancer risk.
Aims to use data science-based quantitative analysis to investigate whether Plant-based diets can be considered predictors of bladder cancer risk.

Collaborators

Xiaoyang Liu, Pan Song, Qiang Dong :West China Hospital of Sichuan University