Dr. Navaneethan C

B.E., M.E., Ph.D.

Vellore Institute of Technology

Associate Professor

PLCO (Learn more about this study)

PLCO-823

Sep 14, 2021

Farm meat and processed meat consumption-based Colorectal Cancer risk prediction.

Cancer is a horrific disease that causes more deaths every year, responsible for around one in every six deaths worldwide, and cancer caused 10 million deaths in 2020 [1]. In recent days, Colorectal cancer (CRC) has become a significant reason for the increased cancer mortality rate worldwide. CRC is the most common cancer in men and women and the leading cause of cancer death in men. CRC causes over 1 million deaths globally and is the second-largest cause of cancer death in developing countries. Nearly 70% of deaths due to cancer occurs in low- and middle-income countries.
Moreover, the identification and treatment at the earliest stage of the disease can considerably reduce the death rate. Hence beforehand, detection, prediction, and diagnosis of colorectal cancer have become essential to reduce cancer mortality. Every year, the expense of cancer treatment rises dramatically. Many factors can be found to turn normal cells into malignant cancer cells. The consumption of farm meat and processed meat are also foremost risk factors that cause unusual cell development. Global meat consumption has risen surprisingly in the last two decades. According to epidemiological research, excessive eating of red meat raises the risk of colon cancer, but consuming fruits and vegetables lowers the risk of cancer [2]. To our knowledge, less study has been done on nutrition and CRC risk factors. There is no adequate evidence correlating farm meat and processed meat consumption to cancer risk. Almost 30% to 50% of cancer is avoided through the avoidance of the cancer risk factors. By leveraging the PLCO dietary data collection, we will investigate the relationship between farm and processed meat consumption and CRC risk factors using deep learning techniques.

• Almost all cancer risk factors are closely bonded with our day-to-day activity and diet control; Our goal is to create awareness maintain healthy foods and an active lifestyle to prevent cancer.
• We want to apply deep learning and feature extraction to find the dietary risk variables that cause colorectal cancer from the PLCO dataset.
• Cancer is incurable if found late, but if identified early, it responds to therapy and has a high survival rate.
• Cancer treatment costs are the most expensive in almost all countries; they must be identified early to reduce treatment costs.
• It takes too long to diagnose cancer; various test findings must be analyzed. Our goal is to help doctors make quick decisions.

Reference
[1] https://www.who.int/news-room/fact-sheets/detail/cancer.
[2] Turner, F., Smith, G., Sachse, C., Lightfoot, T., Garner, R. C., Wolf, C. R., ... & Colorectal Cancer Study Group. (2004). Vegetable, fruit and meat consumption and potential risk modifying genes in relation to colorectal cancer. International journal of cancer, 112(2), 259-264.