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Cancer Prevention

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...

Cancer Prevention

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...

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Related Experiment Video

Updated: May 20, 2026

Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression

Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression

Published on: March 17, 2020

Personalizing lung cancer prevention through a reverse migration strategy.

Kathryn A Gold¹, Edward S Kim, Ignacio I Wistuba

¹Department of Thoracic/Head and Neck Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA. KAGold@mdanderson.org

Topics in Current Chemistry

|July 4, 2012

Summary

Lung cancer chemoprevention needs new strategies. This study proposes using targeted agents and biomarkers, informed by advanced cancer treatment, to develop personalized lung cancer prevention.

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Last Updated: May 20, 2026

Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression

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Published on: March 17, 2020

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Area of Science:

Oncology
Translational Medicine
Cancer Prevention

Background:

Lung cancer is a leading cause of cancer death globally.
Smoking cessation is crucial but insufficient for preventing lung cancer in former smokers.
Current lung cancer chemoprevention lacks effective agents and has faced challenges in clinical trials.

Purpose of the Study:

To introduce a novel approach for lung cancer chemoprevention by adapting strategies from advanced cancer treatment.
To develop personalized lung cancer prevention using targeted agents based on molecular drivers.
To improve patient selection for chemoprevention through advanced risk modeling incorporating biomarkers.

Main Methods:

Applying the 'reverse migration' strategy: transferring agents, biomarkers, and trial designs from cancer treatment to prevention.
Identifying molecular targets of lung neoplasia for precision chemoprevention.
Utilizing biomarker-driven trial designs, such as the Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) trial, in the prevention setting.

Main Results:

This section is not applicable as the abstract describes a proposed approach, not results from a completed study.

Conclusions:

A personalized, biomarker-driven approach holds promise for developing effective and tolerable lung cancer chemoprevention.
Adapting successful cancer treatment strategies and trial designs can accelerate progress in lung cancer prevention.
Improved risk stratification will help spare low-risk individuals from potential chemoprevention toxicities.