Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts

Lim, Dong Min; Lee, Hyunsu; Eom, Kisang; Kim, Yun Hak; Kim, Shin

doi:10.7150/jca.80977

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J Cancer 2023; 14(3):322-335. doi:10.7150/jca.80977 This issue Cite

Research Paper

Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts

Dong Min Lim^1*, Hyunsu Lee^2*, Kisang Eom³, Yun Hak Kim^4,5✉, Shin Kim^6,7,8✉

1. Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan 50612, Korea.
2. Department of Medical Informatics, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea.
3. Department of Physiology, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea.
4. Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea.
5. Department of Anatomy, School of Medicine, Pusan National University, Yangsan 50612, Korea.
6. Department of Immunology, School of Medicine, Keimyung University, Dalseo-gu, Daegu 42601, Republic of Korea.
7. Institute of Medical Science, Keimyung University, Dalseo-gu, Daegu 42601, Republic of Korea.
8. Institute for Cancer Research, Keimyung University Dongsan Medical Center, Dalseo-gu, Daegu 42601, Republic of Korea.
*These authors contributed equally to this work.

Citation:

Lim DM, Lee H, Eom K, Kim YH, Kim S. Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts. J Cancer 2023; 14(3):322-335. doi:10.7150/jca.80977. https://www.jcancer.org/v14p0322.htm

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Abstract

Colorectal cancer (CRC) is a common malignancy worldwide and the second leading cause of cancer-related deaths. Obesity is an important determinant of CRC incidence; however, obese patients have also shown better long-term survival than non-obese patients, suggesting that the development and progression of CRC are associated with different mechanisms. This study compares the expression of genes, tumor-infiltrating immune cells, and intestinal microbiota between high- and low-body mass index (BMI) patients at the time of CRC diagnosis. The results revealed that high-BMI patients with CRC have better prognosis, higher levels of resting CD4+ T cells, lower levels of T follicular helper cells, and different levels of intratumoral microbiota than low-BMI patients. Our study highlights that tumor-infiltrating immune cells and intratumoral microbe diversity are major features of the obesity paradox in CRC.

Keywords: Obesity paradox, colorectal cancer, TCGA, tumor-infiltrating immune cells, intratumoral microbiota

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APA

Lim, D.M., Lee, H., Eom, K., Kim, Y.H., Kim, S. (2023). Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts. Journal of Cancer, 14(3), 322-335. https://doi.org/10.7150/jca.80977.

ACS

Lim, D.M.; Lee, H.; Eom, K.; Kim, Y.H.; Kim, S. Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts. J. Cancer 2023, 14 (3), 322-335. DOI: 10.7150/jca.80977.

NLM

CSE

Lim DM, Lee H, Eom K, Kim YH, Kim S. 2023. Bioinformatic analysis of the obesity paradox and possible associated factors in colorectal cancer using TCGA cohorts. J Cancer. 14(3):322-335.

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