Obesity and Inflammatory Factors in the Progression of Early-Onset Colorectal Cancer.
Alexandra N JonesKatharina M ScheurlenAnne MacLeodHillary L SimonSusan GalandiukPublished in: Cancers (2024)
Metabolic dysfunction associated with obesity leads to a chronic pro-inflammatory state with systemic effects, including the alteration of macrophage metabolism. Tumor-associated macrophages have been linked to the formation of cancer through the production of metabolites such as itaconate. Itaconate downregulates peroxisome proliferator-activated receptor gamma as a tumor-suppressing factor and upregulates anti-inflammatory cytokines in M2-like macrophages. Similarly, leptin and adiponectin also influence macrophage cytokine expression and contribute to the progression of colorectal cancer via changes in gene expression within the PI3K/AKT pathway. This pathway influences cell proliferation, differentiation, and tumorigenesis. This work provides a review of obesity-related hormones and inflammatory mechanisms leading to the development and progression of early-onset colorectal cancer (EOCRC). A literature search was performed using the PubMed and Cochrane databases to identify studies related to obesity and EOCRC, with keywords including 'EOCRC', 'obesity', 'obesity-related hormones', 'itaconate', 'adiponectin', 'leptin', 'M2a macrophage', and 'microbiome'. With this concept of pro-inflammatory markers contributing to EOCRC, increased use of chemo-preventative agents such as aspirin may have a protective effect. Elucidating this association between obesity-related, hormone/cytokine-driven inflammatory effects with EOCRC may help lead to new therapeutic targets in preventing and treating EOCRC.
Keyphrases
- signaling pathway
- insulin resistance
- metabolic syndrome
- early onset
- weight loss
- high fat diet induced
- type diabetes
- weight gain
- gene expression
- adipose tissue
- cell proliferation
- cardiovascular disease
- body mass index
- acute coronary syndrome
- squamous cell carcinoma
- drug induced
- coronary artery disease
- binding protein
- machine learning
- deep learning
- big data
- anti inflammatory
- antiplatelet therapy
- percutaneous coronary intervention
- case control