Pharmacogenetics Role of Genetic Variants in Immune-Related Factors: A Systematic Review Focusing on mCRC.
Lucia ScarabelAlessia BignucoloGiuseppe ToffoliErika CecchinElena De MattiaPublished in: Pharmaceutics (2022)
Pharmacogenetics plays a key role in personalized cancer treatment. Currently, the clinically available pharmacogenetic markers for metastatic colorectal cancer (mCRC) are in genes related to drug metabolism, such as DPYD for fluoropyrimidines and UGT1A1 for irinotecan. Recently, the impact of host variability in inflammatory and immune-response genes on treatment response has gained considerable attention, opening innovative perspectives for optimizing tailored mCRC therapy. A literature review was performed on the predictive role of immune-related germline genetic biomarkers on pharmacological outcomes in patients with mCRC. Particularly, that for efficacy and toxicity was reported and the potential role for clinical management of patients was discussed. Most of the available data regard therapy effectiveness, while the impact on toxicity remains limited. Several studies focused on the effects of polymorphisms in genes related to antibody-dependent cellular cytotoxicity (FCGR2A, FCGR3A) and yielded promising but inconclusive results on cetuximab efficacy. The remaining published data are sparse and mainly hypothesis-generating but suggest potentially interesting topics for future pharmacogenetic studies, including innovative gene-drug interactions in a clinical context. Besides the tumor immune escape pathway, genetic markers belonging to cytokines/interleukins (IL-8 and its receptors) and angiogenic mediators (IGF1) seem to be the best investigated and hopefully most promising to be translated into clinical practice after validation.
Keyphrases
- genome wide
- metastatic colorectal cancer
- immune response
- oxidative stress
- genome wide identification
- clinical practice
- copy number
- dna methylation
- randomized controlled trial
- systematic review
- electronic health record
- bioinformatics analysis
- stem cells
- squamous cell carcinoma
- type diabetes
- skeletal muscle
- metabolic syndrome
- machine learning
- signaling pathway
- deep learning
- weight loss
- current status
- dna repair
- radiation therapy
- adipose tissue
- insulin resistance
- mass spectrometry