Impact of FGFR4 Gene Polymorphism on the Progression of Colorectal Cancer.
Bei-Hao ShiuMing-Hong HsiehWen-Chien TingMing-Chih ChouLun-Ching ChangChi-Chou HuangShih-Chi SuChiao-Wen LinPublished in: Diagnostics (Basel, Switzerland) (2021)
Colorectal cancer (CRC) is a multifactorial malignancy, and its high incidence and mortality rate remain a global public health burden. Fibroblast growth factor receptor 4 (FGFR4) is a receptor tyrosine kinase that has been shown to play a key role in cancer development and prognosis via the activation of its downstream oncogenic signaling pathways. The present study aimed to explore the impact of FGFR4 gene polymorphisms on the risk and progression of CRC. Three FGFR4 single-nucleotide polymorphisms (SNPs), including rs1966265, rs351855, and rs7708357, were evaluated in 413 CRC cases and 413 gender- and age-matched cancer-free controls. We did not observe any significant association of three individual SNPs with the risk of CRC between the case and control group. However, while assessing the clinicopathological parameters, patients of rectal cancer possessing at least one minor allele of rs1966265 (AG and GG; AOR, 0.236; p = 0.046) or rs351855 (GA and AA; AOR, 0.191; p = 0.022) were found to develop less metastasis as compared to those who are homozygous for the major allele. Further analyses using the datasets from the Genotype-Tissue Expression (GTEx) Portal and The Cancer Genome Atlas (TCGA) revealed that rs351855 regulated FGFR4 expression in many human tissues, and increased FGFR4 levels were associated with the occurrence, advanced stage, and distal metastasis of colon adenocarcinoma. These data suggest that the amino acid change in combination with altered expression levels of FGFR4 due to genetic polymorphisms may affect CRC progression.
Keyphrases
- papillary thyroid
- tyrosine kinase
- poor prognosis
- public health
- squamous cell
- rectal cancer
- risk factors
- binding protein
- genome wide
- endothelial cells
- signaling pathway
- transcription factor
- lymph node metastasis
- type diabetes
- pet ct
- risk assessment
- squamous cell carcinoma
- epidermal growth factor receptor
- ejection fraction
- end stage renal disease
- long non coding rna
- cardiovascular disease
- dna methylation
- quantum dots
- epithelial mesenchymal transition
- oxidative stress
- prognostic factors
- cell proliferation
- electronic health record
- big data
- cardiovascular events
- deep learning
- pi k akt
- minimally invasive
- data analysis
- induced pluripotent stem cells