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Multi-stage analysis of FOXM1, PYROXD1, hTERT, PPARA, PIM3, BMI1 and MCTP1 expression patterns in colorectal cancer
AIM: To explore biomarkers with a tumor stage-dependent expression pattern in patients with colorectal cancer (CRC). BACKGROUND: The fourth most common cancer in the world is colorectal cancer (CRC). A variation in the gene expression rate is a common change in cancers initiation and the accumulatio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275742/ https://www.ncbi.nlm.nih.gov/pubmed/35845311 |
Sumario: | AIM: To explore biomarkers with a tumor stage-dependent expression pattern in patients with colorectal cancer (CRC). BACKGROUND: The fourth most common cancer in the world is colorectal cancer (CRC). A variation in the gene expression rate is a common change in cancers initiation and the accumulation of these variation changes the behavior of normal cells and turns them into cancer cells. METHODS: Real-time RT-PCR was used to investigate the expression patterns of the FOXM1, PYROXD1, hTERT, BMI, PPARA, PIM3 and MCTP1 genes in 54 patients with stage I to IV CRC and their relation with clinicopathological features of CRC were analyzed. Results: FOXM1, hTERT and MCTP1 genes are overexpressed in CRC tumor tissues when compared to normal adjacent tissues in all the stages. RESULTS: FOXM1, PYROXD1, hTERT, PIM3, BMI1, PPARA and MCTP1 had-stage dependent expression. Investigation of the association between clinicopathological features and expression pattern of the studied genes revealed; a) a significant relationship between FOXM1 gene expression level and tumor stage, tumor size and lymph node involvement, b) a considerable association between alterations in PPARA and PIM3 expression and lymph node involvement, c) a notable correlation between hTERT expression level and the tumor stage and d) a strong correlation between MCTP1 expression and patient's age only. CONCLUSION: Our study indicates that expression profiles of these genes either individually or together can be applied as potential biomarkers for prognosis of CRC. |
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