OBJECTIVE: To evaluate the clinical significance of caspase-9 mRNA expression and investigate its prognostic value in stage II colorectal cancer. METHOD: Quantitative real-time RT-PCR was used to analyse caspase-9 mRNA expression in cancer tissue and corresponding normal mucosa from 120 patients. RESULTS: Compared with normal mucosa, the expression of caspase-9 mRNA was found to be downregulated in cancer tissue (P = 0.001). Poorly differentiated cancer showed lower mRNA expression than cancer with greater differentiation (P = 0.031). The Kaplan-Meier survival analysis demonstrated that patients with downregulated caspase-9 showed a worse overall survival (P = 0.012) and disease-free survival (P = 0.022). Cox's proportional hazards regression model confirmed that expression of caspase-9 was the strongest prognostic factor in stage II colorectal cancer. CONCLUSION: The mRNA expression of caspase-9 can be used as an independent prognostic factor for patients with stage II colorectal cancer.
OBJECTIVE: To evaluate the clinical significance of caspase-9 mRNA expression and investigate its prognostic value in stage II colorectal cancer. METHOD: Quantitative real-time RT-PCR was used to analyse caspase-9 mRNA expression in cancer tissue and corresponding normal mucosa from 120 patients. RESULTS: Compared with normal mucosa, the expression of caspase-9 mRNA was found to be downregulated in cancer tissue (P = 0.001). Poorly differentiated cancer showed lower mRNA expression than cancer with greater differentiation (P = 0.031). The Kaplan-Meier survival analysis demonstrated that patients with downregulated caspase-9 showed a worse overall survival (P = 0.012) and disease-free survival (P = 0.022). Cox's proportional hazards regression model confirmed that expression of caspase-9 was the strongest prognostic factor in stage II colorectal cancer. CONCLUSION: The mRNA expression of caspase-9 can be used as an independent prognostic factor for patients with stage II colorectal cancer.
Authors: Muhammad Irfan; Zeeshan Javed; Khushbukhat Khan; Naila Khan; Anca Oana Docea; Daniela Calina; Javad Sharifi-Rad; William C Cho Journal: Cancer Cell Int Date: 2022-09-08 Impact factor: 6.429
Authors: Kamila Buzun; Agnieszka Gornowicz; Roman Lesyk; Anna Kryshchyshyn-Dylevych; Andrzej Gzella; Robert Czarnomysy; Gniewomir Latacz; Agnieszka Olejarz-Maciej; Jadwiga Handzlik; Krzysztof Bielawski; Anna Bielawska Journal: Int J Mol Sci Date: 2022-04-07 Impact factor: 6.208