miR-122 and miR-197 expressions in hepatic carcinoma patients before and after chemotherapy and their effect on patient prognosis.
Year: 2021
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To quantify the miR-122 and miR-197 expression levels in liver cancer (LC) patients before and after chemotherapy and to determine their prognostic implications. METHODS: The present study included 169 patients with LC who were admitted to our hospital from January 2005 to December 2010. The miR-122 and miR-197 expression levels in the patients' cancerous and adjacent tissues were quantified, and their peripheral blood levels before and after chemotherapy were analyzed, as well as their prognostic implications. RESULTS: The miR-122 and miR-197 levels in the LC tissues were lower than they were in the adjacent tissues, and they increased in the peripheral blood after chemotherapy. Higher miR-122 and miR-197 expression levels were observed in the LC tissues of sorafenib-sensitive patients. ROC curves demonstrated that miR-122 and miR-197 are predictive markers for the therapeutic effect of sorafenib. As shown by a K-M survival curve and a log-rank test, low miR-122 and miR-197 levels are responsible for low 5-year patient survival rates. Moreover, a univariate Cox analysis uncovered the association between the 5-year survival and the miR-122 and miR-197 expression levels, the size and number of tumors, vascular invasion, and TNM and BCLC staging. Also, a multivariate Cox analysis indicated that the independent risk factors for 5-year survival in LC included the miR-122 and miR-197 levels, the number of tumors, vascular invasion, and TNM and BCLC staging. CONCLUSION: miR-122 and miR-197 expression levels can predict LC patient responses to sorafenib chemotherapy, and their levels increase after chemotherapy. Moreover, decreased miR-122 and miR-197 levels are independent risk factors for LC progression.
Source: PubMed Central
Authors: Gang Zhan, Hui Jiang, Rui Yang, Kai Yang
Institution: Wuhan Hankou Hospital
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W3183827185