Browsing by Author "Nie, Zhenlin"
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Item The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review(Springer Nature, 2024-03-15) Yang, Bingbing; Xin, Xiaoqi; Cao, Xiaoqing; Nasifu, Lubanga; Nie, Zhenlin; He, BangshunStudies have shown that many exosomal microRNAs (miRNAs) can be used as non-invasive biomarkers of lung cancer, but their diagnostic and prognostic values need to be further clarified. We conducted a systematic literature search in Web of Science, PubMed, and ScienceDirect databases, obtained relevant articles and extracted data, and used statistical methods and statistical software to comprehensively evaluate the diagnostic and prognostic value of exosomal miRNAs in lung cancer. Registration number: PROSPERO CRD42023447398. In terms of diagnosis, two exosomal miRNAs (miR-486-5p and miR-451a) were reported with the highest frequency in lung cancer patients, both of which had good diagnostic value. Compared with the control group, the pooled sensitivities of miR-486-5p and miR-451a were 0.80 (95% CI: 0.73–0.86) and 0.76 (95% CI: 0.60–0.87), specificities: 0.93 (95% CI: 0.63–0.99) and 0.85 (95% CI: 0.72–0.92), and AUCs: 0.85 (95% CI: 0.81–0.88) and 0.88 (95% CI: 0.84–0.90), for the respective miRNAs. For prognosis, in lung cancer patients with abnormally expressed exosomal miRNAs, miR-1290 was associated with PFS outcome; miR-382, miR-1246, miR-23b-3p, miR-21-5p, and miR-10b-5p were associated with OS outcome; miR-21 and miR-4257 were associated with DFS outcome; miR-125a-3p and miR-625-5p were associated with PFS and OS outcomes; miR-216b and miR-451a were associated with OS and DFS outcomes. Exosomal miRNAs are valuable biomarkers in lung cancer patients. Exosomal miR-486-5p and miR-451a can be used as new diagnostic biomarkers for lung cancer. Dysregulated exosomal miRNAs could serve as indicators of survival outcomes in lung cancer patients.Item Prognostic role of E2F1 gene expression in human cancer: a meta-analysis(BioMed Central, 2023-06-05) Li, Jingjing; Bi, Wen; Lu, Fang; Pan, Bei; Xiong, Mengqiu; Lubanga, Nasifu; Nie, Zhenlin; He, BangshunE2F1 has been confirmed to be highly expressed in a variety of cancers. To better understand the prognostic value of E2F1 in cancer patients, this study was conducted to comprehensively evaluate the prognostic value of E2F1 in cancer according to published data. PubMed, Web of Science and CNKI database were searched until May 31st, 2022 using keywords to retrieve the published essays on the role of E2F1 expression in the prognostic value of cancer. The essays were identified according to the inclusion and exclusion criteria. The pooled result of the hazard ratio and 95% confidence interval was calculated with Stata17.0 software. A total of 17 articles were included in this study involved in 4481 cancer patients. The pooled results showed that higher E2F1 expression was significantly correlated with unfavorable overall survival (HR = 1.10, I2 = 95.3%, *PHeterogeneity = 0.000) and disease-free survival (HR = 1.41, I2 = 95.2%, *PHeterogeneity = 0.000) of cancer patients. Such a significant association of was maintained subgroup of sample size of patients (> 150: for OS, HR = 1.77, and for DFS, HR = 0.91; or < 150: for OS, HR = 1.93, and for DFS, HR = 4.39), ethnicity (Asian: for OS, HR = 1.65, and for DFS, HR = 1.08; or not Asian: HR = 3.55, and for DFS, HR = 2.87), the data from database (clinical: for OS, HR = 1.24, and for DFS, HR = 1.40; or database: for OS, HR = 2.29, and for DFS, HR = 3.09), paper published year (after 2014: for OS, HR = 1.90;and for DFS,HR = 1.87; or before 2014: for OS, HR = 1.40, and for DFS, HR = 1.22); cancer type (female specific cancer: for OS, HR = 1.41, and for DFS, HR = 0.64; or non-gender specific cancers: for OS, HR = 2.00, and for DFS, HR = 2.95). In addition, according to the database data, we also found that higher E2F1 expression level would lead to worse prognosis of patients, and the results were consistent with the statistical analysis results in the paper.