Diagnostic and prognostic value of microRNA-486 in patients with lung cancer: A systematic review and meta-analysis.

Abstract

PURPOSE:

There are conflicting opinions on whether miR-486 could be used for cancer diagnosis and prognosis. Therefore, this present study investigated the potential effect of miR-486 on lung cancer diagnosis and prognosis.

METHODS:

We researched PubMed, Embase, Wanfang and Chinese National Knowledge Infrastructure databases to select relevant publications. Specificity and sensitivity were obtained for the pooled and subgroup diagnostic meta-analysis while the hazard ratio was for prognostic meta-analysis. Publication analyses and sensitivity analyses were conducted to investigate possible sources of heterogeneity.

RESULTS:

The overall sensitivity and specificity with 95% confidence intervals were 0.8 (0.8-0.9) and 0.9 (0.9-0.9). Results of subgroup analysis showed that high diagnostic efficacy might be obtained by miR-486 combined with other microRNAs (area under the curve (AUC): 0.9 (0.9-1.0)) to distinguish lung cancer patients from healthy controls (AUC: 1.0 (0.9-1.0)), especially for lung adenocarcinoma (AUC: 1.0 (1.0-1.0)) in the Asian population (AUC: 0.9 (0.9-1.0)). For prognosis prediction of miR-486 in overall non-small cell lung cancer, the overall hazard ratio with 95% confidence interval was 1.15 (0.85-1.54) for high versus low expression of miR-486, which indicated that a high miR-486 level was not related to the high risk of poor outcome. However, for the subgroup of progression-free survival and patients with chemotherapy, the hazard ratio was 0.41 (0.21-0.77), indicating that the higher miR-486 level would decrease the risk of poor progression-free survival for lung cancer patients with chemotherapy.

CONCLUSION:

This study suggested circulating miR-486 combined with other microRNAs could be used as ideal biomarkers in early diagnosis and prognosis prediction for lung cancer, especially for lung adenocarcinoma in the Asian population.

• Authors: Xiaoyu Shen, Linlin Li, Linlin Zhang, Wenjing Liu, Yang Wu, Rui Ma
• Journal: The International journal of biological markers (Int J Biol Markers) Vol. 37 Issue 4 Pg. 377-385 (Dec 2022) ISSN: 1724-6008 [Electronic] United States
• PMID: 35902998 (Publication Type: Meta-Analysis, Systematic Review, Journal Article)

Chemical References

• Biomarkers, Tumor
• MicroRNAs
• MIRN486 microRNA, human

Topics

• Humans
• Prognosis
• Lung Neoplasms (diagnosis, genetics)
• Carcinoma, Non-Small-Cell Lung
• Biomarkers, Tumor (genetics)
• MicroRNAs (genetics, metabolism)
• Adenocarcinoma of Lung