Identification of nine micro RNA s as potential biomarkers for lung adenocarcinoma

Technol Cancer Res Treat

Jiang

Zheng

et al. 2020

The aberrant expression of microRNA is an important regulator in the tumorigenesis of non-small cell lung cancer. In this study, we found that miR-499a-5p was notably downregulated in non-small cell lung cancer tissues and cell lines. Decreased miR-499a-5p expression was associated with larger tumor size and higher TNM stage. Non-small cell lung cancer patients with low expression of miR-499a-5p exhibited a worse overall survival rate compared with those patients with high expression of miR-499a-5p. Ectopic expression of miR-499a-5p significantly suppressed non-small cell lung cancer cell proliferation and colony formation, and hampered cell cycle at G0/G1 phase in vitro. Conversely, knockdown of miR-499a-5p promoted non-small cell lung cancer cell proliferation and colony formation, and induced cell cycle at S phase. Furthermore, in vivo experiments revealed that overexpression of miR-499a-5p inhibited the tumor formation in a nude mouse xenograft model. Mechanistic studies showed that fibroblast growth factor 9 was a direct target gene of miR-499a-5p. miR-499a-5p directly bound to fibroblast growth factor 9 mRNA 3’-UTR, therefore led to the reduction in fibroblast growth factor 9 protein expression. Finally, rescue experiments confirmed that silencing of fibroblast growth factor 9 partially reversed the phenotypes of miR-499a-5p knockdown on non-small cell lung cancer cell proliferation. In conclusion, our study demonstrates that downregulation of miR-499a-5p predicts a worse prognosis of patients with non-small cell lung cancer and restrains the tumorigenesis by targeting fibroblast growth factor 9. These findings may provide valuable clues for the future development of therapeutic strategies against this cancer.

Section: Introductionmentioning

confidence: 99%

Downregulation of miR-499a-5p Predicts a Poor Prognosis of Patients With Non-Small Cell Lung Cancer and Restrains the Tumorigenesis by Targeting Fibroblast Growth Factor 9

Technol Cancer Res Treat

Jiang

Zheng

et al. 2020

“…MicroRNAs (miRNAs/miRs) are small, endogenous RNAs ~22 nucleotides in length (7). miRNAs serve an important regulatory role in organism development, cell differentiation, proliferation and apoptosis, as well as in pathological and physiological activities, including tumorigenesis (8)(9)(10).…”

Section: Introductionmentioning

confidence: 99%

MicroRNA‑153 attenuates hypoxia‑induced excessive proliferation and migration of pulmonary arterial smooth muscle cells by targeting ROCK1 and NFATc3

Wang

et al. 2021

Mol Med Rep

The aim of the present study was to explore the effect of microRNA (miR)-153 on the proliferation and migration of pulmonary artery smooth muscle cells (PASMCs) in a hypoxic condition by targeting ρ-associated, coiled-coil-containing protein kinase 1 (ROCK1) and nuclear factor of activated T cells cytoplasmic 3 (NFATc3). The right ventricular systolic pressure, right ventricular hypertrophy index, medial wall thickness and medial wall area were studied at different time-points after rats were exposed to hypoxia. Western blot analysis was used to detect ROCK1 and NFATc3 protein levels. In addition, reverse transcription-quantitative (RT-q) PCR was performed to confirm the mRNA levels of miR-153, ROCK1 and NFATc3 in human (H)PASMCs under hypoxic conditions. Transfected cells were then used to evaluate the effect of miR-153 on cell proliferation and migration abilities. The association between miR-153 and ROCK1 or NFATc3 was identified through double luciferase assays. Hypoxia induced pulmonary vascular remodeling and pulmonary arterial hypertension, which resulted from the abnormal proliferation of HPASMCs. ROCK1 and NFATc3 were the target genes of miR-153 and miR-153 mimic inhibited the protein expressions of ROCK1 and NFATc3 in HPASMCs and further inhibited cell proliferation and migration under hypoxic conditions. By contrast, the miR-153 inhibitor promoted the proliferation and migration of HPASMCs. miR-153 regulated the proliferation and migration of HPASMCs under hypoxia by targeting ROCK1 and NFATc3.

“… Zhang et al (2019) showed that LINC02154 was a risk factor for the prognosis of patients with laryngeal cancer. A study revealed that hsa-mir-486-1 may serve as a potential diagnostic biomarker of lung adenocarcinoma ( Ren et al, 2019 ). Hsa-mir-6854 was reported as a potential prognostic miRNA biomarker for colon adenocarcinoma ( Wei et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Prognostic lncRNA, miRNA, and mRNA Signatures in Papillary Thyroid Carcinoma

Wang

et al. 2020

Front. Genet.

The current focus in the treatment of papillary thyroid carcinoma (PTC) is tumor progression. The aim of this study was to build RNA-based classifiers and develop a comprehensive model to provide progression-free interval (PFI) risk prediction for PTC. The RNAseq data, miRNAseq data, and clinical information of PTC were downloaded from The Cancer Genome Atlas database. Based on the differently expressed RNAs, the least absolute shrinkage and selection operator (LASSO) Cox regression model was utilized to build the RNA-based classifiers for PFI of the patients with PTC. A 6messenger RNA (mRNA)-based classifier, a 5-long non-coding RNA (lncRNA)-based classifier, and a 4-microRNA (miRNA)-based classifier were constructed to predict the PFI. Patients with high risk based on the constructed RNA-based classifiers had worse prognosis in Kaplan-Meier curve analysis with log-rank test. The areas under the curves of the first, third, and fifth years in the training and testing set were 0.83, 0.82, and 0.82 and 0.67, 0.72, and 0.73 for the 6-mRNA-based classifier, respectively; 0.75, 0.84, and 0.85 and 0.71, 0.67, and 0.71 for the 5-lncRNA-based classifier, respectively; and 0.70, 0.77, and 0.79 and 0.74, 0.67, and 0.66 for the 4-miRNA-based classifier, respectively. The prediction capability of the three RNA-based classifiers was superior to the TNM stage system. Furthermore, a nomogram based on the verified independent prognostic factors was established for the prognostic prediction. The C-index and calibration plots indicated good predictive accuracy of the nomogram. In summary, the 6-mRNA-based classifier and 5-lncRNA-based classifier constructed in this study were independent prognostic factors for PTC.