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

Abstract

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.

MicroRNA-196a-5p targeting LRP1B modulates phenotype of thyroid carcinoma cells

“…Considerable efforts have been made in genomics, epigenomics, and proteomics analysis to elucidate the mechanisms of TC occurrence and progression [27][28][29]. Studies have shown changes in non-coding RNAs (ncRNAs) at expression level, including microRNAs and long non-coding RNAs (lncRNAs), in papillary TC [30][31][32]. This study aimed mainly to investigate the biological function and molecular mechanism of microRNA-196a-5p in TC, with the hope of providing new targets for TC.…”

Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer

“…In recent years, many survival prediction models have been developed to identify prognostic biomarkers. Researchers usually use Kaplan–Meier and time-dependent ROC curves to measure predictive performance ( 30 , 31 ). However, these studies are only based on the probabilities calculated using a single prediction model, which lacks discernibility in long-term survival.…”

miR‐671‐5p repressed progression of papillary thyroid carcinoma via TRIM14

“…Differently expressed miRNAs were reported to predict the progression-free interval in papillary thyroid carcinoma, suggesting its prognostic role in papillary thyroid carcinoma. 21 Moreover, differently expressed miRNAs were related to different risks of recurrence and histological types in papillary thyroid carcinoma, suggesting that miRNAs might be potential therapeutic targets for treatment of papillary thyroid carcinoma. 22 Studies have shown the tumor suppressive role of miR-671-5p in various tumors.…”