The Prognostic Value of MicroRNAs in Thyroid Cancers—A Systematic Review and Meta-Analysis

Silaghi, Cristina Alina; Lozovanu, Vera; Silaghi, Horațiu; Georgescu, Raluca; Pop, Cristina; Georgescu, Carmen Emanuela

doi:10.3390/cancers12092608

Cited by 15 publications

(11 citation statements)

References 101 publications

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“…Recently, cutting-edge studies have certified miRNA was related to tumorigenesis and progression and could be considered as a potential biomarker in diagnosis, recurrence, treatment and prognosis of tumors. According to previous reports, miRNA was associated with diagnosis, prognosis, recurrence and therapy in breast cancer and papillary thyroid carcinoma [25][26][27][28], prognosis and therapy in ovarian cancer and colorectal cancer [29,30], diagnosis and progression in pancreatic cancer [31], prognosis in hepatocellular carcinoma and lung cancer [32,33]. As far as endometrial cancer, we listed several reports as following: Multivariate analysis demonstrated the decreased expression of miRNA-152 and miRNA-101 lead to poor prognosis in endometrial serous adenocarcinomas [32].…”

Section: Discussionmentioning

confidence: 94%

Identification of an eleven-miRNA signature to predict the prognosis of endometrial cancer

Lü

Liang

et al. 2021

Bioengineered

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Endometrial cancer (EC) is the most common gynecological malignancy. Recent studies have uncovered miRNA acted a striking role in predicting the prognosis of multiple tumors. Over 500 EC samples were selected from the Cancer Genome Atlas (TCGA) database. Univariate, LASSO and multivariate Cox regression analysis were employed to screen out the prognosis-involved miRNAs. Kaplan-Meier (K-M) and time-dependent receiver operation characteristic (ROC) curves were conducted to reveal survival analysis and assess the accuracy of the signature. The independence of the model was verified via univariate and multivariate Cox regression analysis. Besides, qRT-PCR was conducted to testified the expression of 11 miRNAs in 16 paired tissues. A total of 514 specimens were randomly divided into the training set and the testing set, then an 11 miRNAs-based signature were determined which divided the patients into high-risk group and low-risk group. The survival was markedly different and the ROC curve exhibited a precise prediction. Meanwhile, the univariate and multivariate Cox regression analysis verified the miRNAs-based model was an independent indicator of EC. Moreove, the prediction ability of this model with clinicopathological features was more efficient. Finally, functional enrichment analysis demonstrated these miRNAs were associated with the occurrence and progression of cancer. Additionally, hsa-mir-216b, hsa-mir-363, hsa-mir-940 and hsa-mir-1301 were highly expressed in EC tissues in contrast to normal tissues through qRT-PCR. Importantly, the eleven-miRNA signature was full of robust ability to predict the prognosis of EC.

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Section: Discussionmentioning

confidence: 94%

Identification of an eleven-miRNA signature to predict the prognosis of endometrial cancer

Lü

Liang

et al. 2021

Bioengineered

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“…The high expression of four miRs (miR-146a, miR-146b, miR-182, and miR-203) and the low expression of six miRs (miR-1271, miR-791, miR-381, miR-let 7a, miR-26a, miR-486) was correlated with decreased OS in PTC [ 61 ]. We did not get significant correlations of miR-222, -221, -146b, -181b, -21 with OS in our study.…”

Section: Discussionmentioning

confidence: 99%

“…Higher expression of these 3 miRs panel was associated with decreased OS. Interestingly, overexpression of miR-146b [ 61 ], miR-21 [ 23 ] were found to be associated with shorter disease-free survival in PTC patients. Since these miRs have interfaces with disease free survival and OS their expression may be important in predicting the course of PTC.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, our results about 5 miR expressions’ relation to clinicopathologic PTC parameters largely overlapped and coincided with the TCGA analysis data. The limitation of our study was that we analyzed only 5 miR expression in PTC tissue samples since other miR molecules (for example miR-146a, miR-182, miR-203, miR-1271, miR-791, miR-381, miR-let 7a, miR-26a, and miR-486 [ 61 ]) might also have an important relations and possible value in risk stratification of PTC patients as well.…”

Section: Discussionmentioning

confidence: 99%

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Papillary Thyroid Carcinoma Tissue miR-146b, -21, -221, -222, -181b Expression in Relation with Clinicopathological Features

et al. 2021

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We analyzed miR-146b, miR-21, miR-221, miR-21, and miR-181b in formalin fixed paraffin-embedded papillary thyroid carcinoma (PTC) tissue samples of 312 individuals and evaluated their expression relationship with clinicopathological parameters. A higher expression of miR-21 was related to unifocal lesions (p < 0.011) and autoimmune thyroiditis (0.007). miR-221, miR-222 expression was higher in the PTC tissue samples with extrathyroidal extension (p = 0.049, 0.003, respectively). In a group of PTC patients with pT1a and pT1b sized tumors, the expression of miR-146b, miR-21, miR-221, and miR-222 in PTC tissue samples was lower than in patients with pT2, pT3, and pT4 (p = 0.032; 0.0044; 0.003; 0.001; 0.001, respectively). Patients with lymph node metastases had higher expression of miR-21, -221, -222, and -181b (p < 0.05). A high expression of miR-146b, miR-21, miR-221 panel was associated with decreased overall survival (OS) (Log rank p = 0.019). Univariate analysis revealed that presence of metastatic lymph nodes and high expression of miR-146b, miR-21, and miR-221 panels were associated with increased hazard of shorter OS. After multivariate analysis, only sex (male) and age (≥55 years) emerged as independent prognostic factors associated with shorter OS (HR 0.28 (95% CI 0.09–0.86) and HR 0.05 (95% CI 0.01–0.22), respectively). In conclusion, 5 analyzed miRs expression have significant relations to clinicopathologic parameters so further investigations of these molecules are expedient while searching for prognostic PTC biomarkers.

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“…The 2015 American Thyroid Association (ATA) guidelines proposed a three-tiered (high, intermediate, and low-risk) stratification [6]. This system considers the TNM staging, the surgical information, as well as the molecular data, whenever available [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Three-Domain Scoring System to Customize the Risk of Relapse of Differentiated Thyroid Carcinoma

Piccardo

Siri

Ugolini

et al. 2021

Cancers

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Purpose: the validation of a new scoring model considering the principal risk factors of differentiated thyroid cancer (DTC) relapse. Methods: we evaluated all DTC patients treated with thyroidectomy and radioactive iodine (RAI) therapy. Three domains were considered: the demographic domain (age and gender), the surgical domain (histology and the American Thyroid Association risk categories), and the RAI-related domain (pre-RAI thyroglobulin and post-therapeutic 131I whole-body scan). The progression-free survival was assessed. The patients’ sample was randomly split into a training and validation set. The three-domain score was calculated as the weighted sum of the levels of each significant factor, then scaled to an integer range (0–100) and, finally, stratified into terciles: mild risk 0–33, moderate risk 34–66, and severe risk 67–100. Results: 907 DTC patients were included. The RAI-related domain was the most relevant factor in the score calculation. The tercile stratification identified significantly different survival curves: patients within the two upper terciles showed approximately 6 to 30 times more progressive risk than patients at mild risk. Conclusion: we have validated a three-domain scoring system and the principal impact on this score is provided by the peri-RAI findings, whose prognostic role seems to be essential in risk identification.

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The Prognostic Value of MicroRNAs in Thyroid Cancers—A Systematic Review and Meta-Analysis

Cited by 15 publications

References 101 publications

Identification of an eleven-miRNA signature to predict the prognosis of endometrial cancer

Identification of an eleven-miRNA signature to predict the prognosis of endometrial cancer

Papillary Thyroid Carcinoma Tissue miR-146b, -21, -221, -222, -181b Expression in Relation with Clinicopathological Features

A Three-Domain Scoring System to Customize the Risk of Relapse of Differentiated Thyroid Carcinoma

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