The Efficacy of miR-20a as a Diagnostic and Prognostic Biomarker for Colorectal Cancer: A Systematic Review and Meta-Analysis

Moody, Laura; Dvoretskiy, Svyatoslav; An, Ruopeng; Mantha, Suparna; Pan, Yuan Xiang

doi:10.3390/cancers11081111

Cited by 35 publications

(27 citation statements)

References 79 publications

(214 reference statements)

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“…Most of the studies reported that this miRNA has a low expression in cancer patients than in the controls. This finding is in line with other studies analyzing the role of other miRNAs in colorectal cancer [ 44 , 45 ]. In a recent meta-analysis, low expression of miR-143 and miR-145 is correlated with a poor survival prognosis [ 46 ].…”

Section: Discussionsupporting

confidence: 93%

Diagnostic and Prognostic Significance of MiR-150 in Colorectal Cancer: A Systematic Review and Meta-Analysis

Sur

Burz

Sabarimurugan

et al. 2020

JPM

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Although treatment options have improved, the survival and quality of life of colorectal cancer (CRC) patients remain dismal. Therefore, significant biomarker prediction may help to improve colorectal cancer patient’s prognosis profile. MiRNAs have come as an option because of their essential role in cancer initiation and progression by regulating several molecular processes. MiR-150 has different roles in cancer, but its function in CRC is still ambiguous. We undertook a systematic review and meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) research criteria by interrogating several databases in order to assess the diagnostic accuracy and prognostic value of miR-150. Additionally, clinicalgov.org was scanned for possible trials. The literature was screened from inception to February 2020. A total of 12 out of 70 full-text articles were included in the meta-analysis. Among these, nine studies were included for diagnostic accuracy, and the remaining three were considered for prognostic significance of miR-150. With our results, miR-150 is an appropriate diagnostic biomarker, especially in serum and plasma, while the prognostic value of miR-150 was not statistically significant. The present study findings suggest that miR-150 has high specificity and sensitivity values as a potential diagnostic biomarker in colorectal cancer patients.

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Section: Discussionsupporting

confidence: 93%

Diagnostic and Prognostic Significance of MiR-150 in Colorectal Cancer: A Systematic Review and Meta-Analysis

Sur

Burz

Sabarimurugan

et al. 2020

JPM

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“…For example, lncRNA GHET1 is overexpressed in various cancers, which can predict unfavorable survival and clinical parameters in patients (73). Recent literature has shown that miR-20a is overexpressed in colon cancer and acts as a diagnostic and prognostic biomarker (74). lncRNAs and miRNAs can also be combined for the diagnosis of cancer.…”

Section: Lncrnas and Mirnas In Cancermentioning

confidence: 99%

Research progress on the interactions between long non‑coding RNAs and microRNAs in human cancer (Review)

Binyu

Liu

et al. 2019

Oncol Lett

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Numerous types of molecular mechanisms mediate the development of cancer. Non-coding RNAs (ncRNAs) are being increasingly recognized to play important role in mediating the development of diseases, including cancer. Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are the two most widely studied ncRNAs. Thus far, lncRNAs are known to have biological roles through a variety of mechanisms, including genetic imprinting, chromatin remodeling, cell cycle control, splicing regulation, mRNA decay and translational regulation, and miRNAs regulate gene expression through the degradation of mRNAs and lncRNAs. Although ncRNAs account for a major proportion of the total RNA, the mechanisms underlying the physiological or pathological processes mediated by various types of ncRNAs, and the specific interaction mechanisms between miRNAs and lncRNAs in various physiological and pathological processes, remain largely unknown. Thus, further research in this field is required. In general, the interaction mechanisms between miRNAs and lncRNAs in human cancer have become important research topics, and the study thereof has led to the recent development of related technologies. By providing examples and descriptions, and performing chart analysis, the present study aimed to review the interaction mechanisms and research approaches for these two types of ncRNAs, as well as their roles in the occurrence and development of cancer. These details have far-reaching significance for the utilization of these molecules in the diagnosis and treatment of cancer. Contents 1. Introduction 2. Interactions between lncRNAs and miRNAs 3. Methods of research in to lncRNAs and miRNAs 4. lncRNAs and miRNAs in cancer 5. Conclusion

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“…In recent years, high-throughput biotechnology is widely used to identify genes marker for CRC. [18][19][20] It suggested that a deeper understanding of the genetic characteristics of CRC may lead to a better risk stratification system. Furthermore, many studies have explored the role of autophagy mechanisms in tumorigenesis, including CRC.…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide Identification of a Novel Autophagy-Related Signature for Colorectal Cancer

et al. 2019

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Background: Plenty of evidence has suggested that autophagy plays a crucial role in the biological processes of cancers. This study aimed to screen autophagy-related genes (ARGs) and establish a novel a scoring system for colorectal cancer (CRC). Methods: Autophagy-related genes sequencing data and the corresponding clinical data of CRC in The Cancer Genome Atlas were used as training data set. The GSE39582 data set from the Gene Expression Omnibus was used as validation set. An autophagy-related signature was developed in training set using univariate Cox analysis followed by stepwise multivariate Cox analysis and assessed in the validation set. Then we analyzed the function and pathways of ARGs using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Finally, a prognostic nomogram combining the autophagy-related risk score and clinicopathological characteristics was developed according to multivariate Cox analysis. Results: After univariate and multivariate analysis, 3 ARGs were used to construct autophagy-related signature. The KEGG pathway analyses showed several significantly enriched oncological signatures, such as p53 signaling pathway, apoptosis, human cytomegalovirus infection, platinum drug resistance, necroptosis, and ErbB signaling pathway. Patients were divided into high- and low-risk groups, and patients with high risk had significantly shorter overall survival (OS) than low-risk patients in both training set and validation set. Furthermore, the nomogram for predicting 3- and 5-year OS was established based on autophagy-based risk score and clinicopathologic factors. The area under the curve and calibration curves indicated that the nomogram showed well accuracy of prediction. Conclusions: Our proposed autophagy-based signature has important prognostic value and may provide a promising tool for the development of personalized therapy.

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The Efficacy of miR-20a as a Diagnostic and Prognostic Biomarker for Colorectal Cancer: A Systematic Review and Meta-Analysis

Cited by 35 publications

References 79 publications

Diagnostic and Prognostic Significance of MiR-150 in Colorectal Cancer: A Systematic Review and Meta-Analysis

Diagnostic and Prognostic Significance of MiR-150 in Colorectal Cancer: A Systematic Review and Meta-Analysis

Research progress on the interactions between long non‑coding RNAs and microRNAs in human cancer (Review)

Genome-Wide Identification of a Novel Autophagy-Related Signature for Colorectal Cancer

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