Identification of differentially expressed miRNAs in early-stage cervical cancer with lymph node metastasis across The Cancer Genome Atlas datasets

Chen, Qian; Zeng, Xianmin; Huang, Dongping; Qiu, Xiaoqiang

doi:10.2147/cmar.s183488

Cited by 19 publications

(7 citation statements)

References 57 publications

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“…Previous studies also reported that miR-200a is associated with the development of cancer (i.e., esophageal, breast, and endometrial), by targeting specific genes such as CRMP1, EPHA2, and PTEN [17–19]. Notably, miR-509-2 was differentially expressed in early-stage cervical cancer and might serve as a diagnostic biomarker in these patients [20]. Also, miR-636 acted as a tumor suppressor miRNA, which might affect the tumorigenesis of hepatocellular carcinoma through the downregulation of Ras [21].…”

Section: Discussionmentioning

confidence: 99%

Potential Five-MicroRNA Signature Model for the Prediction of Prognosis in Patients with Wilms Tumor

et al. 2019

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Background Wilms tumor (WT) is the most common type of pediatric renal malignancy, and is associated with poor prognosis. The aim of the present study was to identify microRNA (miRNA) signatures which might predict prognosis and categorize WTs into high- and low-risk subgroups. Material/Methods The miRNA expression profiles of WT patients and normal samples were obtained from the Therapeutically Applicable Research to Generate Effective Treatment database. Differentially expressed miRNAs between WT patients and normal samples were identified using the EdgeR package. Subsequently, correlations between differentially expressed miRNAs and the prognosis of overall survival were analyzed. Enrichment analyses for the targeted mRNAs were conducted via the Database for Annotation, Visualization, and Integration Discovery. Results A total of 154 miRNAs were identified as differentially expressed in WT. Of those, 18 miRNAs were associated with overall survival ( P <0.05). A prognostic signature of 5 differentially expressed miRNAs (i.e., has-mir-149, has-mir-7112, has-mir-940, has-mir-1248, and has-mir-490) was constructed to classify the patients into high- and low-risk subgroups. The targeted mRNAs of these prognostic miRNAs were primarily enriched in Gene Ontology terms (i.e., protein autophosphorylation, protein dephosphorylation, and stress-activated MAPK cascade) and the Kyoto Encyclopedia of Genes and Genomes signaling pathways (i.e., MAPK, AMPK, and PI3K-Akt). Conclusions The 5-miRNA signature model might be useful in determining the prognosis of WT patients. As a promising prediction tool, this prognosis signature might serve as a potential biomarker for WT patients.

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Section: Discussionmentioning

confidence: 99%

Potential Five-MicroRNA Signature Model for the Prediction of Prognosis in Patients with Wilms Tumor

et al. 2019

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“…Uterine cervical cancer (UCC) is among the most common malignancies diagnosed and is a leading etiology of malignant tumor deaths in young women worldwide [1]. In many developing countries, it causes more than a quarter of a million deaths annually because of grossly deficient treatments.…”

Section: Introductionmentioning

confidence: 99%

The disease stage-associated imbalance of Th1/Th2 and Th17/Treg in uterine cervical cancer patients and their recovery with the reduction of tumor burden

et al. 2020

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Background: Nearly all uterine cervical cancer (UCC) cases result from human papillomavirus (HPV) infection. After high-risk HPV infection, most HPV infections are naturally cleared by humoral and cell-mediated immune responses. Thus, cervical lesions of only few patients progress into cervical cancer via cervical intraepithelial neoplasia (CIN) and lead to persistent oncogenic HPV infection. This suggests that immunoregulation plays an instrumental role in the carcinogenesis. However, there was a few studies on the relation between the immunologic dissonance and clinical characteristics of UCC patients. Method: We examined the related immune cells (Th1, Th2, Th17, and Treg cells) by flow cytometric analysis and analyzed their relations with UCC stages, tumor size, differentiation, histology type, lymph node metastases, and vasoinvasion. Next, we quantified the Th1, Th2, Th17, and Treg cells before and after the operation both in UCC and CIN patients. Results: When compared with stage I patients, decreased levels of circulating Th1 cells and elevated levels of Th2, Th17, and Treg cells were detected in stage II patients. In addition, the imbalance of Th1/Th2 and Th17/Treg cells was related to the tumor size, lymph node metastases, and vasoinvasion. We found that immunological cell levels normalized after the operations. In general, immunological cell levels in CIN patients normalized sooner than in UCC patients. Conclusions: Our findings suggested that peripheral immunological cell levels reflect the patient's condition.

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“…In 2018, Chen Q et al analyzed the differential expression of 422 miRNAs in 145 patients diagnosed with early-stage CC (including 32 LNM+ patients and 113 LNM− patients) in The Cancer Genome Atlas (TCGA) database. They found that 75 miRNAs were differentially expressed between the 2 sample groups [ 36 ]. Interestingly, our results are consistent for five miRNAs (miR-548, miR-379, miR-337, miR-487b, and miR-376c) and several gene targets associated with lymph node involvement.…”

Section: Discussionmentioning

confidence: 99%

microRNA Profile Associated with Positive Lymph Node Metastasis in Early-Stage Cervical Cancer

et al. 2022

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Lymph node metastasis (LNM) is an important prognostic factor in cervical cancer (CC). In early stages, the risk of LNM is approximately 3.7 to 21.7%, and the 5-year overall survival decreases from 80% to 53% when metastatic disease is identified in the lymph nodes. Few reports have analyzed the relationship between miRNA expression and the presence of LNM. The aim of this study was to identify a subset of miRNAs related to LNM in early-stage CC patients. Formalin-fixed paraffin-embedded tissue blocks were collected from patients with early-stage CC treated by radical hysterectomy with lymphadenectomy. We analyzed samples from two groups of patients—one group with LNM and the other without LNM. Global miRNA expression was identified by microarray analysis, and cluster analysis was used to determine a subset of miRNAs associated with LNM. Microarray expression profiling identified a subset of 36 differentially expressed miRNAs in the two groups (fold change (FC) ≥ 1.5 and p < 0.01). We validated the expression of seven miRNAs; miR-487b, miR-29b-2-5p, and miR-195 were underexpressed, and miR-92b-5p, miR-483-5p, miR-4534, and miR-548ac were overexpressed according to the microarray experiments. This signature exhibited prognostic value for identifying early-stage CC patients with LNM. These findings may help detect LNM that cannot be observed in imaging studies.

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Identification of differentially expressed miRNAs in early-stage cervical cancer with lymph node metastasis across The Cancer Genome Atlas datasets

Cited by 19 publications

References 57 publications

Potential Five-MicroRNA Signature Model for the Prediction of Prognosis in Patients with Wilms Tumor

Potential Five-MicroRNA Signature Model for the Prediction of Prognosis in Patients with Wilms Tumor

The disease stage-associated imbalance of Th1/Th2 and Th17/Treg in uterine cervical cancer patients and their recovery with the reduction of tumor burden

microRNA Profile Associated with Positive Lymph Node Metastasis in Early-Stage Cervical Cancer

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