MiRNA-873-5p Acts as a Potential Novel Biomarker and Promotes Cervical Cancer Progression by Regulating ZEB1 via Notch Signaling Pathway

Wen, Chen-Xia; Tian, Haili; Chen, E; Liu, Jinfang; Liu, Xiaoxing

doi:10.1177/15593258211001255

“…We found that HPV-positive CC individuals with high serum miR-106a expression showed poor prognosis and short overall survival, in accord with the trend of miR-106a-3p in CC [41]. There is evidence suggesting that aberrant miRNA expression is correlated with tumor size, advanced tumor stage, lymph node metastasis, and FIGO stage in CC [42,43]. miR-106a is involved in cisplatin resistance of CC cells [44], and in HPV-induced CC, miR-106a is engaged in the tumorigenesis and is probably a potential candidate element for the diagnosis and prognosis [31].…”

Section: Discussionsupporting

confidence: 78%

Clinical Value of Serum miR-106a in the Diagnosis and Prognosis of Human Papillomavirus-Positive Cervical Cancer

Rao

¹

,

Jiang

²

,

Wang

³

et al. 2023

Intervirology

0

View full text Add to dashboard Cite

Introduction: Cervical cancer (CC) is a prevailing malignant tumor in women, mainly caused by human papillomavirus (HPV) infection. This study investigated miR-106a expression in the serum of HPV-positive CC patients and estimated its value in diagnosis and prognosis. Methods: We enrolled 120 CC patients as study subjects, with another 80 healthy women as controls. Clinical baseline data and clinicopathological indexes including age, tumor size, differentiation degree, FIGO stage, lymph node metastasis, and SCC-Ag were recorded. Serum miR-106a expression was measured using RT-qPCR. ROC curve was employed to estimate the efficacy of miR-106a in diagnosing CC or HPV-positive CC. Under a 5-year follow-up, patient survival was recorded, and the impact of miR-106a on overall survival rate was analyzed by the Kaplan-Meier method. The logistic regression model was used to analyze whether miR-106a was an independent prognostic factor for HPV infection in CC patients. Results: Serum miR-106a was upregulated in CC patients and the level > 1.365 assisted the CC diagnosis. miR-106a expression in HPV-positive CC patients was elevated relative to HPV-negative CC patients, and serum miR-106a level > 1.300 distinguishing HPV-positive and HPV-negative. HPV positivity was linked with tumor differentiation degree, FIGO stage, lymph node metastasis, and SCC-Ag in CC patients, but not with age and tumor size. High expression of miR-106a in HPV-positive CC patients increased the risk of poor prognosis, and miR-106a expression is an independent prognostic factor for HPV infection in CC patients. Conclusion: High expression of miR-106a assists the diagnosis of HPV-positive CC and predicts poor prognosis.

show abstract

“…Diferent studies have been conducted in order to discover RNA-based cancer biomarkers. Wen et al [6] introduced miRNA-873-5p as a potential biomarker and promising therapeutic approach for CC in their research. Cao et al [7] reported CCAT2 as a candidate biomarker for diagnosing and prognostic predicting CC.…”

Section: Introductionmentioning

confidence: 99%

Application of Protein-Protein interaction network analysis in order to identify Cervical cancer miRNA and mRNA biomarkers

Tabrizi-Nezhadi,

MotieGhader,

Maleki

et al. 2024

Preprint

0

View full text Add to dashboard Cite

Cervical cancer (CC) is one of the world's most common and severe cancers. This cancer includes two histological types Squamous cell carcinoma (SCC) and adenocarcinoma (ADC).In this project, SCC has been studied. The current study aims to identify novel potential candidate mRNA and miRNA biomarkers for CC based on a Protein-Protein Interaction (PPI) and miRNA-mRNA networks analysis. The current project utilized a transcriptome profile for normal and CC samples. First, the PPI network was constructed for the 1335 DEGs, and then a significant gene module was extracted from the PPI network. Next, a list of miRNAs targeting module's genes was collected from the miRTarBaseonline database, and a miRNA-mRNA regulatory network was formed. Afterward, CC driver genes were selected from the module's genes (MCM2, MCM10, POLA1, and TONSL) and introduced as potential candidate biomarkers for CC. As well as, two hub miRNAs, including miR-193b-3p and miR-615-3p, were selected from the miRNA-mRNA regulatory network and reported as possible candidate biomarkers for CC. In summary, six potential candidate RNA-based biomarkers consist of four genes containing MCM2, MCM10, POLA1, and TONSL, and two miRNAs containing miR-193b-3p and miR-615-3p are opposed as potential candidate biomarkers for CC.

show abstract

“…Different studies have been done in order to discover RNA-based cancer biomarkers. Chen-Xia Wen et al [6] introduced miRNA-873-5p as a potential biomarker and promising therapeutic approach for CC in their research. Xiaoli Cao et al [7] reported CCAT2 as a candidate biomarker for diagnosing and prognostic predicting CC.…”

Section: Introductionmentioning

confidence: 99%

Application of Protein-Protein interaction network analysis in order to identify Cervical cancer miRNA and mRNA biomarkers

Tabrizi-Nezhadi

¹

,

MotieGhader

²

,

Şahi̇n

³

et al. 2023

Preprint

1

0

View full text Add to dashboard Cite

Cervical cancer (CC) is one of the world's most common and severe cancers. This cancer includes two histological types Squamous cell carcinoma (SCC) and adenocarcinoma (ADC).In this project, SCC has been studied. The current study aims to identify novel potential candidate mRNA and miRNA biomarkers for CC based on a Protein-Protein Interaction (PPI) and miRNA-mRNA networks analysis. The current project utilized a transcriptome profile for normal and CC samples. First, the PPI network was constructed for the 1335 DEGs, and then a significant gene module was extracted from the PPI network. Next, a list of miRNAs targeting module's genes was collected from the miRTarBaseonline database, and a miRNA-mRNA regulatory network was formed. Afterward, CC driver genes were selected from the module's genes (MCM2, MCM10, POLA1, and TONSL) and introduced as potential candidate biomarkers for CC. As well as, two hub miRNAs, including miR-193b-3p and miR-615-3p, were selected from the miRNA-mRNA regulatory network and reported as possible candidate biomarkers for CC. In summary, six potential candidate RNA-based biomarkers consist of four genes containing MCM2, MCM10, POLA1, and TONSL, and two miRNAs containing miR-193b-3p and miR-615-3p are opposed as potential candidate biomarkers for CC.

show abstract

MiRNA-873-5p Acts as a Potential Novel Biomarker and Promotes Cervical Cancer Progression by Regulating ZEB1 via Notch Signaling Pathway

Cited by 11 publications

References 38 publications

Clinical Value of Serum miR-106a in the Diagnosis and Prognosis of Human Papillomavirus-Positive Cervical Cancer

Clinical Value of Serum miR-106a in the Diagnosis and Prognosis of Human Papillomavirus-Positive Cervical Cancer

Application of Protein-Protein interaction network analysis in order to identify Cervical cancer miRNA and mRNA biomarkers

Application of Protein-Protein interaction network analysis in order to identify Cervical cancer miRNA and mRNA biomarkers

Contact Info

Product

Resources

About