BCL7B is a potential novel diagnosis and prognosis biomarker for sarcomas using bioinformatics analysis

Abstract Background: Recent studies have extensively investigated the roles of miR-106 in colorectal cancer (CRC). However, the associations and molecular mechanism underlying the roles of miR-106 in CRC remain unclear. We aimed to thoroughly investigate the biomarker roles of miR-106 for predicting the risk and survival outcome in CRC.Methods: We first conducted a comprehensive meta-analysis to quantitatively evaluate the roles of miR-106 in the diagnosis and prognosis of CRC. Then, we qualitatively explored the biomarker roles of miR-106 in CRC through an integrative bioinformatics analysis. Results: The results indicated that miR-106 yielded a combined AUC of 0.79 (95% CI: 0.76–0.83), with a pooled sensitivity of 0.50 (95% CI: 0.32–0.68) and a pooled specificity of 0.93 (95% CI: 0.79–0.98) for discriminating CRC cases from normal controls. Moreover, patients with higher expression of miR-106 were significantly associated with shorter disease-free survival (HR: 1.73; 95%CI: 1.23-2.44) and overall survival (HR: 1.39; 95%CI: 1.09-1.77). Finally, gene ontology and pathway analysis demonstrated that miR-106 family was highly involved in the initiation and progression of CRC and indicated the potential molecular mechanism for miR-106 in CRC.Conclusions: Our results indicated that miR-106 showed promising potential as diagnostic and prognostic biomarker for CRC. Nevertheless, the underlying molecular mechanism of miR-106 family involved in CRC requires further investigation.

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Identification of the biomarker roles of miR-106 family for predicting the risk and poor survival of colorectal cancer

10.21203/rs.2.18348/v1 ◽

2019 ◽

Author(s):

Qiliang Peng ◽

Yi Shen ◽

Peifeng Zhao ◽

Ming Cheng ◽

Yaqun Zhu ◽

...

Keyword(s):

Colorectal Cancer ◽

Molecular Mechanism ◽

Bioinformatics Analysis ◽

Meta Analysis ◽

Disease Free Survival ◽

Poor Survival ◽

Free Survival ◽

Diagnosis And Prognosis ◽

Disease Free ◽

Normal Controls

Abstract Background: Recent studies have extensively investigated the roles of miR-106 in colorectal cancer (CRC). However, the associations and molecular mechanism underlying the roles of miR-106 in CRC remain unclear. We aimed to thoroughly investigate the biomarker roles of miR-106 for predicting the risk and survival outcome in CRC.Methods: We first conducted a comprehensive meta-analysis to quantitatively evaluate the roles of miR-106 in the diagnosis and prognosis of CRC. Then, we qualitatively explored the biomarker roles of miR-106 in CRC through an integrative bioinformatics analysis. Results: The results indicated that miR-106 yielded a combined AUC of 0.79 (95% CI: 0.76–0.83), with a pooled sensitivity of 0.50 (95% CI: 0.32–0.68) and a pooled specificity of 0.93 (95% CI: 0.79–0.98) for discriminating CRC cases from normal controls. Moreover, patients with higher expression of miR-106 were significantly associated with shorter disease-free survival (HR: 1.73; 95%CI: 1.23-2.44) and overall survival (HR: 1.39; 95%CI: 1.09-1.77). Finally, gene ontology and pathway analysis demonstrated that miR-106 family was highly involved in the initiation and progression of CRC and indicated the potential molecular mechanism for miR-106 in CRC.Conclusions: Our results indicated that miR-106 showed promising potential as diagnostic and prognostic biomarker for CRC. Nevertheless, the underlying molecular mechanism of miR-106 family involved in CRC requires further investigation.

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Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis

Molecular Genetics & Genomic Medicine ◽

10.1002/mgg3.1200 ◽

2020 ◽

Vol 8 (6) ◽

Author(s):

Hua‐ju Yang ◽

Jin‐min Xue ◽

Jie Li ◽

Ling‐hong Wan ◽

Yu‐xi Zhu

Keyword(s):

Cervical Cancer ◽

Bioinformatics Analysis ◽

Diagnosis And Prognosis ◽

Key Genes

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Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis

Gene ◽

10.1016/j.gene.2019.01.001 ◽

2019 ◽

Vol 692 ◽

pp. 119-125 ◽

Cited By ~ 19

Author(s):

Linbo Chen ◽

Dewen Lu ◽

Keke Sun ◽

Yuemei Xu ◽

Pingping Hu ◽

...

Keyword(s):

Colorectal Cancer ◽

Cancer Patients ◽

Bioinformatics Analysis ◽

Diagnosis And Prognosis ◽

Colorectal Cancer Patients

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Identification of candidate biomarkers associated with the diagnosis and prognosis of endometrial cancer: a bioinformatics analysis

10.21203/rs.3.rs-318398/v1 ◽

2021 ◽

Author(s):

Changqiang Wei ◽

Le Huang ◽

Lingjie Deng ◽

Huisi Lin ◽

Weicheng Pan ◽

...

Keyword(s):

Endometrial Cancer ◽

Bioinformatics Analysis ◽

Cox Regression ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Hub Genes ◽

Diagnosis And Prognosis ◽

Small Molecule Drugs ◽

Damage Response ◽

Common Malignancy

Abstract Background Endometrial cancer (EC) is a common malignancy tumor that seriously threatens the wellbeing and health of women. This study aimed to map the hub genes and potential pathways that may be involved in EC. Methods In our study, three gene expression profiles of GEO and EC data from the TCGA database were analyzed. We performed WGCNA, and Cox regression analyses to screen hub genes and further validated them by using HPA, KM plots, and other databases. We also studied the methylation level by UCSC Xena and mutation of hub genes using Cbioportal . Results We identified 363 differentially expressed genes (DEGs) (146 upregulated and 217 downregulated genes). Pathway analysis revealed that hub genes are mainly related to cell cycle, DNA damage response, EMT, hormone ER, RAS/MAPK, and PI3K/AKT. Finally, we identified five hub genes that are related to the progression and prognosis of EC and screened several relevant small-molecule drugs. Conclusions MTHFD2, KIF4A, TPX2, RPS6KA6, and SIX1 were identified as candidate biomarkers for further basic and clinical research on endometrial cancer.

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