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Research article
Bioinformatic screening for candidate biomarkers and their prognostic values in endometrial cancer
Li Li
Affiliated Tumor Hospital of Guangxi Medical University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2378-7902
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at BMC Genomic Data.
Background: Endometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive.
Results: Two eligible human endometrial cancer datasets (GSE17025 and GSE25405) were selected for the study. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signalling pathways. A total of 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. The prognosis analysis revealed that Cyclin E1 (CCNE1, one of the 82 hub genes, which correlated with hsa-miR-195 and hsa-miR-424) was significantly linked to a worse overall survival in endometrial cancer patients.
Conclusions: The hub genes and differentially expressed miRNAs identified in this study might be used as prognostic biomarkers for endometrial cancer and molecular targets for its treatment.
Keywords
Endometrial cancer, Differentially expressed genes, Differentially expressed miRNAs, Functional enrichment analysis, Protein-protein interaction, Survival analysis
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This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.pdf
Additional file 1: Node-degree of interaction analysis of the 82 hub genes (Degree of interaction ≥ 10).
- Additionalfile2.pdf
Additional file 2: Correlation between differentially expressed miRNAs and target genes in patients with endometrial cancer (Data source: starBase v2.0 project ).
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Reviewer #1 agreed
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This preprint is under consideration at BMC Genomic Data. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Bioinformatic screening for candidate biomarkers and their prognostic values in endometrial cancer
Li Li
Affiliated Tumor Hospital of Guangxi Medical University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2378-7902
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 3
Posted 14 Aug, 2020
Published
On 22 Sep, 2020
No community comments so far
Submission checks complete
On 12 Aug, 2020
Editorial decision: Accept
On 11 Aug, 2020
No comments provided
Reviewer #1 agreed
On 22 Apr, 2020
Reviewer #2 agreed
On 22 Apr, 2020
Review #1 received
Received 22 Apr, 2020
Review #2 received
Received 22 Apr, 2020
Editor assigned
On 19 Apr, 2020
Reviewers invited
Invitations sent on 19 Apr, 2020
Submission checks complete
On 18 Apr, 2020
Editor invited
On 18 Apr, 2020
Version (no preprint)
Posted 04 May, 2020
Editorial decision: Minor revision
On 06 Aug, 2020
Editor assigned
On 03 Jun, 2020
Submission checks complete
On 02 Jun, 2020
Editor invited
On 02 Jun, 2020
This version was not preprinted
No comments provided
Editorial decision: Major revision
On 21 Mar, 2020
Reviewer #3 agreed
On 08 Mar, 2020
Review #3 received
Received 08 Mar, 2020
Review #2 received
Received 08 Mar, 2020
Reviewer #2 agreed
On 05 Mar, 2020
Review #1 received
Received 18 Dec, 2019
Reviewer #1 agreed
On 20 Nov, 2019
Reviewers invited
Invitations sent on 18 Nov, 2019
Editor invited
On 16 Oct, 2019
Submission checks complete
On 15 Oct, 2019
Editor assigned
On 08 Oct, 2019
First submitted
On 05 Oct, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at BMC Genomic Data.
Background: Endometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive.
Results: Two eligible human endometrial cancer datasets (GSE17025 and GSE25405) were selected for the study. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signalling pathways. A total of 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. The prognosis analysis revealed that Cyclin E1 (CCNE1, one of the 82 hub genes, which correlated with hsa-miR-195 and hsa-miR-424) was significantly linked to a worse overall survival in endometrial cancer patients.
Conclusions: The hub genes and differentially expressed miRNAs identified in this study might be used as prognostic biomarkers for endometrial cancer and molecular targets for its treatment.
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