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Research article
Xiuwu Tang
first affiliated hospital of Soochow University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3202-7377
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
High-grade serous ovarian cancer (HSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HSOC.
Method and materials:
TCGA database was conducted to analyze relevant genes expression in HSOC. Outcomes of candidate genes expression, including overall survival (OS) and progression-free survival (PFS), were calculated by Cox regression analysis for hazard rates (HR). Histopathological investigation of the identified genes was carried out in 32 Chinese HSOC patients to validate gene expression in different stages of HSOC.
Results
Of all 57,331 genes that were analyzed, FAP was identified as the only novel gene that significantly contributed to both OS and PFS of HSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HSOC survival.
Conclusions
High-level expression of FAP was associated with poor prognosis of HSOC via FN1 pathway.
Keywords
Fibroblast activation protein (FAP), The Cancer Genome Atlas Program (TCGA), high-grade serous ovarian cancer (HSOC), survival
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CURRENT STATUS: Published
View the published article at BMC Cancer.
No community comments so far
Editorial decision: Accept
On 16 Oct, 2020
Editor assigned
On 08 Oct, 2020
Submission checks complete
On 07 Oct, 2020
Editor invited
On 07 Oct, 2020
No comments provided
Review #2 received
Received 13 Sep, 2020
Editorial decision: Minor revision
On 13 Sep, 2020
Review #1 received
Received 09 Sep, 2020
Reviewer #2 agreed
On 19 Aug, 2020
Reviewer #1 agreed
On 17 Aug, 2020
Reviewers invited
Invitations sent on 14 Aug, 2020
Editor assigned
On 20 Jul, 2020
Editor invited
On 19 Jul, 2020
Submission checks complete
On 30 Jun, 2020
Version 1
Posted 27 May, 2020
No comments provided
Editor assigned
On 15 May, 2020
Editorial decision: Revise before sending to peer reviewers
On 15 May, 2020
Submission checks complete
On 14 May, 2020
Editor invited
On 14 May, 2020
First submitted
On 10 May, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at BMC Cancer.
This is a preprint, 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
Xiuwu Tang
first affiliated hospital of Soochow University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3202-7377
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
View the published article at BMC Cancer.
No community comments so far
Editorial decision: Accept
On 16 Oct, 2020
Editor assigned
On 08 Oct, 2020
Submission checks complete
On 07 Oct, 2020
Editor invited
On 07 Oct, 2020
No comments provided
Review #2 received
Received 13 Sep, 2020
Editorial decision: Minor revision
On 13 Sep, 2020
Review #1 received
Received 09 Sep, 2020
Reviewer #2 agreed
On 19 Aug, 2020
Reviewer #1 agreed
On 17 Aug, 2020
Reviewers invited
Invitations sent on 14 Aug, 2020
Editor assigned
On 20 Jul, 2020
Editor invited
On 19 Jul, 2020
Submission checks complete
On 30 Jun, 2020
Version 1
Posted 27 May, 2020
No comments provided
Editor assigned
On 15 May, 2020
Editorial decision: Revise before sending to peer reviewers
On 15 May, 2020
Submission checks complete
On 14 May, 2020
Editor invited
On 14 May, 2020
First submitted
On 10 May, 2020
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 article at BMC Cancer.
Background
High-grade serous ovarian cancer (HSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HSOC.
Method and materials:
TCGA database was conducted to analyze relevant genes expression in HSOC. Outcomes of candidate genes expression, including overall survival (OS) and progression-free survival (PFS), were calculated by Cox regression analysis for hazard rates (HR). Histopathological investigation of the identified genes was carried out in 32 Chinese HSOC patients to validate gene expression in different stages of HSOC.
Results
Of all 57,331 genes that were analyzed, FAP was identified as the only novel gene that significantly contributed to both OS and PFS of HSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HSOC survival.
Conclusions
High-level expression of FAP was associated with poor prognosis of HSOC via FN1 pathway.
Figure 1
Figure 2
Figure 3
Figure 4
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