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Research article
zheng yanli
Nantong first people's hospital, Nantong
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
AS acts on many tumors and its relationship with CESC needs to be researched. TCGA provided Data. SpliceSeq analyzed Splicing profiles. UpSetR displayed the intersections among AS events. Univariate analysis chose survival-associated AS and SF genes. Functional analysis was operated on Enrichr. STRING evaluated PPI information. MCODE searched clustered sub-networks. LASSO and multivariate analysis constructed prognostic model. Risk analysis of tumor infiltrating immune cells was also conducted. 402 AS-generated genes were found to be associated with CESC prognosis. Functional analysis showed that Golgi to lysosome transport was enriched. PPI suggested that UBA52 was most functional. Dendritic cells activated, Dendritic cells resting, Macrophages M0, Mast cells resting, T cells CD4 memory activated and T cells CD8 were most correlative with riskscore. This study identified SNRPA and CELF2 as two CESC-engaged SFs.
Keywords
cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), Alternative splicing (AS), prognosis, TCGA
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Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 08 Dec, 2020
No community comments so far
Editorial decision: Major revision
On 14 Jan, 2021
Review #2 received
Received 01 Jan, 2021
Review #1 received
Received 27 Dec, 2020
Reviewer #2 agreed
On 05 Dec, 2020
Reviewers invited
Invitations sent on 04 Dec, 2020
Reviewer #1 agreed
On 04 Dec, 2020
Editor assigned
On 28 Nov, 2020
Submission checks complete
On 28 Nov, 2020
Editor invited
On 28 Nov, 2020
First submitted
On 14 Nov, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This preprint is under consideration at BMC Cancer. 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
zheng yanli
Nantong first people's hospital, Nantong
Corresponding Author
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: Under Review
Version 1
Posted 08 Dec, 2020
No community comments so far
Editorial decision: Major revision
On 14 Jan, 2021
Review #2 received
Received 01 Jan, 2021
Review #1 received
Received 27 Dec, 2020
Reviewer #2 agreed
On 05 Dec, 2020
Reviewers invited
Invitations sent on 04 Dec, 2020
Reviewer #1 agreed
On 04 Dec, 2020
Editor assigned
On 28 Nov, 2020
Submission checks complete
On 28 Nov, 2020
Editor invited
On 28 Nov, 2020
First submitted
On 14 Nov, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
AS acts on many tumors and its relationship with CESC needs to be researched. TCGA provided Data. SpliceSeq analyzed Splicing profiles. UpSetR displayed the intersections among AS events. Univariate analysis chose survival-associated AS and SF genes. Functional analysis was operated on Enrichr. STRING evaluated PPI information. MCODE searched clustered sub-networks. LASSO and multivariate analysis constructed prognostic model. Risk analysis of tumor infiltrating immune cells was also conducted. 402 AS-generated genes were found to be associated with CESC prognosis. Functional analysis showed that Golgi to lysosome transport was enriched. PPI suggested that UBA52 was most functional. Dendritic cells activated, Dendritic cells resting, Macrophages M0, Mast cells resting, T cells CD4 memory activated and T cells CD8 were most correlative with riskscore. This study identified SNRPA and CELF2 as two CESC-engaged SFs.
Figure 1
Figure 1
Figure 2
Figure 2
Figure 3
Figure 3
Figure 4
Figure 4
Figure 5
Figure 5
Figure 6
Figure 6
Figure 7
Figure 7
Figure 8
Figure 8
Figure 9
Figure 9
Figure 10
Figure 10
This is a list of supplementary files associated with this preprint. Click to download.
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