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.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research
Zhi-Wen Chen
Department of Urology, Urology Institute of People’s Liberation Army, Southwest Hospital
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Bladder cancer (BC) is the ninth most common carcinoma worldwide. Due to no improvement in treatment and survival over the past three decades, it is crucial to construct a robust model for risk assessment, prognosis prediction and refinement of therapy in clinical practice. The autophagy-related genes, with a key role in cancer biology, could have potential for prediction of survival or assistance in decision-making in treatment of bladder cancer.
Methods
Level 3 mRNA sequencing data from The Cancer Genome Atlas-Bladder Urothelial Carcinoma (TCGA-BLCA) was downloaded. We obtained 51 autophagy-related genes after survival analysis. Univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were conducted and a prognostic signature was established. We validated it in GSE13507 from Gene Expression Omnibus and explored the six genes’ methylation levels and their relationships with immune microenvironment and immune cells infiltration in online databases. The signature and independent clinical characteristics were integrated as a nomogram to facilitate treatment decision-making.
Results
A six-gene prognostic signature was constructed and stratified patients with BC into high-risk and low-risk groups. Meanwhile, it showed a good performance in overall survival prediction. Moreover, we found aberrant methylation in these genes and associations between them and tumor immune microenvironment and immune cells infiltration. Last, we demonstrated the independence of this signature from clinical parameters and a great value in treatment decision-making after its integrating with independent clinical factors.
Conclusion
The proposed six-gene signature showed promise for risk assessment and individualized survival prediction of BC and a nomogram based on it may facilitate the refinement of therapy.
Keywords
bladder cancer, TCGA, autophagy, gene signature, nomogram, survival analysis, prognosis
Figure 2
Figure 4
Figure 6
Figure 8
Figure 10
Figure 12
Figure 14
Figure 16
This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile6.FigS3.tif
- Additionalfile6.FigS3.tif
- Additionalfile5.FigureS2.tif
- Additionalfile5.FigureS2.tif
- Additionalfile3.FigureS1.tif
- Additionalfile3.FigureS1.tif
- Additionalfile2TableS2.docx
- Additionalfile2TableS2.docx
- Additionalfile4.TableS3.docx
- Additionalfile4.TableS3.docx
- Additionalfile1.TableS1.docx
- Additionalfile1.TableS1.docx
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 04 Feb, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Translational Medicine
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
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.
Research
Zhi-Wen Chen
Department of Urology, Urology Institute of People’s Liberation Army, Southwest Hospital
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 04 Feb, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Translational Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Bladder cancer (BC) is the ninth most common carcinoma worldwide. Due to no improvement in treatment and survival over the past three decades, it is crucial to construct a robust model for risk assessment, prognosis prediction and refinement of therapy in clinical practice. The autophagy-related genes, with a key role in cancer biology, could have potential for prediction of survival or assistance in decision-making in treatment of bladder cancer.
Methods
Level 3 mRNA sequencing data from The Cancer Genome Atlas-Bladder Urothelial Carcinoma (TCGA-BLCA) was downloaded. We obtained 51 autophagy-related genes after survival analysis. Univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were conducted and a prognostic signature was established. We validated it in GSE13507 from Gene Expression Omnibus and explored the six genes’ methylation levels and their relationships with immune microenvironment and immune cells infiltration in online databases. The signature and independent clinical characteristics were integrated as a nomogram to facilitate treatment decision-making.
Results
A six-gene prognostic signature was constructed and stratified patients with BC into high-risk and low-risk groups. Meanwhile, it showed a good performance in overall survival prediction. Moreover, we found aberrant methylation in these genes and associations between them and tumor immune microenvironment and immune cells infiltration. Last, we demonstrated the independence of this signature from clinical parameters and a great value in treatment decision-making after its integrating with independent clinical factors.
Conclusion
The proposed six-gene signature showed promise for risk assessment and individualized survival prediction of BC and a nomogram based on it may facilitate the refinement of therapy.
Figure 2
Figure 4
Figure 6
Figure 8
Figure 10
Figure 12
Figure 14
Figure 16
This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile6.FigS3.tif
- Additionalfile6.FigS3.tif
- Additionalfile5.FigureS2.tif
- Additionalfile5.FigureS2.tif
- Additionalfile3.FigureS1.tif
- Additionalfile3.FigureS1.tif
- Additionalfile2TableS2.docx
- Additionalfile2TableS2.docx
- Additionalfile4.TableS3.docx
- Additionalfile4.TableS3.docx
- Additionalfile1.TableS1.docx
- Additionalfile1.TableS1.docx
Loading...