Development and Verification of a Prostate Cancer Prognostic Signature Based on an Immunogenomic Landscape Analysis Article Swipe
Hong Cheng
,
Yi Wang
,
Chunhui Liu
,
Tiange Wu
,
Shuqiu Chen
,
Ming Chen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fonc.2021.711258
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fonc.2021.711258
Purpose Prostate cancer (PCa) has a high incidence among older men. Until now, there are no immunological markers available to predict PCa patients’ survival. Therefore, it is necessary to explore the immunological characteristics of PCa. Methods First, we retrieved RNA-seq and clinical data of 499 PCa and 52 normal prostate tissue samples from the Cancer Genome Atlas (TCGA). We identified 193 differentially expressed immune-related genes (IRGs) between PCa and normal prostate tissues. Functional enrichment analyses showed that the immune system can participate in PCa initiation. Then, we constructed a correlation network between transcription factors (TFs) and IRGs. We performed univariate and multivariate Cox regression analyses and identified five key prognostic IRGs (S100A2, NOX1, IGHV7-81, AMH, and AGTR1). Finally, a predictive nomogram was established and verified by the C-index. Results We successfully constructed and validated an immune-related PCa prediction model. The signature could independently predict PCa patients’ survival. Results showed that high-immune-risk patients were correlated with advanced stage. We also validated the S100A2 expression in vitro using PCa and normal prostate tissues. We found that higher S100A2 expressions were related to lower biochemical recurrences. Additionally, higher AMH expressions were related to higher Gleason score, lymph node metastasis and positive rate, and tumor stages, and higher ATGR1 expressions were related to lower PSA value. Conclusion Overall, we detected five IRGs (S100A2, NOX1, IGHV7-81, AMH, and AGTR1) that can be used as independent PCa prognostic factors.
Related Topics
Concepts
Prostate cancer
Nomogram
Medicine
Oncology
Proportional hazards model
Biochemical recurrence
Internal medicine
Prostate
Immune system
Cancer
Immunology
Prostatectomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fonc.2021.711258
- https://www.frontiersin.org/articles/10.3389/fonc.2021.711258/pdf
- OA Status
- gold
- Cited By
- 5
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3201344928
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3201344928Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fonc.2021.711258Digital Object Identifier
- Title
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Development and Verification of a Prostate Cancer Prognostic Signature Based on an Immunogenomic Landscape AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-09-09Full publication date if available
- Authors
-
Hong Cheng, Yi Wang, Chunhui Liu, Tiange Wu, Shuqiu Chen, Ming ChenList of authors in order
- Landing page
-
https://doi.org/10.3389/fonc.2021.711258Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fonc.2021.711258/pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fonc.2021.711258/pdfDirect OA link when available
- Concepts
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Prostate cancer, Nomogram, Medicine, Oncology, Proportional hazards model, Biochemical recurrence, Internal medicine, Prostate, Immune system, Cancer, Immunology, ProstatectomyTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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