Potential prognostic biomarkers related to immunity in clear cell renal cell carcinoma using bioinformatic strategy. Issue 1 (1st January 2021)
- Record Type:
- Journal Article
- Title:
- Potential prognostic biomarkers related to immunity in clear cell renal cell carcinoma using bioinformatic strategy. Issue 1 (1st January 2021)
- Main Title:
- Potential prognostic biomarkers related to immunity in clear cell renal cell carcinoma using bioinformatic strategy
- Authors:
- Xiang, Zhenfei
Shen, Erdong
Li, Mingyao
Hu, Danfei
Zhang, Zhanchun
Yu, Senquan - Abstract:
- ABSTRACT: The clear cell renal cell carcinoma (ccRCC) is the main pathological subtype of renal cell carcinoma. Immune system evasion, one hallmark of cancer, contributes to cancer cells in escaping from the attack of immune cells. In order to identify potential prognostic biomarkers in ccRCC patients and immune cells fraction, we collected and downloaded profiles from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. We obtained 2 modules significantly associated with tumor stage and immune cells; functional enrichment analysis showed that genes in the module 'yellow' were significantly enriched in proteins targeting to membrane and ribosome, as well as the oxidative phosphorylation pathway, while genes in the module 'green' mainly participate in molecular functions associated with immunity like activation of T cells. Four LncRNAs ( LINC00472, AL590094.1, AL365203.3, and AC147651.3 ) and RPL27A and RPL22L1 in the module 'yellow' and two lncRNAs ( LINC00426 and AC129507.2 ) and five protein-coding genes ( CSF1, NOD2, ITGAE, CD7, and PDCD1 ) in the module 'green' represented independent prognostic values in patients with ccRCC. Expression of LINC0042, NOD2, CD7, and PDCD1 were significantly correlated with ratio of immune cells (like T cells CD8 and resting mast cells). LINC00426, with significant correlation with immune cell fraction, shows potential prognostic value in ccRCC patients. Our findings provide a strategy in exploring biomarkersABSTRACT: The clear cell renal cell carcinoma (ccRCC) is the main pathological subtype of renal cell carcinoma. Immune system evasion, one hallmark of cancer, contributes to cancer cells in escaping from the attack of immune cells. In order to identify potential prognostic biomarkers in ccRCC patients and immune cells fraction, we collected and downloaded profiles from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. We obtained 2 modules significantly associated with tumor stage and immune cells; functional enrichment analysis showed that genes in the module 'yellow' were significantly enriched in proteins targeting to membrane and ribosome, as well as the oxidative phosphorylation pathway, while genes in the module 'green' mainly participate in molecular functions associated with immunity like activation of T cells. Four LncRNAs ( LINC00472, AL590094.1, AL365203.3, and AC147651.3 ) and RPL27A and RPL22L1 in the module 'yellow' and two lncRNAs ( LINC00426 and AC129507.2 ) and five protein-coding genes ( CSF1, NOD2, ITGAE, CD7, and PDCD1 ) in the module 'green' represented independent prognostic values in patients with ccRCC. Expression of LINC0042, NOD2, CD7, and PDCD1 were significantly correlated with ratio of immune cells (like T cells CD8 and resting mast cells). LINC00426, with significant correlation with immune cell fraction, shows potential prognostic value in ccRCC patients. Our findings provide a strategy in exploring biomarkers with prognostic significance and significant association with the fraction of immune cells. GA: … (more)
- Is Part Of:
- Bioengineered. Volume 12:Issue 1(2021)
- Journal:
- Bioengineered
- Issue:
- Volume 12:Issue 1(2021)
- Issue Display:
- Volume 12, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 12
- Issue:
- 1
- Issue Sort Value:
- 2021-0012-0001-0000
- Page Start:
- 1773
- Page End:
- 1790
- Publication Date:
- 2021-01-01
- Subjects:
- Clear cell renal cell carcinoma -- WGCNA -- prognostic biomarker -- immune infiltration
Biomedical engineering -- Periodicals
Biotechnology -- Periodicals
Microbiology -- Periodicals
660.6 - Journal URLs:
- http://www.tandfonline.com/toc/kbie20/current ↗
http://www.landesbioscience.com/journals/bioe/ ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/21655979.2021.1924546 ↗
- Languages:
- English
- ISSNs:
- 2165-5987
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 25565.xml