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A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma
BACKGROUND: As the second most common malignancy in adults, papillary renal cell carcinoma (PRCC) has shown an increasing trend in both incidence and mortality. Effective treatment for advanced metastatic PRCC is still lacking. In this study, we aimed to establish competitive endogenous RNA (ceRNA)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607257/ https://www.ncbi.nlm.nih.gov/pubmed/34598322 http://dx.doi.org/10.1002/cam4.4309 |
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author | Fan, Yaqi Dai, Fangfang Yuan, Mengqin Wang, Feiyan Wu, Nanhui Xu, Mingyuan Bai, Yun Liu, Yeqiang |
author_facet | Fan, Yaqi Dai, Fangfang Yuan, Mengqin Wang, Feiyan Wu, Nanhui Xu, Mingyuan Bai, Yun Liu, Yeqiang |
author_sort | Fan, Yaqi |
collection | PubMed |
description | BACKGROUND: As the second most common malignancy in adults, papillary renal cell carcinoma (PRCC) has shown an increasing trend in both incidence and mortality. Effective treatment for advanced metastatic PRCC is still lacking. In this study, we aimed to establish competitive endogenous RNA (ceRNA) networks related to PRCC tumorigenesis, and analyze the specific role of differentially expressed ceRNA components and infiltrating immune cells in tumorigenesis. METHODS: CeRNA networks were established to identify the key ceRNAs related to PRCC tumorigenesis based on the 318 samples from The Cancer Genome Atlas database (TCGA), including 285 PRCC and 33 normal control samples. The R package, “CIBERSORT,” was used to evaluate the infiltration of 22 types of immune cells. Then we identified the significant ceRNAs and immune cells, based on which two nomograms were obtained for predicting the prognosis in PRCC patients. Finally, we investigated the co‐expression of PRCC‐specific immune cells and core ceRNAs via Pearson correlation test. RESULTS: COL1A1, H19, ITPKB, LDLR, TCF4, and WNK3 were identified as hub genes in ceRNA networks. Four prognostic‐related tumor‐infiltrating immune cells, including T cells CD4 memory resting, Macrophages M1, and Macrophages M2 were revealed. Pearson correlation test indicated that Macrophage M1 was negatively related with COL1A1 (p < 0.01) and LDLR (p < 0.01), while Macrophage M2 was positively related with COL1A1 (p < 0.01), TCF4 (p < 0.01), and H19 (p = 0.032). Two nomograms were conducted with favorable accuracies (area under curve of 1‐year survival: 0.935 and 0.877; 3‐year survival: 0.849 and 0.841; and 5‐year survival: 0.818 and 0.775, respectively). CONCLUSION: The study constructed two nomograms suited for PRCC prognosis predicting. Moreover, we concluded that H19‐miR‐29c‐3p‐COL1A1 axis might promote the polarization of M2 macrophages and inhibit M1 macrophage activation through Wnt signaling pathway, collaborating to promote PRCC tumorigenesis and lead to poor overall survival of PRCC patients. |
format | Online Article Text |
id | pubmed-8607257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86072572021-11-29 A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma Fan, Yaqi Dai, Fangfang Yuan, Mengqin Wang, Feiyan Wu, Nanhui Xu, Mingyuan Bai, Yun Liu, Yeqiang Cancer Med Bioinfomatics BACKGROUND: As the second most common malignancy in adults, papillary renal cell carcinoma (PRCC) has shown an increasing trend in both incidence and mortality. Effective treatment for advanced metastatic PRCC is still lacking. In this study, we aimed to establish competitive endogenous RNA (ceRNA) networks related to PRCC tumorigenesis, and analyze the specific role of differentially expressed ceRNA components and infiltrating immune cells in tumorigenesis. METHODS: CeRNA networks were established to identify the key ceRNAs related to PRCC tumorigenesis based on the 318 samples from The Cancer Genome Atlas database (TCGA), including 285 PRCC and 33 normal control samples. The R package, “CIBERSORT,” was used to evaluate the infiltration of 22 types of immune cells. Then we identified the significant ceRNAs and immune cells, based on which two nomograms were obtained for predicting the prognosis in PRCC patients. Finally, we investigated the co‐expression of PRCC‐specific immune cells and core ceRNAs via Pearson correlation test. RESULTS: COL1A1, H19, ITPKB, LDLR, TCF4, and WNK3 were identified as hub genes in ceRNA networks. Four prognostic‐related tumor‐infiltrating immune cells, including T cells CD4 memory resting, Macrophages M1, and Macrophages M2 were revealed. Pearson correlation test indicated that Macrophage M1 was negatively related with COL1A1 (p < 0.01) and LDLR (p < 0.01), while Macrophage M2 was positively related with COL1A1 (p < 0.01), TCF4 (p < 0.01), and H19 (p = 0.032). Two nomograms were conducted with favorable accuracies (area under curve of 1‐year survival: 0.935 and 0.877; 3‐year survival: 0.849 and 0.841; and 5‐year survival: 0.818 and 0.775, respectively). CONCLUSION: The study constructed two nomograms suited for PRCC prognosis predicting. Moreover, we concluded that H19‐miR‐29c‐3p‐COL1A1 axis might promote the polarization of M2 macrophages and inhibit M1 macrophage activation through Wnt signaling pathway, collaborating to promote PRCC tumorigenesis and lead to poor overall survival of PRCC patients. John Wiley and Sons Inc. 2021-10-01 /pmc/articles/PMC8607257/ /pubmed/34598322 http://dx.doi.org/10.1002/cam4.4309 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Bioinfomatics Fan, Yaqi Dai, Fangfang Yuan, Mengqin Wang, Feiyan Wu, Nanhui Xu, Mingyuan Bai, Yun Liu, Yeqiang A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma |
title | A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma |
title_full | A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma |
title_fullStr | A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma |
title_full_unstemmed | A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma |
title_short | A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma |
title_sort | construction and comprehensive analysis of cerna networks and infiltrating immune cells in papillary renal cell carcinoma |
topic | Bioinfomatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607257/ https://www.ncbi.nlm.nih.gov/pubmed/34598322 http://dx.doi.org/10.1002/cam4.4309 |
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