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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)...

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Autores principales: Fan, Yaqi, Dai, Fangfang, Yuan, Mengqin, Wang, Feiyan, Wu, Nanhui, Xu, Mingyuan, Bai, Yun, Liu, Yeqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
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.
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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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