A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma

Abstract 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...

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Autores principales:	Yaqi Fan, Fangfang Dai, Mengqin Yuan, Feiyan Wang, Nanhui Wu, Mingyuan Xu, Yun Bai, Yeqiang Liu
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	ceRNA network immune cells nomogram PRCC Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/aa3bf6dd8a6a43c6b8aadace639d4f1c
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spelling	oai:doaj.org-article:aa3bf6dd8a6a43c6b8aadace639d4f1c2021-11-22T09:08:48ZA construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma2045-763410.1002/cam4.4309https://doaj.org/article/aa3bf6dd8a6a43c6b8aadace639d4f1c2021-11-01T00:00:00Zhttps://doi.org/10.1002/cam4.4309https://doaj.org/toc/2045-7634Abstract 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.Yaqi FanFangfang DaiMengqin YuanFeiyan WangNanhui WuMingyuan XuYun BaiYeqiang LiuWileyarticleceRNA networkimmune cellsnomogramPRCCNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancer Medicine, Vol 10, Iss 22, Pp 8192-8209 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ceRNA network immune cells nomogram PRCC Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	ceRNA network immune cells nomogram PRCC Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Yaqi Fan Fangfang Dai Mengqin Yuan Feiyan Wang Nanhui Wu Mingyuan Xu Yun Bai Yeqiang Liu A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma
description	Abstract 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	article
author	Yaqi Fan Fangfang Dai Mengqin Yuan Feiyan Wang Nanhui Wu Mingyuan Xu Yun Bai Yeqiang Liu
author_facet	Yaqi Fan Fangfang Dai Mengqin Yuan Feiyan Wang Nanhui Wu Mingyuan Xu Yun Bai Yeqiang Liu
author_sort	Yaqi Fan
title	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_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_sort	construction and comprehensive analysis of cerna networks and infiltrating immune cells in papillary renal cell carcinoma
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/aa3bf6dd8a6a43c6b8aadace639d4f1c
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A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma

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