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Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials

BACKGROUND: Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. Previous studies have demonstrated that dysregulated ERV transcription level is associated with immune cell infiltration in cancers, but the association between ERV exp...

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Autores principales: Zhou, Jian-Guo, Zeng, Yu, Wang, Haitao, Jin, Su-Han, Wang, Yun-Jia, He, Sisi, Frey, Benjamin, Fietkau, Rainer, Hecht, Markus, Ma, Hu, Zhang, Wenchuan, Gaipl, Udo S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442641/
https://www.ncbi.nlm.nih.gov/pubmed/37614979
http://dx.doi.org/10.1177/17588359221126154
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author Zhou, Jian-Guo
Zeng, Yu
Wang, Haitao
Jin, Su-Han
Wang, Yun-Jia
He, Sisi
Frey, Benjamin
Fietkau, Rainer
Hecht, Markus
Ma, Hu
Zhang, Wenchuan
Gaipl, Udo S.
author_facet Zhou, Jian-Guo
Zeng, Yu
Wang, Haitao
Jin, Su-Han
Wang, Yun-Jia
He, Sisi
Frey, Benjamin
Fietkau, Rainer
Hecht, Markus
Ma, Hu
Zhang, Wenchuan
Gaipl, Udo S.
author_sort Zhou, Jian-Guo
collection PubMed
description BACKGROUND: Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. Previous studies have demonstrated that dysregulated ERV transcription level is associated with immune cell infiltration in cancers, but the association between ERV expression and programmed cell death protein 1 (PD-1) blockade response is currently unraveled for solid cancers, such as advanced clear cell renal cell carcinoma (ccRCC). METHODS: ERV mRNA profiles were obtained from three clinical trials of ccRCC where the patients were treated with anti-PD-1 (CM-009, CM-010, CM-025, and TCGA-KIRC data). Patients treated with nivolumab were divided into training and test cohort, while the TCGA-KIRC cohort was used as an external validation. Univariate Cox regression analysis and least absolute shrinkage and selection operator regression were used to establish the signature. Immune cell infiltration analysis and gene set enrichment analysis were performed to explore potential biological mechanisms. RESULTS: An ERV signature was established based on nine ERV expression patterns. In the training cohort, the median overall survival in the low- and high-risk group was 45.2 and 19.6 months [hazard ratio (HR) = 0.49, 0.32–0.75, p < 0.001], respectively. The results were confirmed in the test (HR = 0.41, 0.20–0.83, p = 0.013), and in the TCGA-KIRC cohort (HR = 0.55, 0.34–0.90, p = 0.017). Moreover, in the CM-025 cohort, the low-risk group that received nivolumab had a more favorable survival compared with those that received the mTOR inhibitor everolimus, while no significant differences were observed in the high-risk group. CD8+ T cells were enriched in the low-risk group, while immune suppressive pathways were suppressed. CONCLUSION: The newly identified ERV signature is not only a prognostic, but also a predictive biomarker for advanced ccRCC patients who received anti-PD-1 therapy, which can guide personalized treatment in cancer patients in the future.
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spelling pubmed-104426412023-08-23 Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials Zhou, Jian-Guo Zeng, Yu Wang, Haitao Jin, Su-Han Wang, Yun-Jia He, Sisi Frey, Benjamin Fietkau, Rainer Hecht, Markus Ma, Hu Zhang, Wenchuan Gaipl, Udo S. Ther Adv Med Oncol Using RNA Sequencing and Profiling in Diagnosis and Treatment of Cancer BACKGROUND: Endogenous retrovirus (ERV) elements are genomic footprints of ancestral retroviral infections within the human genome. Previous studies have demonstrated that dysregulated ERV transcription level is associated with immune cell infiltration in cancers, but the association between ERV expression and programmed cell death protein 1 (PD-1) blockade response is currently unraveled for solid cancers, such as advanced clear cell renal cell carcinoma (ccRCC). METHODS: ERV mRNA profiles were obtained from three clinical trials of ccRCC where the patients were treated with anti-PD-1 (CM-009, CM-010, CM-025, and TCGA-KIRC data). Patients treated with nivolumab were divided into training and test cohort, while the TCGA-KIRC cohort was used as an external validation. Univariate Cox regression analysis and least absolute shrinkage and selection operator regression were used to establish the signature. Immune cell infiltration analysis and gene set enrichment analysis were performed to explore potential biological mechanisms. RESULTS: An ERV signature was established based on nine ERV expression patterns. In the training cohort, the median overall survival in the low- and high-risk group was 45.2 and 19.6 months [hazard ratio (HR) = 0.49, 0.32–0.75, p < 0.001], respectively. The results were confirmed in the test (HR = 0.41, 0.20–0.83, p = 0.013), and in the TCGA-KIRC cohort (HR = 0.55, 0.34–0.90, p = 0.017). Moreover, in the CM-025 cohort, the low-risk group that received nivolumab had a more favorable survival compared with those that received the mTOR inhibitor everolimus, while no significant differences were observed in the high-risk group. CD8+ T cells were enriched in the low-risk group, while immune suppressive pathways were suppressed. CONCLUSION: The newly identified ERV signature is not only a prognostic, but also a predictive biomarker for advanced ccRCC patients who received anti-PD-1 therapy, which can guide personalized treatment in cancer patients in the future. SAGE Publications 2022-09-24 /pmc/articles/PMC10442641/ /pubmed/37614979 http://dx.doi.org/10.1177/17588359221126154 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Using RNA Sequencing and Profiling in Diagnosis and Treatment of Cancer
Zhou, Jian-Guo
Zeng, Yu
Wang, Haitao
Jin, Su-Han
Wang, Yun-Jia
He, Sisi
Frey, Benjamin
Fietkau, Rainer
Hecht, Markus
Ma, Hu
Zhang, Wenchuan
Gaipl, Udo S.
Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
title Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
title_full Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
title_fullStr Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
title_full_unstemmed Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
title_short Identification of an endogenous retroviral signature to predict anti-PD1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
title_sort identification of an endogenous retroviral signature to predict anti-pd1 response in advanced clear cell renal cell carcinoma: an integrated analysis of three clinical trials
topic Using RNA Sequencing and Profiling in Diagnosis and Treatment of Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442641/
https://www.ncbi.nlm.nih.gov/pubmed/37614979
http://dx.doi.org/10.1177/17588359221126154
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