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Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma
Adrenocortical carcinoma (ACC) is a rare but highly aggressive malignancy. Nearly half of ACC tumours overproduce and secrete adrenal steroids. Excess cortisol secretion, in particular, has been associated with poor prognosis among ACC patients. Furthermore, recent immunotherapy clinical trials have...
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/PMC8572764/ https://www.ncbi.nlm.nih.gov/pubmed/34664400 http://dx.doi.org/10.1111/jcmm.16936 |
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author | Baechle, Jordan J. Hanna, David N. Sekhar, Konjeti R. Rathmell, Jeffrey C. Rathmell, W. Kimryn Baregamian, Naira |
author_facet | Baechle, Jordan J. Hanna, David N. Sekhar, Konjeti R. Rathmell, Jeffrey C. Rathmell, W. Kimryn Baregamian, Naira |
author_sort | Baechle, Jordan J. |
collection | PubMed |
description | Adrenocortical carcinoma (ACC) is a rare but highly aggressive malignancy. Nearly half of ACC tumours overproduce and secrete adrenal steroids. Excess cortisol secretion, in particular, has been associated with poor prognosis among ACC patients. Furthermore, recent immunotherapy clinical trials have demonstrated significant immunoresistance among cortisol‐secreting ACC (CS‐ACC) patients when compared to their non‐cortisol‐secreting (nonCS‐ACC) counterparts. The immunosuppressive role of excess glucocorticoid therapies and hypersecretion is known; however, the impact of the cortisol hypersecretion on ACC tumour microenvironment (TME), immune expression profiles and immune cell responses remain largely undefined. In this study, we characterized the TME of ACC patients and compared the immunogenomic profiles of nonCS‐ACC and CS‐ACC tumours to assess the impact of differentially expressed genes (DEGs) by utilizing The Cancer Genome Atlas (TCGA) database. Immunogenomic comparison (CS‐ vs. nonCS‐ACC tumour TMEs) demonstrated an immunosuppressive expression profile with a direct impact on patient survival. We identified several primary prognostic indicators and potential targets within ACC tumour immune landscape. Differentially expressed immune genes with prognostic significance provide additional insight into the understanding of potential contributory mechanisms underlying failure of initial immunotherapeutic trials and poor prognosis of patients with CS‐ACC. |
format | Online Article Text |
id | pubmed-8572764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85727642021-11-10 Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma Baechle, Jordan J. Hanna, David N. Sekhar, Konjeti R. Rathmell, Jeffrey C. Rathmell, W. Kimryn Baregamian, Naira J Cell Mol Med Original Articles Adrenocortical carcinoma (ACC) is a rare but highly aggressive malignancy. Nearly half of ACC tumours overproduce and secrete adrenal steroids. Excess cortisol secretion, in particular, has been associated with poor prognosis among ACC patients. Furthermore, recent immunotherapy clinical trials have demonstrated significant immunoresistance among cortisol‐secreting ACC (CS‐ACC) patients when compared to their non‐cortisol‐secreting (nonCS‐ACC) counterparts. The immunosuppressive role of excess glucocorticoid therapies and hypersecretion is known; however, the impact of the cortisol hypersecretion on ACC tumour microenvironment (TME), immune expression profiles and immune cell responses remain largely undefined. In this study, we characterized the TME of ACC patients and compared the immunogenomic profiles of nonCS‐ACC and CS‐ACC tumours to assess the impact of differentially expressed genes (DEGs) by utilizing The Cancer Genome Atlas (TCGA) database. Immunogenomic comparison (CS‐ vs. nonCS‐ACC tumour TMEs) demonstrated an immunosuppressive expression profile with a direct impact on patient survival. We identified several primary prognostic indicators and potential targets within ACC tumour immune landscape. Differentially expressed immune genes with prognostic significance provide additional insight into the understanding of potential contributory mechanisms underlying failure of initial immunotherapeutic trials and poor prognosis of patients with CS‐ACC. John Wiley and Sons Inc. 2021-10-19 2021-11 /pmc/articles/PMC8572764/ /pubmed/34664400 http://dx.doi.org/10.1111/jcmm.16936 Text en © 2021 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and 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 | Original Articles Baechle, Jordan J. Hanna, David N. Sekhar, Konjeti R. Rathmell, Jeffrey C. Rathmell, W. Kimryn Baregamian, Naira Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
title | Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
title_full | Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
title_fullStr | Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
title_full_unstemmed | Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
title_short | Integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
title_sort | integrative computational immunogenomic profiling of cortisol‐secreting adrenocortical carcinoma |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572764/ https://www.ncbi.nlm.nih.gov/pubmed/34664400 http://dx.doi.org/10.1111/jcmm.16936 |
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