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Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy
Increased mitotic activity is associated with the genesis and aggressiveness of many cancers. To assess the clinical value of mitotic activity as prognostic biomarker, we performed a pan-cancer study on the mitotic network activity index (MNAI) constructed based on 54-gene mitotic apparatus network....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349373/ https://www.ncbi.nlm.nih.gov/pubmed/37456231 http://dx.doi.org/10.3389/fonc.2023.1178568 |
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author | Mao, Xuanyu Cai, Yimeng Long, Sarah Perez-Losada, Jesus Mao, Jian-Hua Chang, Hang |
author_facet | Mao, Xuanyu Cai, Yimeng Long, Sarah Perez-Losada, Jesus Mao, Jian-Hua Chang, Hang |
author_sort | Mao, Xuanyu |
collection | PubMed |
description | Increased mitotic activity is associated with the genesis and aggressiveness of many cancers. To assess the clinical value of mitotic activity as prognostic biomarker, we performed a pan-cancer study on the mitotic network activity index (MNAI) constructed based on 54-gene mitotic apparatus network. Our pan-cancer assessment on TCGA (33 tumor types, 10,061 patients) and validation on other publicly available cohorts (23 tumor types, 9,209 patients) confirmed the significant association of MNAI with overall survival, progression-free survival, and other prognostic endpoints in multiple cancer types, including lower-grade gliomas (LGG), breast invasive carcinoma (BRCA), as well as many others. We also showed significant association between MNAI and genetic instability, which provides a biological explanation of its prognostic impact at pan-cancer landscape. Our association analysis revealed that patients with high MNAI benefitted more from anti-PD-1 and Anti-CTLA-4 treatment. In addition, we demonstrated that multimodal integration of MNAI and the AI-empowered Cellular Morphometric Subtypes (CMS) significantly improved the predictive power of prognosis compared to using MNAI and CMS alone. Our results suggest that MNAI can be used as a potential prognostic biomarker for different tumor types toward different clinical endpoints, and multimodal integration of MNAI and CMS exceeds individual biomarker for precision prognosis. |
format | Online Article Text |
id | pubmed-10349373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103493732023-07-16 Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy Mao, Xuanyu Cai, Yimeng Long, Sarah Perez-Losada, Jesus Mao, Jian-Hua Chang, Hang Front Oncol Oncology Increased mitotic activity is associated with the genesis and aggressiveness of many cancers. To assess the clinical value of mitotic activity as prognostic biomarker, we performed a pan-cancer study on the mitotic network activity index (MNAI) constructed based on 54-gene mitotic apparatus network. Our pan-cancer assessment on TCGA (33 tumor types, 10,061 patients) and validation on other publicly available cohorts (23 tumor types, 9,209 patients) confirmed the significant association of MNAI with overall survival, progression-free survival, and other prognostic endpoints in multiple cancer types, including lower-grade gliomas (LGG), breast invasive carcinoma (BRCA), as well as many others. We also showed significant association between MNAI and genetic instability, which provides a biological explanation of its prognostic impact at pan-cancer landscape. Our association analysis revealed that patients with high MNAI benefitted more from anti-PD-1 and Anti-CTLA-4 treatment. In addition, we demonstrated that multimodal integration of MNAI and the AI-empowered Cellular Morphometric Subtypes (CMS) significantly improved the predictive power of prognosis compared to using MNAI and CMS alone. Our results suggest that MNAI can be used as a potential prognostic biomarker for different tumor types toward different clinical endpoints, and multimodal integration of MNAI and CMS exceeds individual biomarker for precision prognosis. Frontiers Media S.A. 2023-06-27 /pmc/articles/PMC10349373/ /pubmed/37456231 http://dx.doi.org/10.3389/fonc.2023.1178568 Text en Copyright © 2023 Mao, Cai, Long, Perez-Losada, Mao and Chang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Mao, Xuanyu Cai, Yimeng Long, Sarah Perez-Losada, Jesus Mao, Jian-Hua Chang, Hang Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy |
title | Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy |
title_full | Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy |
title_fullStr | Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy |
title_full_unstemmed | Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy |
title_short | Pan-cancer evaluation of clinical value of mitotic network activity index (MNAI) and its predictive value for immunotherapy |
title_sort | pan-cancer evaluation of clinical value of mitotic network activity index (mnai) and its predictive value for immunotherapy |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349373/ https://www.ncbi.nlm.nih.gov/pubmed/37456231 http://dx.doi.org/10.3389/fonc.2023.1178568 |
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