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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....

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Autores principales: Mao, Xuanyu, Cai, Yimeng, Long, Sarah, Perez-Losada, Jesus, Mao, Jian-Hua, Chang, Hang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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