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Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology

Resistance to programmed cell death (PCD) is a hallmark of cancer. While some PCD components are prognostic in cancer, the roles of many molecules can be masked by redundancies and crosstalks between PCD pathways, impeding the development of targeted therapeutics. Recent studies characterizing these...

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Autores principales: Mall, Raghvendra, Bynigeri, Ratnakar R, Karki, Rajendra, Malireddi, R K Subbarao, Sharma, Bhesh Raj, Kanneganti, Thirumala-Devi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623737/
https://www.ncbi.nlm.nih.gov/pubmed/36329783
http://dx.doi.org/10.1093/narcan/zcac033
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author Mall, Raghvendra
Bynigeri, Ratnakar R
Karki, Rajendra
Malireddi, R K Subbarao
Sharma, Bhesh Raj
Kanneganti, Thirumala-Devi
author_facet Mall, Raghvendra
Bynigeri, Ratnakar R
Karki, Rajendra
Malireddi, R K Subbarao
Sharma, Bhesh Raj
Kanneganti, Thirumala-Devi
author_sort Mall, Raghvendra
collection PubMed
description Resistance to programmed cell death (PCD) is a hallmark of cancer. While some PCD components are prognostic in cancer, the roles of many molecules can be masked by redundancies and crosstalks between PCD pathways, impeding the development of targeted therapeutics. Recent studies characterizing these redundancies have identified PANoptosis, a unique innate immune-mediated inflammatory PCD pathway that integrates components from other PCD pathways. Here, we designed a systematic computational framework to determine the pancancer clinical significance of PANoptosis and identify targetable biomarkers. We found that high expression of PANoptosis genes was detrimental in low grade glioma (LGG) and kidney renal cell carcinoma (KIRC). ZBP1, ADAR, CASP2, CASP3, CASP4, CASP8 and GSDMD expression consistently had negative effects on prognosis in LGG across multiple survival models, while AIM2, CASP3, CASP4 and TNFRSF10 expression had negative effects for KIRC. Conversely, high expression of PANoptosis genes was beneficial in skin cutaneous melanoma (SKCM), with ZBP1, NLRP1, CASP8 and GSDMD expression consistently having positive prognostic effects. As a therapeutic proof-of-concept, we treated melanoma cells with combination therapy that activates ZBP1 and showed that this treatment induced PANoptosis. Overall, through our systematic framework, we identified and validated key innate immune biomarkers from PANoptosis which can be targeted to improve patient outcomes in cancers.
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spelling pubmed-96237372022-11-02 Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology Mall, Raghvendra Bynigeri, Ratnakar R Karki, Rajendra Malireddi, R K Subbarao Sharma, Bhesh Raj Kanneganti, Thirumala-Devi NAR Cancer Cancer Computational Biology Resistance to programmed cell death (PCD) is a hallmark of cancer. While some PCD components are prognostic in cancer, the roles of many molecules can be masked by redundancies and crosstalks between PCD pathways, impeding the development of targeted therapeutics. Recent studies characterizing these redundancies have identified PANoptosis, a unique innate immune-mediated inflammatory PCD pathway that integrates components from other PCD pathways. Here, we designed a systematic computational framework to determine the pancancer clinical significance of PANoptosis and identify targetable biomarkers. We found that high expression of PANoptosis genes was detrimental in low grade glioma (LGG) and kidney renal cell carcinoma (KIRC). ZBP1, ADAR, CASP2, CASP3, CASP4, CASP8 and GSDMD expression consistently had negative effects on prognosis in LGG across multiple survival models, while AIM2, CASP3, CASP4 and TNFRSF10 expression had negative effects for KIRC. Conversely, high expression of PANoptosis genes was beneficial in skin cutaneous melanoma (SKCM), with ZBP1, NLRP1, CASP8 and GSDMD expression consistently having positive prognostic effects. As a therapeutic proof-of-concept, we treated melanoma cells with combination therapy that activates ZBP1 and showed that this treatment induced PANoptosis. Overall, through our systematic framework, we identified and validated key innate immune biomarkers from PANoptosis which can be targeted to improve patient outcomes in cancers. Oxford University Press 2022-11-01 /pmc/articles/PMC9623737/ /pubmed/36329783 http://dx.doi.org/10.1093/narcan/zcac033 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of NAR Cancer. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Computational Biology
Mall, Raghvendra
Bynigeri, Ratnakar R
Karki, Rajendra
Malireddi, R K Subbarao
Sharma, Bhesh Raj
Kanneganti, Thirumala-Devi
Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
title Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
title_full Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
title_fullStr Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
title_full_unstemmed Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
title_short Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology
title_sort pancancer transcriptomic profiling identifies key panoptosis markers as therapeutic targets for oncology
topic Cancer Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623737/
https://www.ncbi.nlm.nih.gov/pubmed/36329783
http://dx.doi.org/10.1093/narcan/zcac033
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