Network-based identification of key master regulators associated with an immune-silent cancer phenotype
<div><p>A cancer immune phenotype characterized by an active T-helper 1 (Th1)/cytotoxic response is associated with responsiveness to immunotherapy and favorable prognosis across different tumors. However, in some cancers, such an intratumoral immune activation does not confer protection...
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2021
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| _version_ | 1864513515318935552 |
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| author | Raghvendra Mall (581171) |
| author2 | Mohamad Saad (214545) Jessica Roelands (7516439) Darawan Rinchai (742366) Khalid Kunji (828224) Hossam Almeer (9771875) Wouter Hendrickx (44559) Francesco M Marincola (808) Michele Ceccarelli (184154) Davide Bedognetti (2632474) |
| author2_role | author author author author author author author author author |
| author_facet | Raghvendra Mall (581171) Mohamad Saad (214545) Jessica Roelands (7516439) Darawan Rinchai (742366) Khalid Kunji (828224) Hossam Almeer (9771875) Wouter Hendrickx (44559) Francesco M Marincola (808) Michele Ceccarelli (184154) Davide Bedognetti (2632474) |
| author_role | author |
| dc.creator.none.fl_str_mv | Raghvendra Mall (581171) Mohamad Saad (214545) Jessica Roelands (7516439) Darawan Rinchai (742366) Khalid Kunji (828224) Hossam Almeer (9771875) Wouter Hendrickx (44559) Francesco M Marincola (808) Michele Ceccarelli (184154) Davide Bedognetti (2632474) |
| dc.date.none.fl_str_mv | 2021-05-13T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1093/bib/bbab168 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Network-based_identification_of_key_master_regulators_associated_with_an_immune-silent_cancer_phenotype/25878028 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological sciences Genetics Biomedical and clinical sciences Oncology and carcinogenesis transcription regulator master regulator analysis immunologic constant of rejection immune exclusion gene regulatory networks |
| dc.title.none.fl_str_mv | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>A cancer immune phenotype characterized by an active T-helper 1 (Th1)/cytotoxic response is associated with responsiveness to immunotherapy and favorable prognosis across different tumors. However, in some cancers, such an intratumoral immune activation does not confer protection from progression or relapse. Defining mechanisms associated with immune evasion is imperative to refine stratification algorithms, to guide treatment decisions and to identify candidates for immune-targeted therapy. Molecular alterations governing mechanisms for immune exclusion are still largely unknown. The availability of large genomic datasets offers an opportunity to ascertain key determinants of differential intratumoral immune response. We follow a network-based protocol to identify transcription regulators (TRs) associated with poor immunologic antitumor activity. We use a consensus of four different pipelines consisting of two state-of-the-art gene regulatory network inference techniques, regularized gradient boosting machines and ARACNE to determine TR regulons, and three separate enrichment techniques, including fast gene set enrichment analysis, gene set variation analysis and virtual inference of protein activity by enriched regulon analysis to identify the most important TRs affecting immunologic antitumor activity. These TRs, referred to as master regulators (MRs), are unique to immune-silent and immune-active tumors, respectively. We validated the MRs coherently associated with the immune-silent phenotype across cancers in The Cancer Genome Atlas and a series of additional datasets in the Prediction of Clinical Outcomes from Genomic Profiles repository. A downstream analysis of MRs specific to the immune-silent phenotype resulted in the identification of several enriched candidate pathways, including NOTCH1, TGF-$\beta $, Interleukin-1 and TNF-$\alpha $ signaling pathways. TGFB1I1 emerged as one of the main negative immune modulators preventing the favorable effects of a Th1/cytotoxic response.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Briefings in Bioinformatics<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1093/bib/bbab168" target="_blank">https://dx.doi.org/10.1093/bib/bbab168</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_d2d0958bd8d92a87f4c95fdd79938dbe |
| identifier_str_mv | 10.1093/bib/bbab168 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25878028 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Network-based identification of key master regulators associated with an immune-silent cancer phenotypeRaghvendra Mall (581171)Mohamad Saad (214545)Jessica Roelands (7516439)Darawan Rinchai (742366)Khalid Kunji (828224)Hossam Almeer (9771875)Wouter Hendrickx (44559)Francesco M Marincola (808)Michele Ceccarelli (184154)Davide Bedognetti (2632474)Biological sciencesGeneticsBiomedical and clinical sciencesOncology and carcinogenesistranscription regulatormaster regulator analysisimmunologic constant of rejectionimmune exclusiongene regulatory networks<div><p>A cancer immune phenotype characterized by an active T-helper 1 (Th1)/cytotoxic response is associated with responsiveness to immunotherapy and favorable prognosis across different tumors. However, in some cancers, such an intratumoral immune activation does not confer protection from progression or relapse. Defining mechanisms associated with immune evasion is imperative to refine stratification algorithms, to guide treatment decisions and to identify candidates for immune-targeted therapy. Molecular alterations governing mechanisms for immune exclusion are still largely unknown. The availability of large genomic datasets offers an opportunity to ascertain key determinants of differential intratumoral immune response. We follow a network-based protocol to identify transcription regulators (TRs) associated with poor immunologic antitumor activity. We use a consensus of four different pipelines consisting of two state-of-the-art gene regulatory network inference techniques, regularized gradient boosting machines and ARACNE to determine TR regulons, and three separate enrichment techniques, including fast gene set enrichment analysis, gene set variation analysis and virtual inference of protein activity by enriched regulon analysis to identify the most important TRs affecting immunologic antitumor activity. These TRs, referred to as master regulators (MRs), are unique to immune-silent and immune-active tumors, respectively. We validated the MRs coherently associated with the immune-silent phenotype across cancers in The Cancer Genome Atlas and a series of additional datasets in the Prediction of Clinical Outcomes from Genomic Profiles repository. A downstream analysis of MRs specific to the immune-silent phenotype resulted in the identification of several enriched candidate pathways, including NOTCH1, TGF-$\beta $, Interleukin-1 and TNF-$\alpha $ signaling pathways. TGFB1I1 emerged as one of the main negative immune modulators preventing the favorable effects of a Th1/cytotoxic response.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Briefings in Bioinformatics<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1093/bib/bbab168" target="_blank">https://dx.doi.org/10.1093/bib/bbab168</a></p>2021-05-13T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1093/bib/bbab168https://figshare.com/articles/journal_contribution/Network-based_identification_of_key_master_regulators_associated_with_an_immune-silent_cancer_phenotype/25878028CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258780282021-05-13T03:00:00Z |
| spellingShingle | Network-based identification of key master regulators associated with an immune-silent cancer phenotype Raghvendra Mall (581171) Biological sciences Genetics Biomedical and clinical sciences Oncology and carcinogenesis transcription regulator master regulator analysis immunologic constant of rejection immune exclusion gene regulatory networks |
| status_str | publishedVersion |
| title | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| title_full | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| title_fullStr | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| title_full_unstemmed | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| title_short | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| title_sort | Network-based identification of key master regulators associated with an immune-silent cancer phenotype |
| topic | Biological sciences Genetics Biomedical and clinical sciences Oncology and carcinogenesis transcription regulator master regulator analysis immunologic constant of rejection immune exclusion gene regulatory networks |