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dc.contributor.authorKorlimarla, A
dc.contributor.authorPs, H
dc.contributor.authorPrabhu, J
dc.contributor.authorRagulan, C
dc.contributor.authorPatil, Y
dc.contributor.authorVp, S
dc.contributor.authorDesai, K
dc.contributor.authorMathews, A
dc.contributor.authorAppachu, S
dc.contributor.authorDiwakar, RB
dc.contributor.authorBs, S
dc.contributor.authorMelcher, A
dc.contributor.authorCheang, M
dc.contributor.authorSadanandam, A
dc.coverage.spatialUnited States
dc.date.accessioned2022-10-17T14:22:49Z
dc.date.available2022-10-17T14:22:49Z
dc.date.issued2022-11-01
dc.identifier101511
dc.identifierS1936-5233(22)00170-X
dc.identifier.citationTranslational Oncology, 2022, 25 pp. 101511 -
dc.identifier.issn1936-5233
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/5537
dc.identifier.eissn1936-5233
dc.identifier.eissn1936-5233
dc.identifier.doi10.1016/j.tranon.2022.101511
dc.description.abstractPURPOSE: Triple-negative breast cancer (TNBC) is a heterogeneous disease with a significant challenge to effectively manage in the clinic worldwide. Immunotherapy may be beneficial to TNBC patients if responders can be effectively identified. Here we sought to elucidate the immune landscape of TNBCs by stratifying patients into immune-specific subtypes (immunotypes) to decipher the molecular and cellular presentations and signaling events of this heterogeneous disease and associating them with their clinical outcomes and potential treatment options. EXPERIMENTAL DESIGN: We profiled 730 immune genes in 88 retrospective Indian TNBC samples using the NanoString platform, established immunotypes using non-negative matrix factorization-based machine learning approach, and validated them using Western TNBCs (n=422; public datasets). Immunotype-specific gene signatures were associated with clinicopathological features, immune cell types, biological pathways, acute/chronic inflammatory responses, and immunogenic cell death processes. Responses to different immunotherapies associated with TNBC immunotypes were assessed using cross-cancer comparison to melanoma (n=504). Tumor-infiltrating lymphocytes (TILs) and pan-macrophage spatial marker expression were evaluated. RESULTS: We identified three robust transcriptome-based immunotypes in both Indian and Western TNBCs in similar proportions. Immunotype-1 tumors, mainly representing well-known claudin-low and immunomodulatory subgroups, harbored dense TIL infiltrates and T-helper-1 (Th1) response profiles associated with smaller tumors, pre-menopausal status, and a better prognosis. They displayed a cascade of events, including acute inflammation, damage-associated molecular patterns, T-cell receptor-related and chemokine-specific signaling, antigen presentation, and viral-mimicry pathways. On the other hand, immunotype-2 was enriched for Th2/Th17 responses, CD4+ regulatory cells, basal-like/mesenchymal immunotypes, and an intermediate prognosis. In contrast to the two T-cell enriched immunotypes, immunotype-3 patients expressed innate immune genes/proteins, including those representing myeloid infiltrations (validated by spatial immunohistochemistry), and had poor survival. Remarkably, a cross-cancer comparison analysis revealed the association of immunotype-1 with responses to anti-PD-L1 and MAGEA3 immunotherapies. CONCLUSION: Overall, the TNBC immunotypes identified in TNBCs reveal different prognoses, immune infiltrations, signaling, acute/chronic inflammation leading to immunogenic cell death of cancer cells, and potentially distinct responses to immunotherapies. The overlap in immune characteristics in Indian and Western TNBCs suggests similar efficiency of immunotherapy in both populations if strategies to select patients according to immunotypes can be further optimized and implemented.
dc.formatPrint-Electronic
dc.format.extent101511 -
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofTranslational Oncology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGlobal oncology
dc.subjectImmune cells
dc.subjectImmune subtypes
dc.subjectImmunotherapy
dc.subjectIndia
dc.subjectTriple-negative breast cancer
dc.titleComprehensive characterization of immune landscape of Indian and Western triple negative breast cancers.
dc.typeJournal Article
dcterms.dateAccepted2022-08-02
dc.date.updated2022-10-17T14:21:50Z
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1016/j.tranon.2022.101511
rioxxterms.licenseref.startdate2022-11-01
rioxxterms.typeJournal Article/Review
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/35964339
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Clinical Trials & Statistics Unit
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Systems and Precision Cancer Medicine
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/ImmNet
pubs.organisational-group/ICR/Students/PhD and MPhil/21/22 Starting Cohort
pubs.publication-statusPublished
pubs.publisher-urlhttp://dx.doi.org/10.1016/j.tranon.2022.101511
pubs.volume25
icr.researchteamSystems - Precision Med
icr.researchteamClin Trials & Stats Unit
dc.contributor.icrauthorRagulan, Chanthirika
dc.contributor.icrauthorMelcher, Alan
dc.contributor.icrauthorCheang, Chon
icr.provenanceDeposited by Mr Arek Surman on 2022-10-17. Deposit type is initial. No. of files: 1. Files: Comprehensive characterization of immune landscape of Indian and Western triple negative breast cancers.pdf


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