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Cancer
Article . 2017 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Cancer
Article
License: CC BY NC
Data sources: UnpayWall
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PubMed Central
Article . 2017
Data sources: PubMed Central
Cancer
Article . 2017
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T‐cell infiltration and clonality correlate with programmed cell death protein 1 and programmed death‐ligand 1 expression in patients with soft tissue sarcomas

Authors: Seth M. Pollack; Qianchuan He; Jennifer H. Yearley; Ryan Emerson; Marissa Vignali; Yuzheng Zhang; Mary W. Redman; +17 Authors

T‐cell infiltration and clonality correlate with programmed cell death protein 1 and programmed death‐ligand 1 expression in patients with soft tissue sarcomas

Abstract

BACKGROUNDPatients with metastatic sarcomas have poor outcomes and although the disease may be amenable to immunotherapies, information regarding the immunologic profiles of soft tissue sarcoma (STS) subtypes is limited.METHODSThe authors identified patients with the common STS subtypes: leiomyosarcoma, undifferentiated pleomorphic sarcoma (UPS), synovial sarcoma (SS), well‐differentiated/dedifferentiated liposarcoma, and myxoid/round cell liposarcoma. Gene expression, immunohistochemistry for programmed cell death protein (PD‐1) and programmed death‐ligand 1 (PD‐L1), and T‐cell receptor Vβ gene sequencing were performed on formalin‐fixed, paraffin‐embedded tumors from 81 patients. Differences in liposarcoma subsets also were evaluated.RESULTSUPS and leiomyosarcoma had high expression levels of genes related to antigen presentation and T‐cell infiltration. UPS were found to have higher levels of PD‐L1 (P≤.001) and PD‐1 (P≤.05) on immunohistochemistry and had the highest T‐cell infiltration based on T‐cell receptor sequencing, significantly more than SS, which had the lowest (P≤.05). T‐cell infiltrates in UPS also were more oligoclonal compared with SS and liposarcoma (P≤.05). A model adjusted for STS histologic subtype found that for all sarcomas, T‐cell infiltration and clonality were highly correlated with PD‐1 and PD‐L1 expression levels (P≤.01).CONCLUSIONSIn the current study, the authors provide the most detailed overview of the immune microenvironment in sarcoma subtypes to date. UPS, which is a more highly mutated STS subtype, provokes a substantial immune response, suggesting that it may be well suited to treatment with immune checkpoint inhibitors. The SS and liposarcoma subsets are less mutated but do express immunogenic self‐antigens, and therefore strategies to improve antigen presentation and T‐cell infiltration may allow for successful immunotherapy in patients with these diagnoses. Cancer 2017;123:3291‐304. © 2017 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. This is an open access article under the terms of the Creative Commons Attribution NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Country
United Kingdom
Keywords

Adult, Male, Databases, Factual, T-Lymphocytes, Biopsy, Programmed Cell Death 1 Receptor, Soft Tissue Neoplasms, Disease-Free Survival, Cohort Studies, Databases, Young Adult, 616, Needle, 80 and over, Cluster Analysis, Humans, Neoplasm Invasiveness, Factual, Retrospective Studies, Aged, Neoplasm Staging, Aged, 80 and over, Neoplastic, Analysis of Variance, Biopsy, Needle, Sarcoma, Original Articles, Middle Aged, Prognosis, Survival Analysis, Combined Modality Therapy, Immunohistochemistry, Clone Cells, Gene Expression Regulation, Neoplastic, Gene Expression Regulation, Female

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
237
Top 1%
Top 1%
Top 1%
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