Cited by 75Sarcoma Diagnosis and TreatmentCancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Sarcomas: Immune biomarker expression and checkpoint inhibitor trials

Open access
Zhu, Mayanne M.T., Shenasa, Elahe, Nielsen, Torsten O.·2020·Cancer Treatment Reviews

Abstract

Sarcomas are a heterogenous group of mesenchymal cancers comprising over 100 subtypes. Current chemotherapy for all but a very few subtypes has limited efficacy, resulting in 5-year relative survival rates of 16% for metastatic patients. While sarcomas have often been regarded as an "immune cold" tumor category, recent biomarker studies have confirmed a great deal of immune heterogeneity across sarcoma subtypes. Reports from the first generation of clinical trials treating sarcomas with immunotherapy demonstrate a few positive responses, supporting efforts to stratify patients to optimize response rates. This review summarizes recent advances in knowledge around immune biomarker expression in sarcomas, the potential use of new technologies to complement these study results, and clinical trials particularly of immune checkpoint inhibitor therapy in sarcomas. Each of the immune biomarkers assessed was reviewed for subtype-specific expression patterns and correlation with prognosis. Overall, there is extensive heterogeneity of immune biomarker presence across sarcoma subtypes, and no consensus on the prognostic effect of these biomarkers. New technologies such as multiplex immunohistochemistry and high plex in situ profiling may offer more insights into the sarcoma microenvironment. To date, clinical trials using immune checkpoint inhibitor monotherapy have not shown compelling clinical benefits. Combination therapy with dual checkpoint inhibitors or in combinations with other agents has yielded more promising results in dedifferentiated liposarcoma, undifferentiated pleomorphic sarcoma, angiosarcoma and alveolar soft-part sarcoma. Better understanding of the sarcoma immune status through biomarkers may help decipher the reasons behind differential responses to immunotherapy.

Integrity signals

Registry

Crossref · 10.1016/j.ctrv.2020.102115

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Predictive biomarkers for immunotherapy benefit include high tumor mutation burden, presence of tumor-infiltrating immune cells including T cells and natural killer cells, and lower percentage of myeloid-derived suppressor cells.

    “predictive biomarkers that may help in identifying patients likely to benefit from immunotherapy, including ICI, are high tumor mutation burden (TMB), presence of tumor‐infiltrating immune cells, including T cells, natural killer (NK) cells, and lower percentage of myeloid‐derived suppressor cells (MDSCs). 16”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zhu, M. M. T., Shenasa, E., & Nielsen, T. O.
Affiliations
University of British Columbia (CA)
Corresponding author
Nielsen, Torsten O.
Venue
Cancer Treatment Reviews
Publisher
Elsevier BV
Published
2020-12
Volume
91
Pages
102115
ISSN
0305-7372 (ISSN-L)
OpenAlex
W3093855610
Cited by
75
References
9
Citations by year
2026: 9 · 2025: 10 · 2024: 10 · 2023: 19 · 2022: 15 · 2021: 10 · 2020: 2
FWCI
1.61
Type
journal article
Language
en
Open access
Locations
  • Cancer Treatment Reviews (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Terry Fox Research Institute
  • Canadian Cancer Society
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Sarcoma Diagnosis and Treatment
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
sarcoma, immunological markers, immune checkpoint inhibitors, tumor immune microenvironment, cold tumors, sarcoma subtypes, dedifferentiated liposarcoma, malignant fibrous histiocytoma, angiosarcoma, alveolar soft part sarcoma, immunotherapy response, multiplex immunohistochemistry, prognostic factors
MeSH terms
Immune Checkpoint Inhibitors, Adolescent, Adult, Aged, Child, Child, Preschool, Clinical Trials as Topic, Humans, Immunotherapy, Middle Aged, Prognosis, Sarcoma, Biomarkers, Tumor, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review