Evidence map›Paper›PMID 37612756›Full record

ReviewBiomarker research2023

Biomarkers for immune checkpoint inhibition in sarcomas - are we close to clinical implementation?

Chin Sern Yiong, Tzu Ping Lin, Vivian Yujing Lim, Tan Boon Toh, Valerie Shiwen Yang

Open access · goldAbstract readReview
In one paragraph

Review in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  17. Immune pathway through endometriosis to ovarian cancer.World journal of clinical oncology · 2024
    Review
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Chin Sern Yiong *Translational Precision Oncology Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore.
Tzu Ping Lin *Translational Precision Oncology Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore.
Vivian Yujing LimTranslational Precision Oncology Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore.
Tan Boon TohThe N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
Valerie Shiwen YangTranslational Precision Oncology Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore. yangswv@imcb.a-star.edu.sg.
National University of Singapore · SGInstitute of Molecular and Cell Biology · SG

Funding

Khoo Pilot Collaborative Award Duke-NUS-KP(Coll)/2022/0020ANational Medical Research Council Clinician Scientist-Individual Research Grant-New Investigator Grant CNIGnov-0025National Medical Research Council Transition Award TA20nov-0020SingHealth Duke-NUS Oncology Academic Clinical Programme 08/FY2021/EX/17-A47Terry Fox Foundation International Research Grant I1056
6 · The paper itself

Abstract

Sarcomas are a group of diverse and complex cancers of mesenchymal origin that remains poorly understood. Recent developments in cancer immunotherapy have demonstrated a potential for better outcomes with immune checkpoint inhibition in some sarcomas compared to conventional chemotherapy. Immune checkpoint inhibitors (ICIs) are key agents in cancer immunotherapy, demonstrating improved outcomes in many tumor types. However, most patients with sarcoma do not benefit from treatment, highlighting the need for identification and development of predictive biomarkers for response to ICIs. In this review, we first discuss United States (US) Food and Drug Administration (FDA)-approved and European Medicines Agency (EMA)-approved biomarkers, as well as the limitations of their use in sarcomas. We then review eight potential predictive biomarkers and rationalize their utility in sarcomas. These include gene expression signatures (GES), circulating neutrophil-to-lymphocyte ratio (NLR), indoleamine 2,3-dioxygenase (IDO), lymphocyte activation gene 3 (LAG-3), T cell immunoglobin and mucin domain-containing protein 3 (TIM-3), TP53 mutation status, B cells, and tertiary lymphoid structures (TLS). Finally, we discuss the potential for TLS as both a predictive and prognostic biomarker for ICI response in sarcomas to be implemented in the clinic.

Indexed as

Immune checkpoint inhibitorsPredictive biomarkersSarcomasTertiary lymphoid structures

Identifiers

PMID37612756
PMCPMC10463641
OpenAlexW4386091349

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.