Evidence map›Paper›PMID 36865537›Full record

ArticleFrontiers in immunology2023

TNFR2 expression predicts the responses to immune checkpoint inhibitor treatments.

Ping Liao, Mengmeng Jiang, Md Sahidul Islam, Yiru Wang, Xin Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  6. Article
  7. Role of CD4Journal of translational medicine · 2025
    Review
  8. Immune evasion and resistance in breast cancer.American journal of cancer research · 2025
    Review
  9. Article
  10. Review
  11. Article
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 1 institution in 1 country.

Ping LiaoInstitute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, Macao SAR, China.
Mengmeng JiangInstitute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, Macao SAR, China.
Md Sahidul IslamInstitute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, Macao SAR, China.
Yiru WangInstitute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, Macao SAR, China.
Xin ChenInstitute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, Macao SAR, China.
University of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) by targeting PD-1/PD-L1 or CTLA-4 have markedly improved the outcome of cancer patients. However, most solid tumor patients can't benefit from such therapy. Identification of novel biomarkers to predict the responses of ICIs is crucial to enhance their therapeutic efficacy. TNFR2 is highly expressed by the maximally immunosuppressive subset of CD4

Indexed as

Immune Checkpoint InhibitorsNeoplasmsReceptors, Tumor Necrosis Factor, Type IIBreast NeoplasmsCarcinoma, HepatocellularCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellFemaleHumansLiver NeoplasmsLung NeoplasmsMelanomaTumor MicroenvironmentImmune Checkpoint InhibitorsReceptors, Tumor Necrosis Factor, Type IITNFRSF1B protein, humanbiomarkerCD4 + Foxp3 + regulatory T cellsexhausted CD8 T cellsimmune checkpoint inhibitorsTNFR2tumor microenvironment

Identifiers

PMID36865537
PMCPMC9971721
OpenAlexW4320723494

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.