Evidence map›Paper›PMID 32398947›Full record

ReviewInternational journal of biological sciences2020

B7-H3, a checkpoint molecule, as a target for cancer immunotherapy.

Shuo Yang, Wei Wei, Qi Zhao

Open access · goldAbstract readReview
In one paragraph

Review in International journal of biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 6 pooled it
14.6field-weighted citation impact, top 1% 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

167 citing papers in PubMed, 6 syntheses or guidelines pooled it, 239 citations in OpenAlex.

  1. miRNAs Related to Immune Checkpoint Inhibitor Response: A Systematic Review.International journal of molecular sciences · 2024
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  20. Glycosylation of B7-H3 Promotes CD8International journal of biological sciences · 2026
    Article

107 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Shuo YangInstitute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SPR, China.
Wei WeiGuangdong Cord Blood Bank; Guangzhou Municipality Tianhe Nuoya Bio-engineering Co. Ltd, Guangzhou, China.
Qi ZhaoInstitute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macau SPR, China.
University of Macau · MOHenan Tianguan Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B7-H3 (also known as CD276) is a newly found molecule of B7 family, which may be a promising target for cancer treatment. B7-H3 protein was demonstrated to be expressed in several kinds of tumor tissues including non-small-cell lung cancer (NSCLC) and prostate cancer. Its expression is highly associated with undesirable treatment outcomes and survival time, due to function of the immune checkpoint molecule. It was classified as either a co-stimulatory molecule for T cell activation or the nonimmunological role of regulating signaling pathways. Although there is still no agreed conclusion on the function of B7-H3, it may be a valuable target for cancer therapy. This review aims to provide a comprehensive, up-to-date summary of the advances in B7-H3 targeting approaches in cancer therapy. Although several challenges remain, B7-H3 offers a new therapeutic target with increased efficacy and less toxicity in future cancer treatment.

Indexed as

Drug Delivery SystemsImmunotherapy, AdoptiveB7 AntigensHumansNeoplasmsB7 AntigensCD276 protein, humanantibodyB7-H3cancer immunotherapyCD276immune checkpoint

Identifiers

PMID32398947
PMCPMC7211166
OpenAlexW3015265197

What OpenQuestion holds

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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.