Evidence map›Paper›PMID 30139382›Full record

ReviewMolecular cancer2018

Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors.

Ming Yi, Dechao Jiao, Hanxiao Xu, Qian Liu, Weiheng Zhao, Xinwei Han, Kongming Wu

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 479 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
479citing papers in PubMed, 5 pooled it
27.6field-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

479 citing papers in PubMed, 5 syntheses or guidelines pooled it, 782 citations in OpenAlex.

  1. Pooled it
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  5. Correlation between exosomal PD-L1 and prognosis in patients with cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  6. Trial
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  11. Adaptive resistance in cancer immunotherapy.Cellular & molecular immunology · 2026
    Review
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  14. Loss of ARID1A expression is associated with worse survival and reduced tumor infiltrating lymphocytes in advanced clear cell renal cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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419 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

7 authors at 2 institutions in 1 country.

Ming YiDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dechao JiaoDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Hanxiao XuDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Qian LiuDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Weiheng ZhaoDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xinwei HanDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. hanxinwei2006@163.com.
Kongming WuDepartment of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. kmwu@tjh.tjmu.edu.cn.ORCID 0000-0003-2499-1032
Tongji Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) is a negative modulatory signaling pathway for activation of T cell. It is acknowledged that PD-1/PD-L1 axis plays a crucial role in the progression of tumor by altering status of immune surveillance. As one of the most promising immune therapy strategies, PD-1/PD-L1 inhibitor is a breakthrough for the therapy of some refractory tumors. However, response rate of PD-1/PD-L1 inhibitors in overall patients is unsatisfactory, which limits the application in clinical practice. Therefore, biomarkers which could effectively predict the efficacy of PD-1/PD-L1 inhibitors are crucial for patient selection. Biomarkers reflecting tumor immune microenvironment and tumor cell intrinsic features, such as PD-L1 expression, density of tumor infiltrating lymphocyte (TIL), tumor mutational burden, and mismatch-repair (MMR) deficiency, have been noticed to associate with treatment effect of anti-PD-1/anti-PD-L1 therapy. Furthermore, gut microbiota, circulating biomarkers, and patient previous history have been found as valuable predictors as well. Therefore establishing a comprehensive assessment framework involving multiple biomarkers would be meaningful to interrogate tumor immune landscape and select sensitive patients.

Indexed as

MutationAntibodies, MonoclonalAntineoplastic AgentsB7-H1 AntigenHumansImmunotherapyLymphocytes, Tumor-InfiltratingNeoplasmsProgrammed Cell Death 1 ReceptorTreatment OutcomeTumor MicroenvironmentAntibodies, MonoclonalAntineoplastic AgentsB7-H1 AntigenCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 ReceptorGut microbiotaMicrosatellite instabilityPD-1/PD-L1 inhibitorsPeripheral biomarkerPredictive biomarkersTumor mutational burden

Identifiers

PMID30139382
PMCPMC6107958
OpenAlexW2888408613

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.