Evidence map›Paper›PMID 32627031›Full record

ReviewOncology reports2020

Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review).

Wenjie You, Bin Shang, Jian Sun, Xueqing Liu, Lili Su, Shujuan Jiang

Open access · hybridAbstract readReview
In one paragraph

Review in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  5. Observational
  6. Review
  7. Review
  8. Understanding the role of TNFR2 signaling in the tumor microenvironment of breast cancer.Journal of experimental & clinical cancer research : CR · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Advanced Melanoma: Resistance Mechanisms to Current Therapies.Hematology/oncology clinics of North America · 2021
    Review
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Wenjie YouDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China.
Bin ShangDepartment of Thoracic Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China.
Jian SunDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China.
Xueqing LiuDepartment of Respiratory and Critical Care Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China.
Lili SuDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China.
Shujuan JiangDepartment of Respiratory and Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China.
Shandong University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Checkpoint inhibitor‑based immunotherapy has exhibited unprecedented success in the treatment of advanced‑stage cancer in recent years. Several therapeutic antibodies targeting programmed death‑1 (PD‑1) or its ligand (PD‑L1) have received regulatory approvals for the treatment of multiple malignancies, including melanoma, non‑small cell lung cancer, kidney cancer and Hodgkin's lymphoma. However, a substantial proportion of patients still do not benefit from these agents, let alone the risk of immune‑associated toxicities and financial burden. Therefore, it is imperative to identify valid predictive biomarkers which can help optimize the selection of patients. In this review, a mechanism‑based interpretation of tumor PD‑L1 expression and other candidate biomarkers of response to antitumor PD‑1/PD‑L1 blockade was provided, particularly for the tumor microenvironment‑derived 'immunomes', and the challenges faced in their clinical use was addressed. Directions for future biomarker development and the potential of combined biomarker strategies were also proposed.

Indexed as

B7-H1 AntigenBiomarkers, TumorClinical Decision-MakingDNA Mutational AnalysisDrug Resistance, NeoplasmHumansImmune Checkpoint InhibitorsMutationNeoplasmsPatient SelectionPrognosisProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-CellTumor MicroenvironmentB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-Cellanti-PD-1/PD-L1 immunotherapycombined biomarker strategiestumor microenvironmenttumor mutational burden

Identifiers

PMID32627031
PMCPMC7336519
OpenAlexW3035636903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.