Evidence map›Paper›PMID 29163786›Full record

ArticleOncotarget2017

Axl inhibition induces the antitumor immune response which can be further potentiated by PD-1 blockade in the mouse cancer models.

Zhiqiang Guo, Yan Li, Dandan Zhang, Jiaying Ma

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

65 citing papers in PubMed, 92 citations in OpenAlex.

  1. Trial
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  7. AXL Inhibitors in Oncology Clinical Trials: A Review.Journal of immunotherapy and precision oncology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. AXL signaling in cancer: from molecular insights to targeted therapies.Signal transduction and targeted therapy · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 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

4 authors at 1 institution in 1 country.

Zhiqiang GuoDepartment of Gynecology and Obstetrics, Shengjing Hospital, China Medical University, ShenYang, China.
Yan LiDepartment of Biotherapy, Cancer Research Institute, The First Affiliated Hospital of China Medical University, ShenYang, China.
Dandan ZhangDepartment of Gynecology and Obstetrics, Shengjing Hospital, China Medical University, ShenYang, China.
Jiaying MaDepartment of Gynecology and Obstetrics, Shengjing Hospital, China Medical University, ShenYang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blockers (ICB) have emerged as a promising new class of antitumor agents which significantly change the treatment landscape in a range of tumors; however, cancer patients benefited from ICB-based immunotherapy remains limited, scoring the need to explore the combination treatments with synergistic mechanisms of action. Axl receptor tyrosine kinase critically involves in the carcinogenesis of multiple cancers due to its dual roles in both promoting cancer invasion and metastasis and suppressing myeloid cell activation and function. Here, we found that Axl inhibition by tyrosine kinase inhibitors induces antitumor efficacy critically depending on immune effector mechanisms in two highly clinical relevant murine tumor models. Mechanistic investigation defined that Axl inhibition reprograms the immunological microenvironment leading to the increased proliferation, activation and effector function of tumor-infiltrating CD4

Indexed as

AxlCD103+ DCimmune checkpointPD-1R428

Identifiers

PMID29163786
PMCPMC5685707
OpenAlexW2758315173

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.