Evidence map›Paper›PMID 35115949›Full record

ArticleFrontiers in pharmacology2021

A FAK Inhibitor Boosts Anti-PD1 Immunotherapy in a Hepatocellular Carcinoma Mouse Model.

Yuhua Wei, Yufeng Wang, Nanbin Liu, Ran Qi, Yan Xu, Kun Li, Yu Feng, Baomin Shi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. The integrin adhesome and control of anti-tumour immunity.Biochemical Society transactions · 2024
    Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
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

8 authors at 3 institutions in 1 country.

Yuhua WeiDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Yufeng WangDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Nanbin LiuDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Ran QiDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Yan XuDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Kun LiDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Yu FengShuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Baomin ShiDepartment of General Surgery, Tongji Hospital, Tongji University Medical School, Shanghai, China.
Tongji University · CNTongji Hospital · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-PD-1/PD-L1 immunotherapy has limited efficacy in hepatocellular carcinoma (HCC) and does not benefit all patients. A FAK inhibitor (VS-4718) has been reported to improve the microenvironment in some tumors. This study aimed to investigate the effect of the combination of the FAK inhibitor VS4718 and anti-PD1 for the treatment of HCC in a mouse model and its possible mechanism of action. The expression of FAK and infiltrated immune cells in human HCC from the data of TCGA were analyzed. A primary murine HCC model was established

Indexed as

combinationFAK inhibitor (VS4718)hepatocellular carcinomaPD1PD-L1

Identifiers

PMID35115949
PMCPMC8804348
OpenAlexW4206090391

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.