Evidence map›Paper›PMID 35812049›Full record

ArticleAmerican journal of cancer research2022

Combined inhibition of FGFR4 and VEGFR signaling enhances efficacy in FGF19 driven hepatocellular carcinoma.

Xuesong Zhao, Jaya Julie Joshi, Daniel Aird, Craig Karr, Kun Yu, Chialing Huang, Federico Colombo, Milena Virrankoski, Sudeep Prajapati, Anand Selvaraj

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. [Expert consensus for clinical application of molecular diagnosis on hepatobiliary tumors (2024 edition)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Article
  6. 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

10 authors at 1 institution in 1 country.

Xuesong ZhaoDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Jaya Julie JoshiDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Daniel AirdDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Craig KarrDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Kun YuDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Chialing HuangDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Federico ColomboDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Milena VirrankoskiDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Sudeep PrajapatiDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Anand SelvarajDepartment of Discovery, H3 Biomedicine Inc. Cambridge, MA 02139, USA.
Institute for Biomedicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is an aggressive liver malignancy that is difficult to treat with no approved biomarker based targeted therapies. FGF19-FGFR4 signaling blockade has been recently identified as a promising avenue for treatment of a subset of HCC patients. Using HCC relevant xenograft and PDX models, we show that Lenvatinib, an approved multi-kinase inhibitor, strongly enhanced the efficacy of FGFR4 inhibitor H3B-6527. This enhanced combination effect is not due to enhanced FGFR4 inhibition and it is likely due to cell non-autonomous VEGFR activity of Lenvatinib. This cell non-autonomous mode of action was further supported by strong

Indexed as

FGF19FGFR4H3B-6527HCCLenvatinibVEGFR

Identifiers

PMID35812049
PMCPMC9251677
OpenAlexW4285031781

What OpenQuestion holds

Textmetadata
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.