Evidence map›Paper›PMID 28210148›Full record

ReviewLung Cancer (Auckland, N.Z.)2015

AXL receptor tyrosine kinase as a therapeutic target in NSCLC.

Ross A Okimoto, Trever G Bivona

Open access · goldAbstract readReview
In one paragraph

Review in Lung Cancer (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Therapeutic advances of targeting receptor tyrosine kinases in cancer.Signal transduction and targeted therapy · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Blocking antibody-mediated phosphatidylserine enhances cancer immunotherapy.Journal of cancer research and clinical oncology · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Targeting AXL in NSCLC.Lung Cancer (Auckland, N.Z.) · 2021
    Review
  17. Review
  18. Review
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

Ross A OkimotoDivision of Hematology and Medical Oncology, University of California San Francisco, San Francisco, CA, USA.
Trever G BivonaDivision of Hematology and Medical Oncology, University of California San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

Rational Combined Inhibition of NF-kB and EGFR to Optimize Lung Cancer TreatmentR01CA169338 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIVONA, TREVER G · 2013 to 2023
$3.4M
NCI NIH HHS R01 CA169338
6 · The paper itself

Abstract

The AXL receptor tyrosine kinase and its ligand, Gas6, regulate key processes in lung cancer growth, metastasis, and epithelial-mesenchymal transition-associated drug resistance. Gas6 and AXL expression have been correlated with poor prognosis and advanced clinical stage in patients with lung cancer, and targeting the Gas6/AXL pathway demonstrates antitumor activity, decreases cellular invasion, and restores sensitivity in de novo and acquired drug resistance models. These findings implicate AXL as a promising therapeutic target in lung cancer. In this review, we explore the role of AXL in lung cancer progression, from tumor development to disseminated disease, and highlight the current clinical landscape of anti-AXL therapeutics.

Indexed as

drug resistanceGas6lung cancertargeted therapy

Identifiers

PMID28210148
PMCPMC5217513
OpenAlexW1591072176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.