Evidence map›Paper›PMID 37711590›Full record

ArticleExploration of targeted anti-tumor therapy2023

Zahra Azhar, Richard P Grose, Afsheen Raza, Zohaib Raza

Abstract read
In one paragraph

Article in Exploration of targeted anti-tumor therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Design and Synthesis of Pyridine-Based Pyrrolo[2,3-Pharmaceuticals (Basel, Switzerland) · 2025
    Article
  4. Article
  5. 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

4 authors.

Zahra AzharCentre of Tumour Biology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ London, UK.ORCID https://orcid.org/0000-0001-8152-5586
Richard P GroseCentre of Tumour Biology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ London, UK.ORCID https://orcid.org/0000-0002-4738-0173
Afsheen RazaDepartment of Biomedical Sciences, College of Health Sciences, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates.ORCID https://orcid.org/0000-0002-8462-2880
Zohaib RazaDepartment of Chemistry, The University of Adelaide, 5005 Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0001-7789-4530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Delineate structure-based inhibition of colony-stimulating factor-1 receptor (CSF1R) by small molecule CSF1R inhibitors in clinical development for target identification and potential lead optimization in cancer therapeutics since CSF1R is a novel predictive biomarker for immunotherapy in cancer. Methods: Compounds were Results: All 7 CSF1R inhibitors interact with residue Met637 exhibiting selectivity except for edicotinib. The inhibitors maintain CSF1R in an auto-inhibitory conformation by interacting with Asp797 of the Asp-Phe-Gly (DFG) motif and/or hindering the conserved salt bridge formed between Glu633 and Lys616 thus stabilizing the activation loop, or interacting with tryptophan residue (Trp550) in the juxtamembrane domain. DCC-3014, ARRY-382, BLZ-945, and sorafenib bind with the lowest binding energy with CSF1R kinase. Conclusions: Pyrimidines are potent inhibitors that interact with CSF1R residues. DCC-3014 and ARRY-382 exhibit exceptional pharmaceutical potential exhibiting great structural stability and affinity.

Indexed as

Cancer drug developmentcomputational modellingdrug resistancelead optimizationmolecular dockingtargeted cancer therapytarget identificationtyrosine kinase inhibitors

Identifiers

PMID37711590
PMCPMC10497393

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.