Evidence map›Paper›PMID 36579598›Full record

ReviewJournal of personalized medicine2022

Targeting KRAS in Pancreatic Cancer.

Darren Cowzer, Mohammed Zameer, Michael Conroy, Walter Kolch, Austin G Duffy

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.7field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Cancers · 2024
    Review
  12. Pancreatic cancer: new approaches to drug therapy.International journal of surgery (London, England) · 2024
    Review
  13. Article
  14. Review
  15. Targeting KRAS in pancreatic cancer.Oncology research · 2024
    Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article
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

5 authors at 2 institutions in 1 country.

Darren CowzerDepartment of Medical Oncology, Mater Misericordiae University Hospital, D07 R2WY Dublin, Ireland.ORCID 0000-0002-0969-3259
Mohammed ZameerDepartment of Medical Oncology, Mater Misericordiae University Hospital, D07 R2WY Dublin, Ireland.ORCID 0000-0001-6169-1675
Michael ConroyDepartment of Medical Oncology, Mater Misericordiae University Hospital, D07 R2WY Dublin, Ireland.ORCID 0000-0001-9048-5213
Walter KolchSystems Biology Ireland, School of Medicine, University College Dublin, Belfield, D04 E1W1 Dublin, Ireland.ORCID 0000-0001-5777-5016
Austin G DuffyDepartment of Medical Oncology, Mater Misericordiae University Hospital, D07 R2WY Dublin, Ireland.
Mater Misericordiae University Hospital · IEUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is mainly driven by mutations in the KRAS oncogene. While this cancer has shown remarkable therapy resistance, new approaches to inhibit mutated KRAS, KRAS activators and effectors show promise in breaking this therapeutic deadlock. Here, we review these innovations in therapies that target RAS signaling in pancreatic cancer from a clinical point of view. A number of promising approaches are currently in clinical trials or in clinical development. We focus on small-molecule drugs but also discuss immunotherapies and tumor vaccines.

Indexed as

KRASpancreas cancertargeted therapy

Identifiers

PMID36579598
PMCPMC9692903
OpenAlexW4308720347

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.