Evidence map›Paper›PMID 37173951›Full record

ReviewCancers2023

The Role of STATs in Ovarian Cancer: Exploring Their Potential for Therapy.

David Standing, Emma Feess, Satvik Kodiyalam, Michael Kuehn, Zachary Hamel, Jaimie Johnson, Sufi Mary Thomas, Shrikant Anant

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Role of STAT3 in pancreatic cancer.Exploration of targeted anti-tumor therapy · 2024
    Review
  13. Review
  14. 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 2 institutions in 1 country.

David StandingDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.
Emma FeessDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.ORCID 0009-0004-1201-1900
Satvik KodiyalamDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.ORCID 0009-0008-1387-6286
Michael KuehnDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.ORCID 0009-0001-0113-4874
Zachary HamelDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.
Jaimie JohnsonDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.
Sufi Mary ThomasDepartment of Otolaryngology, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Shrikant AnantDepartment of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66103, USA.ORCID 0000-0003-4193-3053
The University of Kansas Cancer Center · USUniversity of Kansas Medical Center · US

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
NCI NIH HHS P30 CA168524
6 · The paper itself

Abstract

Ovarian cancer (OvCa) is a deadly gynecologic malignancy that presents many clinical challenges due to late-stage diagnoses and the development of acquired resistance to standard-of-care treatment protocols. There is an increasing body of evidence suggesting that STATs may play a critical role in OvCa progression, resistance, and disease recurrence, and thus we sought to compile a comprehensive review to summarize the current state of knowledge on the topic. We have examined peer reviewed literature to delineate the role of STATs in both cancer cells and cells within the tumor microenvironment. In addition to summarizing the current knowledge of STAT biology in OvCa, we have also examined the capacity of small molecule inhibitor development to target specific STATs and progress toward clinical applications. From our research, the best studied and targeted factors are STAT3 and STAT5, which has resulted in the development of several inhibitors that are under current evaluation in clinical trials. There remain gaps in understanding the role of STAT1, STAT2, STAT4, and STAT6, due to limited reports in the current literature; as such, further studies to establish their implications in OvCa are necessitated. Moreover, due to the deficiency in our understanding of these STATs, selective inhibitors also remain elusive, and therefore present opportunities for discovery.

Indexed as

immune cellisoformssignalingSTATtargeted therapy

Identifiers

PMID37173951
PMCPMC10177275
OpenAlexW4367294574

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.