Evidence map›Paper›PMID 32961868›Full record

ArticleCancers2020

Signal Transduction Pathway Activity in High-Grade, Serous Ovarian Carcinoma Reveals a More Favorable Prognosis in Tumors with Low PI3K and High NF-κB Pathway Activity: A Novel Approach to a Long-Standing Enigma.

Laura van Lieshout, Anja van de Stolpe, Phyllis van der Ploeg, David Bowtell, Joanne de Hullu, Jurgen Piek

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The senescence-associated secretory phenotype in ovarian cancer dissemination.American journal of physiology. Cell physiology · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. 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

6 authors at 3 institutions in 2 countries.

Laura van LieshoutDepartment of Obstetrics and Gynecology, Catharina Cancer Institute, Catharina Hospital, 5602ZA Eindhoven, The Netherlands.
Anja van de StolpePrecision Diagnostics, Philips Research, 5656AE Eindhoven, The Netherlands.
Phyllis van der PloegDepartment of Obstetrics and Gynecology, Catharina Cancer Institute, Catharina Hospital, 5602ZA Eindhoven, The Netherlands.
David BowtellPeter MacCallum Cancer Centre, 305 Grattan Street, Melbourne 3000, Australia.
Joanne de HulluRadboud Institute for Health Sciences, Department of Obstetrics and Gynecology, Radboud University Medical Center, 6500HB Nijmegen, The Netherlands.
Jurgen PiekDepartment of Obstetrics and Gynecology, Catharina Cancer Institute, Catharina Hospital, 5602ZA Eindhoven, The Netherlands.ORCID 0000-0002-0487-0631
Radboud University Nijmegen · NLNXP (Netherlands) · NLPeter MacCallum Cancer Centre · AU

Funding

Cancer Institute NSW 15/RIG/1-16Cancer Institute NSW ID 12/RIG/1-17Medical Research and Materiel Command DAMD17-01-1-0729National Health and Medical Research Council ID199600National Health and Medical Research Council ID 310670National Health and Medical Research Council ID400281National Health and Medical Research Council ID400413National Health and Medical Research Council ID 628903
6 · The paper itself

Abstract

We investigated signal transduction pathway (STP) activity in high-grade serous ovarian carcinoma (HGSC) in relation to progression-free survival (PFS) and overall survival (OS). We made use of signal transduction pathway activity analysis (STA analysis), a novel method to quantify functional STP activity. Activity of the following pathways was measured: androgen receptor (AR), estrogen receptor (ER), phosphoinositide 3-kinase (PI3K), Hedgehog (Hh), Notch, nuclear factor-kappa B (NF-κB), transforming growth factor beta (TGF-β), and Wnt. We selected HGSC samples from publicly available datasets of ovarian cancer tissue, and used repeated

Indexed as

cluster analysisepithelial ovarian cancerhigh-grade serous ovarian cancerprogression-free survivalsignal transduction pathways

Identifiers

PMID32961868
PMCPMC7564278
OpenAlexW3087475761

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.