Evidence map›Paper›PMID 37452087›Full record

ArticleScientific reports2023

Gain-of-function p53

Jacob Haagsma, Bart Kolendowski, Adrian Buensuceso, Yudith Ramos Valdes, Gabriel E DiMattia, Trevor G Shepherd

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Loss ofOncotarget · 2025
    Article
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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 1 institution in 1 country.

Jacob HaagsmaThe Mary and John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON, Canada.
Bart KolendowskiThe Mary and John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON, Canada.
Adrian BuensucesoThe Mary and John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON, Canada.
Yudith Ramos ValdesThe Mary and John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON, Canada.
Gabriel E DiMattiaThe Mary and John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON, Canada.
Trevor G ShepherdThe Mary and John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON, Canada. tshephe6@uwo.ca.
Western University · CA

Funding

CIHR 175060
6 · The paper itself

Abstract

Ovarian high-grade serous carcinoma (HGSC) is a highly lethal malignancy for which early detection is a challenge and treatment of late-stage disease is ineffective. HGSC initiation involves exfoliation of fallopian tube epithelial (FTE) cells which form multicellular clusters called spheroids that colonize and invade the ovary. HGSC contains universal mutation of the tumour suppressor gene TP53. However, not all TP53 mutations are the same, as specific p53 missense mutants contain gain-of-function (GOF) properties that drive tumour formation. Additionally, the role of GOF p53 in spheroid-mediated spread is poorly understood. In this study, we developed and characterized an in vitro model of HGSC based on mutation of TP53 in mouse oviductal epithelial cells (OVE). We discovered increased bulk spheroid survival and increased anchorage-independent growth in OVE cells expressing the missense mutant p53

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsAnimalsFemaleGain of Function MutationHumansMiceTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID37452087
PMCPMC10349050
OpenAlexW4384401131

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.