Evidence map›Paper›PMID 35565312›Full record

ArticleCancers2022

Transcriptomic Profiling of Gene Expression Associated with Granulosa Cell Tumor Development in a Mouse Model.

Nan Ni, Xin Fang, Destiny A Mullens, James J Cai, Ivan Ivanov, Laurent Bartholin, Qinglei Li

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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  4. Loss ofInternational journal of molecular sciences · 2022
    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

7 authors at 2 institutions in 2 countries.

Nan NiDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA.
Xin FangDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA.
Destiny A MullensDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-7379-6386
James J CaiDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA.
Ivan IvanovDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, USA.
Laurent BartholinINSERM U1052, CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Université Lyon 1, F-69000 Lyon, France.
Qinglei LiDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA.
Texas A&M University · USUniversité Claude Bernard Lyon 1 · FR

Funding

Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Sakhila Banu · 2019 to 2026
$13.0M
A novel mouse model of testicular granulosa cell tumorsR03CA235001 · NCI · TEXAS A&M AGRILIFE RESEARCH · PI LI, QINGLEI · 2020 to 2021
$146k
Characterization of a novel mouse model with enhanced TGF-Beta signaling in the ovaryR03HD082416 · NICHD · TEXAS A&M AGRILIFE RESEARCH · PI LI, QINGLEI · 2015 to 2016
$141k
Eunice Kennedy Shriver National Institute of Child Health and Human Development R03HD082416NCI NIH HHS R03 CA235001NCI NIH HHS R03CA235001NICHD NIH HHS R03 HD082416NIEHS NIH HHS P30 ES029067
6 · The paper itself

Abstract

Ovarian granulosa cell tumors (GCTs) are rare sex cord-stromal tumors, accounting for ~5% ovarian tumors. The etiology of GCTs remains poorly defined. Genetically engineered mouse models are potentially valuable for understanding the pathogenesis of GCTs. Mice harboring constitutively active TGFβ signaling (TGFBR1-CA) develop ovarian GCTs that phenocopy several hormonal and molecular characteristics of human GCTs. To determine molecular alterations in the ovary upon TGFβ signaling activation, we performed transcriptomic profiling of gene expression associated with GCT development using ovaries from 1-month-old TGFBR1-CA mice and age-matched controls. RNA-sequencing and bioinformatics analysis coupled with the validation of select target genes revealed dysregulations of multiple cellular events and signaling molecules/pathways. The differentially expressed genes are enriched not only for known GCT-related pathways and tumorigenic events but also for signaling events potentially mediated by neuroactive ligand-receptor interaction, relaxin signaling, insulin signaling, and complements in TGFBR1-CA ovaries. Additionally, a comparative analysis of our data in mice with genes dysregulated in human GCTs or granulosa cells overexpressing a mutant FOXL2, the genetic hallmark of adult GCTs, identified some common genes altered in both conditions. In summary, this study has revealed the molecular signature of ovarian GCTs in a mouse model that harbors the constitutive activation of TGFBR1. The findings may be further exploited to understand the pathogenesis of a class of poorly defined ovarian tumors.

Indexed as

gene ontologygranulosa cell tumorssignaling pathwaysTGFBR1

Identifiers

PMID35565312
PMCPMC9105549
OpenAlexW4280612148

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.