Evidence map›Paper›PMID 35562768›Full record

ArticleJournal of ovarian research2022

Lifetime ovulatory years and ovarian cancer gene expression profiles.

Naoko Sasamoto, Paul A Stewart, Tianyi Wang, Sean J Yoder, Srikumar Chellappan, Jonathan L Hecht, Brooke L Fridley, Kathryn L Terry, Shelley S Tworoger

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Naoko SasamotoDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA. nsasamoto@bwh.harvard.edu.
Paul A StewartDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Tianyi WangDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Sean J YoderMolecular Genomics Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Srikumar ChellappanDepartment of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Jonathan L HechtDepartment of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Brooke L FridleyDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Kathryn L TerryDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA, 02115, USA.
Shelley S TworogerDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Moffitt Cancer Center · USBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USHarvard University · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
NCI NIH HHS P01 CA087969NIH HHS P01 CA87969
6 · The paper itself

Abstract

backgroundGreater ovulatory years is associated with increased ovarian cancer risk. Although ovulation leads to an acute pro-inflammatory local environment, how long-term exposure to ovulation impacts ovarian carcinogenesis is not fully understood. Thus, we examined the association between gene expression profiles of ovarian tumors and lifetime ovulatory years to enhance understanding of associated biological pathways.

methodsRNA sequencing data was generated on 234 invasive ovarian cancer tumors that were high-grade serous, poorly differentiated, or high-grade endometrioid from the Nurses' Health Study (NHS), NHSII, and the New England Case Control Study. We used linear regression to identify differentially expressed genes by estimated ovulatory years, adjusted for birth decade and cohort, overall and stratified by menopausal status at diagnosis. We used false discovery rates (FDR) to account for multiple testing. Gene set enrichment analysis (GSEA) with Cancer Hallmarks, KEGG, and Reactome databases was used to identify biological pathways associated with ovulatory years.

resultsNo individual genes were significantly differentially expressed by ovulatory years (FDR > 0.19). However, GSEA identified several pathways that were significantly associated with ovulatory years, including downregulation of pathways related to inflammation and proliferation (FDR < 1.0 × 10

conclusionsOur results provide novel insight into the biological pathways that link ovulatory years to ovarian carcinogenesis, which may lead to development of targeted prevention strategies for ovarian cancer.

Indexed as

Ovarian NeoplasmsTranscriptomeCarcinogenesisCarcinoma, Ovarian EpithelialCase-Control StudiesFemaleHumansCarcinogenesisGene expressionOvarian cancer tumorOvulatory yearsRNA sequencing

Identifiers

PMID35562768
PMCPMC9102743
OpenAlexW4280541423

What OpenQuestion holds

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LicenceCC BY
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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.