Evidence map›Paper›PMID 35992327›Full record

ArticleCancer research communications2022

Race-associated molecular changes in gynecologic malignancies.

Amma Asare, Hui Yao, Olivia D Lara, Ying Wang, Lin Zhang, Anil K Sood

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. MicroRNAs and Cancer Racial Disparities.Wiley interdisciplinary reviews. RNA
    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

6 authors at 4 institutions in 1 country.

Amma AsareDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, USA.
Hui YaoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Olivia D LaraDepartment of Obstetrics and Gynecology, NYU Langone Health, New York, NY 10016, USA.
Ying WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lin ZhangDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Anil K SoodCenter for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USNYU Langone Health · USUniversity of Pennsylvania · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
U.T. M. D. Anderson Cancer Center SPORE in Ovarian CancerP50CA217685 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2021
$7.9M
Harnessing the power of exosomes for non-coding RNA deliveryR35CA209904 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2023
$5.0M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA098258NCI NIH HHS P50 CA217685NCI NIH HHS R35 CA209904
6 · The paper itself

Abstract

The difference in cancer morbidity and mortality between individuals of different racial groups is complex. Health disparities provide a framework to explore potential connections between poor outcomes and individuals of different racial backgrounds. This study identifies genomic changes in African-American patients with gynecologic malignancies, a population with well-established disparities in outcomes. Our data explore whether social health disparities might mediate interactions between the environment and tumor epigenomes and genomes that can be identified. Using The Cancer Genetic Ancestry Atlas, which encodes data from The Cancer Genome Atlas by ancestry and allows for systematic analyses of sequencing data by racial group, we performed large-scale, comparative analyses to identify novel targets with alterations in methylation, transcript, and microRNA expression between tumors from women of European American or African American racial groups across all gynecologic malignancies. We identify novel discrete genomic changes in these complex malignancies and suggest a framework for identifying novel therapeutic targets for future investigation.

Indexed as

Genital Neoplasms, FemaleBlack or African AmericanFemaleGenomicsHumansRacial GroupsWhitebreast cancercancer genomicscervical cancergynecologic cancerovarian cancerRacial disparitiesuterine cancer

Identifiers

PMID35992327
PMCPMC9390975
OpenAlexW4212850922

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.