Evidence map›Paper›PMID 35401937›Full record

ArticleOncotarget2022

A novel group of genes that cause endocrine resistance in breast cancer identified by dynamic gene expression analysis.

Arvand Asghari, Katherine Wall, Michael Gill, Natascha Del Vecchio, Farnaz Allahbakhsh, Jacky Wu, Nan Deng, W Jim Zheng, Hulin Wu, Michihisa Umetani and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 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
0.8field-weighted citation impact, top 31% 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, 9 citations in OpenAlex.

  1. Prognostic and Clinical Significance of the Proliferation Marker MCM7 in Breast Cancer.Pathobiology : journal of immunopathology, molecular and cellular biology · 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

11 authors at 4 institutions in 1 country.

Arvand AsghariCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA.
Katherine WallDepartment of Biostatistics and Data Science, School of Public Health, UTHealth, Houston, TX 77030, USA.
Michael GillDepartment of Biostatistics and Data Science, School of Public Health, UTHealth, Houston, TX 77030, USA.
Natascha Del VecchioChicago Center for HIV Elimination, University of Chicago, Chicago, IL 60637, USA.
Farnaz AllahbakhshCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA.
Jacky WuCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA.
Nan DengClinical Cancer Prevention Department, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
W Jim ZhengSchool of Biomedical Informatics, UTHealth, Houston, TX 77030, USA.
Hulin WuDepartment of Biostatistics and Data Science, School of Public Health, UTHealth, Houston, TX 77030, USA.
Michihisa UmetaniCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA.
Vahed MaroufyDepartment of Biostatistics and Data Science, School of Public Health, UTHealth, Houston, TX 77030, USA.
The University of Texas Health Science Center at Houston · USUniversity of Houston · USThe University of Texas MD Anderson Cancer Center · USUniversity of Chicago · US

Funding

Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
Finding Combinatorial Drug Repositioning Therapy For Alzheimer'S Disease And Related DementiasR01AG066749 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JIANG, XIAOQIAN, ZHENG, WENJIN JIM · 2020 to 2024
$4.4M
Statistical Methods for ODE Models in AIDS ResearchR01AI087135 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WU, HULIN · 2010 to 2019
$3.2M
NCATS NIH HHS UL1 TR003167NIAID NIH HHS R01 AI087135NIA NIH HHS R01 AG066749
6 · The paper itself

Abstract

Breast cancer (BC) is the most common type of cancer diagnosed in women. Among female cancer deaths, BC is the second leading cause of death worldwide. For estrogen receptor-positive (ER-positive) breast cancers, endocrine therapy is an effective therapeutic approach. However, in many cases, an ER-positive tumor becomes unresponsive to endocrine therapy, and tumor regrowth occurs after treatment. While some genetic mutations contribute to resistance in some patients, the underlying causes of resistance to endocrine therapy are mostly undetermined. In this study, we utilized a recently developed statistical approach to investigate the dynamic behavior of gene expression during the development of endocrine resistance and identified a novel group of genes whose time course expression significantly change during cell modelling of endocrine resistant BC development. Expression of a subset of these genes was also differentially expressed in microarray analysis of endocrine-resistant and endocrine-sensitive tumor samples. Surprisingly, a subset of those genes was also differentially genes expressed in triple-negative breast cancer (TNBC) as compared with ER-positive BC. The findings suggest shared genetic mechanisms may underlie the development of endocrine resistant BC and TNBC. Our findings identify 34 novel genes for further study as potential therapeutic targets for treatment of endocrine-resistant BC and TNBC.

Indexed as

Breast NeoplasmsEndocrine Gland NeoplasmsTriple Negative Breast NeoplasmsDrug Resistance, NeoplasmFemaleGene ExpressionGene Expression Regulation, NeoplasticHumansReceptors, EstrogenReceptors, Estrogenbreast cancerendocrine resistancegene clusteringgene expression profilingtriple negative breast cancer

Identifiers

PMID35401937
PMCPMC8986262
OpenAlexW4226353331

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.