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Home NEWS Science News Cancer

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

Bioengineer by Bioengineer
June 8, 2022
in Cancer
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BUFFALO, NY- June 8, 2022 – A research paper was recently published in Oncotarget, entitled, “A novel group of genes that cause endocrine resistance in breast cancer identified by dynamic gene expression analysis.”

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

Credit: Oncotarget.com

BUFFALO, NY- June 8, 2022 – A research paper was recently published in Oncotarget, entitled, “A novel group of genes that cause endocrine resistance in breast cancer identified by dynamic gene expression analysis.”

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, ER-positive tumors become unresponsive to endocrine therapy, and tumor regrowth can occur after treatment. While some genetic mutations contribute to resistance in some patients, the underlying causes of resistance to endocrine therapy are mostly undetermined.

“Endocrine therapies have been successful at improving cancer outcomes; however, the development of endocrine resistance, or resistance to inhibition of ER actions, remains a roadblock in breast cancer treatment.”

In the current study, researchers from UTHealth Houston, University of Chicago, University of Texas MD Anderson Cancer Center, and the University of Houston explored the dynamic behavior of the entire gene population to identify novel genes that play fundamental roles in the development and progression of endocrine-resistant breast cancer.

“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.”

To better understand the process of acquiring endocrine resistance and its underlying gene expression patterns, the researchers applied their recently developed statistical pipeline to datasets from a public functional genomics repository. They found dynamically regulated genes active in the process of endocrine resistance development and progression. 

Their dynamic gene expression analysis identified 34 novel genes that significantly changed during cell modeling of endocrine-resistant breast cancer 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 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.”

DOI: https://doi.org/10.18632/oncotarget.28225 

Correspondence to: Michihisa Umetani and Vahed Maroufy – Email: [email protected] and [email protected] 

Read the Special Collection on Breast Cancer: https://www.oncotarget.com/collections/breast-cancer/

Keywords: breast cancer, triple negative breast cancer, gene expression profiling, endocrine resistance, gene clustering

About Oncotarget:

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

To learn more about Oncotarget, visit Oncotarget.com and connect with us on social media:

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For media inquiries, please contact: [email protected].

Oncotarget Journal Office
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Phone: 1-800-922-0957 (option 2)



Journal

Oncotarget

DOI

10.18632/oncotarget.28225

Method of Research

Computational simulation/modeling

Subject of Research

Cells

Article Title

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

Article Publication Date

6-Apr-2022

COI Statement

Authors have no conflicts of interest to declare.

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