Identification of gene networks involved in uterine cancer could lead to better treatment options

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Researchers at Clemson University, Allison Hickman and Alex Feltus, have identified 11 high-priority genes associated with uterine cancer. Credit: 123RD.com

There is no single gene that causes uterine cancer, the fourth most common cancer among women increasing in the United States

Therefore, the study of Allison Hickman, a geneticist at Clemson University, gene Being involved Uterine cancer It has the potential to be a potential target for more effective medications.

The American Cancer Society estimates that nearly 66,000 women in the United States receive the uterus. cancer I will diagnose this year. In 2022, more than 12,500 women will die of the disease.

Data from publicly available genome databases, math-based distribution algorithms, and knowledge independence developed by her professor Alex Feltus in collaboration with Clemson graduate and current Washington State University assistant professor Stephen Ficklin. Using Network Building (KINC) software, Hickman built condition-specific biomarkers in two subtypes of systems: normal uterine tissue and uterine cancer —Endometrial cancer, The most common type, uterine cancer sarcoma is more rare, aggressive and fatal.

These systems provide a more comprehensive study of the biological networks and pathways affected by uterine cancer than the single-gene analysis performed in previous studies.

“We’re looking for patterns. This study was able to distinguish genes that have different relationships between uterine cancer and normal uterine tissue,” said Hickman, Ph.D. .. In genetics from Clemson in December. “The ultimate goal is to get a better understanding of what is happening biologically. Cell level These cancers may lead to better treatment in the future. “

There are no genes that determine whether a person develops cancer. Rather, it is a complex system of genes.

Hickman’s study found 11 high-priority genes associated with uterine cancer. These genes are potential targets for drug therapy.

“If you know what’s broken, you can fix it,” said Fertus, a professor of genetics and biochemistry in the Faculty of Science. “We now have the power to look at the entire system, find broken parts and start fixing them, for the first time in the history of science.”

“It’s not about finding a silver bullet for one gene,” Fertus continued. “It’s about finding a cocktail in terms of treating a set of genes.”

Feltus used a spider web as an analogy. If you want to get rid of a spider web, you can cut out one of the cobwebs, but it rarely disappears. However, if you hit enough points on the spider web, the spider web will collapse.

The work of Hickman and other researchers in the field is important because scientists can see if approved treatments for other types of cancer target the same “broken gene.” ..

“Ultimately, this is the true Holy Grail. If you know that a patient’s uterine cancer has x broken genes, then those with a small amount of drug that targets all of those broken genes at the same time. You can regulate the genes in one giant poisonous nuclear bomb, like many of the anti-cancer drugs we have now, “Fertus said.

“100 years later, with the advent of drugs that interact with most genes, we will be able to design cocktails based on the genetic profile of the tumor,” he said.

Hickman first collected genomic information data from two online public databases. Cancer Genome Atlas and National Institutes of Health Genotype-Tissue Expression (GTEx) project. She used a Gaussian mixed model to build a state-specific gene co-expression network for endometrial cancer, uterine carcinosarcoma, and normal uterine tissue.She then incorporated Uterus Investigation of regulatory edges and potential joint regulatory relationships.

According to Hickman, this approach allows the analysis of genes involved in multiple biological processes, and therefore has multiple expression patterns.

Article published in G3-Genes Genomes Genetics The title, “Identifying a State-Specific Biomarker System in Uterine Cancer,” describes Hickman’s work. The other authors of this paper are Yuqing Hang and Rini Pauly.


Researchers identify genetic teams that work in subregions of the brain


For more information:
Allison R Hickman et al, Identification of State-Specific Biomarker Systems in Uterine Cancer, G3 Gene | Genome | Genetics (2021). DOI: 10.1093 / g3journal / jkab392

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Clemson University

Quote: Better treatment options obtained on January 28, 2022 from https: //medicalxpress.com/news/2022-01-identification-gene-networks-involved-uterine to identify gene networks involved in uterine cancer. It may lead to (January 28, 2022). html

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