Statistics from the American Cancer Society indicate that endometrial cancer (EC) is on the rise among women in the United States. While it more commonly affects older women, researchers are finding that EC is the only gynecological cancer today increasing in incidence and mortality among younger women. Not to be confused with the benign condition of endometriosis, EC tumors are highly heterogeneous and are a challenge to diagnose and treat. Since these heterogeneous tumors also develop in differential growing environments, most studies that use EC cell lines to diagnose patients or develop treatments do not translate to efficacy in vivo.
“Current methodologies for diagnosis and treatment rely on the use of cell lines as models for tumor biology. However, due to inherent heterogeneity and differential growing environments between cell lines and tumors, these comparative studies have found little parallels in molecular signatures.”
In a new study, researchers from the Uniformed Services University of the Health Sciences and the National Institutes of Health compared signaling pathways and genes among EC cell lines and tumors in The Cancer Genome Atlas (TCGA). Their goal was to identify parallels between cell lines and tumors that may be associated with regulating EC transformation and progression. In December 2021, their research paper was published as the cover of Oncotarget’s Volume 12, Issue 26, and entitled, “Comparative transcriptome analysis between patient and endometrial cancer cell lines to determine common signaling pathways and markers linked to cancer progression”.
“Identifying mutually dysregulated biomarkers and signaling pathways in cell lines and tumors can advantageously provide a more expedient method for studying mechanisms in cancer biology.”
Full blog - https://www.impactjournals.com/journals/blog/oncotarget/new-study-biomarkers-linked-to-the-progression-of-endometrial-cancer/
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DOI - https://doi.org/10.18632/oncotarget.28161
Full text - https://www.oncotarget.com/article/28161/text/
Correspondence to - T. John Wu - twu@usuhs.edu
Keywords - endometrial cancer, cancer stage, comparative transcriptome analysis, signaling pathways, normalization
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