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Link between inflammation and pancreatic cancer development uncovered

Study defines small-cell lung cancer subtypes and distinct therapeutic vulnerabilities for each type


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IMAGE: Researchers from The University of Texas MD Anderson Cancer Center have developed the first comprehensive framework to classify small-cell lung cancer (SCLC) into four unique subtypes, based on gene expression,.
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Credit: MD Anderson Cancer Center
HOUSTON Researchers from The University of Texas MD Anderson Cancer Center have developed the first comprehensive framework to classify small-cell lung cancer (SCLC) into four unique subtypes, based on gene expression, and have identified potential therapeutic targets for each type in a study published today in
Cancer Cell.
SCLC is known for rapid, aggressive growth and resistance to treatment, which leads to poor outcomes. While recent advances in immunotherapy and targeted therapy have improved survival for non-small cell lung cancer (NSCLC), progress for SCLC has been limited. ....

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New computational tool reliably differentiates between cancer and normal cells from single-cell RNA-sequencing data


Credit: MD Anderson Cancer Center
HOUSTON In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from The University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples. The work was published today in
Nature Biotechnology.
The new tool, dubbed CopyKAT (copy number karyotyping of aneuploid tumors), allows researchers to more easily examine the complex data obtained from large single-cell RNA-sequencing experiments, which deliver gene expression data from many thousands of individual cells.
CopyKAT uses that gene expression data to look for aneuploidy, or the presence of abnormal chromosome numbers, which is common in most cancers, said study senior author Nicholas Navin, Ph.D., associate professor of Genetics and Bioinformatics & Computational Biology. The tool ....

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