Study Points to Potential Lipid-related Expression Signature for Predicting Hormone Receptor Status in Breast Cancer | GenomeWeb

NEW YORK (GenomeWeb News) – Expression levels of several genes related to lipid or fat metabolism may help in predicting whether women at risk of breast cancer are more prone to forms of the disease that respond to estrogen or not, according to a study out today in Cancer Prevention Research.

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Through a transcriptome study, researchers home in on the activity of inflammation-linked genes in chronically lonely people.

Determining who is and is not an author and where a researcher should fall on a list of authors can be a tricky task, Nature News writes.

In PNAS this week: variant protective against Alzheimer's disease, effect of whole-genome duplication on methylation in rice, and more.

Genome editing is also bringing up questions when applied to farm animals, the New York Times reports.

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This online seminar will discuss a metagenomic assay to identify viruses and other pathogenic microorganisms in human tumor samples, with the aim of gaining a more comprehensive understanding of the role of the microbiome in cancer development and treatment.