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    A variety of factors influence a patient’s clinical outcome, including intrinsic characteristics of the patient, disease, or medical condition, and the effects of any treatments that the patient receives. Some of the intrinsic characteristics may be reflected as prognostic biomarkers, i.e., biomarkers used to identify likelihood of a clinical event, disease recurrence or progression in patients who have the disease or medical condition of interest, and others as predictive biomarkers, i.e., biomarkers used to identify individuals who are more likely than similar individuals without the biomarker to experience a favorable or unfavorable effect from exposure to a medical product or an environmental agent. Prognostic biomarkers and predictive biomarkers cannot generally be distinguished when only patients who have received a particular therapy are studied. Some biomarkers are both prognostic and predictive. Prognostic biomarkers are often identified from observational data and are regular

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    • Highlighting the importance of distinguishing prognostic versus predictive scores/biomarkers https://t.co/kfRDGVtNBM https://t.co/KY0QDmAtXY https://t.co/r3NCYnERu9

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    GEO Accession viewer - 2 month(s) ago

    NCBI’s Gene Expression Omnibus (GEO) is a public archive and resource for gene expression data.

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    • Huge thank you to @mvicaracal for all her support and guidance during the peer review process. The spatial data contained in this paper is available for download at https://t.co/1OYU9luaKU We hope you enjoy the paper & the data will be useful for future research studies.