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Biology subjects

Andrews, P. A.

Publications and source records attributed to Andrews, P. A..

2 recordsLinked to original sources

Patient-derived triple negative breast cancer organoids provide robust model systems that recapitulate tumor intrinsic characteristics

Triple negative breast cancer (TNBC) is an aggressive form of breast cancer with poor patient outcomes, and an unmet clinical need for targeted therapies and better model systems. Here, we developed and comprehensively characterized a diverse biobank of normal and breast cancer patient-derived organoids (PDOs) with a focus on TNBCs. PDOs recapitulated patient tumor intrinsic properties and a subset of PDOs can be propagated for long-term culture (LT-TNBCs). Single cell profiling of PDOs identified cell types and gene candidates affiliated with different aspects of cancer progression. The LT-TNBC organoids exhibit signatures of aggressive MYC-driven basal-like breast cancers and are largely comprised of luminal progenitor (LP)-like cells. The TNBC LP-like cells are distinct from normal LPs and exhibit hyperactivation of NOTCH and MYC signaling. Overall, our study validates TNBC PDOs as robust models for understanding breast cancer biology and progression, paving the way for personalized medicine and tailored treatment options. Statement of SignificanceA comprehensive analysis of TNBC patient-derived organoids is presented by genomic, transcriptomic, and in-vivo analyses, providing insights into cellular heterogeneity and mechanisms of tumorigenesis at the single cell level.

cancer biology↗

G-Graph: An interactive genomic graph viewer

MotivationEffective and efficient exploration of numeric data and annotations as a function of genomic position requires specialized software. ResultsWe present G-Graph, an interactive genomic scatter plot viewer. G-Graph stacks or tiles multiple data series in one graph using different colors and markers. It displays gene annotation and other metadata, allows easy changes to the appearance of data series, implements stack-based undo functionality, and saves user-selected application views as image and pdf files. G-Graph delivers smooth and rapid scrolling and zooming even for datasets with millions of points and line segments. The primary target user is a researcher examining many copy number profiles to identify potentially deleterious variants. G-Graph runs under Linux, Mac OSX and Windows. Availabilityhttps://github.com/docpaa/mumdex/ or https://mumdex.com/ggraph/ Contactandrewsp@cshl.edu (or paa@drpa.us)

genomics↗