Prof. Young Hwan Chang Profile

Prof. Young Hwan Chang

Assistant Professor at Oregon Health & Science Univ.

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Publications (6)

Proceedings Article | 19 February 2020 Paper

Fluorescent imaging technologies for in situ measurement of drug target engagement and cell signaling pathways

Nathan McMahon, Allison Solanki, Jocelyn Jones, Sunjong Kwon, Young-Hwan Chang, Koei Chin, Michel Nederlof, Joe Gray, Summer Gibbs

Proceedings Volume 11219, 112190O (2020) https://doi.org/10.1117/12.2546320

KEYWORDS: Tissues, Tumors, Resistance, Cancer, Proteins, Imaging spectroscopy, Visualization, Oncology, Multiplexing

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Successful cancer treatment continues to elude modern medicine and its arsenal of therapeutic strategies. Therapy resistance is driven by significant tumor heterogeneity, complex interactions between malignant, microenvironmental and immune cells and cross talk between signaling pathways. Advances in molecular characterization technologies such as next generation sequencing have helped unravel this network of interactions and identify druggable therapeutic targets. Tyrosine kinase inhibitors (TKI) are a class of drugs seeking to inhibit signaling pathways critical to sustaining proliferative signaling, resisting cell death, and the other hallmarks of cancer. While tumors may initially respond to TKI therapy, disease progression is near universal due to mechanisms of acquired resistance largely involving cellular signaling pathway reprogramming. With the ultimate goal of improved TKI therapeutic efficacy our group has developed intracellular paired agent imaging (iPAI) to quantify drug target interactions and oligonucleotide conjugated antibody (Ab-oligo) cyclic immunofluorescence (cycIF) imaging to characterize perturbed signaling pathways in response to therapy. iPAI uses spectrally distinct, fluorescently labeled targeted and untargeted drug derivatives, correcting for non-specific drug distribution and facilitating quantitative assessment of the drug binding before and after therapy. Ab-oligo cycIF exploits in situ hybridization of complementary oligonucleotides for biomarker labeling while oligonucleotide modifications facilitate signal removal for sequential rounds of fluorescent tagging and imaging. Aboligo CycIF is capable of generating extreme multi-parametric images for quantifying total and phosphorylated protein expression to quantify protein activation, expression, and spatial distribution. Together iPAI and Ab-oligo cycIF can be applied to interrogate drug uptake and target binding as well as changes to heterogenous cell populations within tumors that drive variable therapeutic responses in patients.

SPIE Journal Paper | 18 February 2020

Predicting primary site of secondary liver cancer with a neural estimator of metastatic origin

Geoffrey Schau, Erik Burlingame, Guillaume Thibault, Tauangtham Anekpuritanang, Ying Wang, Joe Gray, Christopher Corless, Young Hwan Chang

JMI, Vol. 7, Issue 01, 012706, (February 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.1.012706

KEYWORDS: Tumor growth modeling, Tumors, Tissues, Liver cancer, Data modeling, Statistical modeling, Cancer, Liver, Performance modeling, Computing systems

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Proceedings Article | 15 March 2019 Presentation + Paper

Variational autoencoding tissue response to microenvironment perturbation

Geoffrey Schau, Guillaume Thibault, Mark Dane, Joe Gray, Laura Heiser, Young Hwan Chang

Proceedings Volume 10949, 109491M (2019) https://doi.org/10.1117/12.2512660

KEYWORDS: Visualization, Data modeling, Principal component analysis, Tissues, Visual process modeling, Statistical modeling, Computer programming, Statistical analysis, Biological research, Image segmentation

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Proceedings Article | 4 March 2019 Presentation + Paper

Signal removal methods for highly multiplexed immunofluorescent staining using antibody conjugated oligonucleotides

Nathan McMahon, Jocelyn Jones, Jennifer Eng, Sunjong Kwon, Young-Hwan Chang, Guillaume Thibault, Koei Chin, Michel Nederlof, Joe Gray, Summer Gibbs

Proceedings Volume 10881, 108810X (2019) https://doi.org/10.1117/12.2510573

KEYWORDS: Tissues, Multiplexing, Luminescence, Ultraviolet radiation, Cancer, Tumors, Tissue optics, Genomics, Bioalcohols, Microscopes

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Proceedings Article | 6 March 2018 Presentation + Paper

SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks

Erik Burlingame, Adam Margolin, Joe Gray, Young Hwan Chang

Proceedings Volume 10581, 1058105 (2018) https://doi.org/10.1117/12.2293249

KEYWORDS: Tissues, Multiplexing, Performance modeling, Tumors, Cancer, Data modeling, Visualization, Image segmentation, Proteins, Image processing

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Proceedings Article | 1 March 2017 Paper

Integrative analysis on histopathological image for identifying cellular heterogeneity

Young Hwan Chang, Guillaume Thibault, Brett Johnson, Adam Margolin, Joe Gray

Proceedings Volume 10140, 101400T (2017) https://doi.org/10.1117/12.2250428

KEYWORDS: Image processing, Image segmentation, Tissues, Image analysis, Tumors, Analytical research, Biological research, Statistical analysis, Medical imaging, Computer simulations

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Showing 5 of 6 publications

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