Kin-hoe Chow, Ph.D.

Postdoctoral Fellow

Bar Harbor, ME

Studying the role of a tumor-related gene in glioblastoma vasculature.

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About Kin-hoe Chow, Ph.D.

My research focuses on understanding the disease etiology of brain cancers. Specifically, I am studying the role of a tumor invasion and metastasis related gene, S100a4, in driving the development and maintenance of tumor vasculature in glioblastoma. Upon surveying patient-derived glioma tumor tissue arrays, I have observed that glioma cells in the vicinity of tumor vasculature frequently express high level of S100a4, suggesting a vasculature related role of S100a4 in glioma tumorigenesis. Using mouse glioma allograft model, I found that depletion of S100a4 resulted in drastic reduction of tumor size and volume, as well as tumor vasculature. Using a mouse model, tumor allografts and xenografts, as well as various in vitro assays performed using patient-derived glioma stem cell cultures, I am currently dissecting the molecular mechanism of S100a4 in mediating the development/maintenance of tumor vasculature.

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Grants, awards and accomplishments

Maine Cancer Foundation Pilot Grant, Assessing Therapeutic Potential of a New Drug ICG-001 in Glioblastoma. 2013-2014 ($50,000)

American Heart Association Predoctoral Fellowship, 2006-2008 ($43,000/2yrs)

Poster Award, Annual Bioscience Symposium and Don Summers Memorial Lecture, University of Utah 2007

F1000 Prime nomination as top article in biology and medicine of the publication: Courcelle J, Donaldson JR, Chow KH & Courcelle CT (2003) DNA damage-induced replication fork regression and processing in Escherichia coli. Science 299: 1064-1067. http://f1000.com/prime/1011878

Research Assistant of the Year, Master Level, Mississippi State University 2004

Certificate of Academic Achievement from The Holmes Cultural Diversity Center, Mississippi State University, 2001-2002

Mississippi State University – INTI College Malaysia Achievement Scholarship 2000-2002

Press ReleaseApril 23, 2018
The role of extra DNA in cancer evolution and therapy resistance
New research is providing a better understanding of the processes underlying cell-to-cell differences within glioblastoma tumors — a crucial finding because these differences contribute to therapy resistance.
- Cancer/Tumors
- Cancer
Research HighlightApril 10, 2018
Cancer research: Beyond the Petri dish
The latest developments in cancer research and their translation to oncology practice offer truly exciting potential for better therapies in the near future.
Press ReleaseApril 05, 2018
PDX Finder — Free global portal for cancer models
First global online catalog of Patient-Derived Xenograft models helps cancer researchers save valuable time.
Research HighlightApril 03, 2018
Calling all structural variants
Structural variants, or SVs, are large DNA sequences that are inserted, inverted, deleted or duplicated within genomes. Finding SVs with short-read seq and analysis methods is difficult, but a new SV identification tool, FusorSV, sets a gold standard for SV detection and analysis.
- Genetic Tools
- Genetics and Genomics

Tech CornerApril 10, 2018
Cancer and its immune environment bioprinted and reproduced live and in 3D
New 3D bioprinting technique creates a platform for precision immunotherapy study.
Tech CornerApril 05, 2018
Finding the signal in the noise
GeneWeaver is a powerful web-based software system that combines a genomics data repository with powerful analysis tools.
- Genetic Tools
- Genetics and Genomics
Press ReleaseApril 05, 2018
DNA sequence alterations linked to type 2 diabetes genes and mechanisms
Michael Stitzel, Ph.D., a Jackson Laboratory assistant professor, is the senior author of a paper in the American Journal of Human Genetics identifying new genetic clues to type 2 diabetes mechanisms.
Press ReleaseMarch 28, 2018
Exploring the gene-diet connection in Alzheimer's disease
The Alzheimer’s Association has awarded a three-year research fellowship to Amy Dunn, Ph.D., a postdoctoral associate in the Kaczorowski lab, for her studies of how genetics and diet interact to determine risk for Alzheimer’s disease.