Systemic diseases, such as
cancer, require thorough understanding not only of the
properties that malignant cells have acquired through
mutations but also the effects of the activity of these
cells on the dynamic microenvironment of the host’s
tissue. From this perspective, one can think of tumor
cells as being hosted by tumor endothelial cells within
the larger “ecosystem” of the human body (Kareva 2012, Transl Onc). And
just like in other ecosystems, the survival of tumor cells
depends both on the state of the entire ecosystem and on
the state of their immediate host. The focus of my
research lies in applying the insights obtained from
extensive studies of other ecosystems to the new
information continuously being reported in the field of
cancer biology, in order to structure and advance the
theoretical understanding of cancer as an evolving
Kareva I., Wilkie K. and P.
Hahnfeldt (2014). "The Power of the Tumor
Microenvironment: a Systemic Approach for a Systemic
Disease".Mathematical Oncology 2013. Eds. A.
d'Onofrio and A. Gandolfi. ISBN 978-1-4939-0457-0, to
appear October, 2014.
Ogurtsov A., Kareva I., Spiridonov T.,
and A. Kondrashov (2003) PostOWEN: Computational approach to the analysis of genomic alignments. Fourth
International Conference on Bioinformatics, Atlanta, Nov.
In preparation/under review:
Kareva I., Beheshti, A., L.
Hlatky and P. Hahnfeldt. "Cancer
Immunoediting: A Process Driven by Metabolic
Kareva I., Waxman, D.
and G. Klement. "Metronomic chemotherapy: an attractive
alternative to maximum tolerated dose therapy. Prevention
of therapeutic resistance and improved anti-tumor immunity".
Professional Development Workshops,
Internships and Conferences
9th European Conference on Mathematical and
Theoretical Biology (ECMTB2014),
June 15-19, 2014, Gothenburg, Sweden.
Talk: "Normal wound healing and tumor angiogenesis as a game of
Summer internship in the Moult
Lab at the Institute for Bioscience and Biotechnology
Research (IBBR) at the University of Maryland, College Park.
Worked on understanding mixed distributions that underlie data
on single nucleotide polymorphisms (SNPs) in different
Summer internship at the Laboratory of Integrative and
Medical Biophysics, National Center for Child Health and Human
Development, NIH. Analyzed images of human retina using ImageJ
software. PI: Dr. R. Bonnerhttp://2006annualreport.nichd.nih.gov/limb.htm
Laboratory assistant, Laboratory of Molecular
Pharmacology, National Cancer Institute, NIH. Prepared slides
for immunocytochemistry; cell culture, Western blotting, data
collection and statistical analysis.
PI: Dr. W. Bonnerhttp://www3.cancer.gov/intra/lmp/lmppage.htm
Summer internship at the Mathematical and Theoretical
Biology Institute (MTBI), ASU. Projects involved cancer-immune
system modeling, and neural modeling.
Director: Dr. C. Castillo-Chavezhttp://mtbi.asu.edu/
Summer internship at National Center for
Bioinformatics, NIH. Performed genome comparisons using online
databases and Owen software. PI: Dr. A. Kondrashov
Teaching Assistant for Introduction to Probability (aml294),
Teaching Assistant for Inorganic Chemistry Lab (chem132), UMD
American Association for Cancer
Research (AACR), since 2012
Society of Mathematical Biology (SMB),
corrected typos, suggestions for better phrasing are very