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Konstantopoulos’ group works to elucidate how vascular and tissue microenvironments regulate the dissemination of cancerous cells from a primary tumor to distant organs throughout the body during the process of metastasis. The ultimate goal of his work is to develop novel diagnostic and prognostic tools to predict the likely course of cancer progression and patient outcomes, as well as to design therapeutic strategies to combat cancer metastasis using a directed multi-disciplinary approach.
Konstantopoulos’ research is unique and at the forefront of innovation because it integrates novel bioengineering tools with quantitative biophysical models and cutting-edge biochemistry and molecular cell biology techniques for both basic science and translational research. To date, he has pioneered the identification and biophysical characterization of novel adhesion molecules preferentially expressed by tumor cells which facilitate their metastatic dissemination in the body. He also discovered a new mechanism—osmotic engine model—which is employed by tumor cells during their metastatic spread. These basic science discoveries have shed light into previously unknown mechanisms utilized by tumor cells during metastasis and open new avenues to combat this deadly disease.
From a translational perspective, the Konstantopoulos lab has developed a Microfluidic Invasion Network Device (MIND) for diagnosis, prognosis, and precision care of cancer patients. Because of the current inability to accurately predict the metastatic potential of primary tumors, some patients may be overtreated while others receive inadequate treatment. MIND has the potential to be used as a companion assay for clinical prediction of metastasis and selection of effective, individualized therapeutic regimens.
Konstantopoulos’ research is unique and at the forefront of innovation because it integrates novel bioengineering tools with quantitative biophysical models and cutting-edge biochemistry and molecular cell biology techniques for both basic science and translational research. To date, he has pioneered the identification and biophysical characterization of novel adhesion molecules preferentially expressed by tumor cells which facilitate their metastatic dissemination in the body. He also discovered a new mechanism—osmotic engine model—which is employed by tumor cells during their metastatic spread. These basic science discoveries have shed light into previously unknown mechanisms utilized by tumor cells during metastasis and open new avenues to combat this deadly disease.
From a translational perspective, the Konstantopoulos lab has developed a Microfluidic Invasion Network Device (MIND) for diagnosis, prognosis, and precision care of cancer patients. Because of the current inability to accurately predict the metastatic potential of primary tumors, some patients may be overtreated while others receive inadequate treatment. MIND has the potential to be used as a companion assay for clinical prediction of metastasis and selection of effective, individualized therapeutic regimens.
Research Interests
Papers共 279 篇Author StatisticsCo-AuthorSimilar Experts
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Geonhui Lee,Claudia Wong, Anna Cho,Junior J West,Ashleigh J Crawford,Gabriella C Russo, Bishwa Ranjan Si, Jungwoo Kim, Lauren Hoffner,Cholsoon Jang,Moonjung Jung,Robert D Leone,
bioRxiv : the preprint server for biology (2024)
Research square (2024)
bioRxiv : the preprint server for biology (2024)
Qin Ni, Zhuoxu Ge,Yizeng Li, Gabriel Shatkin,Jinyu Fu, Kaustav Bera, Yuhang Yang,Yichen Wang, Anindya Sen, Yufei Wu, Ana Carina Nogueira Vasconcelos,Andrew P Feinberg,
bioRxiv : the preprint server for biology (2024)
Matthew K. Eason, Se-Jong Lee, Poornima Dubey,Anthony Kim,Konstantinos Konstantopoulos,Aikaterini Kontrogianni-Konstantopoulos
CANCER RESEARCHno. 3 (2024)
Geonhui Lee,Claudia Wong, Anna Cho,Junior J West,Ashleigh J Crawford, Gabriella C Russo, Bishwa Ranjan Si, Jungwoo Kim, Lauren Hoffner,Cholsoon Jang,Moonjung Jung, Robert D Leone,
Cancer research (2024)
Trends in cell biology (2024)
crossref(2023)
Raj Kumar Sadhu,Christian Hernandez-Padilla, Yael Eshed Eisenbach,Samo Penič, Lixia Zhang,Harshad D. Vishwasrao,Bahareh Behkam,Konstantinos Konstantopoulos,Hari Shroff,Aleš Iglič,Elior Peles,Amrinder S. Nain,
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