Rapid analysis of patient tumor cell drug responses to reduce metastatic risk Background: The current limitations of clinical cancer imaging prevent a clear understanding of how drugs aimed at cell growth affect the metastatic potential of circulating tumor cells (CTCs) in breast cancer patients. With more than 2.2 million female Veterans, the current incidence of breast cancer predicts that at least 275,000 female Veterans will confront breast cancer treatment and require effective treatments that minimize the risk of lethal metastatic spread. Recent advances in CTC analysis have shown that clusters of breast cancer CTCs have up to 50x higher metastatic potential. The Martin lab discovered unique microtentacles (McTNs) on the surface of breast tumor cells that increase cluster formation, and are indicative of the elevated stem cell characteristics that promote breast cancer metastasis. Current cancer therapies that stabilize tubulin (like taxanes and epothilones) can increase McTNs, stem cell characteristics, tumor cell clustering, and reattachment. These results emphasize the need to clarify how current drugs affect free-floating tumor cells so that therapies can be better tailored to individual patients and reduce long-term metastatic risk. Objective/Hypothesis: Bringing together a multidisciplinary team of tumor cell biologists, bioengineers, and breast cancer clinicians; the objective of this project is to use a novel microfluidic device to rapidly image free-floating breast tumor cells and define 3 phenotypes that are predictive of metastatic potential (McTNs, sphere formation, clustering) and key molecular markers. These phenotypes and molecular profiles will be related to metastatic potential and drug response using clinically-relevant PDX transplants in mice. This study will test the hypothesis that key functional phenotypes and molecular markers of freshly-isolated breast tumor cells can serve as immediate indicators of metastatic potential and provide a platform to rapidly test the responses of individual patient tumor cells to cancer drugs.
Specific Aims : 1) Optimize microfluidic cell tethering to measure 3 functional phenotypes of metastatic potential. 2) Establish molecular framework for tumor cell drug responses in patient-derived xenograft (PDX) cells. 3) Define shared molecular and functional characteristics of fresh patient tumor cells, PDX and CTCs. Methods: This project will use confocal microscopy to examine 3 phenotypes (McTNs, sphere formation, and clustering) in breast tumor cell lines and a panel of existing patient-derived xenografts (PDX) supplied by the Translational Core Laboratory at the University of Maryland Greenebaum Cancer Center. In parallel, we will collect fresh patient tumor samples to compare molecular markers and phenotypes in the fresh cells with the PDX that eventually grow in mice. PDX recapitulate the metastatic behavior of the patient?s original tumor far more faithfully than any tissue culture model. Phenotypes and molecular markers of individual patient?s tumor cells will be compared to the molecular characteristics (ER/PR/HER2) of the original patient?s tumor, as well as growth and metastasis in the PDX model. Impact: The completion of this project will establish a framework for defining how the functional phenotypes of patient tumor cells predict metastatic potential and responses to breast cancer therapies. Current treatment strategies focus largely on inhibiting tumor growth, so this technology will open a new early window to help ensure drug treatments avoid inadvertently increasing metastatic risk while targeting tumor growth. Since this project will focus on FDA-approved breast cancer drugs, the findings can be more easily translated to impact the clinical treatment of breast cancer by tailoring therapies for individual female Veterans.
Since current clinical imaging (MRI/PET) can only detect tumors larger than 10 million tumor cells, it is exceedingly difficult to distinguish whether cancer therapies shrink tumor size by killing tumors or causing tumor cell scattering. These two scenarios have vastly different implications for the metastatic spread of cancer that eventually causes patient death. There are now more than 2.2 million women Veterans in the United States, and the health concerns of this growing female Veteran population are a VA priority. The National Cancer Institute estimates that 1 out of 8 women will develop breast cancer in their lifetime, yielding a current population of 275,000 female Veterans who will confront breast cancer and require effective treatment. This project will develop strategies to improve breast cancer treatment for the growing female Veteran population.
