This federal Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $391,703 to The Regents of the University of California, San Francisco (UCSF) to develop rapid, sensitive, and reproducible platforms for screening drugs in a preclinical setting using patient-derived organoids (PDOs). The key goals are to: 1) Improve the scalability, speed, physiological relevance, complexity, and reproducibility of PDOs derived from breast cancer...
This $585,931 Project Grant award from the National Cancer Institute (NCI) under the Cancer Biology Research program (CFDA 93.396) will support research by the University of Pittsburgh to develop a comprehensive framework for evaluating the molecular congruence and selection of cancer models, such as cell lines, patient-derived xenografts (PDX), and patient-derived organoids (PDO), to guide translational and clinical applications. The research aims to: (1) identify and clinically annotate...
This Cooperative Agreement award, issued by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, provides $1,213,619 to Encapsulate Inc. to develop a precision oncology platform that integrates microfluidics, biochips, bioreactors, and 3D tumor models to predict patient-specific cancer drug responses. The project aims to create tumor models from patient-derived biopsy specimens, allowing oncologists to test multiple treatment options...
This $244,228 Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) to the University of Texas MD Anderson Cancer Center aims to develop a functional proteomics approach to accurately map patient tumor samples with preclinical lung cancer models. The key objectives are: 1) Expand proteomics profiling of lung cancer patient-derived xenograft (PDX) models using a high-throughput reverse-phase protein array (RPPA) platform; and 2) Build a...
This $679,188 Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) aims to develop liquid biopsy tools using artificial intelligence-assisted isolation of tumor cells from malignant effusions to evaluate known biomarkers and discover new predictive biomarkers and drug targets for metastatic breast cancer. The project will first validate the DeepCell AI-assisted platform to isolate circulating tumor cells from malignant effusions, then use...
The National Cancer Institute (NCI) awarded a $398,895 Project Grant (CFDA 93.396 - Cancer Biology Research) to Keliomics, Inc., a minority-owned small business located in Portland, Oregon. The grant supports the development of novel in vitro breast cancer models using live human breast tissue. The goal is to generate models representing diverse breast cancer subtypes, including those seen in Black and White populations, as well as early and advanced disease stages. These models will be used...
This $427,095 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) supports the development of a novel microfluidic droplet-based platform (MDP) technology to generate and analyze a 3D biomimetic multicellular immunogenic tumor model. The goal is to establish multiple levels of hypoxia within the tumor-chip, investigate spatiotemporal interaction between the tumor microenvironment and cancer-immune cells during...
This $275,956 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an advanced cyber-physical system for precision cancer medicine. The University of Massachusetts Lowell, the prime awardee, will leverage its expertise in biofabrication, tissue engineering, microfluidics, bioanalysis, and artificial intelligence to create a multi-organ-on-a-chip platform. This platform will...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Cerflux Inc. aims to develop a personalized cancer treatment screening platform. The project will establish guidelines for handling solid tumor biopsy samples, generate 3D bioprinted tumor models for validation, and demonstrate the platform's ability to match patients with the most effective cancer treatments before treatment begins. This innovative approach has the...
This federal Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $419,133 to Massachusetts Institute of Technology (MIT) to advance the development of patient ascites therapeutic response biosensors. The project aims to overcome key bottlenecks in cancer drug resistance by leveraging patient ascites, a plentiful and molecularly representative sample format, to evaluate cell identities and therapeutic sensitivities using a...
MICRO-ORGANOSPHERES DRUG SCREEN TO LEAD CARE (MODEL): A PRECISION ONCOLOGY PLATFORM TO GUIDE BREAST CANCER THERAPY - PROJECT SUMMARY/ABSTRACT THE GOAL OF PRECISION ONCOLOGY IS TO MATCH CANCER PATIENTS WITH MEDICINES BASED ON THE SPECIFIC BIOLOGY OF THEIR TUMOR. CRUCIALLY, THE CURRENT PRECISION ONCOLOGY PARADIGM - WHICH IS LARGELY BASED ON TUMOR GENOMIC PROFILING - DOESN'T WORK FOR THE MAJORITY OF PATIENTS. SINCE EVERY PATIENT'S TUMOR IS UNIQUELY COMPLEX, A POTENTIAL SOLUTION TO THIS "PRECISION" PROBLEM INVOLVES CREATING A VIABLE FUNCTIONAL MODEL OF A PATIENT'S INDIVIDUAL TUMOR IN ORDER TO DIRECTLY TEST ITS SUSCEPTIBILITY TO DIFFERENT DRUGS. THE BROAD ADOPTION OF SUCH PATIENT-DERIVED FUNCTIONAL MODELS INTO THE CLINIC THUS FAR HAS BEEN HINDERED BY SEVERAL LIMITATIONS CENTERED ON SCALABILITY, TIME, AND SUCCESS RATE. SPECIFICALLY, ANY ASSAY FOR GUIDING THERAPY MUST BE: I) AMENABLE TO THE AMOUNT OF MATERIAL DERIVED FROM NEEDLE BIOPSIES, II) ESTABLISHED WITH A HIGH SUCCESS RATE, AND III) COMPLETED WITHIN 10-14 DAYS TO MINIMIZE UNACCEPTABLE TREATMENT DELAYS. TO ADDRESS THESE CLINICAL LIMITATIONS, WE HAVE DEVELOPED THE NOVEL MICRO-ORGANOSPHERE DRUG SCREEN TO LEAD CARE (MODEL) PLATFORM. MODEL IS BASED ON NOVEL MICROFLUIDICS TECHNOLOGY THAT GENERATES PATIENT-DERIVED MICRO-ORGANOSPHERES (PDMO) FROM CLINICAL SAMPLES (E.G., BIOPSIES) AND PERFORMS DRUG SCREENING WITHIN 10 DAYS TO GUIDE THERAPY. THE OBJECTIVE OF OUR PROPOSAL IS TO FURTHER DEVELOP AND VALIDATE OUR MODEL TECHNOLOGY IN BREAST CANCER, WITH A VIEW TO ADVANCING IT FURTHER TOWARDS BECOMING A STANDARD OF CARE DIAGNOSTIC ASSAY. PHASE I OF OUR PROPOSAL WILL FOCUS ON PREPARING OUR MODEL DEVICE FOR RIGOROUS CLINICAL EVALUATION. IN AIM 1 WE WILL MAKE KEY UPGRADES TO OUR DEVICE PROTOTYPE TO IMPROVE SAMPLE EFFICIENCY, DEVICE PERFORMANCE, AND OPERABILITY. SPECIFICALLY, THE GOAL OF THESE IMPROVEMENTS WILL BE TO REDUCE SAMPLE SIZE REQUIREMENTS (EXTENDING OUR CAPABILITIES DOWN TO FINE-NEEDLE ASPIRATES), ENHANCE DEVICE PERFORMANCE, REINFORCE CONSISTENCY OF KEY PARAMETERS DURING AND BETWEEN RUNS, AND INCREASE PROCESS AUTOMATION. IN AIM 2, WE WILL RIGOROUSLY TEST THE ABILITY OF OUR SECOND-GENERATION DEVICE TO I) SUCCESSFULLY GENERATE PDMO FROM BREAST CANCER BIOPSIES AND II) PERFORM DRUG SCREENS IN LESS THAN 10 DAYS TOTAL. IN PHASE II, WE WILL MAKE KEY DEVICE UPGRADES TO PREPARE THE MODEL PLATFORM FOR COMMERCIALIZATION, FOCUSING ON IMPROVING FEATURES RELATED TO DATA INTEGRITY AND EASE-OF-USE (AIM 1). IN AIM 2 WE WILL PERFORM THE FIRST VALIDATION OF OUR MODEL PLATFORM IN A HER2+ BREAST CANCER CLINICAL PROTOCOL CONSISTING OF 50 PATIENTS, WITH THE GOAL OF TESTING MODEL'S ABILITY TO PREDICT RESPONSE TO STANDARD OF CARE NEOADJUVANT THERAPY. IF SUCCESSFUL, THE DEVELOPMENT OF OUR PLATFORM WILL REVOLUTIONIZE PRECISION ONCOLOGY BY ARMING ONCOLOGISTS WITH THE INFORMATION NEEDED TO OPTIMALLY MATCH CANCER PATIENTS WITH MEDICINES.