Cancer Tissue Engineering Collaborative
The Cancer Tissue Engineering Collaborative (TEC) Research Program supports the development and characterization of state-of-the-art biomimetic tissue-engineered technologies for cancer research. Collaborative, multidisciplinary projects that engage the fields of regenerative medicine, tissue engineering, biomaterials, and bioengineering with cancer biology will be essential for generating novel experimental models that mimic cancer pathophysiology to elucidate specific cancer phenomena that are otherwise difficult to examine in vivo. Project applications are invited through an NCI-supported funding opportunity announcement for R01 grants.
The Cancer TEC Research Program will catalyze the advancement of innovative, well characterized in vitro and ex vivo systems available for cancer research, expand the breadth of these systems to several cancer types, and promote the exploration of cancer phenomena with biomimetic tissue-engineered systems.
Investigators supported through the Cancer TEC Research Program will be affiliate members of the NCI Physical Sciences - Oncology Network, and opportunities for cross-program discussion and collaboration will be fostered through activities such as the annual Physical Sciences - Oncology Network Investigators’ Meeting.
Funding Opportunities
The Cancer Tissue Engineering Collaborative consists of specialized U01 and R01 research projects. For information on ongoing funding opportunities, reference the R01 announcement Cancer Tissue Engineering Collaborative: Enabling Biomimetic Tissue-Engineered Technologies for Cancer Research PAR-19-113.
Research project grants awarded by the U01 Announcement PAR-16-105 are listed below. This U01 funding opportunity expired on January 27, 2017, and has been replaced by R01 announcement PAR-19-113. Slides and frequently asked questions from the public pre-application webinar are now available.
Funded Projects (as of January 2021)
| Institution |
Principal Investigators |
Project Title |
|---|
| Boston University |
Drs. Joe Tien and Celeste Nelson |
Engineered Invasive Human Breast Tumors with Integrated Capillaries and Lymphatics |
| Brigham and Women’s Hospital |
Drs. Ali Khademhosseini and Shiladitya Sengupta |
Engineering Personalized Micro-Tumor Ecosystems |
| Cleveland Clinic |
Drs. Emina Huang, Xiling Shen, and Michael Shuler |
An Organotypic Model Recapitulating Colon Cancer Microenvironment and Metastasis |
| Columbia University |
Dr. Gordana Vunjak-Novakovic |
Cancer Patient on a Chip |
| Harvard University |
Drs. David Mooney, Jennifer Lewis, and F. Stephen Hodi |
3D Models of Immunotherapy |
| Massachusetts Institute of Technology |
Drs. Roger Kamm and David Barbie |
Development of Physiologic Tissue Models to Assess Tumor Explant Response to Immune Checkpoint Blockade |
| University of California, Los Angeles |
Dr. Stephanie Seidlits |
Tissue-Engineered Models of Microvessel-Mediated Glioblastoma Invasion |
| University of California, San Francisco |
Drs. Manish K. Aghi and Sanjay Kumar |
Modeling and Druggable-Genome Screening of Glioblastoma Invasion Using Regional Biopsy-Guided Biomaterials Systems |
| University of Illinois |
Drs. Joanna E. Burdette and Jonathan Coppeta |
Dynamic Interactions of the Ovarian-Fallopian Axis in High Grade Serous Ovarian Cancer |
| University of Illinois at Urbana-Champaign |
Dr. Brendan Harley |
Perivascular Tissue Models to Overcome MGMT-Mediated Temozolomide Resistance in Glioblastoma |
| University of Miami |
Drs. Daniel Pelaez and William Harbour |
3-Dimensional Retinal Organoid Platform for the Study of Retinoblastoma |
| University of New South Wales |
Drs. Kristopher Kilian and John Copland |
Microtumor Arrays for the Development of Combination Therapies |
| University of Pittsburgh |
Dr. Shilpa Sant |
Three-Dimensional Organoid Models to Study Breast Cancer Progression |
| University of Southern California |
Dr. Shannon Mumenthaler |
A Microengineered Colon Cancer-Chip to Investigate Tumor-Stromal Interactions |
| University of Wisconsin |
Drs. Pamela Kreeger, Kristyn Masters, and Paul Campagnola |
Engineered ECM Platforms to Analyze Progression in High Grade Serous Ovarian Cancer |
| Yale University |
Rong Fan, Ph.D. and Jiangbing Zhou, Ph.D. |
Ex Vivo Analysis of Human Brain Tumor Cells in a Microvascular Niche Model |
