Project 2? Defining the relationship between tumor composition, spatial heterogeneity, drug delivery, and drug efficacy The ultimate goal of this project is to determine the physical factors regulating therapeutic distribution and therapeutic efficacy in brain tumors. To this end, we have developed a highly innovative integrated strategy to quantitatively map therapeutic distribution with spatially registered characterization of the tumor architecture and therapeutic efficacy, all within a given tumor specimen. Specifically, in this approach we will combine MALDI-MSI to quantify drug distribution, stimulated Raman scattering imaging for label free analysis of tumor architecture with optical imaging resolution, immunohistochemistry to determine the tumor cell state and target distribution, proximity ligation assays for cellular spatial resolution of signaling response to therapy, and laser- capture microdissection RNASeq to quantify spatially resolved transcriptional response to therapy. All of these approaches will be performed in serial sections from individual tumors, thereby enabling the integration of spatially registered data. Together with mass spectrometry based phosphoproteomics and RNASeq analysis to quantify the dynamic signaling and transcriptional network response to a spectrum of defined drug concentrations in additional tumor specimens, the data generated in this project will (1) map spatially heterogeneous drug distribution and drug efficacy and (2) enable the computational modeling of the physical factors governing distribution and regulating the cellular and molecular response to different local drug concentrations. The novel integration of cutting-edge imaging and systems biology approaches applied to different sections of the same tumor, combined with computational models to identify the physical factors governing drug distribution and tumor cell response, will provide unprecedented insight into the complex dynamic behavior of tumor cells in vivo in response to spatially heterogeneous levels of therapeutics.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA210180-05
Application #
9994241
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2016-08-29
Project End
2021-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02142
Rothenberg, Daniel A; Taliaferro, J Matthew; Huber, Sabrina M et al. (2018) A Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growth. iScience 9:367-381
Prahl, Louis S; Bangasser, Patrick F; Stopfer, Lauren E et al. (2018) Microtubule-Based Control of Motor-Clutch System Mechanics in Glioma Cell Migration. Cell Rep 25:2591-2604.e8
Kim, Minjee; Ma, Daniel J; Calligaris, David et al. (2018) Efficacy of the MDM2 Inhibitor SAR405838 in Glioblastoma Is Limited by Poor Distribution Across the Blood-Brain Barrier. Mol Cancer Ther 17:1893-1901
Basu, Sankha S; Randall, Elizabeth C; Regan, Michael S et al. (2018) In Vitro Liquid Extraction Surface Analysis Mass Spectrometry (ivLESA-MS) for Direct Metabolic Analysis of Adherent Cells in Culture. Anal Chem 90:4987-4991
Randall, Elizabeth C; Emdal, Kristina B; Laramy, Janice K et al. (2018) Integrated mapping of pharmacokinetics and pharmacodynamics in a patient-derived xenograft model of glioblastoma. Nat Commun 9:4904
Roos, Alison; Dhruv, Harshil D; Peng, Sen et al. (2018) EGFRvIII-Stat5 Signaling Enhances Glioblastoma Cell Migration and Survival. Mol Cancer Res 16:1185-1195
Laramy, Janice K; Kim, Minjee; Gupta, Shiv K et al. (2017) Heterogeneous Binding and Central Nervous System Distribution of the Multitargeted Kinase Inhibitor Ponatinib Restrict Orthotopic Efficacy in a Patient-Derived Xenograft Model of Glioblastoma. J Pharmacol Exp Ther 363:136-147
Emdal, Kristina B; Dittmann, Antje; Reddy, Raven J et al. (2017) Characterization of In Vivo Resistance to Osimertinib and JNJ-61186372, an EGFR/Met Bispecific Antibody, Reveals Unique and Consensus Mechanisms of Resistance. Mol Cancer Ther 16:2572-2585
Gampa, Gautham; Vaidhyanathan, Shruthi; Sarkaria, Jann N et al. (2017) Drug delivery to melanoma brain metastases: Can current challenges lead to new opportunities? Pharmacol Res 123:10-25