The non-invasive diagnosis of human glioma could improve the quality of life of patients with this disease by allowing patients to be directly diagnosed or stratified for treatment without the need of an invasive brain biopsy. In Core B, the investigators propose to develop a novel clinical sample core to study extracellular RNA biomarkers for the diagnosis of human glioma tumors. In collaboration with the P01 project investigators, we will study EV proteins, nucleic acids, and physical characteristics as potential biomarkers for glioma diagnosis or progression. We will work with a consortium of institutions to provide rapid prospective collection of tumor tissue, CSF, and blood from glioma patients. In additon, the Core will provide biostatistical support to all Projects.

Public Health Relevance

Core B- Bob S. Carter PI Project Narrative Human brain tumors are challenging to diagnose and treat. Tumors may be located in critical parts of the brain that provide important function such as language or movement. Brian biopsy in these regions carries risk to the patient. A non-invasive means of diagnosing brain tumors would improve the quality of life of patients with this disease by reducing the need for invasive diagnostic procedures. In this study, we will analyze extracellular vesicles that are released from brain tumors into blood or cerebrospinal fluid as a means of diagnosing or improving the treatment of brain tumors. If successful, this research will improve the quality of life of patients with brain tumors and will open new avenues of research to study how patients respond to brain tumor treatments.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA069246-23
Application #
9939465
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2020-05-01
Budget End
2021-04-30
Support Year
23
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114
Lee, Kyungheon; Fraser, Kyle; Ghaddar, Bassel et al. (2018) Multiplexed Profiling of Single Extracellular Vesicles. ACS Nano 12:494-503
ReƔtegui, Eduardo; van der Vos, Kristan E; Lai, Charles P et al. (2018) Engineered nanointerfaces for microfluidic isolation and molecular profiling of tumor-specific extracellular vesicles. Nat Commun 9:175
Speranza, Maria-Carmela; Passaro, Carmela; Ricklefs, Franz et al. (2018) Preclinical investigation of combined gene-mediated cytotoxic immunotherapy and immune checkpoint blockade in glioblastoma. Neuro Oncol 20:225-235
Boussiotis, Vassiliki A; Charest, Alain (2018) Immunotherapies for malignant glioma. Oncogene 37:1121-1141
Sahin, Ayguen; Sanchez, Carlos; Bullain, Szofia et al. (2018) Development of third generation anti-EGFRvIII chimeric T cells and EGFRvIII-expressing artificial antigen presenting cells for adoptive cell therapy for glioma. PLoS One 13:e0199414
Nakashima, Hiroshi; Alayo, Quazim A; Penaloza-MacMaster, Pablo et al. (2018) Modeling tumor immunity of mouse glioblastoma by exhausted CD8+ T cells. Sci Rep 8:208
Shao, Huilin; Im, Hyungsoon; Castro, Cesar M et al. (2018) New Technologies for Analysis of Extracellular Vesicles. Chem Rev 118:1917-1950
Ricklefs, Franz L; Alayo, Quazim; Krenzlin, Harald et al. (2018) Immune evasion mediated by PD-L1 on glioblastoma-derived extracellular vesicles. Sci Adv 4:eaar2766
Park, Jongmin; Im, Hyungsoon; Hong, Seonki et al. (2018) Analyses of Intravesicular Exosomal Proteins Using a Nano-Plasmonic System. ACS Photonics 5:487-494
Antoury, Layal; Hu, Ningyan; Balaj, Leonora et al. (2018) Analysis of extracellular mRNA in human urine reveals splice variant biomarkers of muscular dystrophies. Nat Commun 9:3906

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