Development of deep proteomic sequencing platforms for molecular markers in DLBCL Diffuse large B cell lymphoma (DLBCL) is a genetically and clinically heterogeneous disease that comprises the most common non-Hodgkin's lymphoma. To date efforts to unearth the molecular pathogenesis of DBLCL, identify therapeutic targets, and stratify patients according to specific sets of molecular lesions have relied on genome-level analyses that identified distinct substructure classifications and pathogenic mechanisms, including B-cell receptor (BCR)-dependent survival signaling. The potential biomarkers that have emerged from these studies await further validation. Quantitative proteomics has the power to reveal additional, novel molecular signatures at the protein/pathway level that may otherwise escape detection through genome-based approaches due to post-transcriptional and post-translational mechanisms. However, use of quantitative proteomics to profile molecular signatures and facilitate biomarker discovery in clinical tissues has been hampered by critical barriers such as poor detection of low-abundance proteins, overly complex sample workflows that are often incompatible with the protein quantities available in primary tumors, and low throughput. We have developed a novel and very high peak capacity liquid chromatography system coupled directly to mass spectrometry that can address these barriers and achieve extensive and quantitative proteome coverage. In the fullness of time, this platform will enable analyses of sufficiently large clinical cohorts to provde statistically-powered identification of protein biomarkers. In preliminary studies, we utilized a prototype version of our deep proteome sequencing platform to interrogate the proteome of primary DLBCL tumor biopsies and patient derived DLBCL cell lines. This analysis revealed previously unappreciated pathway-level heterogeneity in nutrient/fuel utilization and associated proliferation and survival advantages that segregate with the presence/absence of functional BCR signaling. In response to FOA PA-12-220, which encourages development of """"""""specific technologies for quantitative detection of novel biomarkers associated with hematopoietic malignancies,"""""""" we propose to test, validate and improve our proteomics platform for systematic interrogation of both proteome (Aim 1) and phosphoproteome (Aim 2) signatures in primary DLBCL tumors. Our goal is to identify and validate coordinate pathways that are differentially enriched in molecular subsets of DLBCL. Our study plan will reveal putative new stratification markers for DLBCL and credential our deep protein sequencing LC-MS/MS platform for future use on much larger NHL patient cohorts.

Public Health Relevance

Diffuse Large B Cell Lymphoma (DLBCL) represents a group of tumors that share an initial diagnosis but the molecular alterations that drive the tumor's growth, which would normally be used to identify disease markers or points of therapeutic intervention, are highly varied. The proposed studies will delineate the spectrum of quantitative changes in tumor protein expression and modification by using high performance quantitative proteomics platforms to define the landscape of molecular and cellular alterations in these tumors. The studies may reveal potential novel biomarkers associated with DLBCL that may help patient stratification and improve disease management.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21CA178860-01
Application #
8568350
Study Section
Tumor Cell Biology Study Section (TCB)
Program Officer
Sorg, Brian S
Project Start
2013-08-01
Project End
2015-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
1
Fiscal Year
2013
Total Cost
$190,313
Indirect Cost
$81,563
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
Ficarro, Scott B; Alexander, William M; Marto, Jarrod A (2017) mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data. Proteomes 5:
Norberg, Erik; Lako, Ana; Chen, Pei-Hsuan et al. (2017) Differential contribution of the mitochondrial translation pathway to the survival of diffuse large B-cell lymphoma subsets. Cell Death Differ 24:251-262
Wang, Leo D; Ficarro, Scott B; Hutchinson, John N et al. (2016) Phosphoproteomic profiling of mouse primary HSPCs reveals new regulators of HSPC mobilization. Blood 128:1465-74
Park, Eunyoung; Kim, Nayoung; Ficarro, Scott B et al. (2015) Structure and mechanism of activity-based inhibition of the EGF receptor by Mig6. Nat Struct Mol Biol 22:703-711
Kwiatkowski, Nicholas; Zhang, Tinghu; Rahl, Peter B et al. (2014) Targeting transcription regulation in cancer with a covalent CDK7 inhibitor. Nature 511:616-20
Gridling, Manuela; Ficarro, Scott B; Breitwieser, Florian P et al. (2014) Identification of kinase inhibitor targets in the lung cancer microenvironment by chemical and phosphoproteomics. Mol Cancer Ther 13:2751-62