Functional proteogenomics reveals biomarkers and therapeutic targets in lymphomas
Identification of biomarkers and therapeutic targets is a critical goal of precision medicine. N-glycoproteins are a particularly attractive class of proteins that constitute potential cancer biomarkers and therapeutic targets for smallmolecules, antibodies, and cellular therapies. Using mass spectr...
Saved in:
Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 114; no. 25; pp. 6581 - 6586 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
20.06.2017
|
Subjects | |
Online Access | Get full text |
ISSN | 0027-8424 1091-6490 1091-6490 |
DOI | 10.1073/pnas.1701263114 |
Cover
Summary: | Identification of biomarkers and therapeutic targets is a critical goal of precision medicine. N-glycoproteins are a particularly attractive class of proteins that constitute potential cancer biomarkers and therapeutic targets for smallmolecules, antibodies, and cellular therapies. Using mass spectrometry (MS), we generated a compendium of 1,091 N-glycoproteins (from 40 human primary lymphomas and cell lines). Hierarchical clustering revealed distinct subtype signatures that included several subtype-specific biomarkers. Orthogonal immunological studies in 671 primary lymphoma tissue biopsies and 32 lymphomaderived cell lines corroborated MS data. In anaplastic lymphoma kinase-positive (ALK⁺) anaplastic large cell lymphoma (ALCL), integration of N-glycoproteomics and transcriptome sequencing revealed an ALK-regulated cytokine/receptor signaling network, including vulnerabilities corroborated by a genome-wide clustered regularly interspaced short palindromic screen. Functional targeting of IL-31 receptor β, an ALCL-enriched and ALK-regulated N-glycoprotein in this network, abrogated ALK⁺ALCL growth in vitro and in vivo. Our results highlight the utility of functional proteogenomic approaches for discovery of cancer biomarkers and therapeutic targets. |
---|---|
Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 1D.C.M.R., V.B., and Y.-K.J. contributed equally to this work. Edited by Louis M. Staudt, National Cancer Institute, NIH, Bethesda, MD, and approved May 2, 2017 (received for review January 23, 2017) Author contributions: D.C.M.R., V.B., C.M.-S., M.S.L., and K.S.J.E.-J. designed research; D.C.M.R., V.B., Y.-K.J., C.M.-S., K.P.C., S.Y.N., N.A.B., D.G.T., N.G.B., D.E.R., and D.M.W. performed research; D.C.M.R., D.F., Y.Z., C.-C.T., A.I.N., and R.B.F. analyzed data; and D.C.M.R., V.B., G.S.O., R.B.F., M.S.L., and K.S.J.E.-J. wrote the paper. |
ISSN: | 0027-8424 1091-6490 1091-6490 |
DOI: | 10.1073/pnas.1701263114 |