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Yang KS, Im H, Hong S, Pergolini I, Del Castillo AF, Wang R, Clardy S, Huang CH, Pille C, Ferrone S, Yang R, Castro CM, Lee H, Del Castillo CF, Weissleder R. Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy. Sci Transl Med 2017; 9:eaal3226. [PMID: 28539469 PMCID: PMC5846089 DOI: 10.1126/scitranslmed.aal3226] [Citation(s) in RCA: 183] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 03/29/2017] [Indexed: 12/26/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is usually detected late in the disease process. Clinical workup through imaging and tissue biopsies is often complex and expensive due to a paucity of reliable biomarkers. We used an advanced multiplexed plasmonic assay to analyze circulating tumor-derived extracellular vesicles (tEVs) in more than 100 clinical populations. Using EV-based protein marker profiling, we identified a signature of five markers (PDACEV signature) for PDAC detection. In our prospective cohort, the accuracy for the PDACEV signature was 84% [95% confidence interval (CI), 69 to 93%] but only 63 to 72% for single-marker screening. One of the best markers, GPC1 alone, had a sensitivity of 82% (CI, 60 to 95%) and a specificity of 52% (CI, 30 to 74%), whereas the PDACEV signature showed a sensitivity of 86% (CI, 65 to 97%) and a specificity of 81% (CI, 58 to 95%). The PDACEV signature of tEVs offered higher sensitivity, specificity, and accuracy than the existing serum marker (CA 19-9) or single-tEV marker analyses. This approach should improve the diagnosis of pancreatic cancer.
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Affiliation(s)
- Katherine S Yang
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hyungsoon Im
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Seonki Hong
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ilaria Pergolini
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Rui Wang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Susan Clardy
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Chen-Han Huang
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Craig Pille
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Health Sciences, Northeastern University, Boston, MA 02115, USA
| | - Soldano Ferrone
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Robert Yang
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Cesar M Castro
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Carlos Fernandez Del Castillo
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
- Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
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Kobayashi S, Ueno M, Irie K, Goda Y, Aoyama T, Morinaga S, Ohkawa S, Morimoto M. Potential prognostic significance of a new proteomic profile in patients with advanced pancreatic adenocarcinoma. Pancreatology 2015; 15:525-530. [PMID: 26255025 DOI: 10.1016/j.pan.2015.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Revised: 07/07/2015] [Accepted: 07/12/2015] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Seven-signal proteomic approach has recently been developed as a new proteomic profile measured by matrix-assisted laser desorption/ionization mass spectrometry. The aim of this study was to evaluate prognostic significance of this proteomic value in patients with pancreatic adenocarcinoma. METHODS Blood samples from the patients with pancreatic adenocarcinoma were prospectively collected before treatments including surgical resection and systemic chemotherapies. The seven-signal proteomic profiles of the samples were measured, and the prognostic significance of the proteomic value was evaluated through comparison with other existing prognostic markers. RESULTS Cut-off value of the proteomic profiles at 52 stratified overall prognosis of the patients (6.5 months vs. 10.9 months with the values ≥52 vs. <52, p = 0.020). In subgroup analyses of inoperable cases with carcinoembryonic antigen level of <5 ng/ml or performance status of 0-1, the proteomic value at 52 stratified their prognosis (p = 0.002 and p = 0.006, respectively). CONCLUSIONS The new seven-signal proteomics showed useful prognostic significance for patients with pancreatic adenocarcinoma. Further studies with a large sample size would be required to evaluate whether this proteomic approach possibly complements the existing parameters, such as carcinoembryonic antigen and performance status.
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Affiliation(s)
- Satoshi Kobayashi
- Division of Hepatobiliary and Pancreatic Medical Oncology, Kanagawa Cancer Center, Japan.
| | - Makoto Ueno
- Division of Hepatobiliary and Pancreatic Medical Oncology, Kanagawa Cancer Center, Japan
| | - Kuniyasu Irie
- Division of Hepatobiliary and Pancreatic Medical Oncology, Kanagawa Cancer Center, Japan
| | - Yoshihiro Goda
- Division of Hepatobiliary and Pancreatic Medical Oncology, Kanagawa Cancer Center, Japan
| | - Toru Aoyama
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Japan
| | - Soichiro Morinaga
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Japan
| | - Shinichi Ohkawa
- Division of Hepatobiliary and Pancreatic Medical Oncology, Kanagawa Cancer Center, Japan
| | - Manabu Morimoto
- Division of Hepatobiliary and Pancreatic Medical Oncology, Kanagawa Cancer Center, Japan
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An economical high-throughput protocol for multidimensional fractionation of proteins. INTERNATIONAL JOURNAL OF PROTEOMICS 2012; 2012:735132. [PMID: 23008771 PMCID: PMC3447371 DOI: 10.1155/2012/735132] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2012] [Revised: 07/06/2012] [Accepted: 07/24/2012] [Indexed: 11/18/2022]
Abstract
A sequential protocol of multidimensional fractionation was optimised to enable the comparative profiling of fractions of proteomes from cultured human cells. Differential detergent fractionation was employed as a first step to obtain fractions enriched for cytosolic, membrane/organelle, nuclear, and cytoskeletal proteins. Following buffer exchange using gel-permeation chromatography, cytosolic proteins were further fractionated by 2-dimensional chromatography employing anion-exchange followed by reversed-phase steps. Chromatographic fractions were shown to be readily compatible with 1- and 2-dimensional gel electrophoresis or with direct analysis by mass spectrometry using linear-MALDI-TOF-MS. Precision of extraction was confirmed by reproducible SDS-PAGE profiles, MALDI-TOF-MS spectra, and quantitation of trypsinolytic peptides using LC-MS/MS (MRM) analyses. Solid phases were immobilised in disposable cartridges and mobile-phase flow was achieved using a combination of centrifugation and vacuum pumping. These approaches yielded parallel sample handling which was limited only by the capacities of the employed devices and which enabled both high-throughput and experimentally precise procedures, as demonstrated by the processing of experimental replicates. Protocols were employed at 10 mg scale of extracted cell protein, but these approaches would be directly applicable to both smaller and larger quantities merely by adjusting the employed solid- and mobile-phase volumes. Additional potential applications of the fractionation protocol are briefly described.
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