Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis

Ramaprasad Srinivasan; Jasmine Daniels; Vincent Fusaro; Andreas Lundqvist; Jonathan K. Killian; David Geho; Martha Quezado; David Kleiner; Sally Rucker; Virginia Espina; Gordon Whiteley; Lance Liotta; Emmanuel Petricoin; Stefania Pittaluga; Ben Hitt; A. J. Barrett; Kevin Rosenblatt; Richard W. Childs

doi:10.1016/j.exphem.2006.02.013

Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis

Ramaprasad Srinivasan, Jasmine Daniels, Vincent Fusaro, Andreas Lundqvist, Jonathan K. Killian, David Geho, Martha Quezado, David Kleiner, Sally Rucker, Virginia Espina, Gordon Whiteley, Lance Liotta, Emmanuel Petricoin, Stefania Pittaluga, Ben Hitt, A. J. Barrett, Kevin Rosenblatt, Richard W. Childs^*

^*Corresponding author for this work

Surgery

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

Abstract

Objective: The rapid diagnosis of acute graft-versus-host disease (GVHD) following allogeneic hematopoietic cell transplantation (HCT) is important for optimizing the management of this life-threatening complication. Current diagnostic techniques are time-consuming and require invasive tissue sampling. We investigated serum protein pattern analysis using surface-enhanced laser desorption ionization time-of-flight (SELDI-TOF) mass spectrometry as a tool to diagnose GVHD. Patients and Methods: Eighty-eight serum samples were obtained from 34 patients undergoing HCT either pretransplant (n = 28 samples) or at various time points posttransplant (n = 60 samples), including 22 samples obtained on the day of onset of acute GVHD symptoms. Serum proteomic spectra generated from a "training set" of known samples were used to identify distinct proteomic patterns that best categorized a sample as either pretransplant, posttransplant non-GVHD, or GVHD; these distinct proteomic signatures were subsequently used to classify samples from a masked "test" sample set into the appropriate diagnostic category. Results: Proteomic pattern analysis accurately distinguished GVHD samples from both posttransplant non-GVHD samples and pretransplant samples (100% specificity and 100% sensitivity in both cases). Furthermore, distinct serum proteomic signatures were identified that distinguished pretransplant from posttransplant non-GVHD samples (100% specificity and 94% sensitivity). Conclusion: These preliminary data suggest a potential application of SELDI-TOF-based proteomic analysis as a rapid and accurate method to diagnose acute GVHD.

Original language	English
Pages (from-to)	796-801
Number of pages	6
Journal	Experimental Hematology
Volume	34
Issue number	6
DOIs	https://doi.org/10.1016/j.exphem.2006.02.013
State	Published - Jun 2006

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Srinivasan, R., Daniels, J., Fusaro, V., Lundqvist, A., Killian, J. K., Geho, D., Quezado, M., Kleiner, D., Rucker, S., Espina, V., Whiteley, G., Liotta, L., Petricoin, E., Pittaluga, S., Hitt, B., Barrett, A. J., Rosenblatt, K., & Childs, R. W. (2006). Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis. Experimental Hematology, 34(6), 796-801. https://doi.org/10.1016/j.exphem.2006.02.013

@article{41a7d9c2297e4e84b867675993a3e465,

title = "Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis",

abstract = "Objective: The rapid diagnosis of acute graft-versus-host disease (GVHD) following allogeneic hematopoietic cell transplantation (HCT) is important for optimizing the management of this life-threatening complication. Current diagnostic techniques are time-consuming and require invasive tissue sampling. We investigated serum protein pattern analysis using surface-enhanced laser desorption ionization time-of-flight (SELDI-TOF) mass spectrometry as a tool to diagnose GVHD. Patients and Methods: Eighty-eight serum samples were obtained from 34 patients undergoing HCT either pretransplant (n = 28 samples) or at various time points posttransplant (n = 60 samples), including 22 samples obtained on the day of onset of acute GVHD symptoms. Serum proteomic spectra generated from a {"}training set{"} of known samples were used to identify distinct proteomic patterns that best categorized a sample as either pretransplant, posttransplant non-GVHD, or GVHD; these distinct proteomic signatures were subsequently used to classify samples from a masked {"}test{"} sample set into the appropriate diagnostic category. Results: Proteomic pattern analysis accurately distinguished GVHD samples from both posttransplant non-GVHD samples and pretransplant samples (100\% specificity and 100\% sensitivity in both cases). Furthermore, distinct serum proteomic signatures were identified that distinguished pretransplant from posttransplant non-GVHD samples (100\% specificity and 94\% sensitivity). Conclusion: These preliminary data suggest a potential application of SELDI-TOF-based proteomic analysis as a rapid and accurate method to diagnose acute GVHD.",

author = "Ramaprasad Srinivasan and Jasmine Daniels and Vincent Fusaro and Andreas Lundqvist and Killian, \{Jonathan K.\} and David Geho and Martha Quezado and David Kleiner and Sally Rucker and Virginia Espina and Gordon Whiteley and Lance Liotta and Emmanuel Petricoin and Stefania Pittaluga and Ben Hitt and Barrett, \{A. J.\} and Kevin Rosenblatt and Childs, \{Richard W.\}",

year = "2006",

month = jun,

doi = "10.1016/j.exphem.2006.02.013",

language = "English",

volume = "34",

pages = "796--801",

journal = "Experimental Hematology",

issn = "0301-472X",

publisher = "Elsevier Inc.",

number = "6",

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Srinivasan, R, Daniels, J, Fusaro, V, Lundqvist, A, Killian, JK, Geho, D, Quezado, M, Kleiner, D, Rucker, S, Espina, V, Whiteley, G, Liotta, L, Petricoin, E, Pittaluga, S, Hitt, B, Barrett, AJ, Rosenblatt, K & Childs, RW 2006, 'Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis', Experimental Hematology, vol. 34, no. 6, pp. 796-801. https://doi.org/10.1016/j.exphem.2006.02.013

TY - JOUR

T1 - Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis

AU - Srinivasan, Ramaprasad

AU - Daniels, Jasmine

AU - Fusaro, Vincent

AU - Lundqvist, Andreas

AU - Killian, Jonathan K.

AU - Geho, David

AU - Quezado, Martha

AU - Kleiner, David

AU - Rucker, Sally

AU - Espina, Virginia

AU - Whiteley, Gordon

AU - Liotta, Lance

AU - Petricoin, Emmanuel

AU - Pittaluga, Stefania

AU - Hitt, Ben

AU - Barrett, A. J.

AU - Rosenblatt, Kevin

AU - Childs, Richard W.

PY - 2006/6

Y1 - 2006/6

N2 - Objective: The rapid diagnosis of acute graft-versus-host disease (GVHD) following allogeneic hematopoietic cell transplantation (HCT) is important for optimizing the management of this life-threatening complication. Current diagnostic techniques are time-consuming and require invasive tissue sampling. We investigated serum protein pattern analysis using surface-enhanced laser desorption ionization time-of-flight (SELDI-TOF) mass spectrometry as a tool to diagnose GVHD. Patients and Methods: Eighty-eight serum samples were obtained from 34 patients undergoing HCT either pretransplant (n = 28 samples) or at various time points posttransplant (n = 60 samples), including 22 samples obtained on the day of onset of acute GVHD symptoms. Serum proteomic spectra generated from a "training set" of known samples were used to identify distinct proteomic patterns that best categorized a sample as either pretransplant, posttransplant non-GVHD, or GVHD; these distinct proteomic signatures were subsequently used to classify samples from a masked "test" sample set into the appropriate diagnostic category. Results: Proteomic pattern analysis accurately distinguished GVHD samples from both posttransplant non-GVHD samples and pretransplant samples (100% specificity and 100% sensitivity in both cases). Furthermore, distinct serum proteomic signatures were identified that distinguished pretransplant from posttransplant non-GVHD samples (100% specificity and 94% sensitivity). Conclusion: These preliminary data suggest a potential application of SELDI-TOF-based proteomic analysis as a rapid and accurate method to diagnose acute GVHD.

AB - Objective: The rapid diagnosis of acute graft-versus-host disease (GVHD) following allogeneic hematopoietic cell transplantation (HCT) is important for optimizing the management of this life-threatening complication. Current diagnostic techniques are time-consuming and require invasive tissue sampling. We investigated serum protein pattern analysis using surface-enhanced laser desorption ionization time-of-flight (SELDI-TOF) mass spectrometry as a tool to diagnose GVHD. Patients and Methods: Eighty-eight serum samples were obtained from 34 patients undergoing HCT either pretransplant (n = 28 samples) or at various time points posttransplant (n = 60 samples), including 22 samples obtained on the day of onset of acute GVHD symptoms. Serum proteomic spectra generated from a "training set" of known samples were used to identify distinct proteomic patterns that best categorized a sample as either pretransplant, posttransplant non-GVHD, or GVHD; these distinct proteomic signatures were subsequently used to classify samples from a masked "test" sample set into the appropriate diagnostic category. Results: Proteomic pattern analysis accurately distinguished GVHD samples from both posttransplant non-GVHD samples and pretransplant samples (100% specificity and 100% sensitivity in both cases). Furthermore, distinct serum proteomic signatures were identified that distinguished pretransplant from posttransplant non-GVHD samples (100% specificity and 94% sensitivity). Conclusion: These preliminary data suggest a potential application of SELDI-TOF-based proteomic analysis as a rapid and accurate method to diagnose acute GVHD.

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U2 - 10.1016/j.exphem.2006.02.013

DO - 10.1016/j.exphem.2006.02.013

M3 - Article

C2 - 16728285

AN - SCOPUS:33646682175

SN - 0301-472X

VL - 34

SP - 796

EP - 801

JO - Experimental Hematology

JF - Experimental Hematology

IS - 6

ER -

Accurate diagnosis of acute graft-versus-host disease using serum proteomic pattern analysis

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