Advances in medical decision support systems for diagnosis of acute graft-versus-host disease: molecular and computational intelligence joint approaches
Tóm tắt
Acute graft-versus-host disease (aGVHD) is a serious systemic complication of allogeneic hematopoietic stem cell transplantation (HSCT) causing considerable morbidity and mortality. Acute GVHD occurs when alloreactive donor-derived T cells recognize host-recipient antigens as foreign. These trigger a complex multiphase process that ultimately results in apoptotic injury in target organs. The early events leading to GVHD seem to occur very soon, presumably within hours from the graft infusion. Therefore, when the first signs of aGVHD clinically manifest, the disease has been ongoing for several days at the cellular level, and the inflammatory cytokine cascade is fully activated. So, it comes as no surprise that progress in treatment based on clinical diagnosis of aGVHD has been limited in the past 30 years. It is likely that a pre-emptive strategy using systemic high-dose corticosteroids as early as possible could improve the outcome of aGVHD. Due to the deleterious effects of such treatment particularly in terms of infection risk posed by systemic steroid administration in a population that is already immune-suppressed, it is critical to identify biomarker signatures for approaching this very complex task. Some research groups have begun addressing this issue through molecular and proteomic analyses, combining these approaches with computational intelligence techniques, with the specific aim of facilitating the identification of diagnostic biomarkers in aGVHD. In this review, we focus on the aGVHD scenario and on the more recent state-of-the-art. We also attempt to give an overview of the classical and novel techniques proposed as medical decision support system for the diagnosis of GVHD.
Tài liệu tham khảo
Ayuk F, Diyachenko G, Zabelina T, Panse J, Wolschke C, Eiermann T, Binder T, Fehse B, Erttmann R, Kabisch H, Bacher U, Kröger N, Zander A R (2008). Anti-thymocyte globulin overcomes the negative impact of HLA mismatching in transplantation from unrelated donors. Exp Hematol, 36(8): 1047–1054
Bacigalupo A, Lamparelli T, Milone G, Sormani M P, Ciceri F, Peccatori J, Locasciulli A, Majolino I, Di Bartolomeo P, Mazza F, Sacchi N, Pollicheni S, Pinto V, Van Lint M T, the Gruppo Italiano Trapianto Midollo Osseo (GITMO) (2010). Pre-emptive treatment of acute GVHD: a randomized multicenter trial of rabbit anti-thymocyte globulin, given on day + 7 after alternative donor transplants. Bone Marrow Transplant, 45(2): 385–391
Beilhack A, Schulz S, Baker J, Beilhack G F, Wieland C B, Herman E I, Baker E M, Cao Y A, Contag C H, Negrin R S (2005). In vivo analyses of early events in acute graft-versus-host disease reveal sequential infiltration of T-cell subsets. Blood, 106(3): 1113–1122
Brodoefel H, Bethge W, Vogel M, Fenchel M, Faul C, Wehrmann M, Claussen C, Horger M (2010). Early and late-onset acute GVHD following hematopoietic cell transplantation: CT features of gastrointestinal involvement with clinical and pathological correlation. Eur J Radiol, 73(3): 594–600
Buzzeo M P, Yang J, Casella G, Reddy V (2008). A preliminary gene expression profile of acute graft-versus-host disease. Cell Transplant, 17(5): 489–494
Chaussabel D, Pascual V, Banchereau J (2010). Assessing the human immune system through blood transcriptomics. BMC Biol, 8(1): 84–98
Ferrara J L (2008). Advances in the clinical management of GVHD. Best Pract Res Clin Haematol, 21(4): 677–682
Ferrara J L, Levine J E, Reddy P, Holler E (2009). Graft-versus-host disease. Lancet, 373(9674): 1550–1561
Ferrara J L, Reddy P (2006). Pathophysiology of graft-versus-host disease. Semin Hematol, 43(1): 3–10
Fiasché M (2010). Implementations of Evolving Integrated Multimodel Systems, Algorithms and Applications in Biomedical Field. DissertationTip. DIMET, University “Mediterranea” of Reggio Calabria
Fiasché M, Cuzzola M, Fedele R, Iacopino P, Morabito F C (2010a). Machine Learning and Personalized Modelling based Gene Selection for acute GvHD Gene Expression Data Analysis. In: Artificial Neural Networks — proceedings of ICANN 2010 Part I, LNCS6352
Fiasché M, Cuzzola M, Iacopino P, Kasabov N, Morabito F C (2010b). Personalized Modelling based Gene Selection for acute GvHD Gene Expression Data Analysis: a Computational Framework Proposed. Australian Journal of Intelligent Information Processing Systems, 12(4): Machine Learning Applications (Part II)
Fiasché M, Verma A, Cuzzola M, Iacopino P, Kasabov N, Morabito F C (2009). Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. In: Artificial Neural Networks — ICANN 2009. Part II, LNCS 5769/2009, Berlin: Springer Heidelberg, pp. 10–19
Firoz B F, Lee S J, Nghiem P, Qureshi A A (2006). Role of skin biopsy to confirm suspected acute graft-vs-host disease: results of decision analysis. Arch Dermatol, 142(2): 175–182
Foley J E, Mariotti J, Ryan K, Eckhaus M, Fowler D H (2008). Th2 cell therapy of established acute graft-versus-host disease requires IL-4 and IL-10 and is abrogated by IL-2 or host-type antigen-presenting cells. Biol Blood Marrow Transplant, 14(9): 959–972
Fujimura J, Takeda K, Kaduka Y, Saito M, Akiba H, Yagita H, Yamashiro Y, Shimizu T, Okumura K (2010). Contribution of B7RP-1/ICOS co-stimulation to lethal acute GVHD. Pediatr Transplant, 14(4): 540–548
Guyon I, Elisseeff A (2003). An introduction to variable and feature selection. J Mach Learn Res, 3(7–8): 1157–1182
Harik G R, Lobo F G, Goldberg D E (1999). The compact genetic algorithm. IEEE Trans Evol Comput, 3(4): 287–297
Ho V T, Cutler C (2008). Current and novel therapies in acute GVHD. Best Pract Res Clin Haematol, 21(2): 223–237
Hu Y, Song Q, Kasabov N (2009). Personalized modelling based gene selection for microarray data analysis. In: Köppen M, Kasabov N, Coghill G (eds.). ICONIP 2008, Part I. LNCS. Springer, Heidelberg, vol. 5506, pp. 1221–1228
Jacobsohn D A, Vogelsang G B (2007). Acute graft versus host disease. Orphanet J Rare Dis, 2(1): 35–44
Lord J D, Hackman R C, Gooley T A, Wood B L, Moklebust A C, Hockenbery D M, Steinbach G, Ziegler S F, McDonald G B (2011). Blood and gastric FOXP3+ T cells are not decreased in human gastric graft versus host disease. Biol Blood Marrow Transplant, 17(4): 486–496
Kasabov N (2007a). Evolving Connectionist Systems: The Knowledge Engineering Approach, 2nd ed. Springer, London
Kasabov N (2007b). Global, local and personalized modelling and profile discovery in bioinformatics: An integrated approach. Pattern Recognit Lett, 28(6): 673–685
Kasabov N (2010). To spike or not to spike: A probabilistic spiking neural model. Neural Networks, 23(1): 16–19
Kato K, Cui S, Kuick R, Mineishi S, Hexner E, Ferrara J L M, Emerson S G, Zhang Y (2010). Identification of stem cell transcriptional programs normally expressed in embryonic and neural stem cells in alloreactive CD8+ T cells mediating graft-versus-host disease. Biol Blood Marrow Transplant, 16(6): 751–771
Langley P (1994). Selection of relevant features in machine learning, In: Proceedings of AAAI Fall Symposium on Relevance, 140–144
Magenau J M, Qin X, Tawara I, Rogers C E, Kitko C, Schlough M, Bickley D, Braun T M, Jang P S, Lowler K P, Jones D M, Choi S W, Reddy P, Mineishi S, Levine J E, Ferrara J L, Paczesny S (2010). Frequency of CD4+CD25(hi)FOXP3+ regulatory T cells has diagnostic and prognostic value as a biomarker for acute graftversus-host-disease. Biol Blood Marrow Transplant, 16(7): 907–914
Miura Y, Thoburn C J, Bright E C, Phelps M L, Shin T, Matsui E C, Matsui W H, Arai S, Fuchs E J, Vogelsang G B, Jones R J, Hess A D (2004). Association of Foxp3 regulatory gene expression with graftversus-host disease. Blood, 104(7): 2187–2193
Mohty M, Gaugler B, Faucher C, Sainty D, Lafage-Pochitaloff M, Vey N, Bouabdallah R, Arnoulet C, Gastaut JA, Viret F, Wolfers J, Maraninchi D, Blaise D, Olive D (2002). Recovery of lymphocyte and dendritic cell subsets following reduced intensity allogeneic bone marrow transplantation. Hematology, 7(3): 157–64
Paczesny S, Braun T M, Levine J E, Hogan J, Crawford J, Coffing B, Olsen S, Choi S W, Wang H, Faca V, Pitteri S, Zhang Q, Chin A, Kitko C, Mineishi S, Yanik G, Peres E, Hanauer D, Wang Y, Reddy P, Hanash S, Ferrara J L M (2010a). Elafin is a biomarker of graftversus-host disease of the skin. Sci Transl Med, 2(13): ra2
Paczesny S, Hanauer D, Sun Y, Reddy P (2010b). New perspectives on the biology of acute GVHD. Bone Marrow Transplant, 45(1): 1–11
Paczesny S, Krijanovski O I, Braun T M, Choi S W, Clouthier S G, Kuick R, Misek D E, Cooke K R, Kitko C L, Weyand A, Bickley D, Jones D, Whitfield J, Reddy P, Levine J E, Hanash S M, Ferrara J L M (2009a). A biomarker panel for acute graft-versus-host disease. Blood, 113(2): 273–278
Paczesny S, Levine J E, Braun T M, Ferrara J L M (2009b). Plasma biomarkers in graft-versus-host disease: a new era? Biol Blood Marrow Transplant, 15(Suppl): 33–38
Payne D K, Sullivan M D, Massie M J (1996). Women’s psychological reactions to breast cancer. Semin Oncol, 23(Suppl 2): 89–97
Piper K P, Horlock C, Curnow S J, Arrazi J, Nicholls S, Mahendra P, Craddock C, Moss P A H (2007). CXCL10-CXCR3 interactions play an important role in the pathogenesis of acute graft-versus-host disease in the skin following allogeneic stem-cell transplantation. Blood, 110(12): 3827–3832
Platt J (1998). Fast training of support vector machines using sequential minimal optimization. Advances in Kernel Methods-Support Vector Learning. MIT Press
Schub N, Günther A, Schrauder A, Claviez A, Ehlert C, Gramatzki M, Repp R (2011). Therapy of steroid-refractory acute GVHD with CD52 antibody alemtuzumab is effective. Bone Marrow Tranplant, 46: 143–147
Socié G (2009). Graft-versus-host disease: proteomics comes of age. Blood, 113(2): 271–272
Socié G, Blazar B R (2009). Acute graft-versus-host disease: from the bench to the bedside. Blood, 114(20): 4327–4336
Song Q, Kasabov N (2006). TWNFI — Transductive weighted neurofuzzy inference system and applications for personalized modelling. Neural Netw, 19(10): 159–596
van Bekkum D W, Vries De M J (1967). Radiation Chimaeras, London: Logos Press
Varadi G, Or R, Slavin S, Nagler A (1996). In vivo CAMPATH-1 monoclonal antibodies: a novel mode of therapy for acute graftversus-host disease. Am J Hematol, 52(3): 236–237
Verma A, Fiasché M, Cuzzola M, Iacopino P, Morabito F C, Kasabov N (2009). Ontology Based Personalized Modelling for Type 2 Diabetes Risk Analysis: An Integrated Approach. In: Leung C S, Lee M, Chan J H (Eds.): ICONIP 2009, Part II, LNCS 5864, Springer, Heidelberg, pp. 360–366
Weissinger E M, Schiffer E, Hertenstein B, Ferrara J L, Holler E, Stadler M, Kolb H J, Zander A, Zürbig P, Kellmann M, Ganser A (2007). Proteomic patterns predict acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation. Blood, 109(12): 5511–5519
Wolf D, Wolf AM, Fong D, Rumpold H, Strasak A, Clausen J, Nachbaur D (2007). Regulatory T-cells in the graft and the risk of acute graftversus-host disease after allogeneic stem cell transplantation. Transplantation, 83(8): 1107–1113
Yu X Z, Liang Y, Nurieva R I, Guo F, Anasetti C, Dong C (2006). Opposing effects of ICOS on graft-versus-host disease mediated by CD4 and CD8 T cells. J Immunol, 176(12): 7394–7401