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Marc Martínez-Llordella, Juan José Lozano, Isabel Puig-Pey, Giuseppe Orlando, Giuseppe Tisone, Jan Lerut, Carlos Benítez, Jose Antonio Pons, Pascual Parrilla, Pablo Ramírez, Miquel Bruguera, Antoni Rimola, Alberto Sánchez-Fueyo
Published in Volume 118, Issue 8
J Clin Invest. 2008; 118(8):2845–2857 doi:10.1172/JCI35342
Abstract | Full text | PDF | Supplemental material
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Figure 1
Study outline.

Peripheral blood samples were obtained from a total of 80 liver transplant recipients and 16 healthy individuals. Samples from TOL and non-TOL recipients were separated into a training set (38 samples) and a test set (23 samples). Differential microarray gene expression between TOL and non-TOL samples in the training set was first estimated employing SAM. This was followed by a search to identify genetic classifiers for prediction employing PAM, which resulted in a 26-probe signature. The PAM-derived signature was then employed to estimate the prevalence of tolerance among a cohort of 19 STA recipients. Next, among the genes identified by SAM and PAM, 68 genes were selected for validation on a qPCR platform, and the 34 validated targets were employed to identify additional classifiers employing MiPP. The 3 signatures identified by MiPP on the qPCR data set were then used to classify samples in the independent test of 11 TOL and 12 non-TOL recipients. None of the samples from the test set were employed for the genetic classifier discovery process.