Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy

Michael Nebozhyn, Andrey Loboda, Laszlo Kari, Alain H. Rook, Eric C. Vonderheid, Stuart Lessin, Carole Berger, Richard Edelson, Calen Nichols, Malik Yousef, Lalitha Gudipati, Meiling Shang, Michael K. Showe, Louise C. Showe

Research output: Contribution to journalArticlepeer-review

71 Scopus citations


We previously identified a small number of genes using cDNA arrays that accurately diagnosed patients with Sézary Syndrome (SS), the erythrodermic and leukemic form of cutaneous T-cell lymphoma (CTCL). We now report the development of a quantitative real-time polymerase chain reaction (qRT-PCR) assay that uses expression values for just 5 of those genes: STAT4, GATA-3, PLS3, CD1D, and TRAIL. qRT-PCR data from peripheral blood mononuclear cells (PBMCs) accurately classified 88% of 17 patients with high blood tumor burden and 100% of 12 healthy controls in the training set using Fisher linear discriminant analysis (FLDA). The same 5 genes were then assayed on 56 new samples from 49 SS patients with blood tumor burdens of 5% to 99% and 69 samples from 65 new healthy controls. The average accuracy over 1000 resamplings was 90% using FLDA and 88% using support vector machine (SVM). We also tested the classifier on 14 samples from patients with CTCL with no detectable peripheral involvement and 3 patients with atopic dermatitis with severe erythroderma. The accuracy was 100% in identifying these samples as non-SS patients. These results are the first to demonstrate that gene expression profiling by quantitative PCR on a selected number of critical genes can be employed to molecularly diagnosis SS.

Original languageEnglish (US)
Pages (from-to)3189-3196
Number of pages8
Issue number8
StatePublished - Apr 15 2006
Externally publishedYes

ASJC Scopus subject areas

  • Hematology


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