ArticleThe Journal of molecular diagnostics : JMD2007
Identification and validation of biomarkers of IgV(H) mutation status in chronic lymphocytic leukemia using microfluidics quantitative real-time polymerase chain reaction technology.
Article in The Journal of molecular diagnostics : JMD, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Cell Settling, Migration, and Stochastic Cancer Gene Expression Suggest Potassium Membrane Flux May Initiate pH Reversal.Biomolecules · 2025Article
- A gene expression assay based on chronic lymphocytic leukemia activation in the microenvironment to predict progression.Blood advances · 2022Article
- Spatial organization and early signaling of the B-cell receptor in CLL.Frontiers in immunology · 2022Article
- Smartphone based on-chip fluorescence imaging and capillary flow velocity measurement for detecting ROR1+ cancer cells from buffy coat blood samples on dual-layer paper microfluidic chip.Biosensors & bioelectronics · 2020Article
- Article
- Expression ofHaematologica · 2018Article
- Regulatory network reconstruction reveals genes with prognostic value for chronic lymphocytic leukemia.BMC genomics · 2015Article
- Proteins interaction network and modeling of IGVH mutational status in chronic lymphocytic leukemia.Theoretical biology & medical modelling · 2015Article
- Small nucleolar RNAs as new biomarkers in chronic lymphocytic leukemia.BMC medical genomics · 2013Article
- Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.Journal of immunology (Baltimore, Md. : 1950) · 2012Article
- Article
- A two-gene signature, SKI and SLAMF1, predicts time-to-treatment in previously untreated patients with chronic lymphocytic leukemia.PloS one · 2011Article
- Article
- Cryptochrome-1 expression: a new prognostic marker in B-cell chronic lymphocytic leukemia.Haematologica · 2009Article
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13 authors.
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Abstract
To develop a model incorporating relevant prognostic biomarkers for untreated chronic lymphocytic leukemia patients, we re-analyzed the raw data from four published gene expression profiling studies. We selected 88 candidate biomarkers linked to immunoglobulin heavy-chain variable region gene (IgV(H)) mutation status and produced a reliable and reproducible microfluidics quantitative real-time polymerase chain reaction array. We applied this array to a training set of 29 purified samples from previously untreated patients. In an unsupervised analysis, the samples clustered into two groups. Using a cutoff point of 2% homology to the germline IgV(H) sequence, one group contained all 14 IgV(H)-unmutated samples; the other contained all 15 mutated samples. We confirmed the differential expression of 37 of the candidate biomarkers using two-sample t-tests. Next, we constructed 16 different models to predict IgV(H) mutation status and evaluated their performance on an independent test set of 20 new samples. Nine models correctly classified 11 of 11 IgV(H)-mutated cases and eight of nine IgV(H)-unmutated cases, with some models using three to seven genes. Thus, we can classify cases with 95% accuracy based on the expression of as few as three genes.
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