scholarly journals Gene expression and risk of leukemic transformation in myelodysplasia

Blood ◽  
2017 ◽  
Vol 130 (24) ◽  
pp. 2642-2653 ◽  
Author(s):  
Yusuke Shiozawa ◽  
Luca Malcovati ◽  
Anna Gallì ◽  
Andrea Pellagatti ◽  
Mohsen Karimi ◽  
...  

Key Points Through a comprehensive transcriptomic analysis, we discovered 2 major subgroups of myelodysplasia defined by gene expression profiles. The gene expression–based subgroups had independent prognostic value, which was validated in an external cohort.

2021 ◽  
Vol 5 (7) ◽  
pp. 1791-1796
Author(s):  
L. Alexander Liggett ◽  
Matthew D. Galbraith ◽  
Keith P. Smith ◽  
Kelly D. Sullivan ◽  
Ross E. Granrath ◽  
...  

Key Points Children with Down syndrome develop early signs of clonal evolution that resemble traditional clonal hematopoiesis. Children with trisomy 21 who exhibit clonal hematopoiesis display cytokine and gene expression profiles indicative of disrupted immunity.


Blood ◽  
2016 ◽  
Vol 127 (15) ◽  
pp. 1896-1906 ◽  
Author(s):  
Bruno Paiva ◽  
Luis A. Corchete ◽  
Maria-Belen Vidriales ◽  
Noemi Puig ◽  
Patricia Maiso ◽  
...  

Key Points We report for the first time the biological features of MRD cells in MM and unravel that clonal selection is already present at the MRD stage. MRD cells show a singular phenotypic signature that may result from persisting clones with different genetic and gene expression profiles.


Blood ◽  
2014 ◽  
Vol 123 (6) ◽  
pp. 894-904 ◽  
Author(s):  
Nicolas Rapin ◽  
Frederik Otzen Bagger ◽  
Johan Jendholm ◽  
Helena Mora-Jensen ◽  
Anders Krogh ◽  
...  

Key Points This study describes a method for the comparison of gene expression data of any type of cancer cells with their corresponding normal cells. Our analyses reveal novel disease entities, identify common deregulated transcriptional networks, and predict survival.


Blood ◽  
2015 ◽  
Vol 125 (1) ◽  
pp. 133-139 ◽  
Author(s):  
Stefan Gröschel ◽  
Mathijs A. Sanders ◽  
Remco Hoogenboezem ◽  
Annelieke Zeilemaker ◽  
Marije Havermans ◽  
...  

Key Points inv(3)/t(3;3) disease exhibits high rates of activated RAS/RTK signaling, epigenetic modifier, splice, and transcription factor mutations. AML and MDS with inv(3)/t(3;3) display similar mutational and gene expression profiles and should be considered a single molecular entity.


Life Sciences ◽  
2017 ◽  
Vol 170 ◽  
pp. 41-49 ◽  
Author(s):  
Hongfei Tong ◽  
Jisheng Wang ◽  
Hui Chen ◽  
Zhaohong Wang ◽  
Henwei Fan ◽  
...  

Blood ◽  
2013 ◽  
Vol 121 (7) ◽  
pp. 1136-1144 ◽  
Author(s):  
Haitao Hu ◽  
Martin Nau ◽  
Phil Ehrenberg ◽  
Agnes-Laurence Chenine ◽  
Camila Macedo ◽  
...  

Key PointsDifferent pathogen-specific CD4 T cells manifest remarkable difference in susceptibility to HIV infection. Distinct gene-expression profiles of pathogen-specific CD4 T cells are associated with their susceptibilities to HIV infection.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10504-10504
Author(s):  
Bianca Mostert ◽  
Anieta M Sieuwerts ◽  
Jaco Kraan ◽  
Joan Bolt-de Vries ◽  
Dieter Peeters ◽  
...  

10504 Background: A circulating tumor cell (CTC) count is an established prognostic factor in metastatic breast cancer. Besides enumeration, CTC characterization promises to further improve outcome prediction and treatment guidance. We have previously shown the feasibility of measuring the expression of a panel of 96 clinically relevant genes in CTCs in a leukocyte background, and in the current study, we determined the prognostic value of CTC gene expression profiling in metastatic breast cancer. Methods: CTCs were isolated and enumerated from blood of 130 metastatic breast cancer patients prior to start of first-line systemic, endocrine or chemotherapeutic, therapy. Of these, 103 were evaluable for mRNA gene expression levels measured by quantitative RT-PCR in relation to time to treatment switch (TTS). Separate prognostic CTC gene profiles were generated by leave-one-out cross validation for all patients and for patients with ≥5 CTCs per 7.5 mL blood, and cut-offs were chosen to ensure optimal prediction of patients who might benefit from an early therapy switch. Results: In the total cohort, of whom 56% received chemotherapeutic and 44% endocrine therapy, baseline CTC count (≥5 versus <5 CTCs/7.5 mL blood) predicted for TTS (Hazard Ratio (HR) 2.92 [95% Confidence Interval (CI) 1.71 – 4.95] P <0.0001). A 16-gene CTC profile for all patients and a separate 9-gene CTC profile applicable for patients with ≥5 CTCs were identified, which distinguished those patients with TTS or death within 9 months from those with a more favorable outcome. Test performance for both profiles was favorable; the 16-gene profile had 90% sensitivity, 38% specificity, 50% positive predictive value (PPV) and 85% negative predictive value (NPV), and the 9-gene profile performed slightly better at 92% sensitivity, 52% specificity, 66% PPV and 87% NPV. In multivariate Cox regression analysis, the 16-gene profile was the only factor independently associated with TTS (HR 3.15 [95%CI 1.35 – 7.33] P 0.008). Conclusions: Two CTC gene expression profiles were discovered, which provide prognostic value in metastatic breast cancer patients. This study further underscores the potential of molecular characterization of CTCs.


Blood ◽  
2013 ◽  
Vol 121 (24) ◽  
pp. 4884-4893 ◽  
Author(s):  
Angell Shieh ◽  
Ashley F. Ward ◽  
Kegan L. Donlan ◽  
Emily R. Harding-Theobald ◽  
Jin Xu ◽  
...  

Key Points Defective Ras oncoproteins initiate T-ALL. Murine T-ALLs lacking PTEN have gene expression profiles similar to human early T-cell precursor ALL and are resistant to MEK inhibition.


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