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M. Else

As seen in: Nature
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Articles by M. Else

High-risk molecular features may eclipse genomic complexity in predicting chronic lymphocytic leukemia outcomes; UK clinical trial insights

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By H. Stewart Parker, L. Dean Carr, B. K. Stevens, R. Clifford, T. Munir, A. Schuh, R. Walewska, D. M. Baird, D. Bryant, J. A. Gibson, JC Strefford, A. Nilsson-Takeuchi, H. Amarasinghe, L. Kadalayil, M. Else, A. Pettitt, D. G. Oscier, C. Pepper
| Nature Verified
Abstract High genomic complexity (HGC) is linked to poor prognosis in CLL, but its independent prognostic value remains uncertain amid emerging biomarkers. We analysed copy number alterations (CNA) in 495 untreated patients from (immuno)chemotherapy trials (CLL4, ADMIRE, ARCTIC), incorporating IGHV status, telomere length (TL), targeted sequencing and DNA-methylation subtypes.
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