0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessHistologicaltransformation (HT) to diffuse large B-cell lymphoma (DLBCL) is a rare event in Waldenström macroglobulinemia (WM) and is associated with a poor prognosis.1-4 It confers an inferior outcome compared with WM patients without HT.2,3 Most transformed WM patients present with elevated serum lactate dehydrogenase (LDH) levels and extranodal disease.1 Among extranodal sites, the central nervous system (CNS) is one of the most frequently involved sites identified at diagnosis of transformed WM (ranging from 13% to 18%).1,3 However, the prognostic value of CNS involvement is unknown, and the rate of CNS involvement at relapse has not been previously reported in this setting.
Éric Durot, Lukshe Kanagaratnam, Saurabh Zanwar, Elise Toussaint, Efstathios Kastritis, Shirley D’Sa, Miguel Alcoceba, Cécile Tomowiak, Bénédicte Hivert, Caroline Protin, Jithma P. Abeykoon, Josephine M. I. Vos, Anne‐Sophie Michallet, Cyrielle Rodier, Jehan Dupuis, Stéphane Leprêtre, Fatiha Merabet, Xavier Roussel, Jean‐Marc Zini, Caroline Régny, Aisha S Patel, Pierre Morel, Damien Roos‐Weil, Steven P. Treon, Meletios A Dimopoulos, Ramón García‐Sánz, Prashant Kapoor, Jorge J. Castillo, Alain Delmer (2022). High frequency of central nervous system involvement in transformed Waldenström macroglobulinemia. , 6(12), DOI: https://doi.org/10.1182/bloodadvances.2022007331.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2022
Authors
29
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1182/bloodadvances.2022007331
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access