Project description:
Central nervous system lymphoma (CNSL) is a rare subtype of aggressive B-cell lymphoma that remains challenging to treat. A significant proportion of patients suffer from progressive disease or severe toxicities early on. Current risk stratification strategies include clinical factors and magnetic resonance imaging for response evaluation but are insufficient in reliably predicting a patient’s risk of relapse. Here, the team applied circulating tumor (ct)DNA sequencing to blood samples obtained from 67 patients with CNSL. Integrating clinical with molecular features of the disease, they developed and independently validated a novel tool for risk stratification in CNSL: the Molecular Prognostic Index for CNSL (MOP-C). MOP-C is highly predictive of relapse, will be validated in a prospective clinical trial and might thus allow for improved treatment guidance in patients with CNSL.
Publication:
Heger JM, Mattlener J, Schneider J, Gödel P, Sieg N, Ullrich F, Lewis R, Bucaciuc-Mracica T, Schwarz RF, Rueß D, Ruge MI, Montesinos-Rongen M, Deckert M, Blau T, Kutsch N, Balke-Want H, Weiss J, Becker K, Reinhardt HC, Hallek M, Borchmann P, von Tresckow B, Borchmann S. Entirely noninvasive outcome prediction in central nervous system lymphomas using circulating tumor DNA. Blood. 2024 Feb 8;143(6):522-534.
Here you can find the Paper.
Submitting the Paper of the Month:
Else Kröner-Fresenius-Stiftung is using the series “Paper of the Month” to report in an exemplary and hot-off-the-press style on the outstanding work being done by the scientists it supports. We regularly present publications which have recently appeared in especially renowned journals, have emerged from foundation funding and been given appropriate acknowledgment. This is done in the respective categories “Original Paper” and “Review”. In the case of each of these publications, the first author and/or senior author are being funded by the foundation.
We invite all project managers, fellowship recipients and members of graduate study programs to send their work in accordance with the stated criteria as proposal for Paper of the Month to Ms. Anne Asschenfeldt (a.asschenfeldt@ekfs.de).
