Moreover, MLL frequently hosts international research cooperation directly: For instance through exchange programs, our test procedures and data repositories, but also by allowing guest researchers to shadow the work of our facility and by sitting on national and international work groups.

We also support research institutions around the world to produce new insight in the field of leukemia diagnostics and emergence, as well as in the rollout of new procedures and applications for routine diagnostics in the facilities themselves.


Our research findings are published in international, peer-reviewed journals and feature in conference talks and lectures, as well as in poster presentations and at scientific events.

Haferlach C, Walter W, Stengel A, Meggendorfer M, Hutter S, Kern W, Haferlach T. The diverse landscape of fusion transcripts in 25 different hematological entities. Leuk Lymphoma. 2021.

Haferlach T, Hutter S, Meggendorfer M. Genome Sequencing in Myeloid Cancers. N Engl J Med. 2021;384(25):e106.

Haferlach T. The time has come for next-generation sequencing in routine diagnostic workup in hematology. Haematologica. 2021;106(3):659-661.

Hecht A, Meyer JA, Jann JC, Sockel K, Giagounidis A, Götze KS, Letsch A, Haase D, Schlenk RF, Haferlach T, Schafhausen P, Bug G, Lübbert M, Thol F, Büsche G, Schuler E, Nowak V, Obländer J, Fey S, Müller N, Metzgeroth G, Hofmann WK, Germing U, Nolte F, Reinwald M, Nowak D. Genome-wide DNA methylation analysis pre- and post-lenalidomide treatment in patients with myelodysplastic syndrome with isolated deletion (5q). Ann Hematol. 2021;100(6):1463-1471.

Hershberger CE, Moyer DC, Adema V, Kerr CM, Walter W, Hutter S, Meggendorfer M, Baer C, Kern W, Nadarajah N, Twardziok S, Sekeres MA, Haferlach C, Haferlach T, Maciejewski JP, Padgett RA. Complex landscape of alternative splicing in myeloid neoplasms. Leukemia. 2020;35(4):1108-1120.

Heuser M, Freeman SD, Ossenkoppele GJ, Buccisano F, Hourigan CS, Ngai LL, Tettero JM, Bachas C, Baer C, Béné MC, Buecklein V, Czyz A, Denys B, Dillon R, Feuring-Buske M, Guzman ML, Haferlach T, Han L, Herzig JK, Jorgensen JL, Kern W, Konopleva MY, Lacombe F, Libura M, Majchrzak A, Maurillo L, Ofran Y, Philippé J, Plesa A, Preudhomme C, Ravandi F, Roumier C, Subklewe M, Thol F, van de Loosdrecht AA, van der Reijden BA, Venditti A, Wierzbowska A, Valk PJM, Wood BL, Walter RB, Thiede C, Döhner K, Roboz GJ, Cloos J. 2021 Update Measurable Residual Disease in Acute Myeloid Leukemia: European LeukemiaNet Working Party Consensus Document. Blood. 2021.

Jobanputra V, Wrzeszczynski KO, Buttner R, Caldas C, Cuppen E, Grimmond S, Haferlach T, Mullighan C, Schuh A, Elemento O. Clinical interpretation of whole-genome and whole-transcriptome sequencing for precision oncology. Semin Cancer Biol. 2021.

Kongkiatkamon S, Pagliuca S, Adema V, Nagata Y, Kerr CM, Walter W, Awada H, Hutter S, Gurnari C, Rogers HJ, Meggendorfer M, Saunthararajah Y, Haferlach T, Visconte V, Maciejewski JP. Molecular characterization of the histone acetyltransferase CREBBP/EP300 genes in myeloid neoplasia. Leukemia. 2021.

Lin WY, Fordham SE, Hungate E, Sunter NJ, Elstob C, Xu Y, Park C, Quante A, Strauch K, Gieger C, Skol A, Rahman T, Sucheston-Campbell L, Wang J, Hahn T, Clay-Gilmour AI, Jones GL, Marr HJ, Jackson GH, Menne T, Collin M, Ivey A, Hills RK, Burnett AK, Russell NH, Fitzgibbon J, Larson RA, Le Beau MM, Stock W, Heidenreich O, Alharbi A, Allsup DJ, Houlston RS, Norden J, Dickinson AM, Douglas E, Lendrem C, Daly AK, Palm L, Piechocki K, Jeffries S, Bornhäuser M, Röllig C, Altmann H, Ruhnke L, Kunadt D, Wagenführ L, Cordell HJ, Darlay R, Andersen MK, Fontana MC, Martinelli G, Marconi G, Sanz MA, Cervera J, Gómez-Seguí I, Cluzeau T, Moreilhon C, Raynaud S, Sill H, Voso MT, Lo-Coco F, Dombret H, Cheok M, Preudhomme C, Gale RE, Linch D, Gaal-Wesinger J, Masszi A, Nowak D, Hofmann WK, Gilkes A, Porkka K, Milosevic Feenstra JD, Kralovics R, Grimwade D, Meggendorfer M, Haferlach T, Krizsán S, Bödör C, Stölzel F, Onel K, Allan JM. Genome-wide association study identifies susceptibility loci for acute myeloid leukemia. Nat Commun. 2021;12(1):6233.

Mallesh N, Zhao M, Meintker L, Höllein A, Elsner F, Lüling H, Haferlach T, Kern W, Westermann J, Brossart P, Krause SW, Krawitz PM. Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. Patterns (N Y). 2021;2(10):100351.

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