AG Raffel - Emmy Noether Programm

To study fundamental biologic properties of LSCs, we characterized patient-derived LSC and blast populations as well as healthy blood stem cells by quantitative multiplex proteomic analyses and RNA-Sequencing (Raffel et al., Nature 2017; Raffel et al., Blood 2020). As there is no universal phenotypic definition of LSCs, we analyzed their functional capacity to re-initiate the leukemia after xenotransplantation into immuno-compromised mice (Figure 1A). This in vivo assay remains the gold standard for the detection of LSCs. Our data underscores the difficulties in identifying reliable LSC markers that can be exploited for diagnostics or antibody-based therapies. The proteome is particularly powerful in evaluating metabolic properties (Figure 1B). We identified several metabolic pathways in LSCs, such as oxidative phosphorylation, phospholipid and fatty acid metabolism as well as degradation of branched chain amino acids (BCAA). BCAA degradation by BCAT1 plays a critical role for alpha-ketoglutarate (αKG) homeostasis. αKG is an essential co-substrate for cellular dioxygenases, which control a broad range of cellular functions. Suppression of αKG-dependent enzymes constitutes a common feature of AML and, next to mutations in IDH and TET2, we identified the BCAA–BCAT1–αKG axis as an alternative, non-genetic mechanism in LSCs to control the activity of these enzymes (Figure 1C).

We are currently exploring specific vulnerabilities in energy, amino acid, and lipid metabolism in LSCs. We apply state-of-the-art technologies in primary AML specimen, including targeted and untargeted metabolomics, lipidomics, proteomics, single-cell multiomics, CRISPR gene knockouts, lentivirus-mediated knockdown or overexpression, stromal co-cultures, and in vivo experiments. We have access to large clinical cohorts and the biobank of our clinic.

Figure 2: Combined transcriptomic and functional single cell approach to study the human healthy and malignant hematopoietic system.

Using single cell sequencing technologies, heterogeneity can be resolved from complex mixtures of cells. As LSCs require a functional assay, we developed a platform for simultaneous single-cell transcriptomic and single-cell culture analyses (Velten*, Haas*, Raffel* et al., Nature Cell Biology 2017). By index-FACS sorting and mathematical modeling, gene expression analysis (which requires lysis of cells) and single cell culture assays (which require living cells) can be quantitatively linked at single cell resolution (Figure 2).

In ongoing experiments, we unite our biomedical and technological expertise to study fundamental aspects of metabolism, gene expression, clonal heterogeneity, and stem cell function of LSCs at the single cell level. We combine flow cytometric analysis of metabolic properties and surface marker expression with transcriptomic, mutational, and functional data at the single cell level. The application of index-FACS sort strategies and mathematical modeling enables us to integrate all these properties simultaneously in single cells. This will help to de-convolute heterogeneity, detect, and define putative markers for true LSCs, and identify targets to interfere with specific metabolic pathways characteristic for LSCs.

Furthermore, together with our close collaborators Simon Haas (Charite, Berlin) and Lars Velten (CRG, Barcelona) we perform comprehensive single cell analyses from large cohorts of AML patient samples of all different AML subtypes applying CITE-seq technologies and spectral flow cytometry.

More recently, we broadened our focus and apply the above-mentioned technologies to other hematologic diseases, including acute lymphoblastic leukemia (ALL).

LSC biology is driven by genetic, epigenetic and metabolic alterations that promote LSC function. Besides these cell-intrinsic properties, LSCs are likely to escape surveillance of the immune system in order to promote tumorigenesis. Immune-checkpoint blockade has revolutionized therapeutic concepts in solid tumors. However, these T cell related checkpoints only play a minor role in AML. Therefore, we analyzed the NKG2D/NKG2DL-axis (natural killer group 2 member D and its ligands), which is a critical mediator of anti-tumor immunity by NK cells (Paczulla*, Rothfelder*, Raffel* et al., Nature 2019). Functional LSCs are characterized by the absence of NKG2D-ligands, which renders them “invisible” for NK cells. Polyclonal NK cells (pNKC) can kill AML blasts but not LSCs (Figure 3A). We identify PARP1 as critical regulator of NKG2DL expression in AML and chemical PARP1 inhibition induces NKG2DL expression on the surface of LSCs, which subsequently can be killed by pNKC transfer (Figure 3B). Treatment of mice transplanted with human AML cells with PARP1 inhibitors, followed by administration of pNKC, inhibited long-term in vivo leukemogenesis. These observations are of particular interest because PARP1 inhibitors are widely used for other indications in clinical practice. Based on our results, we have now initiated a clinical trial at our clinic with the combination treatment of PARP1 inhibition followed by pNKC transfusion aiming to eradicate LSC that otherwise evade the control of the immune system (NAKIP-AML, NCT05319249 (link: www.clinicaltrials.gov/ct2/show/NCT05319249), LKP: Prof. C. Müller-Tidow).

In ongoing projects, we aim to render LSCs even more susceptible to immunotherapy by optimizing pharmacological induction of NKG2DL expression, identification of co-upregulated surface antigens, and targeting both NKG2DL and the identified antigens using a combined CAR-NK/CAR-T cell product.

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  PD Dr. med. Simon Raffel

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  Hämatologie und Onkologie, Akute lymphatische Leukämie (ALL)

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  Katrin Barth-Miesala

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  Eleni Besiridou

  PhD student

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  Lilly Chung

  MD student

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  Aykut Demir

  PhD student

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  Michael Kardorff

  PhD Student

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  Maximilian Mönnig

  MD student

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  Magdalena Pajonk

  PhD student

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  Dr. med. Valentin Schmidt

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Raffel S, Velten L and Haas S (2022). "Cellular hierarchies predict drug response in acute myeloid leukemia." Cancer Cell 40(9): 917-919.

Zhou F, Aroua N, Liu Y, Rohde C, Cheng J, Wirth AK, Fijalkowska D, Gollner S, Lotze M, Yun H, Yu X, Pabst C, Sauer T, Oellerich T, Serve H, Rollig C, Bornhauser M, Thiede C, Baldus C, Frye M, Raffel S, Krijgsveld J, Jeremias I, Beckmann R, Trumpp A and Muller-Tidow C (2022). "A dynamic rRNA ribomethylome drives stemness in acute myeloid leukemia." Cancer Discov.

Kotrova M, Koopmann J, Trautmann H, Alakel N, Beck J, Nachtkamp K, Steffen B, Raffel S, Viardot A, Wethmar K, Darzentas N, Baldus CD, Gokbuget N and Bruggemann M (2022). "Prognostic value of low-level MRD in adult acute lymphoblastic leukemia detected by low- and high-throughput methods." Blood Adv 6(10): 3006-3010.

Janssen M, Schmidt C, Bruch PM, Blank MF, Rohde C, Waclawiczek A, Heid D, Renders S, Gollner S, Vierbaum L, Besenbeck B, Herbst SA, Knoll M, Kolb C, Przybylla A, Weidenauer K, Ludwig AK, Fabre M, Gu M, Schlenk RF, Stolzel F, Bornhauser M, Rollig C, Platzbecker U, Baldus C, Serve H, Sauer T, Raffel S, Pabst C, Vassiliou G, Vick B, Jeremias I, Trumpp A, Krijgsveld J, Muller-Tidow C and Dietrich S (2022). "Venetoclax synergizes with gilteritinib in FLT3 wild-type high-risk acute myeloid leukemia by suppressing MCL-1." Blood 140(24): 2594-2610.

Hernandez-Malmierca P, Vonficht D, Schnell A, Uckelmann HJ, Bollhagen A, Mahmoud MAA, Landua SL, van der Salm E, Trautmann CL, Raffel S, Grunschlager F, Lutz R, Ghosh M, Renders S, Correia N, Donato E, Dixon KO, Hirche C, Andresen C, Robens C, Werner PS, Boch T, Eisel D, Osen W, Pilz F, Przybylla A, Klein C, Buchholz F, Milsom MD, Essers MAG, Eichmuller SB, Hofmann WK, Nowak D, Hubschmann D, Hundemer M, Thiede C, Bullinger L, Muller-Tidow C, Armstrong SA, Trumpp A, Kuchroo VK and Haas S (2022). "Antigen presentation safeguards the integrity of the hematopoietic stem cell pool." Cell Stem Cell 29(5): 760-775 e710.

Velten L*, Story BA*, Hernandez-Malmierca P*, Raffel S, Leonce DR, Milbank J, Paulsen M, Demir A, Szu-Tu C, Fromel R, Lutz C, Nowak D, Jann JC, Pabst C, Boch T, Hofmann WK, Muller-Tidow C, Trumpp A, Haas S and Steinmetz LM (2021). "Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics." Nat Commun 12(1): 1366. *equal contribution

Triana S*, Vonficht D*, Jopp-Saile L*, Raffel S, Lutz R, Leonce D, Antes M, Hernandez-Malmierca P, Ordonez-Rueda D, Ramasz B, Boch T, Jann JC, Nowak D, Hofmann WK, Muller-Tidow C, Hubschmann D, Alexandrov T, Benes V, Trumpp A, Paulsen M, Velten L and Haas S (2021). "Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states." Nat Immunol 22(12): 1577-1589. *equal contribution

Saeed BR, Manta L, Raffel S, Pyl PT, Buss EC, Wang W, Eckstein V, Jauch A, Trumpp A, Huber W, Ho AD and Lutz C (2021). "Analysis of nonleukemic cellular subcompartments reconstructs clonal evolution of acute myeloid leukemia and identifies therapy-resistant preleukemic clones." Int J Cancer 148(11): 2825-2838.

Raffel S, Klimmeck D, Falcone M, Demir A, Pouya A, Zeisberger P, Lutz C, Tinelli M, Bischel O, Bullinger L, Thiede C, Florcken A, Westermann J, Ehninger G, Ho AD, Muller-Tidow C, Gu Z, Herrmann C, Krijgsveld J, Trumpp A and Hansson J (2020). "Quantitative proteomics reveals specific metabolic features of acute myeloid leukemia stem cells." Blood 136(13): 1507-1519.

Poisa-Beiro L, Thoma J, Landry J, Sauer S, Yamamoto A, Eckstein V, Romanov N, Raffel S, Hoffmann GF, Bork P, Benes V, Gavin AC, Tanaka M and Ho AD (2020). "Glycogen accumulation, central carbon metabolism, and aging of hematopoietic stem and progenitor cells." Sci Rep 10(1): 11597.

Paczulla AM*, Rothfelder K*, Raffel S*, Konantz M, Steinbacher J, Wang H, Tandler C, Mbarga M, Schaefer T, Falcone M, Nievergall E, Dorfel D, Hanns P, Passweg JR, Lutz C, Schwaller J, Zeiser R, Blazar BR, Caligiuri MA, Dirnhofer S, Lundberg P, Kanz L, Quintanilla-Martinez L, Steinle A, Trumpp A, Salih HR and Lengerke C (2019). "Absence of NKG2D ligands defines leukaemia stem cells and mediates their immune evasion." Nature 572(7768): 254-259. *equal contribution

Raffel S*, Falcone M*, Kneisel N*, Hansson J, Wang W, Lutz C, Bullinger L, Poschet G, Nonnenmacher Y, Barnert A, Bahr C, Zeisberger P, Przybylla A, Sohn M, Tonjes M, Erez A, Adler L, Jensen P, Scholl C, Frohling S, Cocciardi S, Wuchter P, Thiede C, Florcken A, Westermann J, Ehninger G, Lichter P, Hiller K, Hell R, Herrmann C, Ho AD, Krijgsveld J, Radlwimmer B and Trumpp A (2017). "BCAT1 restricts alphaKG levels in AML stem cells leading to IDHmut-like DNA hypermethylation." Nature 551(7680): 384-388. *equal contribution

Varano G*, Raffel S*, Sormani M, Zanardi F, Lonardi S, Zasada C, Perucho L, Petrocelli V, Haake A, Lee AK, Bugatti M, Paul U, Van Anken E, Pasqualucci L, Rabadan R, Siebert R, Kempa S, Ponzoni M, Facchetti F, Rajewsky K and Casola S (2017). "The B-cell receptor controls fitness of MYC-driven lymphoma cells via GSK3beta inhibition." Nature 546(7657): 302-306. *equal contribution

Velten L*, Haas SF*, Raffel S*, Blaszkiewicz S, Islam S, Hennig BP, Hirche C, Lutz C, Buss EC, Nowak D, Boch T, Hofmann WK, Ho AD, Huber W, Trumpp A, Essers MA and Steinmetz LM (2017). "Human haematopoietic stem cell lineage commitment is a continuous process." Nat Cell Biol 19(4): 271-281. *equal contribution

Wang W, Stiehl T, Raffel S, Hoang VT, Hoffmann I, Poisa-Beiro L, Saeed BR, Blume R, Manta L, Eckstein V, Bochtler T, Wuchter P, Essers M, Jauch A, Trumpp A, Marciniak-Czochra A, Ho AD and Lutz C (2017). "Reduced hematopoietic stem cell frequency predicts outcome in acute myeloid leukemia." Haematologica 102(9): 1567-1577.

Raffel S and Trumpp A (2016). "miR-126 Drives Quiescence and Self-Renewal in Leukemic Stem Cells." Cancer Cell 29(2): 133-135.

Stockklausner C*, Raffel S*, Klermund J, Bandapalli OR, Beier F, Brummendorf TH, Burger F, Sauer SW, Hoffmann GF, Lorenz H, Tagliaferri L, Nowak D, Hofmann WK, Buergermeister R, Kerber C, Rausch T, Korbel JO, Luke B, Trumpp A and Kulozik AE (2015). "A novel autosomal recessive TERT T1129P mutation in a dyskeratosis congenita family leads to cellular senescence and loss of CD34+ hematopoietic stem cells not reversible by mTOR-inhibition." Aging (Albany NY) 7(11): 911-927. *equal contribution

Hoang VT, Buss EC, Wang W, Hoffmann I, Raffel S, Zepeda-Moreno A, Baran N, Wuchter P, Eckstein V, Trumpp A, Jauch A, Ho AD and Lutz C (2015). "The rarity of ALDH(+) cells is the key to separation of normal versus leukemia stem cells by ALDH activity in AML patients." Int J Cancer 137(3): 525-536.

Medyouf H, Mossner M, Jann JC, Nolte F, Raffel S, Herrmann C, Lier A, Eisen C, Nowak V, Zens B, Mudder K, Klein C, Oblander J, Fey S, Vogler J, Fabarius A, Riedl E, Roehl H, Kohlmann A, Staller M, Haferlach C, Muller N, John T, Platzbecker U, Metzgeroth G, Hofmann WK, Trumpp A and Nowak D (2014). "Myelodysplastic cells in patients reprogram mesenchymal stromal cells to establish a transplantable stem cell niche disease unit." Cell Stem Cell 14(6): 824-837.

Krestel H, Raffel S, von Lehe M, Jagella C, Moskau-Hartmann S, Becker A, Elger CE, Seeburg PH and Nirkko A (2013). "Differences between RNA and DNA due to RNA editing in temporal lobe epilepsy." Neurobiol Dis 56: 66-73.

Jager N, Schlesner M, Jones DT, Raffel S, Mallm JP, Junge KM, Weichenhan D, Bauer T, Ishaque N, Kool M, Northcott PA, Korshunov A, Drews RM, Koster J, Versteeg R, Richter J, Hummel M, Mack SC, Taylor MD, Witt H, Swartman B, Schulte-Bockholt D, Sultan M, Yaspo ML, Lehrach H, Hutter B, Brors B, Wolf S, Plass C, Siebert R, Trumpp A, Rippe K, Lehmann I, Lichter P, Pfister SM and Eils R (2013). "Hypermutation of the inactive X chromosome is a frequent event in cancer." Cell 155(3): 567-581.

Klimmeck D, Hansson J, Raffel S, Vakhrushev SY, Trumpp A and Krijgsveld J (2012). "Proteomic cornerstones of hematopoietic stem cell differentiation: distinct signatures of multipotent progenitors and myeloid committed cells." Mol Cell Proteomics 11(8): 286-302.