Approaches to Target Discovery
To generate hypotheses for target discovery, we build on clinical outcome predictors: in collaboration with multiple study groups across the US, we have developed and validated phenotypic biomarkers of favorable and poor clinical outcomes in B-cell acute lymphoblastic leukemia (B-ALL), chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL) and integrated these markers into models of oncogenic signaling pathways (Chan et al., 2017).
As part of the NCI CTEP ‘Human Hematopoiesis and Leukemia PDX’ program, our lab developed patient-derived xenografts resources to model B-cell malignancies based on patient-derived cells and cord blood-based humanized mouse models to study mechanisms of human B-lymphopoiesis in vivo. To identify potential B-cell-specific vulnerabilities, we have developed a bioinformatic target-discovery resource (Müschen, 2018; Müschen, 2019) based on mutation and gene expression data from over 160 clinical trials, covering 39 cancer types and more than 25,000 patients. To exemplify the usefulness of this platform, an integrated analysis of these data sets led to the discovery that common genetic lesions promoting PI3K-activation in cancer were strongly counterselected in 2,375 B-ALL, CLL and MCL cases studied.
Functional follow-up studies revealed that these B-cell malignancies are uniquely sensitive to PI3K-hyperactivation, an unexpected vulnerability that we are currently pursuing for therapeutic targeting. Based on recent discoveries, the Müschen lab will focus on a new ‘B-cell selection paradigm’ for the treatment of B-cell malignancies to target thresholds of oncogenic signaling-strength instead of traditional approaches that are exclusively focused on suppression of oncogene activity.
Design of kinase-superagonists to induce negative B-cell selection
We discovered multiple drug-targets for this approach, including inhibitory phosphatases that balance oncogenic signaling strength in B-cell tumors. Small molecule-inhibitors of the SHIP1- and PTEN phosphatases have shown the greatest promise so far (Chen et al., 2015; Shojaee et al., 2016). In addition, we identified SYK-hyperactivation at the apex of the BCR-signaling cascade as a central driver of negative selection.
Hence, our lab is pursuing the design and development of SYK-superagonists that lock SYK in an open conformation to break constitutive autoinhibition of this kinase.
Leveraging B-cell selection to short-circuit clonal evolution and relapse
Despite substantially improved outcomes, drug-resistance and relapse of refractory disease remain central problems in the treatment of patients with B-cell malignancies. Current treatment regimens use agents that apply selective pressure in only one direction (kinase-inhibition). Contrary to this tenet, we propose the new concept based on sequential treatment regimens that alternate between kinase-inhibitors and superagonists.
By sequentially applying selective pressures in opposite directions, this approach will subvert Darwinian selection for drug-resistant mutants (Figure 2).
While one-directional treatment-regimens are effective in solid tumors and myeloid disorders, this bi-directional approach harnesses the Goldilocks-nature of B-cell-selection to subvert mechanisms of clonal evolution (Swaminathan et al., 2015).
Why are B-cells uniquely sensitive to kinase-hyperactivation?
Macrophages are not at risk to express autoantibodies and, hence, not subject to negative selection. To test B-cell-specificity, we overexpressed the transcription factor CEBPα to reprogram B-cells into macrophages, which abolished negative selection and sensitivity to kinase-hyperactivation (Chen et al., 2015; Shojaee et al., 2016).
Hence, we will explore why B-cells, but not other cell-types are sensitive to kinase hyperactivation. This work will assume the new concept that B-cell selection is driven by lineage-specific regulation of energy abundance, a mechanism termed ‘metabolic gatekeeper’.
Metabolic gatekeepers as a single mechanism to clear autoreactive and (pre-)malignant B-cells
In the presence of intact metabolic gatekeepers, prolonged kinase-hyperactivation, downstream of an autoreactive BCR or an oncogene, will exhaust ATP-reserves, resulting in energy-stress and negative selection (Figure 3).
Since no other cells produce autoantibodies, we hypothesize that mechanisms to remove autoreactive B-cells are not only driven by B-cell transcription factors (PAX5, IKZF1) but also determined by features that distinguish B-cells from other cells, namely smaller size, fewer mitochondria, and a faster cell division-rate than any other cell-type.
Recent findings by the Müschen laboratory suggested that B-cells are, by default, in a state of chronic energy-depletion as a result of unique morphological, transcriptional and biochemical characteristics (Chan et al., 2017; Schjerven et al., 2017; Xiao et al., 2018; Sadras et al., 2021; Pan et al., 2021).