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Functional precision medicine is a new, emerging area that can guide cancer treatment by capturing information from direct perturbations of tumor-derived, living cells, such as by drug sensitivity screening. Precision cancer medicine as currently implemented in clinical practice has been driven by genomics, and current molecular tumor boards rely extensively on genomic characterization to advise on therapeutic interventions. However, genomic biomarkers can only guide treatment decisions for a fraction of the patients. In this review we provide an overview of the current state of functional precision medicine, highlight advances for drug-sensitivity screening enabled by cell culture models, and discuss how artificial intelligence (AI) can be coupled to functional precision medicine to guide patient stratification.

Supplementary Figure from Functional Testing to Characterize and Stratify PI3K Inhibitor Responses in Chronic Lymphocytic Leukemia

Supplementary Table from Functional Testing to Characterize and Stratify PI3K Inhibitor Responses in Chronic Lymphocytic Leukemia

Purpose:PI3K inhibitors (PI3Ki) are approved for relapsed chronic lymphocytic leukemia (CLL). Although patients may show an initial response to these therapies, development of treatment intolerance or resistance remain clinical challenges. To overcome these, prediction of individual treatment responses based on actionable biomarkers is needed. Here, we characterized the activity and cellular effects of 10 PI3Ki and investigated whether functional analyses can identify treatment vulnerabilities in PI3Ki-refractory/intolerant CLL and stratify responders to PI3Ki.Experimental Design:Peripheral blood mononuclear cell samples (n = 51 in total) from treatment-naïve and PI3Ki-treated patients with CLL were studied. Cells were profiled against 10 PI3Ki and the Bcl-2 antagonist venetoclax. Cell signaling and immune phenotypes were analyzed by flow cytometry. Cell viability was monitored by detection of cleaved caspase-3 and the CellTiter-Glo assay.Results:pan-PI3Kis were most effective at inhibiting PI3K signaling and cell viability, and showed activity in CLL cells from both treatment-naïve and idelalisib-refractory/intolerant patients. CLL cells from idelalisib-refractory/intolerant patients showed overall reduced protein phosphorylation levels. The pan-PI3Ki copanlisib, but not the p110δ inhibitor idelalisib, inhibited PI3K signaling in CD4+ and CD8+ T cells in addition to CD19+ B cells, but did not significantly affect T-cell numbers. Combination treatment with a PI3Ki and venetoclax resulted in synergistic induction of apoptosis. Analysis of drug sensitivities to 73 drug combinations and profiling of 31 proteins stratified responders to idelalisib and umbralisib, respectively.Conclusions:Our findings suggest novel treatment vulnerabilities in idelalisib-refractory/intolerant CLL, and indicate that ex vivo functional profiling may stratify PI3Ki responders.

Bruton tyrosine kinase (BTK) is essential for B-cell receptor (BCR) signaling, a driver of chronic lymphocytic leukemia (CLL). Covalent inhibitors bind C481 in the active site of BTK and have become a preferred CLL therapy. Disease progression on covalent BTK inhibitors is commonly associated with C481 mutations. Here, we investigated a targeted protein degrader, NRX-0492, that links a noncovalent BTK-binding domain to cereblon, an adaptor protein of the E3 ubiquitin ligase complex. NRX-0492 selectively catalyzes ubiquitylation and proteasomal degradation of BTK. In primary CLL cells, NRX-0492 induced rapid and sustained degradation of both wild-type and C481 mutant BTK at half maximal degradation concentration (DC50) of ≤0.2 nM and DC90 of ≤0.5 nM, respectively. Sustained degrader activity was maintained for at least 24 hours after washout and was equally observed in high-risk (deletion 17p) and standard-risk (deletion 13q only) CLL subtypes. In in vitro testing against treatment-naïve CLL samples, NRX-0492 was as effective as ibrutinib at inhibiting BCR-mediated signaling, transcriptional programs, and chemokine secretion. In patient-derived xenografts, orally administered NRX-0492 induced BTK degradation and inhibited activation and proliferation of CLL cells in blood and spleen and remained efficacious against primary C481S mutant CLL cells collected from a patient progressing on ibrutinib. Oral bioavailability, >90% degradation of BTK at subnanomolar concentrations, and sustained pharmacodynamic effects after drug clearance make this class of targeted protein degraders uniquely suitable for clinical translation, in particular as a strategy to overcome BTK inhibitor resistance. Clinical studies testing this approach have been initiated (NCT04830137, NCT05131022).

As patients continue to live longer with chronic lymphocytic leukemia, it has become evident that there is an unmet treatment need for patients who have progressed on multiple lines of therapy. In this article, we attempt to define the "double refractory" patient as resistant to both Bruton's tyrosine kinase inhibitors (BTKi) and venetoclax for which prognosis is poor and there remains no standard of care. We further examine the mechanism of resistance to these targeted agents and discuss the current landscape for managing this patient population. Finally, we explore data supporting promising new agents, including non-covalent BTKi, chimeric antigen receptor T cells, and additional classes of agents currently in development.

Chronic lymphocytic leukemia (CLL) is the most common form of leukemia in Europe and remains incurable. Targeted therapies have revolutionized the treatment of CLL, but many patients develop resistance, have severe side effects or relapse during treatment. In order to prevent ineffective treatment and toxic effects, there is an unmet clinical need for tailoring optimal therapy for each patient. The ERA PerMed project CLL-CLUE will identify novel biomarkers and implement artificial intelligence-based clinical decision support systems to guide treatment decisions. We expect that this will lead to significantly increased treatment efficacy, individualization of therapy and reduced drug use and side effects. In addition, reduced consumption of drugs and cost-effective outcomes will lower financial stress that the health care providers and patients experience. The proposed project will be carried out as a collaborative effort including leading clinical and molecular research groups in CLL in Europe, together with key competence in development of artificial intelligence-based decision support system for blood cancer patients and health economic evaluation in Europe. Here we present the Data Management Plan for the CLL-CLUE consortium. Data sharing between the trans-European project partners is governed by the General Data Protection Regulation (GDPR) and the Data Access Agreement (DAA) between the partners.

In many complex diseases, such as cancers, resistance to monotherapies easily occurs, and longer-term treatment responses often require combinatorial therapies as next-line regimens. However, due to a massive number of possible drug combinations to test, there is a need for systematic and rational approaches to finding safe and effective drug combinations for each individual patient. This protocol describes an ecosystem of computational methods to guide high-throughput combinatorial screening that help experimental researchers to identify optimal drug combinations in terms of synergy, efficacy, and/or selectivity for further preclinical and clinical investigation. The methods are demonstrated in the context of combinatorial screening in primary cells of leukemia patients, where the translational aim is to identify drug combinations that show not only high synergy but also maximal cancer-selectivity. The mechanism-agnostic and cost-effective computational methods are widely applicable to various cancer types, which are amenable to drug testing, as the computational methods take as input only the phenotypic measurements of a subset of drug combinations, without requiring target information or genomic profiles of the patient samples.

Chronic lymphocytic leukaemia (CLL) is characterised by malignant mature-like B cells. Supportive to CLL cell survival is chronic B-cell receptor (BCR) signalling; however, emerging evidence demonstrates CLL cells proliferate in response to T-helper (Th) cells in a CD40L-dependent manner. We showed provision of Th stimulation via CD40L upregulated CD45 phosphatase activity and BCR signalling in non-malignant B cells. Consequently, we hypothesised Th cell upregulation of CLL cell CD45 activity may be an important regulator of CLL BCR signalling and proliferation. Using patient-derived CLL cells in a culture system with activated autologous Th cells, results revealed increases in both Th and CLL cell CD45 activity, which correlated with enhanced downstream antigen receptor signalling and proliferation. Concomitantly increased was the surface expression of Galectin-1, a CD45 ligand, and CD43, a CLL immunophenotypic marker. Galectin-1/CD43 double expression defined a proliferative CLL cell population with enhanced CD45 activity. Targeting either Galectin-1 or CD43 using silencing, pharmacology, or monoclonal antibody strategies dampened CD45 activity and CLL cell proliferation. These results highlight a mechanism where activated Th cells drive CLL cell BCR signalling and proliferation via Galectin-1 and CD43-mediated regulation of CD45 activity, identifying modulation of CD45 phosphatase activity as a potential therapeutic target in CLL.

PurposePhosphatidylinositol 3-kinase inhibitors (PI3Ki) are approved for relapsed chronic lymphocytic leukemia (CLL). While patients may show an initial response, development of treatment intolerance or resistance remains a clinically challenging. Prediction of individual treatment responses based on clinically actionable biomarkers is needed to overcome these challenges. Here, we investigated whetherex vivofunctional responses to targeted therapies can stratify responders to idelalisib and guide precision medicine in CLL.Experimental designCLL cells from treatment naïve, idelalisib-responding, and idelalisib-refractory/intolerant patients (n=33 in total) were profiled against ten PI3Ki and the Bcl-2 antagonist venetoclax. Cell signaling and immune phenotypes were analyzed by flow cytometry. Cell viability was monitored by detection of cleaved caspase-3 and the CellTiter-Glo assay.ResultsAmong the ten PI3Ki studied, pan-PI3Ki were most effective at inhibiting PI3K signaling and cell viability, and they showed activity also in CLL cells from idelalisib-refractory/intolerant patients. The pan-PI3Ki copanlisib, but not the p110δ inhibitor idelalisib, inhibited PI3K signaling in CD4+and CD8+T cells in addition to CD19+B cells, while it did not significantly affect T cell numbers. Combination treatment with a PI3Ki and venetoclax resulted in synergistic induction of apoptosis. Based onex vivodrug sensitivity testing, a relapsed CLL patient was treated with idelalisib plus venetoclax, and the patient achieved a partial response. A more systematic analysis revealed that CLL cells from patients with a long-term response to idelalisib showed significantly higher drug sensitivities to 73 drug combinations at baseline compared to short-term responders.ConclusionsOur findings suggest novel treatment vulnerabilities in idelalisib-refractory/intolerant CLL, and demonstrate thatex vivofunctional profiling may guide precision medicine and predict treatment responses of individual CLL patients.TRANSLATIONAL RELEVANCEThe phosphatidylinositol 3-kinase inhibitors (PI3Ki) idelalisib and duvelisib are approved for relapsed chronic lymphocytic leukemia (CLL), but their use has been limited by severe toxicity and acquired resistance. Identification of biomarkers that predict individual treatment responses, as well as alternative treatment vulnerabilities in PI3Ki refractory/intolerant patients, is needed to optimally tailor CLL therapy. We performed functional analyses of CLL cells from treatment naïve, idelalisib-responding and idelalisib-refractory/intolerant patients to identify clinically actionable biomarkers. We show that CLL cells from idelalisib-refractory/intolerant patients remain sensitive to pan-PI3Ki and PI3Ki plus venetoclax combinations.Ex vivodrug sensitivity testing was used to guide treatment of a relapsed CLL patient who obtained a partial response after idelalisib plus venetoclax therapy. A systematic analysis of drug sensitivities to 73 drug combinations stratified responders to idelalisib using baseline samples from short-term and long-term responders to idelalisib. Our study demonstrates the power of functional precision medicine in relapsed CLL.

Purpose:PI3K inhibitors (PI3Ki) are approved for relapsed chronic lymphocytic leukemia (CLL). Although patients may show an initial response to these therapies, development of treatment intolerance or resistance remain clinical challenges. To overcome these, prediction of individual treatment responses based on actionable biomarkers is needed. Here, we characterized the activity and cellular effects of 10 PI3Ki and investigated whether functional analyses can identify treatment vulnerabilities in PI3Ki-refractory/intolerant CLL and stratify responders to PI3Ki.Experimental Design:Peripheral blood mononuclear cell samples (n = 51 in total) from treatment-naïve and PI3Ki-treated patients with CLL were studied. Cells were profiled against 10 PI3Ki and the Bcl-2 antagonist venetoclax. Cell signaling and immune phenotypes were analyzed by flow cytometry. Cell viability was monitored by detection of cleaved caspase-3 and the CellTiter-Glo assay.Results:pan-PI3Kis were most effective at inhibiting PI3K signaling and cell viability, and showed activity in CLL cells from both treatment-naïve and idelalisib-refractory/intolerant patients. CLL cells from idelalisib-refractory/intolerant patients showed overall reduced protein phosphorylation levels. The pan-PI3Ki copanlisib, but not the p110δ inhibitor idelalisib, inhibited PI3K signaling in CD4+ and CD8+ T cells in addition to CD19+ B cells, but did not significantly affect T-cell numbers. Combination treatment with a PI3Ki and venetoclax resulted in synergistic induction of apoptosis. Analysis of drug sensitivities to 73 drug combinations and profiling of 31 proteins stratified responders to idelalisib and umbralisib, respectively.Conclusions:Our findings suggest novel treatment vulnerabilities in idelalisib-refractory/intolerant CLL, and indicate that ex vivo functional profiling may stratify PI3Ki responders.

Primary sclerosing cholangitis (PSC) is a chronic inflammatory liver disease without clear etiology or effective treatment. Genetic factors contribute to PSC pathogenesis, but so far, no causative mutation has been found. We performed whole-exome sequencing in a family with autosomal dominant inheritance of PSC and identified a heterozygous germline missense mutation in SEMA4D, encoding a K849T variant of CD100. The mutation was located in an evolutionarily conserved, unstructured cytosolic region of CD100 affecting downstream signaling. It was found to alter the function of CD100-expressing cells with a bias toward the T cell compartment that caused increased proliferation and impaired interferon-γ (IFN-γ) production after stimulation. Homologous mutation knock-in mice developed similar IFN-γ impairment in T cells and were more prone to develop severe cholangitis when exposed to 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC) diet. Transfer of wild-type T cells to knock-in mice before and during DDC exposure attenuated cholangitis. Taken together, we identified an inherited mutation in the disordered cytosolic region of CD100 resulting in T cell functional defects. Our findings suggest a protective role for T cells in PSC that might be used therapeutically.

Insight into the critical role of B-cell receptor signaling for the pathogenesis of chronic lymphocytic leukemia (CLL) led to the development of targeted therapies directed at key regulators of cell survival. Agents targeting B-cell lymphoma-2 protein, Bruton’s tyrosine kinase (BTK), and phosphatidylinositol 3-kinase are approved for treatment of CLL, and have significantly improved the disease management. Nevertheless, acquired resistance to the targeted therapies is a challenge still to be resolved. The mechanisms underlying resistance are becoming clearer, and include secondary mutations within the drug target and activation of bypass pathways. This knowledge has allowed development of strategies to prevent and overcome treatment resistance. Approaches to prevent resistance include targeting bypass mechanisms by combination therapies, temporally sequencing of therapies, improved clinical trial designs, and real-time monitoring of patient response. A rational design of drug sequencing may secure effective treatment options at the relapsed setting. Next-generation inhibitors and bispecific antibodies have the potential to overcome resistance to the BTK inhibitor ibrutinib. Immunotherapy, including chimeric antigen receptor-modified T-cell therapy, is explored for relapsed CLL. Here, recent advances that have contributed to the understanding of resistance to targeted therapies in CLL are discussed. Strategies for managing resistance are reviewed, including translational, real-world, and clinical perspectives.

Most patients with chronic lymphocytic leukemia (CLL) initially respond to targeted therapies, but eventually relapse and develop resistance. Novel treatment strategies are therefore needed to improve patient outcomes. Here, we performed direct drug testing on primary CLL cells and identified synergy between eight different mitogen-activated protein kinase kinase (MEK) inhibitors and the B-cell lymphoma 2 (Bcl-2) antagonist venetoclax. Drug sensitivity was independent of immunoglobulin heavy-chain gene variable region (IGVH) and tumor protein p53 (TP53) mutational status, and CLL cells from idelalisib-resistant patients remained sensitive to the treatment. This suggests that combined MEK/Bcl-2 inhibition may be an option for high-risk CLL. To test whether sensitivity could be detected in other B-cell malignancies, we performed drug testing on cell line models of CLL (n = 4), multiple myeloma (MM; n = 8), and mantle cell lymphoma (MCL; n = 7). Like CLL, MM cells were sensitive to the MEK inhibitor trametinib, and synergy was observed with venetoclax. In contrast, MCL cells were unresponsive to MEK inhibition. To investigate the underlying mechanisms of the disease-specific drug sensitivities, we performed flow cytometry-based high-throughput profiling of 31 signaling proteins and regulators of apoptosis in the 19 cell lines. We found that high expression of the antiapoptotic proteins myeloid cell leukemia-1 (Mcl-1) or B-cell lymphoma-extra large (Bcl-xL) predicted low sensitivity to trametinib + venetoclax. The low sensitivity could be overcome by combined treatment with an Mcl-1 or Bcl-xL inhibitor. Our findings suggest that MEK/Bcl-2 inhibition has therapeutic potential in leukemia and myeloma, and demonstrate that protein expression levels can serve as predictive biomarkers for treatment sensitivities.

The B cell receptor (BCR) is a master regulator of B cells, controlling cellular processes such as proliferation, migration and survival. Cell signalling downstream of the BCR is aberrantly activated in the B cell malignancy chronic lymphocytic leukaemia (CLL), supporting the pathophysiology of the disease. This insight has led to development and approval of small molecule inhibitors that target components of the BCR pathway. These advances have greatly improved the management of CLL, but the disease remains incurable. This may partly be explained by the inter‐patient heterogeneity of the disease, also when it comes to treatment responses. Precision medicine is therefore required to optimize treatment and move towards a cure. Here, we discuss how the introduction of BCR signalling inhibitors has facilitated the development of functional in vitro assays to guide clinical treatment decisions on use of the same therapeutic agents in individual patients. The cellular responses to these agents can be analysed in high‐throughput assays such as dynamic BH3 profiling, phospho flow experiments and drug sensitivity screens to identify predictive biomarkers. This progress exemplifies the positive synergy between basal and translational research needed to optimize patient care.

There is a Blood Commentary on this article in this issue., Key Points Both watch-and-wait and treated CLL patients have high mortality rates when admitted for COVID-19. Receiving a BTKi for CLL at COVID-19 diagnosis severe enough to require hospitalization did not influence case fatality rate in this study., Given advanced age, comorbidities, and immune dysfunction, chronic lymphocytic leukemia (CLL) patients may be at particularly high risk of infection and poor outcomes related to coronavirus disease 2019 (COVID-19). Robust analysis of outcomes for CLL patients, particularly examining effects of baseline characteristics and CLL-directed therapy, is critical to optimally manage CLL patients through this evolving pandemic. CLL patients diagnosed with symptomatic COVID-19 across 43 international centers (n = 198) were included. Hospital admission occurred in 90%. Median age at COVID-19 diagnosis was 70.5 years. Median Cumulative Illness Rating Scale score was 8 (range, 4-32). Thirty-nine percent were treatment naive (“watch and wait”), while 61% had received ≥1 CLL-directed therapy (median, 2; range, 1-8). Ninety patients (45%) were receiving active CLL therapy at COVID-19 diagnosis, most commonly Bruton tyrosine kinase inhibitors (BTKi’s; n = 68/90 [76%]). At a median follow-up of 16 days, the overall case fatality rate was 33%, though 25% remain admitted. Watch-and-wait and treated cohorts had similar rates of admission (89% vs 90%), intensive care unit admission (35% vs 36%), intubation (33% vs 25%), and mortality (37% vs 32%). CLL-directed treatment with BTKi’s at COVID-19 diagnosis did not impact survival (case fatality rate, 34% vs 35%), though the BTKi was held during the COVID-19 course for most patients. These data suggest that the subgroup of CLL patients admitted with COVID-19, regardless of disease phase or treatment status, are at high risk of death. Future epidemiologic studies are needed to assess severe acute respiratory syndrome coronavirus 2 infection risk, these data should be validated independently, and randomized studies of BTKi’s in COVID-19 are needed to provide definitive evidence of benefit., Visual Abstract

Chronic lymphocytic leukemia (CLL) has a high incidence and a steeply growing prevalence in the Western world. The heterogeneity of the disease necessitates individual mapping of biology and predicted drug response in each patient as basis for administration of tailored treatments. Cell signaling aberrations may serve as biological indicators for suitable therapy. By applying phospho-specific flow cytometry, we mapped basal and induced phosphorylation levels of 20 phospho-epitopes on proteins relevant to B-cell signaling in B cells from 22 CLL patients and 25 normal controls. The signaling response of the cytostatic drugs fludarabine, doxorubicin and vincristine was also investigated. CLL cells exerted similar or lower basal phosphorylation levels compared to normal B cells, with the exception of STAT3 (pY705) which was increased. Interestingly, STAT3 inhibitors normalized the STAT3 (pY705) level and reduced cell viability. Vincristine treatment significantly modulated phosphorylation levels in CLL cells, while no effect was observed in controls or after fludarabine or doxorubicin treatment. After BCR stimulation, CLL cells showed a tendency towards impaired phosphorylation levels, significant for several of the analyzed proteins. However, the level of Akt (pS473) was more potently induced in IgHV unmutated CLL (UM-CLL) patient samples and was significantly higher than in M-CLL samples. Importantly, the PI3Kδ inhibitor idelalisib potently reversed the effect of anti-IgM on Akt (pS473). Thus, signaling aberrations could be identified by phosphoflow cytometry and aberrant signaling could be normalized by small molecule drugs. This approach can identify relevant drug targets as well as drug effects in the individual patient.

The prescription of drugs for depression is rising rapidly. One of the reasons for this trend is their many off-label uses. Up to one third of all prescriptions are for non-indicated use, which in addition to drug repurposing includes different dosing or duration than those recommended. In this review, we elaborate on what antidepressants can treat besides depression. The five classes of drugs for depression are introduced, and their mechanisms of action and serious side effects are described. The most common off-label uses of antidepressants are discussed, with a special focus on treating eating disorders, sleep problems, smoking cessation and managing chronic pain. Depression is often a comorbidity when antidepressants are chosen as therapy, but good therapeutic effects have been observed for other conditions also when depression is not involved. Finally, a new type of antidepressant developed from the hallucinogenic “party drug” ketamine is briefly introduced. This recent development suggests that antidepressants will keep playing a central role in medicine for years to come.

Recently, several small molecule drugs were approved for treatment of chronic lymphocytic leukemia (CLL), significantly improving patient management. However, knowledge about how to combine these therapies for optimal effects and what patients will best benefit from them is lacking. Here, we show that drug synergies can be identified by single cell signaling analyses. We investigated the effects of idelalisib, ibrutinib, and venetoclax on 35 protein epitopes by phospho flow in CLL cells. The activity of proteins in the B-cell receptor signalosome and the phosphatidylinositol 3-kinase pathway were altered upon drug exposure. Combined treatment with ibrutinib and venetoclax give promising results in clinical studies and we show that this combination exerted synergistic inhibitory effects on cell signaling and cell viability. Cell viability was monitored by flow cytometry and with independent drug sensitivity screens. Our analyses indicate that the standard dosages of ibrutinib and venetoclax can be lowered without loss of efficacy, potentially reducing drug costs, and toxicities. Observed correlation between signaling and viability indicates that signaling molecules could serve as biomarkers to predict response to therapy. We suggest that phospho flow should be considered as a novel approach for dose and synergy prediction in a precision medicine setting for CLL.

Full T cell activation depends on stimulation of the TCR in conjunction with a costimulatory receptor. The involvement of costimulatory molecules is potent, and a mechanistic understanding of how downstream signaling is regulated is required to fully understand T cell responsiveness. In this study, a proteomic approach was taken to identify the interactomes of the coreceptors CD2 and CD28. These coreceptors are both positive regulators of T cell activation, but CD28 less potently induces TCR-proximal signaling. C-terminal Src kinase (CSK), a negative regulator of TCR signaling, was identified as a specific and direct interactor only of activated CD28. CSK is recruited to CD28 upon T cell activation, and the in vitro kinase activity of CSK is enhanced in the presence of phosphorylated CD28. Interruption of the CSK/CD28 interaction prior to TCR/CD28 costimulation induces a signaling response which mimics the more potent CD2-induced TCR-proximal pathway activation. Thus, CD28 functions as a novel adaptor protein for CSK, and CSK regulates signaling downstream of CD28.

Aberrant cell signaling plays a central role in cancer development and progression. Most novel targeted therapies are indeed directed at proteins and protein functions, and cell signaling aberrations may therefore serve as biomarkers to indicate personalized treatment options. As opposed to DNA and RNA analyses, changes in protein activity can more efficiently evaluate the mechanisms underlying drug sensitivity and resistance. Phospho flow cytometry is a powerful technique that measures protein phosphorylation events at the cellular level, an important feature that distinguishes this method from other antibody-based approaches. The method allows for simultaneous analysis of multiple signaling proteins. In combination with fluorescent cell barcoding, larger medium- to high-throughput data-sets can be acquired by standard cytometer hardware in short time. Phospho flow cytometry has applications both in studies of basic biology and in clinical research, including signaling analysis, biomarker discovery and assessment of pharmacodynamics. Here, a detailed experimental protocol is provided for phospho flow analysis of purified peripheral blood mononuclear cells, using chronic lymphocytic leukemia cells as an example.

Phospho flow is a powerful approach to detect cell signaling aberrations, identify biomarkers and assess pharmacodynamics, and can be performed using cryopreserved samples. The effects of cryopreservation on signaling responses and the reproducibility of phospho flow measurements are however unknown in many cell systems. Here, B lymphocytes were isolated from healthy donors and patients with the B cell malignancy chronic lymphocytic leukemia and analyzed by phospho flow using phospho-specific antibodies targeting 20 different protein epitopes. Cells were analyzed both at basal conditions and after activation of cluster of differentiation 40 (CD40) or the B cell receptor. Pharmacodynamics of the novel pathway inhibitor ibrutinib was also assessed. At all conditions, fresh cells were compared to cryopreserved cells. Minimal variation between fresh and frozen samples was detected. Reproducibility was tested by running samples from the same donors in different experiments. The results demonstrate reproducibility across different phospho flow runs and support the use of cryopreserved samples in future phospho flow studies of B lymphocytes.

Full T-cell activation critically depends on the engagement of the TCR (T-cell receptor) in conjunction with a second signal by co-stimulatory receptors that boost the immune response. In the present study we have compared signalling patterns induced by the two co-receptors CD2 and CD28 in human peripheral blood T-cells. These co-receptors were previously suggested to be redundant in function. By a combination of multi-parameter phosphoflow cytometry, phosphokinase arrays and Western blot analyses, we demonstrate that CD2 co-stimulation induces phosphorylation of the TCR-proximal signalling complex, whereas CD28 activates distal signalling molecules, including the transcription factors NF-κB (nuclear factor κB), ATF (activating transcription factor)-2, STAT3/5 (signal transducer and activator of transcription 3/5), p53 and c-Jun. These signalling patterns were conserved in both naïve and effector/memory T-cell subsets. We show that free intracellular Ca2+ and signalling through the PI3K (phosphoinositide 3-kinase)/Akt pathway are required for proper CD28-induced NF-κB activation. The signalling patterns induced by CD2 and CD28 co-stimulation lead to distinct functional immune responses in T-cell proliferation and cytokine production. In conclusion, CD2 and CD28 co-stimulation induces distinct signalling responses and functional outcomes in T-cells.

Recently, several small molecule drugs were approved for treatment of chronic lymphocytic leukemia (CLL), significantly improving patient management. However, knowledge about how to combine these therapies for optimal effects and what patients will best benefit from them is lacking. Here, we show that drug synergies can be identified by single cell signaling analyses. We investigated the effects of idelalisib, ibrutinib, and venetoclax on 35 protein epitopes by phospho flow in CLL cells. The activity of proteins in the B-cell receptor signalosome and the phosphatidylinositol 3-kinase pathway were altered upon drug exposure. Combined treatment with ibrutinib and venetoclax give promising results in clinical studies and we show that this combination exerted synergistic inhibitory effects on cell signaling and cell viability. Cell viability was monitored by flow cytometry and with independent drug sensitivity screens. Our analyses indicate that the standard dosages of ibrutinib and venetoclax can be lowered without loss of efficacy, potentially reducing drug costs, and toxicities. Observed correlation between signaling and viability indicates that signaling molecules could serve as biomarkers to predict response to therapy. We suggest that phospho flow should be considered as a novel approach for dose and synergy prediction in a precision medicine setting for CLL.

Introduction Chronic Lymphocytic Leukemia (CLL) is the most common leukemia in adults and is currently considered incurable. Although current treatment regimens prolong life for patients, CLL eventually relapses. Efficient therapies may require a personalized approach that combines targeting cancer cells and the tumor microenvironment by restoring the patient's own anti-tumor immunity. However, a major limitation is that no efficient approach exists to identify the most effective drugs for each patient and cancer stage. With the aim to support future introduction of individualized treatment for patients, we assessed the sensitivity of CLL patient samples to several drug candidates using our in vitro functional drug sensitivity screening platform. Methods We have established novel in vitro culture settings that mimic the CLL tumor microenvironment and allow proliferation of CLL cells for 5 days. Using our unique method, we performed drug screening on 26 patient samples and 10 healthy donors against a customized, annotated library of 516 drugs including kinase inhibitors, proteasome inhibitors, B-cell pathway inhibitors and several other approved drug classes. Primary patient samples were cultured in 384 well-plates with the presence of individual drugs over a concentration range over 5 logs. Drug sensitivity was assessed using CellTiter-Glo® luminescent cell viability assay and CellTox™ green cytotoxicity assay on day 5. Drug Sensitivity Score (DSS) was then calculated for each drug using the IC50 value, slope and area under the curve (AUC). DSSs for CLL patient samples were next compared with DSS of healthy donors for the full patient sample cohort screened so far to generate a selective DSS (sDSS = DSSpatient - DSShealthy) for each patient. Drugs which have sDSS >5 were considered clearly more effective for patient samples in the in vitro test system. CLL samples were assessed for sDSS using our screening data and we ranked all the drugs by their score. Results In order to find drug candidates for targeted therapies in CLL patients, we performed in vitro drug sensitivity screening on 13 IgVH unmutated and 13 IgVH mutated CLL patient samples, as well as 10 healthy donors (due to the lower number of cells healthy donors were pooled into two samples of 5 donors each). Our in vitro assay showed that proteasome inhibitors, kinase inhibitors and several approved CLL drug candidates were considered sensitive in the majority of patient samples. This included venetoclax, the Bcl-2 inhibitor ABT-737, doxorubicin, acalabrutinib, other kinase inhibitors (sunitinib, volasertib, trametinib, copanlisib) and proteasome inhibitors (carfilzomib, bortezomib). Selective drug sensitivity scores of the top 5 drugs in all patient samples (73 drugs in total) are shown in the heatmap (Figure 1). Venetoclax showed a higher sDSS score in 10 of the 20 patients with an average sDSS score of 22.3 followed by ABT-737 (Bcl-2 inhibitor) with an average sDSS score of 19.7. By performing hierarchical clustering analysis (Euclidean distance, Ward linkage method), we observed unsupervised clustering of patient samples irrespective of the IgVH mutation status. We are currently expanding the analysis by classifying the patient samples by age, sex and mutation status. Conclusion Our novel CLL culture method that allows cell proliferation along with our established functional in-vitro drug sensitivity screening platform enabled us to screen a number of patient samples and evaluate the sensitivity of a library of approved drugs and investigational drug candidates for CLL. Our analysis shows that several drugs may be effective for CLL and can be tested in drug combinations in order to identify synergistic effects. As a future perspective, we want to combine machine learning strategies with the experimental drug screening strategies to identify drug combinations and validate drug candidates by xenografting and in precision medicine clinical trials. Figure 1: Selective Drug Sensitivity Screening (sDSS) score for top 3 drugs (44 drugs) for 20 CLL patient samples. Green label is IgVH mutated CLL patient samples and blue label is IgVH unmutated patient samples. Disclosures Schjesvold: Oncopeptides: Consultancy; Abbvie: Honoraria; Novartis: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Adaptive: Consultancy; Bayer: Consultancy; Bristol Myers Squibb: Consultancy; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding.

Introduction Multiple Myeloma (MM) is considered incurable and MM patients eventually relapse despite use of many promising approved drugs in standard-of-care treatment. It has been challenging to design precision medicine protocols to tailor personalized treatment for MM patients that relapse despite availability of novel drugs. In-vitro drug screening has been hampered by lack of in-vitro culture protocols that mimic tumor microenvironment and that accommodates for low cell number. Here, we report our novel MM proliferation protocol along with an in-vitro functional screening platform, that allow us to assess drug sensitivity on MM patient samples with a customized panel of 30 myeloma drugs. Using our novel drug sensitivity screening platform, we aim to identify efficient drugs for individual patients with progressive disease and select the best treatment option. Methods Previously, we have established culture settings that mimic the tumor microenvironment for MM (Wang D. et al Leukemia 2017). Here, we implemented a novel protocol that allowed primary MM cells to proliferate in a 384 well-format. Stimulated CD138+ MM cells were tested against a customized library of 30 clinically approved drugs including proteasome inhibitors (PI) and drugs that are in clinical trials. CD138+ MM cells were cultured in 384-well format in the presence of individual drugs in a concentration range over 6 logs for 72 hours (3 days). To define drugs that inhibit malignant plasma cell growth, we used the cell-based assays CellTiter-Glo® luminescent cell viability assay and CellTox™ green cytotoxicity assay as readouts by assessing drug sensitivity at day 3. We performed MM drug screening on 18 patient samples and 6 healthy B-cell (BC) control samples. We performed drug screening on myeloma cells SK-MM2 (patient derived cell line) for 527 drugs at 5 concentrations. We are currently performing drug screening on 11 MM cell lines which represents diverse cancer stage. For each patient sample, a Drug Sensitivity Score (DSS) was calculated for every drug using the IC50 value, slope and the area under the curve (AUC). Next, DSS values for the full MM patient cohort were compared to those of healthy controls to generate a selective DSS (sDSS) for each drug (sDSS = DSSpatient - average DSShealthy). Drugs which had sDSS >5 were considered clearly more effective for patient samples in the in vitro test. MM patient samples were assessed for sDSS score using our screening data and we ranked all the drugs by their sDSS score. We have generated sDSS score for both CTG (cell viability) and CTxG (cell toxicity) datasets. Results and conclusion To date we have performed MM drug sensitivity screening on 18 MM patient samples and 6 healthy B cells donors. We adopted a quantitative scoring approach using sDSS to rank drugs that are selective and effective in inhibiting myeloma cells. Based on our drug sensitivity analysis, proteasome inhibitors such as bortezomib and carfilzomib were more effective in inhibiting myeloma cell proliferation compared to other drugs in all 18 patient samples as well as in the 6 healthy donors. Surprising, doxorubicin showed the highest average sDSS score in 10 patients with score 12.96 followed by prednisolone with average sDSS score 6.73 (Figure 1), while proteasome inhibitor bortezomib showed average sDSS score of 4.14 and carfilzomib showed average sDSS score of 1. In addition, we observed that samples from dexamethasone-treated patients showed lower sDSS score for dexamethasone in the in vitro drug screening compared to samples from untreated patients (MM0905 and MM0706). Based on the screening data and clustering analysis, we concluded that the observed diversity in drug effectiveness between patient samples supports the hypothesis of tumor heterogeneity and creates a basis for exploring the possibility to individualize treatment choices. Figure 1: Selective Drug Sensitivity Screening (sDSS) score for 30 drugs for 13 MM patient samples. HB, Healthy donor B cells (Euclidean distance, Ward linkage method) Disclosures Schjesvold: Novartis: Honoraria; Oncopeptides: Consultancy; Janssen: Consultancy, Honoraria, Research Funding; Adaptive: Consultancy; Bayer: Consultancy; Bristol Myers Squibb: Consultancy; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Abbvie: Honoraria.

Shiga toxin (Stx) is a bacterial toxin that binds to its receptor Gb3 at the plasma membrane. It is taken up by endocytosis and transported retrogradely via the Golgi apparatus to the endoplasmic reticulum. The toxin is then translocated to the cytosol where it exerts its toxic effect. We have previously shown that phosphorylation of clathrin heavy chain (CHC) is an early event following Stx binding to HeLa cells, and that this requires the activity of the tyrosine kinase Syk. Here, we have investigated this event in more detail in the B lymphoid cell line Ramos, which expresses high endogenous levels of both Syk and Gb3. We report that efficient endocytosis of Stx in Ramos cells requires Syk activity and that Syk is recruited to the uptake site of Stx. Furthermore, in response to Stx treatment, CHC and Syk were rapidly phosphorylated in a Src family kinase dependent manner at Y1477 and Y352, respectively. We show that these phosphorylated residues act as binding sites for the direct interaction between Syk and CHC. Interestingly, Syk-CHC complex formation could be induced by both Stx and B cell receptor stimulation.

Shiga toxin (Stx) binds to the cell, and it is transported via endosomes and the Golgi apparatus to the endoplasmic reticulum and cytosol, where it exerts its toxic effect. We have recently shown that Stx activates the tyrosine kinase Syk, which in turn induces clathrin phosphorylation and up-regulates Stx uptake. Here, we show that toxin-induced signaling can also regulate another step in intracellular Stx transport. We demonstrate that transport of Stx to the Golgi apparatus is dependent on the mitogen-activated protein kinase p38. Treatment of cells with chemical inhibitors or small interfering RNA targeting p38 inhibited Stx transport to the Golgi and reduced Stx toxicity. This p38 dependence is specific to Stx, because transport of the related toxin ricin was not affected by p38 inhibition. Stx rapidly activated p38, and recruited it to early endosomes in a Ca2+-dependent manner. Furthermore, agonist-induced oscillations in cytosolic Ca2+levels were inhibited upon Stx stimulation, possibly reflecting Stx-dependent local alterations in cytosolic Ca2+levels. Intracellular transport of Stx is Ca2+dependent, and we provide evidence that Stx activates a signaling cascade involving cross talk between Ca2+and p38, to regulate its trafficking to the Golgi apparatus.

The SecY complex associates with the ribosome to form a protein translocation channel in the bacterial plasma membrane. We have used cryo-electron microscopy and quantitative mass spectrometry to show that a nontranslating E. coli ribosome binds to a single SecY complex. The crystal structure of an archaeal SecY complex was then docked into the electron density maps. In the resulting model, two cytoplasmic loops of SecY extend into the exit tunnel near proteins L23, L29, and L24. The loop between transmembrane helices 8 and 9 interacts with helices H59 and H50 in the large subunit RNA, while the 6/7 loop interacts with H7. We also show that point mutations of basic residues within either loop abolish ribosome binding. We suggest that SecY binds to this primary site on the ribosome and subsequently captures and translocates the nascent chain.

BCR signaling pathway inhibitors such as Syk inhibitors[1][1]–[3][2] have shown promise in CLL, a mature B cell cancer where the BCR pathway is constitutively active.[4][3] However, sustained BCR signaling can lead to anergy and apoptosis in a process including IgM downregulation, reduced

The AB plant toxin ricin binds both glycoproteins and glycolipids at the cell surface via its B subunit. After binding, ricin is endocytosed and then transported retrogradely through the Golgi to the endoplasmic reticulum (ER). In the ER, the A subunit is retrotranslocated to the cytosol in a chaperone-dependent process, which is not fully explored. Recently two separate siRNA screens have demonstrated that ER chaperones have implications for ricin toxicity. ER associated degradation (ERAD) involves translocation of misfolded proteins from ER to cytosol and it is conceivable that protein toxins exploit this pathway. The ER chaperone BiP is an important ER regulator and has been implicated in toxicity mediated by cholera and Shiga toxin. In this study, we have investigated the role of BiP in ricin translocation to the cytosol. We first show that overexpression of BiP inhibited ricin translocation and protected cells against the toxin. Furthermore, shRNA-mediated depletion of BiP enhanced toxin translocation resulting in increased cytotoxicity. BiP-dependent inhibition of ricin toxicity was independent of ER stress. Our findings suggest that in contrast to what was shown with the Shiga toxin, the presence of BiP does not facilitate, but rather inhibits the entry of ricin into the cytosol.