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  • American Association for Cancer Research (AACR)  (7)
  • 1
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 18, No. 9 ( 2019-09-01), p. 1565-1576
    Abstract: Amplification of the epidermal growth factor receptor gene (EGFR) represents one of the most commonly observed genetic lesions in glioblastoma (GBM); however, therapies targeting this signaling pathway have failed clinically. Here, using human tumors, primary patient-derived xenografts (PDX), and a murine model for GBM, we demonstrate that EGFR inhibition leads to increased invasion of tumor cells. Further, EGFR inhibitor–treated GBM demonstrates altered oxidative stress, with increased lipid peroxidation, and generation of toxic lipid peroxidation products. A tumor cell subpopulation with elevated aldehyde dehydrogenase (ALDH) levels was determined to comprise a significant proportion of the invasive cells observed in EGFR inhibitor–treated GBM. Our analysis of the ALDH1A1 protein in newly diagnosed GBM revealed detectable ALDH1A1 expression in 69% (35/51) of the cases, but in relatively low percentages of tumor cells. Analysis of paired human GBM before and after EGFR inhibitor therapy showed an increase in ALDH1A1 expression in EGFR-amplified tumors (P & lt; 0.05, n = 13 tumor pairs), and in murine GBM ALDH1A1-high clones were more resistant to EGFR inhibition than ALDH1A1-low clones. Our data identify ALDH levels as a biomarker of GBM cells with high invasive potential, altered oxidative stress, and resistance to EGFR inhibition, and reveal a therapeutic target whose inhibition should limit GBM invasion.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 2
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 16, No. 14_Supplement ( 2010-07-15), p. B6-B6
    Abstract: Dysregulated JAK-STAT signaling is a hallmark of myeloproliferative neoplasms (MPNs), as evidenced by the identification of activating mutations in JAK2, and the thrombopoietin (TPO) receptor MPL in a subset of MPN patients. Clinical trials with highly specific inhibitors of JAK2 are currently ongoing, and clinical responses have been observed in the majority of MPN patients, validating JAK2 as an important therapeutic target in these patients. In addition, responses have been observed in patients lacking known mutations in JAK2 or MPL, suggesting that other regulatory elements in this pathway are altered. However, the molecular basis for this observation is not well understood. One regulator of JAK-STAT signaling is LNK (SH2B3), a member of a family of adaptor proteins that share several structural motifs, including a proline-rich N-terminal dimerization domain (Pro/DD), a pleckstrin homology (PH) domain, an SH2 domain, and a conserved C-terminal tyrosine residue. LNK binds to MPL via its SH2 domain and co-localizes to the plasma membrane via its PH domain. Upon cytokine stimulation with TPO, LNK binds strongly to JAK2 and inhibits downstream STAT activation, thereby providing critical negative feedback regulation. LNK-/- mice exhibit an MPN phenotype, including an expanded hematopoietic stem cell compartment, megakaryocyte hyperplasia, splenomegaly, leukocytosis, and thrombocytosis. We sequenced LNK in a cohort of MPN patients, leading to the identification of novel mutations in 7/159 (4.4%) patients. One patient with JAK2 V617F-negative primary myelofibrosis (PMF) exhibited a 5 base-pair deletion and missense mutation (DEL) leading to a premature stop codon and loss of the PH and SH2 domains. Six additional patients were found to have point mutations affecting conserved residues in the PH domain. Interestingly, a point mutation leading to an E208Q substitution was found in one JAK2 V617F- negative patient with essential thrombocythemia (ET), as well as one JAK2 V617F-positive ET patient. Similarly, a P242S substitution was also found in both a JAK2 V617F-negative ET patient, as well as a JAK2 V617F-positive patient with post-polycythemic myelofibrosis. These latter findings suggest that even in the presence of the JAK2 V617F mutation, abrogation of LNK function may be a cooperating pathogenetic mutation. TPO-dependent BaF3-MPL cells transduced with the LNK DEL mutant exhibited augmented and sustained TPO-dependent growth and activation of JAK2-STAT3/5. The E208Q mutation resulted in partial loss of LNK function, suggesting that LNK mutations may confer a spectrum of phenotypes. Primary patient samples from MPN patients bearing the LNK DEL and E208Q mutations exhibited aberrant JAK-STAT activation, and cytokine-responsive CD34+ early progenitors were abnormally abundant. The STAT3/5 activation response was abrogated by JAK inhibition, suggesting that JAK2 inhibitors may be a feasible option for MPN patients bearing LNK mutations. Our identification of mutations in LNK, the first reported in human disease, demonstrates that loss of JAK-STAT negative feedback control is a novel mechanism of MPN pathogenesis. As each of these LNK mutations localizes to the PH domain and appears to be heterozygous, mislocalized mutant LNK may exert a dominant negative effect by binding and sequestering wild-type LNK. These findings may also partly explain why some MPN patients lacking JAK2 or MPL mutations respond to treatment with JAK2 inhibitors, and highlight the importance of a more complete understanding of the role of inhibitory pathways in MPN pathogenesis. Citation Information: Clin Cancer Res 2010;16(14 Suppl):B6.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 3
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    American Association for Cancer Research (AACR) ; 2015
    In:  Clinical Cancer Research Vol. 21, No. 17_Supplement ( 2015-09-01), p. A32-A32
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 21, No. 17_Supplement ( 2015-09-01), p. A32-A32
    Abstract: Cells within a single tumor are known to display extensive phenotypic and functional heterogeneity. Many life-threatening features of cancer, including drug resistance, metastasis and relapse, are facets of intratumor heterogeneity. With emerging single-cell measurement technologies, the field is poised to make important strides in understanding and controlling this heterogeneity. However, these technologies require coordinated advances in analytical methods to interpret the complex data they produce. Acute myeloid leukemia (AML) is an aggressive bone marrow malignancy in which the importance of cellular heterogeneity has been well characterized. However, previous studies have only scraped the surface of the heterogeneity in this disease. Using mass cytometry, which measures single cells in ~40 simultaneous proteomic features, we developed novel methods for analyzing phenotypic heterogeneity in cancer. Our approach provides an extensive compendium of surface-marker and signaling phenotypes in AML that extends current boundaries of knowledge. The heart of our approach is a graph-based representation of the single-cell samples. In this representation, each cell is modeled by a node connected to its neighbors—the cells most phenotypically similar to it. Constructed by local rules connecting cells, the graph as a whole represents the phenotypic structure of the sample. The graph can be partitioned into subsets of densely interconnected nodes, called communities, which represent distinct phenotypic subpopulations. Unlike parametric methods such as mixture models, this method makes no assumption about the size, distribution, or number of subpopulations. Using our graph-based approach, we deconstructed several AML samples into discrete phenotypes. Comparing phenotypes across patients, we found a striking degree of order. Every phenotype identifiable phenotype was discoverable in multiple (but not all) patients, implying a constraint on the space of allowable AML phenotypes. For each phenotype we also identified cognate healthy cell types at different stages of bone marrow maturation, indicating a constraint that is linked to normal developmental programs. Our data contain measurements of under various environmental perturbations and we designed a method to statistically quantify evoked signaling responses, producing high-dimensional signaling phenotypes for each subpopulation, which we regard as a representation of cellular functional potential. We found a tight coupling between surface and signaling phenotypes in healthy cells that is disrupted in AML. We identified a primitive signaling phenotype, derived from healthy stem and progenitor cells, which was not correlated with the primitive surface marker profile typically used to define primitive cells in AML. Using single-cell frequencies to deconvolve existing bulk gene expression data, we identified genes associated with this primitive signaling phenotype. These genes are enriched for primitive hematopoietic annotations and produce a clinically predictive signature that is more powerful than genes associated with the primitive surface profile, validating the utility of our approach and indicating novel regulators of the primitive hematopoietic cell state. Citation Format: Jacob H. Levine, Erin F. Simonds, Sean C. Bendall, Garry P. Nolan, Dana Pe'er. Computational dissection of phenotypic and functional heterogeneity in acute myeloid leukemia. [abstract]. In: Proceedings of the AACR Special Conference on Hematologic Malignancies: Translating Discoveries to Novel Therapies; Sep 20-23, 2014; Philadelphia, PA. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(17 Suppl):Abstract nr A32.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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    detail.hit.zdb_id: 2036787-9
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 239-239
    Abstract: Dysregulated JAK-STAT signaling via activating mutations in tyrosine kinases (e.g. JAK2 and MPL) is a hallmark of chronic myeloproliferative neoplasms (MPNs). Even in the absence of mutations in JAK2 or MPL, JAK-STAT activation can be demonstrated, suggesting that alterations of other regulatory elements in this pathway may contribute to MPN pathobiology. One regulator of JAK-STAT signaling is LNK (SH2B3), an adaptor protein that binds to MPL via it SH2 domain and co-localizes to the plasma membrane via its pleckstrin homology (PH) domain. Upon cytokine stimulation, LNK binds strongly to JAK2 and dampens or terminates downstream STAT activation. LNK−/- mice exhibit features consistent with an MPN phenotype, including splenomegaly, leukocytosis, and thrombocytosis. We therefore sequenced LNK in 34 JAK2 V617F-negative MPN patients, and report the identification of novel mutations in exon 2 of LNK in two patients. In a patient with primary myelofibrosis, a 5 base-pair deletion and missense mutation (DEL) leading to a premature stop codon and loss of the PH and SH2 domains was identified. A second patient with essential thrombocythemia exhibited a missense mutation leading to an E208Q substitution in the PH domain. DNA isolated from cultured skin fibroblasts revealed wild-type (WT) sequence, confirming that these mutations were somatic. TPO-dependent BaF3-MPL cells were transduced with WT and mutant LNK. While WT LNK inhibited TPO-dependent growth and activation of JAK2-STAT3/5, the DEL mutation led to loss of these negative feedback properties, thereby permitting augmented and sustained JAK-STAT activation in response to TPO stimulation. The E208Q mutation resulted in partial loss of LNK function, suggesting that LNK mutations may confer a spectrum of phenotypes. In peripheral blood samples obtained from MPN patients, stimulation with TPO or G-CSF revealed a unique phosphorylated STAT3/5 (pSTAT3+/5+) subpopulation that was increased in DEL compared with normal donor samples. A similar pSTAT3+/5+ subpopulation was seen with JAK2 V617F and MPL W515L-positive samples, suggesting that this may be a shared feature of MPNs. E208Q cells exhibited STAT3/5 phosphorylation in response to TPO, but not G-CSF, indicating that a partial loss of LNK function may generate differential STAT activation profiles in response to specific cytokines. The cytokine-responsive pSTAT3+/5+ cells from DEL were primarily CD34+, and the DEL mutation was detected in this subset, suggesting that LNK mutations arise in a hematopoietic stem or progenitor cell. Finally, the pSTAT3+/5+ response was abrogated by JAK inhibition, suggesting that JAK2 inhibitors may be a feasible option for MPN patients bearing LNK mutations. Thus, mutations in LNK, the first reported in human disease, lead to loss of LNK negative feedback function and represent a novel mechanism of MPN pathogenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 239.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 8_Supplement ( 2013-04-15), p. 3178-3178
    Abstract: Acute myeloid leukemia (AML) can present with multiple concurrent subclones at diagnosis. Subclone-specific mutations may confer resistance to molecular-targeted drugs through loss of antigen expression or rewiring of intracellular signaling pathways, leading to relapse. Deep sequencing approaches improve the detection of rare subclones, but the ability to prospectively identify subclones (i.e. without relapse material) is limited, and the effects of subclone-specific mutations on phenotype are poorly understood. In the course of a broader study of oligoclonal pediatric AML patients, we focused investigation on a diagnosis bone marrow sample from a patient harboring 3 presumed subclones (two with distinct NRAS-G12D, NRAS-G13D mutations) as determined by whole-genome sequencing (WGS). We employed a combination of 31-parameter mass cytometry, deep sequencing, FACS sorting, and computational modeling to produce a detailed profile of the subclonal genotypes and phenotypes in this patient. The 3 anticipated subclones did not correlate with a clear subset of surface markers in the mass cytometry analysis. Instead, we observed a single continuous ‘differentiation trajectory’ from progenitor-like to monocyte-like blasts. To dissect this trajectory, 7 distinct myeloid/progenitor subsets were FACS-sorted, plus T/B cells as a non-leukemic control. For each subset we performed capture-based deep sequencing of 307 tumor-specific variants (Tier 1: 13; Tier 2: 33; Tier 3: 261; median depth: 1420x). Shifts in allele frequencies among the FACS-sorted subsets provided critical information to a Bayesian mixture modeling algorithm, allowing identification of 5 subclones, as opposed to the 3 subclones anticipated by WGS. The inferred subclonal genotypes were validated and further refined by targeted single-cell Sanger sequencing of multiple Tier 3 loci. Although all 5 subclones were present throughout the differentiation trajectory, some were enriched in certain phenotypic states or ‘reservoirs’. For example, the NRAS-G12D subclone was enriched in a progenitor-like subset, but its daughter subclone, which harbored an additional mutation in RAC2 (implicated in HSC engraftment), was enriched in the more differentiated subsets, suggesting an opposing effect. Notably, the T/B cell population harbored 2 tumor-specific Tier 1 mutations at & gt;15% allele frequency, suggesting its presence in a preleukemic, multilineage-competent HSC. Taken together, subclone-specific mutations appear to skew cells toward either progenitor or mature phenotypes, but the developmental trajectory enforced by parental mutations is resistant to change. Furthermore, characterization of subclones is possible at diagnosis, and may improve the selection of targeted therapies. *Contributed equally: EFS, SCB & ALG Citation Format: Erin F. Simonds, Sean C. Bendall, Amanda L. Gedman, Jacob H. Levine, Kara L. Davis, Harris G. Fienberg, Astraea Jager, El-ad D. Amir, Ina Radtke, Wendy J. Fantl, Dana Pe'er, James R. Downing, Garry P. Nolan. Deep sequencing of immunophenotypically distinct subsets in acute myeloid leukemia reveals reservoirs of genetically distinct subclones along a conserved differentiation trajectory. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3178. doi:10.1158/1538-7445.AM2013-3178
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 6
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    Online Resource
    American Association for Cancer Research (AACR) ; 2015
    In:  Cancer Research Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2313-2313
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2313-2313
    Abstract: Introduction: Glioblastoma tumors contain dramatic intratumoral heterogeneity at the level of cellular phenotypes. High-parameter single-cell platforms such as mass cytometry offer an opportunity to simultaneously measure tumor subpopulations with unexpected combinations of differentiation markers, as well as stromal cells, vasculature, and infiltrating immune cells. Methods: A subcutaneous patient-derived xenograft from an adult with glioblastoma was enzymatically digested into a single-cell suspension. Half of the cells were treated with epidermal growth factor (EGF) at 20 ng/mL for 15 minutes. Both samples were then stained with a 32-marker antibody panel and measured by single-cell mass cytometry. The antibody panel included surface-expressed markers of stemness and differentiation, as well as intracellular markers to monitor cell cycle, apoptosis, and growth factor signaling. Unsupervised spectral clustering was used to segregate & gt;200,000 tumor cells into 13 tumor cell subsets. Inducible signaling phenotypes were quantified in these subsets by comparing binding of phospho-specific antibodies in the stimulated sample, relative to the unstimulated control. Results: Many previously reported markers of cancer stem cells were detectable, but they did not agree on a single population of cells. Although the CD133+ fraction was rare ( & lt;5% of cells), it contained three distinct subpopulations of phenotypically distinct cells. The most informative markers for discriminating the tumor subsets were markers of stemness (i.e. CD133, CD44, Sox2) or integrin expression (i.e. CD49e, CD49f, CD51). The primitive cells (i.e. Sox2+) exhibited higher basal kinase activity across multiple pathways, including markers of cell division (i.e. Histone H3 pSer28). Short-term stimulation with EGF induced distinct responses in each of the different CD133+ subsets. Conclusions: Single-cell phenotyping by mass cytometry produced rich developmental and functional profiles of glioblastoma cell subsets. Subpopulations of primitive (CD133+) cells can exist in a single glioblastoma tumor and exhibit distinct signaling responses to external stimulation. Altogether, these results validate the use of this platform for investigation of the intratumoral cellular heterogeneity of solid neural tumors with this platform. Work is underway to identify correlations between intratumoral cellular phenotypes and upstream driver mutations in a larger cohort. Citation Format: Erin F. Simonds, Garry P. Nolan, William A. Weiss. Characterizing intratumoral cellular heterogeneity in human glioblastoma xenografts by 30+ parameter single-cell mass cytometry. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2313. doi:10.1158/1538-7445.AM2015-2313
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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    detail.hit.zdb_id: 410466-3
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  • 7
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2013
    In:  Cancer Research Vol. 73, No. 19_Supplement ( 2013-10-01), p. IA30-IA30
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 73, No. 19_Supplement ( 2013-10-01), p. IA30-IA30
    Abstract: It is now well appreciated that intra-tumor heterogeneity is of critical importance. There is remarkable molecular variability between and within populations of tumor cells, driven by both genetic and epigenetic variation. We address the challenge of identifying and characterizing tumor sub-populations through a combined experimental and computational approach. In two examples, we will demonstrate approaches to address each type of heterogeneity. Seventy percent of melanoma tumors have activated, and dependent on, MAPK pathway. However, the phenotypic response to MAPK inhibition is heterogeneous, both in vitro and in patients. While this heterogeneity is well characterized, we attempted to better understand its underlying mechanism. We used gene expression data both before and after pathway inhibition in a panel of cell lines to decipher the network structure under MAPK, and to identify network rewiring that contribute to the phenotypic response. To our surprise, the targets of the MAPK pathway vary dramatically between cell lines. We found that most targets are context-specific, regulated by MAPK only in a subset of samples. We therefore developed an algorithm to detect context-specific targets, and we used those targets to identify the pathways that are being regulated by MAPK. We found that NFkB and STAT3 activation status is correlated with apoptosis levels induced by MAPK inhibition. Furthermore, we show that they protect cells from the cytotoxic effects of MAPK inhibition. We employ mass cytometry, which accurately measures the expression and phosphorylation states of more than forty proteins in thousands of single cells, including surface proteins and signaling molecules. We present results on both healthy bone marrow and bone marrow from both ALL and AML patients. To understand abnormal, we first built a more accurate map of normal, modeling B-cell development in the marrow at unprecedented resolution. We measured 8 healthy marrows with 42 antibody parameters with mass cytometry targeting a multitude of phenotypic markers, intracellular signaling molecules, hallmarks of cell cycle and apoptosis all in the context of in vitro perturbations relevant to B cell development (including IL-7 and BCR crosslinking). We developed a graph based trajectory algorithm (wanderlust) that can trace a continuous progression from the hematopoietic stem cells, through the progenitor cells, to the final, committed B-cells. Our derived map of healthy B-cell development revealed the order and timing of developmental events at unprecedented resolution. The resulting multidimensional data was modeled using wanderlust and the predicted trajectory was then used to inform a traditional ‘gating’ analysis of the data and provide a higher resolution view of human B cell development than previously published. This healthy map was used to help provide a backbone on which to further understand how these trajectories are dysregulated in ALL. Citation Format: El-ad David Amir, Oren Litvin, Jacob Levine, Sean C. Bendall, Kara L. Davis, Erin F. Simonds, Tanya Schild, Mark Rocco, Neal Rosen, Garry P. Nolan, Dana Pe'er. Towards rationale therapy: Dealing with intertumor and intratumor heterogeneity. [abstract]. In: Proceedings of the Third AACR International Conference on Frontiers in Basic Cancer Research; Sep 18-22, 2013; National Harbor, MD. Philadelphia (PA): AACR; Cancer Res 2013;73(19 Suppl):Abstract nr IA30.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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    detail.hit.zdb_id: 410466-3
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