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  • 1
    In: Nanoscale, Royal Society of Chemistry (RSC), Vol. 9, No. 6 ( 2017), p. 2291-2300
    Type of Medium: Online Resource
    ISSN: 2040-3364 , 2040-3372
    Language: English
    Publisher: Royal Society of Chemistry (RSC)
    Publication Date: 2017
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  • 2
    In: Journal for ImmunoTherapy of Cancer, BMJ, Vol. 11, No. 4 ( 2023-04), p. e006303-
    Abstract: Metastatic cholangiocarcinoma (CC), a form of gastrointestinal cancer that originates from the bile ducts, cannot be cured by currently available therapies, and is associated with dismal prognosis. In a previous case report, adoptive transfer of autologous tumor infiltrating lymphocytes (TILs), the majority of which recognized a tumor-specific point mutation, led to a profound and durable cancer regression in a patient with metastatic CC. Thus, more effective treatment for patients with this disease may be developed by using TILs that target cancer-specific mutations, but also other genetic aberrations such as gene fusions. In this context, fusions that involve fibroblast growth factor receptor 2 ( FGFR2 ) and function as oncogenes in a subset of patients with intrahepatic CC (ICC) represent particularly attractive targets for adoptive cell therapy. However, no study to date has explored whether FGFR2 fusions can be recognized by patients’ T cells. Method To address whether FGFR2 fusions can be recognized by patients’ T cells, we tested TILs from four patients with FGFR2 fusion-positive ICC for recognition of peptides and minigenes that represented the breakpoint regions of these fusions, which were unique to each of the four patients. Results We found that CD4 + TILs from one patient specifically recognized the breakpoint region of a unique FGFR2-TDRD1 (tudor domain-containing 1) fusion, and we isolated a T-cell receptor responsible for its recognition. Conclusions This finding suggests that FGFR2 fusion-reactive TILs can be isolated from some patients with metastatic ICC, and thus provides a rationale for future exploration of T cell-based therapy targeting FGFR2 fusions in patients with cancer. Furthermore, it augments the rationale for extending such efforts to other types of solid tumors hallmarked by oncogenic gene fusions.
    Type of Medium: Online Resource
    ISSN: 2051-1426
    Language: English
    Publisher: BMJ
    Publication Date: 2023
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  • 3
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 7, No. 8 ( 2017-08-01), p. 884-899
    Abstract: Alveolar rhabdomyosarcoma is a life-threatening myogenic cancer of children and adolescent young adults, driven primarily by the chimeric transcription factor PAX3–FOXO1. The mechanisms by which PAX3–FOXO1 dysregulates chromatin are unknown. We find PAX3–FOXO1 reprograms the cis-regulatory landscape by inducing de novo super enhancers. PAX3–FOXO1 uses super enhancers to set up autoregulatory loops in collaboration with the master transcription factors MYOG, MYOD, and MYCN. This myogenic super enhancer circuitry is consistent across cell lines and primary tumors. Cells harboring the fusion gene are selectively sensitive to small-molecule inhibition of protein targets induced by, or bound to, PAX3–FOXO1-occupied super enhancers. Furthermore, PAX3–FOXO1 recruits and requires the BET bromodomain protein BRD4 to function at super enhancers, resulting in a complete dependence on BRD4 and a significant susceptibility to BRD inhibition. These results yield insights into the epigenetic functions of PAX3–FOXO1 and reveal a specific vulnerability that can be exploited for precision therapy. Significance: PAX3–FOXO1 drives pediatric fusion-positive rhabdomyosarcoma, and its chromatin-level functions are critical to understanding its oncogenic activity. We find that PAX3–FOXO1 establishes a myoblastic super enhancer landscape and creates a profound subtype-unique dependence on BET bromodomains, the inhibition of which ablates PAX3–FOXO1 function, providing a mechanistic rationale for exploring BET inhibitors for patients bearing PAX-fusion rhabdomyosarcoma. Cancer Discov; 7(8); 884–99. ©2017 AACR. This article is highlighted in the In This Issue feature, p. 783
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 4
    In: Journal of Clinical Immunology, Springer Science and Business Media LLC, Vol. 35, No. 1 ( 2015-1), p. 32-46
    Type of Medium: Online Resource
    ISSN: 0271-9142 , 1573-2592
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
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  • 5
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 2744-2744
    Abstract: Little is known about the disease-specific factors that predict responsiveness to CAR-T cell therapy, other the direct presence of the CAR-T target. Clinical outcomes at our center have demonstrated that durable responses to CD19-directed CAR-T therapy in pediatric pre-B-ALL (acute lymphoblastic leukemia) are associated with persistence of CAR-T cells in the peripheral blood, antigenic load (percent CD19-positive cells in marrow prior to CAR-T infusion), and apheresis product T-cell quality (Finney O, et al., 2019). However, in a small number of cases where both antigenic load and T-cell quality predicted a good response, the treatment failed rapidly. This led us to undertake a detailed investigation of the leukemia itself in order to discover potential disease-associated factors that correlate with resistance to CAR-T therapy. We employed advanced exomic, and single-cell genomic and epigenomic analysis techniques to define signatures present in four CD19-CAR-T resistant bone marrow biopsy specimens, in comparison to five specimens from CD19-CAR-T responsive disease, from patients enrolled in a phase I clinical trial at Seattle Children's Hospital (PLAT-02, NCT02028455). Current cytogenic approaches to identify high risks markers (Ph+, Ph-like, MLL) were not informative as to CAR-T susceptibility, as high risk leukemias were CAR-T responsive; while a CAR-T resistant leukemia contained a marker (ETV6-RUNX1 fusion) previously associated with a good prognosis. Thus, we performed bulk whole-exome sequencing and RNAseq, single cell (sc) RNAseq, sc B-cell receptor (BCR)-seq, methylation array, H3K27ac ChIPseq, and ATACseq on these marrow samples. Initial genomic analysis revealed a total of 5 previously described hotspot mutations in ABL1, IKZF1, EP300, and 2 in KRAS. RNAseq analyses identified actionable fusions for ABL1, ETV6, ETV5, and KMT2A. Interestingly, a therapy-sensitive leukemia harbored a KMT2A-AFF1 fusion that was shown to predispose patients to leukemic plasticity and lineage switching when treated with blinatumomab. Importantly, we identified CREBBP-fusions in leukemias that failed to achieve CD19-CAR-T cell induced B cell aplasia. CREBBP perturbations have previously been associated with relapsed and refractory ALL, but not with resistance to CAR-T therapy. Single cell RNAseq and scBCRseq data are being analyzed for the existence of mixed lineage and gene expression-based heterogeneity that may predict clonal selection under CAR-T pressure. RNASeq analysis identified upregulation of JUN and JUND transcripts in CAR-T resistant disease, a finding which is complemented by the hypermethylation of JUND in CAR-T sensitive disease. Similarly, ATACseq and methylation data is being analyzed for lineage specification in CAR-T resistant leukemia. In comparing dysfunctional to functional CAR-T responders by ATACseq, 〉 10,000 unique open chromatin regions were identified in dysfunctional responders, as opposed to 〈 500 open chromatin regions in the functional responders, indicating that CAR-T resistant disease had more open chromatin. A recent published analysis of cancer cell lines identified EP300 and CREBBP mutations that were proposed to increase substrate acetylation, and which "…may represent the first cancer-associated gain of function mutations for p300 and CBP…" (Ghandi M, et al, 2019). Our study represents one of the most comprehensive approaches to genomic profiling for B-ALL patient samples to date. The immune evasion we have described is not due to overt CD19 antigen loss, or to a long-term process of genetic alteration or drift. We propose that continued analysis of our data may reveal that epigenetic plasticity is a component of CAR-T resistance. The presence of CREBBP fusion genes or mutations, methylation array-based identification of altered JUND/JUN regulation, and ATAC Seq identification of multiple open regions of the genome in leukemias from dysfunctional responders lend support to this hypothesis. Although our analysis is preliminary and the sample number is small, we believe these in-depth analyses will highlight crucial differences in leukemia that predict responsiveness to CAR T therapy Disclosures Gardner: Novartis: Honoraria. Jensen:Bluebird Bio: Research Funding; Juno Therapeutics, a Celgene Company: Research Funding. Orentas:Lentigen Technology Inc., a Miltenyi Biotec Company: Consultancy, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 6
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 26, No. 13 ( 2020-07-01), p. 3296-3306
    Abstract: We analyzed whole transcriptome sequencing in tumors from 23 patients with stage III or IV melanoma from a pilot trial of the anti-GD2 immunocytokine, hu14.18-IL2, to identify predictive immune and/or tumor biomarkers in patients with melanoma at high risk for recurrence. Experimental Design: Patients were randomly assigned to receive the first of three monthly courses of hu14.18-IL2 immunotherapy either before (Group A) or after (Group B) complete surgical resection of all known diseases. Tumors were evaluated by histology and whole transcriptome sequencing. Results: Tumor-infiltrating lymphocyte (TIL) levels directly associated with relapse-free survival (RFS) and overall survival (OS) in resected tumors from Group A, where early responses to the immunotherapy agent could be assessed. TIL levels directly associated with a previously reported immune signature, which associated with RFS and OS, particularly in Group A tumors. In Group A tumors, there were decreased cell-cycling gene RNA transcripts, but increased RNA transcripts for repair and growth genes. We found that outcome (RFS and OS) was directly associated with several immune signatures and immune-related RNA transcripts and inversely associated with several tumor growth–associated transcripts, particularly in Group A tumors. Most of these associations were not seen in Group B tumors. Conclusions: We interpret these data to signify that both immunologic and tumoral cell processes, as measured by RNA-sequencing analyses detected shortly after initiation of hu14.18-IL2 therapy, are associated with long-term survival and could potentially be used as prognostic biomarkers in tumor resection specimens obtained after initiating neoadjuvant immunotherapy.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 5081-5081
    Abstract: Despite improvement of survival using multimodal chemo- and immunotherapy, high mortality and morbidity is still substantial for pediatric patients with metastatic cancers. Recent large-scale sequencing studies of pediatric tumors including rhabdomyosarcoma (RMS) and neuroblastoma (NB) have been focusing on somatic mutations, and revealed a low somatic mutation rate and surprisingly few recurrently somatic mutated genes in these childhood tumors. Currently, only a small portion of pediatric cancer cases can be explained by somatic driver events; whereas the cause for the majority of these diseases remains unknown. Because both these two types of tumors are uncommon, here we hypothesize that infrequent germline mutations (frequency & lt;0.05 in control populations) may play a role in the initiation of sporadically occurring tumor. To test this hypothesis, we utilized sequencing data from two cancer patient cohorts consisting of RMS (n=133) and NB (n=222) patients, of which latter is a part of the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative for pediatric cancers. First, high-quality protein-coding changing single nucleotide variants (SNVs) were called in both paired germline and tumor genomic DNAs. Then we excluded common variants with frequency & gt;5% in a normal human population using the 1000 Genomes data. Due to our interest in the enriched variants, we further required the frequencies of variants in our rhabdomyosarcoma and neuroblastoma patient cohorts are higher than those in the ESP dataset, a non-cancer control population comprising 6503 individuals. There are 63247 SNVs fulfilled these selection criteria. Among them, 1589 have been reported in these pediatric cancers or in other malignancies in the Cancer Genome Atlas (TCGA) project; and 1178 variants are present in the Human Gene Mutation Database (HGMD). Of these HGMD variants, 49 have been reported in human diseases and 34 of them are known disease-causing mutations for human cancers and genetic disorders including TP53, ALK, CHEK2, and PINK1. Interestingly, the most frequent germline mutations in these pediatric tumors were rarely found in the TCGA project which mostly consists of adult cancers. This observation suggests a very different genetic background of pediatric cancer patients from that of the adult cancers, and warrants a careful examination of germline mutations in these cancers. Furthermore, previous studies have highlighted the importance of expression of variant genes (including tumor suppressor genes) for identification of driver mutations in cancers. Therefore we will use 178 transcriptome sequencing experiments available for these tumors (RMS=84; NB=93) to identify expressed variants in tumor. Statistical and pathway analyses are currently underway to determine potential pathological or casual germline mutations associated with neuroblastoma and rhabdomyosarcoma. Citation Format: Jun S. Wei, Rajesh Patidar, John Shern, Shile Zhang, Trevor Pugh, Sharon J. Diskin, Sivasish Sindiri, Young K. Song, Hongling Liao, Xinyu Wen, Jianjun Wang, Stephen X. Skapek, James R. Anderson, Frederic G. Barr, Robert C. Seeger, John M. Maris, Douglas S. Hawkins, Javed Khan. Systematic identification of germline mutations in rhabdomyosarcoma and neuroblastoma using massively paralleled sequencing. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5081. doi:10.1158/1538-7445.AM2014-5081
    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: 2014
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 3877-3877
    Abstract: Rhabdomyosarcoma (RMS) is the most common soft-tissue sarcoma of childhood and comprises two major subtypes: fusion-positive (FP, most commonly PAX3-FOXO1 [P3F] or PAX7-FOXO1 [P7F] resulting from 2;13 and 1;13 chromosomal translocations) and fusion-negative (FN). Our previous study demonstrated that FP and FN RMS tumors exhibit distinct DNA methylation profiles. To further examine the significance of DNA methylation, we generated genome-wide DNA methylation profiles for a new cohort of 48 RMS tumors for which we previously assessed mutation, copy number and expression status. Investigation of the RMS subsets defined by methylation clustering revealed a significant association of methylation with P3F versus P7F fusion status in the FP subset, and an association of methylation with RAS mutation status in the FN subset. Localization studies of differentially methylated probes showed these probes were not evenly distributed with respect to annotated genomic features. In particular, hypomethylated probes were enriched in FP tumors in the promoter region and in the intergenic region, whereas hypermethylated probes were enriched in these regions in FN tumors. In contrast, hypermethylated probes were enriched in FP tumors in the 3' UTR region whereas hypomethylated probes were enriched in FN tumors in these regions. In our new larger cohort of cases, there was a significant difference in the distribution of P3F binding sites between genes with and without differential methylation. Integrative analysis of P3F binding sites, promoter methylation and gene expression demonstrated that genes with P3F binding sites tended to be more highly expressed in FP tumors (compared to FN tumors) than genes without P3F binding sites regardless of promoter methylation status. Though promoter hypomethylation is most highly associated with enhanced expression among genes with P3F binding sites, the group of genes with P3F binding sites and promoter hypomethylation is small in number compared to the much larger group of genes with P3F binding sites but without promoter hypomethylation. In conclusion, these results demonstrate the interaction of these epigenetic changes with mutational alterations and transcriptional organization in RMS tumors and provide a direction for future studies of these epigenetic events. Citation Format: Wenyue Sun, Bishwanath Chatterjee, Jack F. Shern, Sivasish Sindiri, Yonghong Wang, Holly S. Stevenson, Daniel C. Edelman, Paul S. Meltzer, Javed Khan, Frederic G. Barr. Relationship of DNA methylation to mutational changes and transcriptional organization in fusion-positive and fusion-negative rhabdomyosarcoma tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3877. doi:10.1158/1538-7445.AM2017-3877
    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: 2017
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 1077-1077
    Abstract: With the advent of next-generation sequencing technologies, a variety of structural variant (SV) calling algorithms have been developed. However, these algorithms are generally not sensitive and specific, in part because they are biased toward identification of specific types or lengths of SVs. Thus, concordance among algorithms is often very low. At the National Institute of Standards and Technology (NIST), we have previously rigorously characterized sequencing biases across multiple sequencing platforms for the candidate NIST reference material, RM 8398 (the genome of individual NA12878). This yielded a high-confidence set of SNP and small indel ( & lt;40 bp) variant calls. To extend our methods to SVs, we have developed SVClassify, which classifies SVs as likely true or false positive variants by combining evidence from one or more sequencing datasets. For NA12878, we were able to separate a set of validated deletions from random genomic regions with false positive and false negative rates less than 5%. We also found that the set of validated deletions clustered into different categories, including heterozygous Alu deletions, homozygous Alu deletions, and other heterozygous deletions. Until now, SVClassify has only been used for classification of large deletions on the non-cancerous genome, NA12878. In order to assess the sensitivity and specificity of SVClassify for correctly classifying translocations, we are using the RSVSim R package to simulate different numbers of translocations within repeat regions of the human genome. Furthermore, we will investigate the performance of SVClassify on cancer genomes, particularly pediatric solid tumors, which exhibit extensively rearranged genomes compared to their normal counterparts. To do so, pediatric tumor and normal datasets from multiple sequencing technologies will be integrated. To represent a spectrum of translocations, we will assess variant calls from cancer genomes with varying degrees of rearrangements: neuroblastoma, Ewing sarcoma, and osteosarcoma. Finally, we will use SVclassify to classify candidate SV calls made using the Complete Genomics pipeline, as well as those made on Illumina datasets using the recently developed SMUFIN algorithm. Citation Format: Jo Lynne Harenza, Hemang M. Parikh, Jun S. Wei, Xinyu Wen, Sivasish Sindiri, Rajesh Patidar, Marc Salit, Paul S. Meltzer, Javed Khan, Justin Zook. Use of the SVClassify algorithm to classify pediatric solid tumor translocation variant calls as likely true or false positives. [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 1077. doi:10.1158/1538-7445.AM2015-1077
    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: 2015
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 3445-3445
    Abstract: Malignancy remains the leading cause of disease-related death in children. To identify potential tumor-driving molecular targets and characterize immunogenomic profiles in pediatric cancers, we performed RNA-seq analysis on a cohort of 788 pediatric solid tumors across 14 different diagnoses in conjunction with additional 147 normal tissues for comparison. Sequencing data were analyzed for expressed mutations, fusion events, and expressional patterns, providing therapeutic targets and rich cancer biology for these childhood cancers. Furthermore, we describe a comprehensive and in-depth immunogenomic landscape of these solid tumors including immune cell infiltrate, neoepitope analysis from expressed mutations and fusions, expressional patterns of clinically relevant immune checkpoint genes, expression of tumor-specific genes as potential pharmacological or immunological targets, and T cell receptor repertoire. Across the cohort, we observed a striking correlation between the expressed neoepitope burden in tumors and enrichment of the effector immune signatures. Intriguingly, canonical fusions (e.g. EWS-FLI1) contribute a disproportionally large number of neoepitopes in these typically low mutational tumors. Histology-specific immunogenomic patterns are also apparent. Several of the pediatric cancers such as alveolar soft part sarcoma and osteosarcoma exhibit rich immune cell infiltration and evidence for activated T cell activities, whereas others such as Wilms tumors and synovial sarcoma generally have a very low T cell infiltration. In addition, we demonstrated a significant positive correlation between tumor-infiltrating CD8+ T cells and overall survival in patients with osteosarcoma, revealing the clinical importance of these tumor-infiltrating immune cells in these childhood cancers. Moreover, an orthogonal evaluation of immunopeptidome in osteosarcoma, a cancer type displaying high immune infiltrates, confirmed our transcriptomic findings on potential targetable tumor-specific genes. Finally, we took an adoptive cell therapy-based approach to target a tumor-specific gene PRAME identified by our transcriptomic and immunopeptidomic studies and showed significant in-vitro cytotoxicity using T cells expressing TCRs specifically targeting PRAME in osteosarcoma U2OS cells. Therefore, we demonstrate that RNA-seq is a powerful tool to identify clinically relevant and histology-specific genomic alterations and translationally relevant immunogenomic patterns for pediatric cancers. This study also represents one of the largest of its type to date and provides a framework for future translational efforts in pediatric cancer. Citation Format: Jun S. Wei, Andrew S. Brohl, Sivasish Sindiri, David Milewski, Young K. Song, Sushma Nagaraj, Vineela Gangalapudi, Xinyu Wen, Marc Ladanyi, Javed Khan. Immuno-transcriptomic profiling identifies actionable genomic alterations in pediatric solid malignancies [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3445.
    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: 2020
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