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  • 1
    In: Cancers, MDPI AG, Vol. 13, No. 24 ( 2021-12-07), p. 6161-
    Abstract: Overexpression of Exportin-1 (XPO1), a key regulator of nuclear-to-cytoplasmic transport, is associated with inferior patient outcomes across a range of adult malignancies. Targeting XPO1 with selinexor has demonstrated promising results in clinical trials, leading to FDA approval of its use for multiple relapsed/refractory cancers. However, XPO1 biology and selinexor sensitivity in childhood cancer is only recently being explored. In this review, we will focus on the differential biology of childhood and adult cancers as it relates to XPO1 and key cargo proteins. We will further explore the current state of pre-clinical and clinical development of XPO1 inhibitors in childhood cancers. Finally, we will outline potentially promising future therapeutic strategies for, as well as potential challenges to, integrating XPO1 inhibition to improve outcomes for children with cancer.
    Type of Medium: Online Resource
    ISSN: 2072-6694
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
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  • 2
    In: Cell, Elsevier BV, Vol. 179, No. 7 ( 2019-12), p. 1469-1482.e11
    Type of Medium: Online Resource
    ISSN: 0092-8674
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
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    detail.hit.zdb_id: 2001951-8
    SSG: 12
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  • 3
    In: Modern Pathology, Elsevier BV, Vol. 33, No. 10 ( 2020-10), p. 1910-1921
    Type of Medium: Online Resource
    ISSN: 0893-3952
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 4
    In: Pediatric and Developmental Pathology, SAGE Publications, Vol. 20, No. 5 ( 2017-09), p. 394-402
    Abstract: A subset of patients with neuroblastoma are at extremely high risk for treatment failure, though they are not identifiable at diagnosis and therefore have the highest mortality with conventional treatment approaches. Despite tremendous understanding of clinical and biological features that correlate with prognosis, neuroblastoma at ultra-high risk for treatment failure remains a diagnostic challenge. As a first step towards improving prognostic risk stratification within the high-risk group of patients, we determined the feasibility of using computerized image analysis and proteomic profiling on single slides from diagnostic tissue specimens. After expert pathologist review of tumor sections to ensure quality and representative material input, we evaluated multiple regions of single slides as well as multiple sections from different patients’ tumors using computational histologic analysis and semiquantitative proteomic profiling. We found that both approaches determined that intertumor heterogeneity was greater than intratumor heterogeneity. Unbiased clustering of samples was greatest within a tumor, suggesting a single section can be representative of the tumor as a whole. There is expected heterogeneity between tumor samples from different individuals with a high degree of similarity among specimens derived from the same patient. Both techniques are novel to supplement pathologist review of neuroblastoma for refined risk stratification, particularly since we demonstrate these results using only a single slide derived from what is usually a scarce tissue resource. Due to limitations of traditional approaches for upfront stratification, integration of new modalities with data derived from one section of tumor hold promise as tools to improve outcomes.
    Type of Medium: Online Resource
    ISSN: 1093-5266 , 1615-5742
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
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  • 5
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 5 ( 2021-11), p. 1840-1852
    Abstract: Molecular tumor profiling is becoming a routine part of clinical cancer care, typically involving tumor-only panel testing without matched germline. We hypothesized that integrated germline sequencing could improve clinical interpretation and enhance the identification of germline variants with significant hereditary risks. MATERIALS AND METHODS Tumors from pediatric patients with high-risk, extracranial solid malignancies were sequenced with a targeted panel of cancer-associated genes. Later, germline DNA was analyzed for a subset of these genes. We performed a post hoc analysis to identify how an integrated analysis of tumor and germline data would improve clinical interpretation. RESULTS One hundred sixty participants with both tumor-only and germline sequencing reports were eligible for this analysis. Germline sequencing identified 38 pathogenic or likely pathogenic variants among 35 (22%) patients. Twenty-five (66%) of these were included in the tumor sequencing report. The remaining germline pathogenic or likely pathogenic variants were single-nucleotide variants filtered out of tumor-only analysis because of population frequency or copy-number variation masked by additional copy-number changes in the tumor. In tumor-only sequencing, 308 of 434 (71%) single-nucleotide variants reported were present in the germline, including 31% with suggested clinical utility. Finally, we provide further evidence that the variant allele fraction from tumor-only sequencing is insufficient to differentiate somatic from germline events. CONCLUSION A paired approach to analyzing tumor and germline sequencing data would be expected to improve the efficiency and accuracy of distinguishing somatic mutations and germline variants, thereby facilitating the process of variant curation and therapeutic interpretation for somatic reports, as well as the identification of variants associated with germline cancer predisposition.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 6
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 7 ( 2023-03)
    Abstract: Osteosarcoma risk stratification, on the basis of the presence of metastatic disease at diagnosis and histologic response to chemotherapy, has remained unchanged for four decades, does not include genomic features, and has not facilitated treatment advances. We report on the genomic features of advanced osteosarcoma and provide evidence that genomic alterations can be used for risk stratification. MATERIALS AND METHODS In a primary analytic patient cohort, 113 tumor and 69 normal samples from 92 patients with high-grade osteosarcoma were sequenced with OncoPanel, a targeted next-generation sequencing assay. In this primary cohort, we assessed the genomic landscape of advanced disease and evaluated the correlation between recurrent genomic events and outcome. We assessed whether prognostic associations identified in the primary cohort were maintained in a validation cohort of 86 patients with localized osteosarcoma tested with MSK-IMPACT. RESULTS In the primary cohort, 3-year overall survival (OS) was 65%. Metastatic disease, present in 33% of patients at diagnosis, was associated with poor OS ( P = .04). The most frequently altered genes in the primary cohort were TP 53, RB1, MYC, CCNE1, CCND3, CDKN2A/B, and ATRX. Mutational signature 3 was present in 28% of samples. MYC amplification was associated with a worse 3-year OS in both the primary cohort ( P = .015) and the validation cohort ( P = .012). CONCLUSION The most frequently occurring genomic events in advanced osteosarcoma were similar to those described in prior reports. MYC amplification, detected with clinical targeted next-generation sequencing panel tests, is associated with poorer outcomes in two independent cohorts.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 3104-3104
    Abstract: The GAIN iCat2 Project is a collaboration between Dana-Farber/Boston Children's Cancer and Blood Disorder Center and eleven pediatric oncology centers across the United States to sequence relapsed, metastatic, difficult-to-diagnose, and high-risk extracranial solid tumors from 825 patients. The goals are to gain a better understanding of the genomic events in pediatric cancers and determine the clinical impact of matched targeted therapy. Tumor samples are sequenced on one of four gene panels performed in CLIA certified, CAP accredited laboratories, most often utilizing OncoPanel at the Center for Advanced Molecular Diagnostics, Brigham Women’s Hospital. This panel assesses SNVs and CNVs in 447 cancer-associated genes and interrogates intronic regions of 60 genes frequently involved in oncogenic translocation. For undifferentiated sarcomas and tumors in which oncogenic drivers are not identified by the gene panel, whole exome sequencing or RNA sequencing for fusion detection may be done. Interpretation of genomic results, including potential implications for diagnosis and hereditary risks, as well as assessment of possible matched targeted therapies and suitable trials are summarized in a report to the primary oncology provider. An interim analysis of tumors from the first 275 patients enrolled who have OncoPanel results was performed to assess genomic alterations most prevalent in this group of pediatric cancers. 50% (137/275) have structural alterations in their tumors with over half of these (74/137) harboring an oncogenic fusion that is the main, or only identified, driver of the cancer. These include fusions pathognomonic for diseases such as Ewing sarcoma, alveolar rhabdomyosarcoma, synovial sarcoma, desmoplastic small round cell tumors, mesenchymal chondrosarcoma, low grade fibromyxoid sarcoma, and NUT midline carcinoma. Other cases showed recurrent disruption of key tumor suppressors, such as TP53 intron 1 translocations in osteosarcoma. Lastly, more generalized, key, cancer-driving fusions were seen with rearrangements involving BRAF, NOTCH, and NTRK. In addition to aiding in diagnosis, identification of fusions has led to targeted therapy recommendations for many patients. SNVs and CNVs also helped clarify diagnoses, especially in the case of DICER1 and SMARCB1 alterations, and identified potential targeted therapies to consider for relapsed patients. Although patient recruitment is ongoing, this study shows promise for advancing our understanding and treatment of pediatric cancers and highlights the critical importance of incorporating techniques for fusion detection in tumor profiling. Citation Format: Laura B. Corson, Alma Imamovic-Tuco, Gianna R. Strand, Deirdre Reidy, Duong Doan, Mark A. Applebaum, Rochelle Bagatell, Brian D. Crompton, Steven G. DuBois, Julia L. Glade Bender, AeRang Kim, Theodore W. Laetsch, Lobin A. Lee, Neal I. Lindeman, Laura E. MacConaill, Margaret E. Macy, Luke Maese, Seth Pinches, Navin Pinto, Amit J. Sabnis, Eliezer M. Van Allen, Susan I. Vear, Daniel A. Weiser, Catherine M. Clinton, Katherine A. Janeway, Alanna J. Church. A high prevalence of chromosomal translocations as drivers in high-risk pediatric solid cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3104.
    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: 2019
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  • 8
    In: Nature Medicine, Springer Science and Business Media LLC, Vol. 28, No. 8 ( 2022-08), p. 1581-1589
    Type of Medium: Online Resource
    ISSN: 1078-8956 , 1546-170X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 14_Supplement ( 2020-07-15), p. B13-B13
    Abstract: Introduction: Gene fusions are important oncogenic drivers with significant clinical impact in some cancer types. This is particularly true in pediatric cancers that often have low mutational burden and lack other diagnostic markers and therapeutic targets. Many gene fusions are rare or private to the individual patient and can be difficult to detect with methods optimized for common fusions. Unbiased sequencing methods and expansive computational resources are needed for expanding our ability to characterize fusions. Building a comprehensive catalog of oncogenic gene fusions will improve our understanding of their diversity and fully harness their potential for clinical impact. Methods: Patients are eligible for the GAIN/iCat2 study if they have been diagnosed with high-risk or recurrent/refractory extracranial solid tumor at age 30 or less and have a sample available for sequencing. Enrolled patients with an unclear diagnosis after standard clinical testing are nominated for transcriptome sequencing by the study investigators. We developed a computational pipeline in Google Cloud for gene fusion discovery utilizing paired end Illumina RNA-Seq data, multiple fusion callers, and a custom algorithm for integrative data analysis. The multicaller fusion detection approach enables us to address the high false-positive rate typical for gene fusion calling in transcriptomic data while improving the sensitivity to detect the more challenging fusions. After filtering, the fusions are annotated using the databases of known fusions and cancer genes. The predicted fusion transcripts are inspected visually, and the fusions are selected based on relevance to diagnostic classification or therapy to be validated by an orthogonal method. Results: 41 tumor samples were sequenced and analyzed for gene fusions. A total of 203 candidate fusions were detected by two or more fusion callers. Based on functional annotations and potential impact on diagnosis or therapeutic approaches, 12 fusion transcripts of interest were identified, 10 of which were validated by either pre-enrollment testing or an orthogonal method. Of 16 mesenchymal cases, 6 validated fusions had diagnostic relevance and 3 validated fusions had therapeutic implications (ERC1-BRAF, RBPMS-NTRK2, and VCAN-IL23R). Two patients responded to matched targeted therapy. In one case, diagnostic classification was revised. Conclusions: Whole-transcriptome sequencing in this selected patient population identified some fusion transcripts with clinical relevance. Determining the biologic significance of previously unreported fusions will require orthogonal sequencing such as whole genome, functional studies, and analysis of larger patient populations. Improved accuracy and scalability of methods for large-scale gene fusion analysis in the growing public datasets are likely to expand the landscape of gene fusions in cancer. Citation Format: Alma Imamovic, Alanna J. Church, Laura B. Corson, Deirdre Reidy, Navin Pinto, Luke Maese, Theodore W. Laetsch, AeRang Kim, Susan I. Vear, Margaret E. Macy, Mark A. Applebaum, Rochelle Bagatell, Amit J. Sabnis, Daniel A. Weiser, Julia L. Glade-Bender, Gianna R. Strand, Lobin A. Lee, R. Seth Pinches, Catherine M. Clinton, Brian D. Crompton, Neal I. Lindeman, Steven G. DuBois, Katherine A. Janeway, Eliezer M. Van Allen. Leveraging cloud-based computational resources for gene fusion discovery with potential clinical implications for pediatric solid tumor patients [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B13.
    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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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 14_Supplement ( 2020-07-15), p. A59-A59
    Abstract: Introduction: Molecular techniques have been incorporated into the diagnostic algorithms for many specific tumors, but the diagnostic role of next-generation sequencing has not been described at a population level. We report diagnostically relevant alterations identified by large-scale sequencing in a prospective cohort of pediatric solid tumors. Methods and Objectives: Patients are eligible for the GAIN / iCat2 study if they have a high-risk, recurrent, or refractory extracranial solid tumor diagnosed at age 30 or less and have an adequate sample for sequencing available. After informed consent, tumor was sequenced using a next-generation sequencing assay that evaluates 447 genes and includes data about sequence variants, copy number alterations, and, in selected genes, translocations. Some cases received additional sequencing via RNASeq or targeted RNA sequencing for further evaluation of fusions. Diagnostic relevance was determined according to AMP/ASCO/CAP standards and guidelines for the reporting of sequence variants in cancer. Results: 349 patients were enrolled as of December 31, 2018, and had tumor tissue successfully sequenced. These patients represent 60 unique diagnoses according to the WHO ICD-O classification. The most common single diagnoses were osteosarcoma (n=64), Ewing sarcoma (n=44), and alveolar rhabdomyosarcoma (n=32). For 349 patients, 184 (53%) had one or more genetic alterations that were diagnostically relevant, of which 159 (86%) were structural variants, 16 (8%) were sequence variants, and 9 (5%) were copy number variations. Alterations of high diagnostic relevance include CIC-DUX4 fusions in sarcoma (n=8), TP53 intron 1 rearrangements in osteosarcoma (n=26), DICER1 sequence variants in various tumors (n=7), and BCOR internal tandem duplications in clear-cell sarcoma of kidney and primitive myxoid mesenchymal tumor of infancy (n=3). Conclusions: Diagnostically relevant alterations were identified in over half of pediatric solid tumor patients evaluated. Gene fusions are particularly prevalent. These results support a role for sequencing that includes robust fusion assessment to inform diagnosis in patients with pediatric solid tumors. Citation Format: Alanna J. Church, Laura B. Corson, Alma Imamovic-Tuco, Gianna R. Strand, Dierdre Reidy, Duong Doan, Robert S. Pinches, Mark A. Applebaum, Rochelle Bagatell, Brian D. Crompton, Steven G. DuBois, Julia L. Glade Bender, Theodore W. Laetsch, Lobin A. Lee, Neal I. Lindeman, Marian H. Harris, Margaret E. Macy, Luke Maese, Navin Pinto, Amit J. Sabnis, Eliezer M. Van Allen, Susan I. Vear, Daniel A. Weiser, Catherine M. Clinton, Katherine A. Janeway. Sequencing identifies diagnostically relevant alterations in pediatric solid tumor patients [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr A59.
    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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