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  • 1
    In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 15-16
    Abstract: Introduction: Venous thromboembolism (VTE) is one of the major causes of mortality among patients with malignancy. It is estimated that around 4-20% of patients with cancer experience venous thrombosis. Typically, low molecular weight heparin (LMWH) is used as an initial agent of choice in VTE except in patients with renal insufficiency who cannot tolerate LMWH and require alternate therapy. Also, despite adequate therapy, VTE recurrence is common among cancer patients. The novel oral anticoagulants (NOACs) have recently been introduced in the treatment of VTE and have shown promising results. We have performed a systemic review of the literature comparing the safety and efficacy profiles of NOACs with LWMH in cancer patients with VTE. Methods: We performed a comprehensive literature search completed on July 7, 2020, on Pubmed, Cochrane library, and ClinicalTrials.gov. We used the MeSH terms: 'venous thrombosis', 'neoplasms', 'rivaroxaban', 'dabigatran', and 'enoxaparin' with associated entry terms. Our search yielded 46 studies. Following PRISMA guidelines and subsequent screening by three reviewers, we shortlisted 5 completed clinical trials (n=2873) and included data from these studies in our systemic review. Results: EINSTEIN-PE investigators (2013, n=223) reported a net clinical benefit (VTE plus major bleeding) in 83 patients (3.4%) vs 96 patients (4%) in the rivaroxaban arm versus control arm (enoxaparin + warfarin/acenocoumarol arm) respectively (HR 0.85 [95% CI 0.63-1.14], p=0.28). Recurrence occurred in 2.1% vs 1.8% (HR 1.12 [95% CI 0.75-1.68] p=0.003). Major bleed events occurred in 1.1% vs 2.2% (HR 0.49 [95% CI 0.31-0.79] p=0.003). Clinically relevant minor bleed events occurred in 9.5% vs 9.8%. Deaths were lower in rivaroxaban arm (20 vs 23). Hokusai-VTE investigators (2013, n=414) reported edoxaban as non-inferior to warfarin when compared the primary efficacy (defined as recurrence of symptomatic VTE) 3.2% vs 3.5% respectively (HR 0.89 [95% CI 0.70 to 1.13] p & lt;0.001). Recurrence occurred in 3.4% vs 3.3% (HR 1.02 [95% CI 0.75-1.38]). Major bleed events occurred in 1.4% vs 1.6% (HR 0.84 [0.59-1.21] P=0.35). Non-major bleed events were significantly lower in edoxaban arm 7.2% vs 8.9% (HR 0.80 [0.68-0.93] p=0.004). 20 participants died in edoxaban arm vs 21 in control. AMPLIFY study (2015, n=169) reported reduced recurrence rate of 3.7% vs 6.4% in apixaban vs conventional therapy (enoxaparin + warfarin) respectively (RR 0.56 [95% CI 0.13-2.37]). Major bleed events weremore common in controls 2.9% vs 5% (RR 0.45 [95% CI 0.08-2.46] ). Non major bleed events occurred in 12.6% vs 22.5% (RR 0.57 [95% CI 0.29-1.12]). Three vs five deaths occurred in apixaban arm vs conventional therapy respectively. MAGELLAN study (2013, n=592) reported a better net clinical benefit (defined as primary efficacy outcome up to 10 days or safety outcome up to 35 days) of 9.4% vs 7.8% in rivaroxaban vs enoxaparin respectively. Recurrence was low in rivaroxaban (4.8% vs 6.4%). Major bleed events occurred more commonly in rivaroxaban arm 2.85% vs 0.95% (RR 2.9 [95% CI 1.60-5.15] p & lt;0.001). Non-major bleed events were more frequent with rivaroxaban 1.25% vs 0.72% (RR 2.5 [1.85- 3.25] p & lt;0.001). Deaths occurred in 2.2% vs 2% in intervention vs control. ADAM VTE (2020, n=300) reported recurrence in 0.7% vs 6.3% in apixaban vs dalteparin respectively (HR 0.099 [95% CI 0.013-0.78] p=0.0281). Major bleed events noted in 0 vs 1.4% (p=0.138) and clinically relevant non-major bleed events noted in 6.2% vs 4.2% patients in the apixaban vs control respectively. Deaths were more common in apixaban group 23 (16%) vs dalteparin group 15 (11%). Conclusion: NOACs have comparable efficacy to conventional LMWH based treatment options and are feasible alternate therapy for VTE in patients with cancer. Apixaban so far has demonstrated better efficacy profile among the NOACs. However, the data at present is conflicting regarding safety profile. Large double-blinded randomized clinical trials are required to confirm the safety profile. Disclosures Anwer: Incyte, Seattle Genetics, Acetylon Pharmaceuticals, AbbVie Pharma, Astellas Pharma, Celegene, Millennium Pharmaceuticals.:Honoraria, Research Funding, Speakers Bureau.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2020
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 3018-3018
    Abstract: 3018 Background: Diagnosis and classification of tumors is becoming increasingly dependent on biological and molecular biomarkers. RNA expression profiling using next generation sequencing (NGS) provides information on various biological and molecular changes in the cancer and in the microenvironment. We explored the potential of using targeted transcriptome and artificial intelligence (AI) in the differential diagnosis and classification of various hematologic and solid tumors. Methods: RNA from hematologic neoplasms (N = 2606) and solid tumors (N = 2038) as well as normal bone marrow and lymph node control (N = 806) were sequenced by NGS using a targeted 1408-gene panel. The hematologic neoplasms included 20 different subtypes. Solid tumors included 24 different subtypes. Machine learning is used for comparing two classes at a time. Geometric Mean Naïve Bayesian (GMNB) classifier is used to provide differential diagnosis across 45 diagnostic entities with assigned ranking. Results: Machine learning showed high accuracy in distinguishing between two diagnoses with AUC varied between 1 (Sarcoma vs GIST) and 0.841 (MDS vs normal control) (examples in Table). For differential diagnosis between all 45 different diagnoses, we used 3045 samples for training the GMNB algorithm and 1415 samples for testing. Correct first choice diagnosis was obtained in 100% of ALL, 88% of AML, 85% of DLBCL, 82% of colorectal cancer, 88% of lung cancer, 72% of CLL, and 72% of follicular lymphoma. The algorithm had difficulty in typically overlapping diagnoses and diagnosed as first choice 19% of MDS, 46% of normal, and 12% of MPN. Diagnosis improved significantly when second choice was considered. Conclusions: Targeted RNA profiling with proper AI can provide highly useful tools for the pathologic diagnosis and classification of various cancers. Additional information such as mutation profile and clinical information can improve these algorithms, reduce subjectivity, and minimize errors in pathologic diagnoses. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2008
    In:  Journal of Urology Vol. 179, No. 4S ( 2008-04), p. 685-686
    In: Journal of Urology, Ovid Technologies (Wolters Kluwer Health), Vol. 179, No. 4S ( 2008-04), p. 685-686
    Type of Medium: Online Resource
    ISSN: 0022-5347 , 1527-3792
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    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2008
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  • 4
    In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 13-13
    Abstract: Introduction: In Multiple Myeloma (MM), nuclear exporter exportin-1 (XPO1) is a target for selinexor. Selinexor has a promising efficacy and a favorable safety profile in relapsed refractory MM. This systemic review aims to explore the efficacy and safety of selinexor based regimens for the treatment of relapsed refractory multiple myeloma (RRMM). Materials and Methods: We conducted a literature search using four databases (PubMed, Embase, Cochrane library, and ClinicalTrials.gov). Our search strategy included MeSH (Medical Subject Headings) terms and keywords for multiple myeloma and Selinexor including trade and generic names from the date of inception to April 13, 2020. Initial databases yielded 115 articles. After excluding review articles, duplicates, and non-relevant articles, we included six clinical trials reporting the efficacy of Selinexor in RRMM. Results: Among a total of 310 enrolled patients, 288 patients were evaluated. Selinexor was given in combination with dexamethasone to 207 and as three drug regimens to 103 RRMM patients. Chen et al. studied the efficacy of selinexor plus dexamethasone (d) in RRMM pts (n=70) in phase I trial achieved an overall response rate (ORR) of 10%, stable disease (SD) of 31% and progressive disease (PD) of 27%. Similarly, Chari et al. studied selinexor + dexamethasone in RRMM pts (n=122) in phase IIb trial, and observed ORR of 28%. The median overall survival (OS) was 8.6 months (95% CI, 6.2 to 11.3) and a median progression-free survival (PFS) was 3.7 months (95% CI, 3.0 to 5.3) with SD of 39% and PD of 21%. Chen et al. studied selinexor in combination with pomalidomide (P) + d in RRMM patients (n=46), achieved an ORR of 50% and the median PFS of 10.4 months. The disease was stable in 24% of patients with a low rate of progression i.e. 2%. In a phase Ib/II trial using selinexor + carfilzomib + d by Gasparetto et al. (n=12), the ORR was 75%, with SD of 16.67%. Selinexor in combination with doxorubicin and d was studied in phase I/II trial by Baz et al. (n=27) with ORR of 15% and SD in 30% of patients. Brojil et al. reported the role of selinexor + bortezomib + d in RRMM (n=11) in phase II trial with partial response (PR) of 80%. The median PFS was 17 months and one-year overall survival (OS) was 100%. The majority of hematological adverse effects were pancytopenia. The main non-hematological adverse effects were pneumonia, and peripheral sensory neuropathy. Conclusion:Selinexor showed promising outcomes in terms of ORR for the treatment of RRMM. The responses in selinexor based three-drug regimens were observed higher as compared to two-drug regimens, providing a benchmark for future studies. Table Disclosures Anwer: Incyte, Seattle Genetics, Acetylon Pharmaceuticals, AbbVie Pharma, Astellas Pharma, Celegene, Millennium Pharmaceuticals.:Honoraria, Research Funding, Speakers Bureau.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2020
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 5
    In: Journal of Allergy and Clinical Immunology, Elsevier BV, Vol. 148, No. 5 ( 2021-11), p. 1176-1191
    Type of Medium: Online Resource
    ISSN: 0091-6749
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2006613-2
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  • 6
    Online Resource
    Online Resource
    Elsevier BV ; 2002
    In:  The Journal of Molecular Diagnostics Vol. 4, No. 1 ( 2002-2), p. 37-43
    In: The Journal of Molecular Diagnostics, Elsevier BV, Vol. 4, No. 1 ( 2002-2), p. 37-43
    Type of Medium: Online Resource
    ISSN: 1525-1578
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2002
    detail.hit.zdb_id: 2032654-3
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  • 7
    In: The American Journal of Pathology, Elsevier BV, Vol. 193, No. 1 ( 2023-01), p. 51-59
    Type of Medium: Online Resource
    ISSN: 0002-9440
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1480207-7
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  • 8
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2001
    In:  American Journal of Clinical Pathology Vol. 115, No. 5 ( 2001-05), p. 650-655
    In: American Journal of Clinical Pathology, Oxford University Press (OUP), Vol. 115, No. 5 ( 2001-05), p. 650-655
    Type of Medium: Online Resource
    ISSN: 0002-9173 , 1943-7722
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2001
    detail.hit.zdb_id: 2039921-2
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  • 9
    Online Resource
    Online Resource
    Archives of Pathology and Laboratory Medicine ; 2008
    In:  Archives of Pathology & Laboratory Medicine Vol. 132, No. 3 ( 2008-03-01), p. 462-475
    In: Archives of Pathology & Laboratory Medicine, Archives of Pathology and Laboratory Medicine, Vol. 132, No. 3 ( 2008-03-01), p. 462-475
    Abstract: Context.—The diagnosis and classification of leukemia is becoming increasingly complex. Current classification schemes incorporate morphologic features, immunophenotype, molecular genetics, and clinical data to specifically categorize leukemias into various subtypes. Although sophisticated methodologies are frequently used to detect characteristic features conferring diagnostic, prognostic, or therapeutic implications, a thorough microscopic examination remains essential to the pathologic evaluation. Detailed blast immunophenotyping can be performed with lineage- and maturation-specific markers. Although no one marker is pathognomonic for one malignancy, a well-chosen panel of antibodies can efficiently aid the diagnosis and classification of acute leukemias. Objective.—To review important developments from recent and historical literature. General immunohistochemical staining patterns of the most commonly encountered lymphoid and myeloid leukemias are emphasized. The goal is to discuss the immunostaining of acute leukemias when flow cytometry and genetic studies are not available. Data Sources.—A comprehensive review was performed of the relevant literature indexed in PubMed (National Library of Medicine) and referenced medical texts. Additional references were identified in the reviewed manuscripts. Conclusions.—Immunophenotyping of blasts using an immunohistochemical approach to lymphoid and myeloid malignancies is presented. Initial and subsequent additional antibody panels are suggested to confirm or exclude each possibility in the differential diagnosis and a general strategy for diagnostic evaluation is discussed. Although the use of immunohistochemistry alone is limited and evaluation by flow cytometry and genetic studies is highly recommended, unavoidable situations requiring analysis of formalin-fixed tissue specimens arise. When performed in an optimized laboratory and combined with a careful morphologic examination, the immunohistochemical approach represents a useful laboratory tool for classifying various leukemias.
    Type of Medium: Online Resource
    ISSN: 1543-2165 , 0003-9985
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    Language: English
    Publisher: Archives of Pathology and Laboratory Medicine
    Publication Date: 2008
    detail.hit.zdb_id: 2028916-9
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2000
    In:  Human Pathology Vol. 31, No. 11 ( 2000-11), p. 1397-1403
    In: Human Pathology, Elsevier BV, Vol. 31, No. 11 ( 2000-11), p. 1397-1403
    Type of Medium: Online Resource
    ISSN: 0046-8177
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    Language: Unknown
    Publisher: Elsevier BV
    Publication Date: 2000
    detail.hit.zdb_id: 2041481-X
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