Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0023473 (chronic myeloid leukemia)
 18,916 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Of all the diseases affecting humankind, cancer is one of the most difficult to treat and cure. One of the main reasons for this difficulty relates to the fact that cancer is not a single disease but consists of hundreds of different types. Furthermore, cancers exhibit considerable genetic complexity with more than 400 different genes implicated in their development. In addition, cancers display major inter- and intratumor heterogeneity. Despite these complexities, several successes have been achieved in recent years. Most of these successes relate to the specific targeting of driver genes involved in cancer development. These successes include imatinib for the treatment of chronic myeloid leukemia, anti-HER2 therapies (trastuzumab, pertuzumab, and lapatinib) to treat breast cancer, anti-EGFR tyrosine kinase inhibitors (gefitinib and erlotinib) to treat non-small cell lung cancer, and anti-BRAF agents (vemurafenib and dabrafenib) to treat melanoma. Although the war on cancer has not yet been won, neither has it been lost. With continued basic and clinical research, cancer is being transformed into a chronic disease in which patients have increased survival rates and better quality of life.
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PMID:The war on cancer: are we winning? 2356 4

Langerhans cell sarcoma (LCS) is a rare malignancy requiring differential diagnosis from other high-grade nonhematologic and hematologic tumors. The pathogenesis of LCS remains unknown. Notably, LCS and its benign counterpart, Langerhans cell histiocytosis (LCH), are frequently associated with other malignancies. To the best of our knowledge, we describe the first case of LCS in a chronic myelogenous leukemia (CML) patient undergoing imatinib mesylate therapy. We performed molecular cytogenetic analyses for investigating the association between LCS and CML. In our case, molecular cytogenetic analysis did not reveal BCR-ABL1 fusion and BRAF V600E mutation, suggesting that LCS may be coincident in this patient. However, recurrent BRAF V600E mutation has been found in LCH. Published reports have revealed the clonal relationship between LCH/LCS and other hematologic malignancies, especially lymphoid neoplasms. However, there are only 2 reports demonstrating the clonal relationship between LCH and myeloid neoplasms. The association of LCH/LCS with myeloid neoplasms and the role of BRAF V600E mutation in LCS are discussed.
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PMID:Langerhans Cell Sarcoma in a Chronic Myelogenous Leukemia Patient Undergoing Imatinib Mesylate Therapy: A Case Study and Review of the Literature. 2400 37

The development of targeted therapies has revolutionized the treatment of cancer patients. The identification of "druggable" oncogenic kinases and the creation of small-molecule inhibitors designed to specifically target these mutant kinases have become an important therapeutic paradigm across several different malignancies. Often these inhibitors induce dramatic clinical responses in molecularly defined cohorts. However, resistance to such targeted therapies is an inevitable consequence of this therapeutic approach. Resistance can be either primary (de novo) or acquired. Mechanisms leading to primary resistance may be categorized as tumor intrinsic factors or as patient/drug-specific factors. Acquired resistance may be mediated by target gene modification, activation of "bypass tracks" that serve as compensatory signaling loops, or histologic transformation. This brief review is a snapshot of the complex problem of therapeutic resistance, with a focus on resistance to kinase inhibitors in EGF receptor mutant and ALK rearranged non-small cell lung cancer, BRAF-mutant melanoma, and BCR-ABL-positive chronic myeloid leukemia. We describe specific mechanisms of primary and acquired resistance and then review emerging strategies to delay or overcome drug resistance.
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PMID:Molecular pathways: resistance to kinase inhibitors and implications for therapeutic strategies. 2478 32

The recent discovery of oncogenic drivers and subsequent development of novel targeted strategies has significantly added to the therapeutic armamentarium of anti-cancer therapies. Targeting BCR-ABL in chronic myeloid leukemia (CML) or HER2 in breast cancer has led to practice-changing clinical benefits, while promising therapeutic responses have been achieved by precision medicine approaches in EGFR mutant lung cancer, colorectal cancer and BRAF mutant melanoma. However, although initial therapeutic responses to targeted therapies can be substantial, many patients will develop disease progression within 6-12 months. An increasing application of powerful omics-based approaches and improving preclinical models have enabled the rapid identification of secondary resistance mechanisms. Herein, we discuss how this knowledge has translated into rational, novel treatment strategies for relapsed patients in genomically selected cancer populations.
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PMID:Overcoming Resistance to Targeted Therapies in Cancer. 2661 34

Realization of precision medicine ideas requires significant research effort to be able to spot subtle differences in complex diseases at the molecular level to develop personalized therapies. It is especially important in many cases of highly heterogeneous cancers. Precision diagnostics and therapeutics of such diseases demands interrogation of vast amounts of biological knowledge coupled with novel analytic methodologies. For instance, pathway-based approaches can shed light on the way tumorigenesis takes place in individual patient cases and pinpoint to novel drug targets. However, comprehensive analysis of hundreds of pathways and thousands of genes creates a combinatorial explosion, that is challenging for medical practitioners to handle at the point of care. Here we extend our previous work on mapping clinical omics data to curated Resource Description Framework (RDF) knowledge bases to derive influence diagrams of interrelationships of biomarker proteins, diseases and signal transduction pathways for personalized theranostics. We present RDF Sketch Maps - a computational method to reduce knowledge complexity for precision medicine analytics. The method of RDF Sketch Maps is inspired by the way a sketch artist conveys only important visual information and discards other unnecessary details. In our case, we compute and retain only so-called RDF Edges - places with highly important diagnostic and therapeutic information. To do this we utilize 35 maps of human signal transduction pathways by transforming 300 KEGG maps into highly processable RDF knowledge base. We have demonstrated potential clinical utility of RDF Sketch Maps in hematopoietic cancers, including analysis of pathways associated with Hairy Cell Leukemia (HCL) and Chronic Myeloid Leukemia (CML) where we achieved up to 20-fold reduction in the number of biological entities to be analyzed, while retaining most likely important entities. In experiments with pathways associated with HCL a generated RDF Sketch Map of the top 30% paths retained important information about signaling cascades leading to activation of proto-oncogene BRAF, which is usually associated with a different cancer, melanoma. Recent reports of successful treatments of HCL patients by the BRAF-targeted drug vemurafenib support the validity of the RDF Sketch Maps findings. We therefore believe that RDF Sketch Maps will be invaluable for hypothesis generation for precision diagnostics and therapeutics as well as drug repurposing studies.
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PMID:RDF SKETCH MAPS - KNOWLEDGE COMPLEXITY REDUCTION FOR PRECISION MEDICINE ANALYTICS. 2677 5

Chronic myeloid leukemia (CML) treatment with BCR-ABL inhibitors is often hampered by development of drug resistance. In a screen for novel chemotherapeutic drug candidates with genotoxic activity, we identified a bisindolylmaleimide derivative, IX, as a small molecule compound with therapeutic potential against CML including drug-resistant CML. We show that Bisindolylmaleimide IX inhibits DNA topoisomerase, generates DNA breaks, activates the Atm-p53 and Atm-Chk2 pathways, and induces cell cycle arrest and cell death. Interestingly, Bisindolylmaleimide IX is highly effective in targeting cells positive for BCR-ABL. BCR-ABL positive cells display enhanced DNA damage and increased cell cycle arrest in response to Bisindolylmaleimide IX due to decreased expression of topoisomerases. Cells positive for BCR-ABL or drug-resistant T315I BCR-ABL also display increased cytotoxicity since Bisindolylmaleimide IX inhibits B-Raf and the downstream oncogene addiction pathway. Mouse cancer model experiments showed that Bisindolylmaleimide IX, at doses that show little side effect, was effective in treating leukemia-like disorders induced by BCR-ABL or T315I BCR-ABL, and prolonged the lifespan of these model mice. Thus, Bisindolylmaleimide IX presents a novel drug candidate to treat drug-resistant CML via activating BCR-ABL-dependent genotoxic stress response and inhibiting the oncogene addiction pathway activated by BCR-ABL.
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PMID:Identification of Bisindolylmaleimide IX as a potential agent to treat drug-resistant BCR-ABL positive leukemia. 2756 1

Rapid and affordable tumor profiling has led to an explosion of genomic data that is facilitating the development of new cancer therapies. The potential of therapeutic strategies aimed at inactivating the oncogenic lesions that contribute to the aberrant survival and proliferation of tumor cells has yielded remarkable success in some malignancies such as BRAF-mutant melanoma and BCR-ABL expressing chronic myeloid leukemia. However, the direct inhibition of several well-established oncoproteins in some of these cancers is not possible or produces only transient benefits. Functional genomics represents a powerful approach for the identification of vulnerabilities linked to specific genetic alterations and has provided substantial insights into cancer signaling networks. Still, as inhibition of gene function can have diverse effects on both tumor and normal tissues, information on the potency of target inhibition on tumor growth as well as the toxic side effects of target inhibition are also needed. Here, we discuss our RNA interference (RNAi) pipeline for cancer target discovery based on our optimized short-hairpin RNA (shRNA) tools for negative selection screens and inducible RNAi platform that, in combination with embryonic stem cell (ESC)-based genetically engineered mouse models (GEMMs), enable deep in vivo target validation.
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PMID:A Pipeline for Drug Target Identification and Validation. 2805 48

Myeloproliferative neoplasms (MPNs) are clonal hematopoietic stem cell (HSC) disorders that can be classified on the basis of genetic, clinical, phenotypic features. Genetic lesions such as JAK2 mutations and BCR-ABL translocation are often mutually exclusive in MPN patients and lead to essential thrombocythemia, polycythemia vera, or myelofibrosis or chronic myeloid leukemia, respectively. Nevertheless, coexistence of these genetic aberrations in the same patient has been reported. Whether these aberrations occur in the same stem cell or a different cell is unclear, but an unstable genome in the HSCs seems to be the common antecedent. In an effort to characterize the underlying genetic events that might contribute to the appearance of more than one MPN in a patient, we studied neoplastic cells from patients with dual MPNs by next-generation sequencing. We observed that most patients with two MPNs harbored mutations in genes known to contribute to clonal hematopoiesis through altered epigenetic regulation such as TET2, ASXL1/2, SRSF2, and IDH2 at varying frequencies (1%-47%). In addition, we found that some patients also harbored oncogenic mutations in N/KRAS, TP53, BRAF, EZH2, and GNAS at low frequencies, which probably represent clonal evolution. These findings support the hypothesis that hematopoietic cells from MPN patients harbor multiple genetic aberrations, some of which can contribute to clonal dominance. Acquiring mutations in JAK2/CALR/MPL or the BCR-ABL translocation probably drive the oncogenic phenotype towards a specific MPN. Further, we propose that the acquisition of BCR-ABL in these patients is frequently a secondary event resulting from an unstable genome.
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PMID:Clinical characteristics and whole exome/transcriptome sequencing of coexisting chronic myeloid leukemia and myelofibrosis. 2833 73

Genomic analysis has greatly influenced the diagnosis and clinical management of patients affected by diverse forms of hematologic malignancies. Here, we review how genetic alterations define subclasses of patients with acute leukemias, myelodysplastic syndromes (MDS), myeloproliferative neoplasms (MPNs), non-Hodgkin lymphomas, and classical Hodgkin lymphoma. These include new subtypes of acute myeloid leukemia defined by mutations in RUNX1 or BCR-ABL1 translocations as well as a constellation of somatic structural DNA alterations in acute lymphoblastic leukemia. Among patients with MDS, detection of mutations in SF3B1 define a subgroup of patients with the ring sideroblast form of MDS and a favorable prognosis. For patients with MPNs, detection of the BCR-ABL1 fusion delineates chronic myeloid leukemia from classic BCR-ABL1- MPNs, which are largely defined by mutations in JAK2, CALR, or MPL In the B-cell lymphomas, detection of characteristic rearrangements involving MYC in Burkitt lymphoma, BCL2 in follicular lymphoma, and MYC/BCL2/BCL6 in high-grade B-cell lymphomas are essential for diagnosis. In T-cell lymphomas, anaplastic large-cell lymphoma is defined by mutually exclusive rearrangements of ALK, DUSP22/IRF4, and TP63 Genetic alterations affecting TP53 and the mutational status of the immunoglobulin heavy-chain variable region are important in clinical management of chronic lymphocytic leukemia. Additionally, detection of BRAFV600E mutations is helpful in the diagnosis of classical hairy cell leukemia and a number of histiocytic neoplasms. Numerous additional examples provided here demonstrate how clinical evaluation of genomic alterations have refined classification of myeloid neoplasms and major forms of lymphomas arising from B, T, or natural killer cells.
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PMID:Diagnosis and classification of hematologic malignancies on the basis of genetics. 2860 Mar 36


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