Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA120473 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Molecular signatures to improve diagnosis in PTCL and prognostication in angioimmunoblastic T-cell lymphoma (AITL). Gene expression profiling of PTCL patient samples was performed to investigate whether molecular signatures can be used to identify distinct entities of PTCL. Gene expression profiling was performed on PTCL and natural-killer cell lymphoma (NKCL) to define molecular classifiers for the more common entities of PTCL, to identify unique entities within PTCL-U, to elucidate unique tumor and microenvironmental interactions and oncogenic pathways in AITL, and to construct a molecular prognosticator for AITL.
2010-02-27 | E-GEOD-19069 | biostudies-arrayexpress
Project description:NK-cell lymphoma shares strikingly similar molecular features with a distinct subset of gamma-delta T-cell lymphoma. Gene expression profiling of NK-cell lymphoma patient samples was performed to investigate whether molecular signatures can be used to identify entities of peripheral T-cell lymphoma (PTCL) with NK-cell-like features.
2010-03-18 | GSE19067 | GEO
Project description:Peripheral T-cell lymphoma (PTCL) encompasses a heterogeneous group of neoplasms with generally poor clinical outcome. Currently 50% of PTCL cases are not classifiable: PTCL-not otherwise specified (NOS). Gene-expression profiles on 372 PTCL cases were analyzed and robust molecular classifiers and oncogenic pathways that reflect the pathobiology of tumor cells and their microenvironment were identified for major PTCL-entities, including 114 angioimmunoblastic T-cell lymphoma (AITL), 31 anaplastic lymphoma kinase (ALK)-positive and 48 ALK-negative anaplastic large cell lymphoma, 14 adult T-cell leukemia/lymphoma and 44 extranodal NK/T-cell lymphoma that were further separated into NK-cell and gdT-cell lymphomas. Thirty-seven percent of morphologically diagnosed PTCL-NOS cases were reclassified into other specific subtypes by molecular signatures. Reexamination, immunohistochemistry, and IDH2 mutation analysis in reclassified cases supported the validity of the reclassification. Two major molecular subgroups can be identified in the remaining PTCL-NOS cases characterized by high expression of either GATA3 (33%; 40/121) or TBX21 (49%; 59/121). The GATA3 subgroup was significantly associated with poor overall survival (P=.01). High expression of cytotoxic genesignaturewithin the TBX21 subgroup also showed poor clinical outcome (P=.05). InAITL, high expression of several signatures associated with the tumor microenvironment was significantly associated with outcome. A combined prognostic score was predictive of survival in an independent cohort (P=.004).
2015-06-01 | GSE58445 | GEO
Project description:Molecular signatures to improve diagnosis in PTCL and prognostication in angioimmunoblastic T-cell lymphoma (AITL). Gene expression profiling of PTCL patient samples was performed to investigate whether molecular signatures can be used to identify distinct entities of PTCL.
2010-02-08 | GSE19069 | GEO
Project description:NK-cell lymphoma shares strikingly similar molecular features with a distinct subset of gamma-delta T-cell lymphoma. Gene expression profiling of NK-cell lymphoma patient samples was performed to investigate whether molecular signatures can be used to identify entities of peripheral T-cell lymphoma (PTCL) with NK-cell-like features. Gene expression profiling was performed on NK-cell maligancies to examine extranodal NK/T-cell lymphoma (ENKTL) and aggressive NK-cell leukemia (ANKL) and well-characterized cell lines of NK- and T-cell lineages to define molecular classifiers that can distinguish ENKTL from other lymphomas.
2010-03-18 | E-GEOD-19067 | biostudies-arrayexpress
Project description:The molecular biology of the primary nodal EBV-positive variant of PTCL (PTCL-EBV) and its relationship with extranodal NK/T-cell lymphoma (ENKTL) and peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) remains poorly understood. In this study, we assessed the relationship between the three diseases using gene and EBV miRNA expression profiling, and copy number aberration (CNA) analyses and attempted to characterize the degree of genomic instability (GI). This series is the oncoscan CNA data of 77 NKTL samples.
2021-11-27 | GSE160118 | GEO
Project description:Peripheral T cell lymphoma (PTCL) is a very aggressive disease which currently lacks efficient targeted therapy. New therapeutic strategies are needed to improve the very poor outcome of these patients. However, little is known about the molecular pathogenesis of this disease. In this study, we performed a miRNAs expression profiling analysis of a series of 26 PTCL cases in order to find deregulated pathways or genes that could become therapeutic agents for PTCL patients.
2018-01-01 | GSE89671 | GEO
Project description:Peripheral T-cell lymphoma (PTCL) includes heterogeneous clinicopathologic entities with numerous diagnostic and treatment challenges. We previously defined robust transcriptomic signatures that distinguish common PTCL entities and identified two novel biologic and prognostic PTCL-not otherwise specified subtypes (PTCL-TBX21 and PTCL-GATA3). We aimed to consolidate a gene expression–based subclassification using formalin-fixed, paraffin-embedded (FFPE) tissues to improve the accuracy and precision in PTCL diagnosis. We assembled a well-characterized PTCL training cohort (n = 105) with gene expression profiling data to derive a diagnostic signature using fresh-frozen tissue on the HG-U133plus2.0 platform (Affymetrix, Inc, Santa Clara, CA) subsequently validated using matched FFPE tissues in a digital gene expression profiling platform (nCounter, NanoString Technologies, Inc, Seattle, WA). Statistical filtering approaches were applied to refine the transcriptomic signatures and then validated in another PTCL cohort (n = 140) with rigorous pathology review and ancillary assays.
2023-02-23 | GSE225758 | GEO
Project description:Peripheral T-cell lymphoma (PTCL) includes heterogeneous clinicopathologic entities with numerous diagnostic and treatment challenges. We previously defined robust transcriptomic signatures that distinguish common PTCL entities and identified two novel biologic and prognostic PTCL-not otherwise specified subtypes (PTCL-TBX21 and PTCL-GATA3). We aimed to consolidate a gene expression–based subclassification using formalin-fixed, paraffin-embedded (FFPE) tissues to improve the accuracy and precision in PTCL diagnosis. We assembled a well-characterized PTCL training cohort (n = 105) with gene expression profiling data to derive a diagnostic signature using fresh-frozen tissue on the HG-U133plus2.0 platform (Affymetrix, Inc, Santa Clara, CA) subsequently validated using matched FFPE tissues in a digital gene expression profiling platform (nCounter, NanoString Technologies, Inc, Seattle, WA). Statistical filtering approaches were applied to refine the transcriptomic signatures and then validated in another PTCL cohort (n = 140) with rigorous pathology review and ancillary assays.
2023-02-23 | GSE225757 | GEO
Project description:The molecular biology of the primary nodal EBV-positive variant of PTCL (PTCL-EBV) and its relationship with extranodal NK/T-cell lymphoma (ENKTL) and peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) remains poorly understood. In this study, we assessed the relationship between the three diseases using gene and EBV miRNA expression profiling, and copy number aberration (CNA) analyses and attempted to characterize the degree of genomic instability (GI). This series is the GEP data of 84 cases of FFPE NKTL samples and 4 cases of Lymph node controls.
2021-11-27 | GSE160119 | GEO