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accession-icon GSE102203
Expression data from EBV+ and EBV- plasmablastic lymphomas
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

We produced and analyzed the transcriptomic profiles of agressive plasmablastic lymphomas to describe their "immune escape" profile, depending on their viral status (HIV, EBV, ...). We used microarrays to compare the global gene expression profile between EBV+ and EBV- PL subtypes. This analysis unveiled the interest of treating EBV+ PL patients by immune checkpoint blockade strategies.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE84072
Expression data from CD8+TIM-3+ and CD8+TIM-3- T cells sorted from follicular lymphoma lymph nodes
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Exhaustion markers are expressed by T lymphocytes in Follicular Lymphoma (FL). Through these, TIM-3 has been recently identified as a poor pronostic factor when expressed by FL CD4+ T cells.

Publication Title

Impaired functional responses in follicular lymphoma CD8<sup>+</sup>TIM-3<sup>+</sup> T lymphocytes following TCR engagement.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE138236
Expression data in TDEC obtained from irradiated GBM stem cell
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Glioblastomas (GBM) are brain tumors which display a bad prognosis despite conventional treatment associating surgical resection and subsequent radio-chemotherapy. These tumors are defined by an abundant and abnormal vascularization as well as by an important cellular heterogeneity. GBM notably contain a subpopulation of GBM stem-like cells (GSC) which contribute to tumor aggressiveness, resistance, and recurrence. Moreover, GSC directly take part in the formation of new vessels via their transdifferentiation into tumor derived endothelial cells (TDEC). Considering the importance of the vascularization in the GBM, we postulate that radiation could enhance the transdifferentiation of GSC into TDEC. Here, we show that ionizing radiation potentiates endothelial features of TDEC obtained from 3 patient-derived primocultures of GSC. Indeed, TDEC obtained from irradiated GSC (TDEC IR+) migrate more towards VEGF, form more pseudotubes in Matrigel in vitro and develop more functional blood vessel in Matrigel plugs implanted in Nude mice than TDEC obtained from non-irradiated GSC. Transcriptomic analysis allows us to highlight an overexpression of Tie2 in TDEC IR+ which is associated with the activation of AKT signaling pathway. All radiation-induced effects on TDEC IR+ were abolished by using a Tie2 kinase inhibitor, confirming the role of Tie2 signaling pathway in this process. Finally, the number of Tie2+ vessels is increased in recurrent GBM compared with matched untreated tumors. In conclusion, we show that irradiation potentiates proangiogenic features of TDEC throught Tie2/AKT signaling pathway. New therapeutic stategies associating standard teatment and an inhibitor of Tie2 signaling pathway should be considered for forthcoming trials.

Publication Title

Ionizing radiation induces endothelial transdifferentiation of glioblastoma stem-like cells through the Tie2 signaling pathway.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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