The clonal CD3- CD4+ Th2 cell population characterizing some hypereosinophilic syndrome patients stably endures for years provoking a chronic inflammatory skin disease, with a subgroup of patients ultimately progressing to T-cell lymphoma. The aim of this study is the identification of the molecular changes (1) associated with the persistence of the pre-malignant clone (2) associated with the activation of co-stimulatory receptors and (3) associated with the emergence of malignant T-cell subclones.
Molecular profiling of CD3-CD4+ T cells from patients with the lymphocytic variant of hypereosinophilic syndrome reveals targeting of growth control pathways.
Specimen part, Disease, Disease stage, Time
View SamplesWhile VEGF-targeted therapies are showing promise in clinical studies, new angiogenesis targets are needed to make additional gains. Here, we show that increased Zeste homologue 2 (EZH2) expression in either tumor cells or in tumor vasculature is predictive of poor clinical outcome. The increase in endothelial EZH2 is a direct result of VEGF stimulation and indicates the presence of a paracrine circuit that promotes angiogenesis by methylating and silencing vasohibin 1 (VASH1). EZH2 silencing in the tumor-associated endothelial cells resulted in inhibition of angiogenesis mediated by reactivation of VASH1, and reduced ovarian cancer growth. Combined, these data provide a new understanding of the regulation of tumor angiogenesis and support the potential for targeting EZH2 as a novel therapeutic approach.
Regulation of tumor angiogenesis by EZH2.
No sample metadata fields
View SamplesWe report a novel modular pipeline (iMir) for comprehensive analysis of miRNA-Seq data, from linker removal and sequence quality check to differential expression and biological target prediction, integrating multiple open source modules and resources linker together in an automated flow. Overall design: Development of an integrated pipeline (iMir) for comprehensive analysis of miRNA-Seq experiment.
iMir: an integrated pipeline for high-throughput analysis of small non-coding RNA data obtained by smallRNA-Seq.
Specimen part, Cell line, Subject
View SamplesEstrogens play an important role in breast cancer (BC) development and progression, where the two isoforms of the estrogen receptor (ERa and ERß) are generally co-expressed and mediate the effects of these hormones in cancer cells. ERß has been suggested to exert an antagonist role toward the oncogenic activities of ERa, and for this reason it is considered an oncosuppressor. As clinical evidence regarding a prognostic role for this receptor subtype in hormone-responsive BC is still limited and conflicting, more knowledge is required on the biological functions of ERß in cancer cells. We described previously the ERß and ERa interactomes of BC cells, identifying specific and distinct patterns of protein interactions for the two receptors. In particular, we identified factors involved in mRNA splicing and maturation as important components of both ERa and ERß pathways. Guided by these findings, we investigated here in depth the differences in the early transcriptional events and RNA splicing patterns induced in ERa vs ERa+ERß cells, by expressing ERß in ERa+ human BC MCF-7 cells. High-throughput mRNA sequencing was then performed in both cell lines after stimulation with 17b-estradiol, and the results obtained were compared. Overall design: We investigated here in depth the differences in the early transcriptional events and RNA splicing patterns induced in ERa vs ERa+ERß cells, by expressing ERß in ERa+ human BC MCF-7 cells. High-throughput mRNA sequencing was then performed in both cell lines after stimulation with 17b-estradiol, and the results obtained were compared.
Estrogen receptor beta impacts hormone-induced alternative mRNA splicing in breast cancer cells.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.
Specimen part, Disease, Disease stage, Treatment
View SamplesCD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).
CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.
Specimen part, Disease, Disease stage
View SamplesCD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).
CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.
Specimen part, Disease, Disease stage, Treatment
View SamplesCD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).
CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.
Specimen part, Disease, Disease stage, Treatment
View SamplesCD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).
CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.
Specimen part, Disease, Disease stage, Treatment
View SamplesPIWI-interacting RNAs (piRNAs) are a novel class of small ncRNAs initially isolated from germ line cells; although recent studies report that they are expressed also in somatic cells. To elucidate the role of piRNAs in somatic cells, in particular from breast cancer, we performed the first extensive next generation sequencing expression analysis of small RNA transcriptomes of hormone responsive breast cancer cell lines in different culture conditions. In addition, to understand the behavior of piRNAs with respect to miRNAs in breast tumor tissues, small RNA sequence data set available in Gene Expression Omnibus (GSE39162) database was used. Results led to the identification of ~100 and ~150 human piRNAs in the breast cancerous cell lines and tumors respectively, several of which differentially expressed in cell lines under different experimental conditions tested or in response to ERß and in tumor tissues. Western blotting and Q-PCR analysis also revealed the presence in breast cell lines of PIWIL (PIWI Like) subfamily members proteins encoded in the human genome (PIWIL2/HILI and PIWIL4/HIWI2) and of other components of the piRNA biogenesis pathways, suggesting that this might indeed be functional in somatic cells. These results show that piRNAs are expressed in human somatic cells, in particular in cancer, where their expression is influenced by neoplastic transformation, growth conditions and estrogen receptor beta. More important, we demonstrate for the first time a distinct pattern of piRNAs expression in cancerous vs normal breast tissues, which suggests a potential role of these epigenetic modulators in mammary carcinogenesis and maintenance of the cancer cell phenotype. Overall design: In addition, to understand the behavior of piRNAs with respect to miRNAs in breast tumor tissues, small RNA sequence data set available in Gene Expression Omnibus (GEO; GSM957192 TAX577740T ,GSM957194 TAX577740N, GSM957195 TAX577453T, GSM957197 TAX577453N, GSM957198 TAX577745T, GSM957200 TAX577745N, GSM957201 TAX577579T, GSM957203 TAX577579N) was used.
RNA sequencing identifies specific PIWI-interacting small non-coding RNA expression patterns in breast cancer.
No sample metadata fields
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