Transcription profiling of human ependymoma tumors with known clinical outcomes
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ABSTRACT: Ependymoma, the 3rd most common brain tumor in children, recurs in approximately 50% of patients. There is currently no robust marker that predicts for recurrence, which is a significant clinical problem; We used global gene expression profiling of 19 patient surgical samples obtained at initial diagnosis and with known clinical outcomes to discover novel prognostic markers. Experiment Overall Design: Gene expression profiles were generated from surgical tumor samples using Affymetrix HG-U133plus2 chips. Profiles were divided into recurrent and non-recurrent groups in order to identify differentially expressed genes that were associated with risk of recurrence. In addition, time to progression was correlated with gene expression as a continuous variable in the recurrent group.
Project description:Survival in the majority of high grade astrocytoma (HGA) patients is very poor, with only a rare population of long-term survivors. A better understanding of the biological factors associated with long-term survival in HGA would aid development of more effective therapy and prognostication. We used microarray gene expression profiling of 26 patient surgical samples with known clinical outcomes to discover novel prognostic markers. Gene expression profiles were generated from surgical tumor samples using Affymetrix HG-U133plus2 chips. All genes were correlated with survival as a continuous variable in order to identify ontologys associated with risk of recurrence.
Project description:We compared molecular characteristics of primary and recurrent pediatric ependymoma to identify sub-group specific differences. Gene expression profiles were used to identify unique immunobiologic sub-types of posterior fossa pediatric ependymoma. Gene expression profiles were generated from surgical tumor (ependymoma) (n=65) using Affymetrix HG-U133plus2 chips (Platform GPL570). Normalization was performed on our entire cohort of ependymoma. Of the 65 samples, a sub-set of 58 were used in the corresponding manuscript. Excluded samples are noted. Gene expression profiles were filtered to obtain gene expression of key immune cell markers. Comparative analyses between tumor samples were used to identifiy unique immunobiology between posterior fossa sub-groups.
Project description:Inflammatory response has been identified as a molecular signature of high-risk Group A ependymoma (EPN). To better understand the biology of this phenotype and aid therapeutic development, transcriptomic data from Group A and B EPN patient tumor samples, and additional malignant and normal brain data, were analyzed to identify the mechanism underlying EPN group A inflammation. Gene expression profiles of Group A and B EPN were contrasted to identify inflammatory transcriptional profiles (GSEA analysis). Candidate inflammatory mechanism genes were examined across a broader cohort of pediatric and adult brain tumor types and normal brain. Gene expression profiles were generated from surgical tumor and normal brain samples (n=149) using Affymetrix HG-U133plus2 chips (Platform GPL570).
Project description:Introduction: Pediatric adamantinomatous craniopharyngioma (ACP) is a histologically benign but clinically aggressive brain tumor that arises from the sellar/suprasellar region. Despite a high survival rate with current surgical and radiation therapy (75-95% at 10 years), ACP is associated with debilitating visual, endocrine, neurocognitive and psychological morbidity, resulting in exceptionally poor quality of life for survivors. Identification of an effective pharmacological therapy would drastically decrease morbidity and improve long term outcomes for children with ACP. Results: Using microarray analysis of 15 ACP patient samples, we have found several pharmaceutical targets that are significantly and consistently overexpressed in our panel of ACP relative to other pediatric brain tumors, pituitary tumors, normal pituitary and normal brain tissue. Among the most highly expressed are several targets of the kinase inhibitor dasatinib -- LCK, EPHA2 and SRC; EGFR pathway targets -- AREG, EGFR and ERBB3; and other potentially actionable cancer targets -- SHH, MMP9 and MMP12. We confirm by Western blot that a subset of these targets is highly expressed in ACP primary tumor samples. Discussion: We report here the first microarray gene expression analysis for ACP and the identification of targets for rational therapy. Experimental drugs targeting each of these gene products are currently being tested clinically and pre-clinically for the treatment of other tumor types. This study provides a rationale for further pre-clinical and clinical studies of novel pharmacological treatments for ACP. Development of pre-clinical mouse and cell culture models for ACP will further enable the translation of these targets from the lab to the clinic. Gene expression profiles were generated from surgical tumor and normal brain samples (n=210) using Affymetrix HG-U133 Plus 2.0 chips. Gene expression profiles of adamantinomatous craniopharyngioma (ACP) were compared to a cohort of other tumor samples and normal brain tissues, and analyzed via gene set enrichment (GSEA analysis) and hierarchical clustering analysis to identify high expression of potential drug targets. The sample metadata and processed data for the complete dataset, which includes reanalysis of 23 Samples from GSE26966, 33 Samples from GSE35493, and 42 Samples from GSE50385, are linked below as supplementary files.
Project description:The characteristics of immune cells infiltrating pediatric brain tumors is largely unexplored. A better understanding of these characteristics will provide a foundation for development of immunotherapy for pediatric brain tumors. Gene expression profiles were used to identify immune marker gene that are differentially expressed between various brain tumor types. Gene expression profiles were generated from surgical tumor and normal brain samples (n=130) using Affymetrix HG-U133plus2 chips (Platform GPL570). Gene expression profiles of different types of brain tumors and normal brain were filtered to obtain gene expression of key immune cell markers. Comparative analyses between different brain tumors and normal brain was used to identifiy differential immune characteristics of these tumors.
Project description:Ependymoma, the 3rd most common brain tumor in children, recurs in approximately 50% of patients. There is currently no robust marker that predicts for recurrence, which is a significant clinical problem We used global gene expression profiling of 19 patient surgical samples obtained at initial diagnosis and with known clinical outcomes to discover novel prognostic markers.
Project description:Well-differentiated liposarcoma (WDLPS) recurs in approximately one-third of the patients. The molecular relationship between primary tumor and recurrent tumors is barely studied, but is important to reveal potential drivers of recurrence. Here we investigated the biology of recurrent WDLPS using 27 paired primary and recurrent WDLPS samples. MicroRNA expression profiles were determined using TaqMan® Low Density Array (TLDA)-cards. In the supervised clustering analyses, no clear clustering separating the primary from the recurrent tumors, based on differentially expressed microRNAs was observed. The clustering was also not based on tumor localization, time to recurrence, age or status of the resection margins. Subgroup analysis for tumors localized in the extremity or retroperitoneum also did not yield a clear distinction between primary and recurrent WDLPS. In conclusion, microRNA expression profiles do not distinguish between primary and recurrent WDLPS and no putative common drivers for recurrence could be identified.
Project description:Surgical resection is the preferred treatment for Hepatocellular carcinoma; however, it induces tumor recurrence. Our objective was to understand the molecular mechanisms linking liver regeneration under chronic-inflammation to tumorigenesis. Mdr2-knockout mice, a model of inflammation-associated cancer, underwent partial-hepatectomy which led to enhanced hepatocarcinogenesis. Yet, liver regeneration in these mice was severely attenuated. We demonstrate the activation of the DNA damage response machinery and altered genomic instability during early liver inflammatory stages resulting in hepatocyte apoptosis and cell-cycle arrest, and suggest their involvement in tumor recurrence subsequent to partial hepatectomy. We propose that under the regenerative proliferative stress induced by liver resection, the genomic unstable hepatocytes generated during chronic-inflammation, escape apoptosis and reenter the cell-cycle, triggering the enhanced tumorigenesis At present, there is a great organ shortage worldwide, thus the main treatment for Hepatocellular carcinoma (HCC) is liver resection. However, liver resection induces recurrence and mortality. In our study, we decipher, for the first time, the contribution of the DNA damage response in HCC development and recurrence, the immediate and long term effect. This is an important finding regarding the association between carcinogenesis and DNA damage response. Additionally, we demonstrate yet another link between inflammation, inducing DNA damage and genome instability, and carcinogenesis that has not been explored in the past. These results may assist in developing treatments that will reduce tumor recurrence and additionally, new prophylactic therapies during early inflammatory stages. Keywords: time course, regeneration RNA was isolated from liver samples of 9-month-old Mdr2-/- and control mice obtained on days 0 (the removed lobe), 2 and 6 following PHx. Samples of d0 were obtained from the same mice that were sacrificed on later days. As we were concerned by the variability in the KO group 6 samples were obtained for d0. All other time points and groups contained 3 samples each.
Project description:This SuperSeries is composed of the following subset Series: GSE18916: Expression data from 42 prostate cancer samples - 16 recurrent and 26 recurrence-free GSE18917: Expression data from 22 prostate cancer samples - 6 recurrent and 16 recurrence-free from the validation dataset Refer to individual Series
Project description:Venous thromboembolism (VTE) is a major cause of morbidity and mortality. Pulmonary embolism is a life threatening manifestation of VTE that occurs in at least half the patients on presentation. In addition, VTE recurs in up to 30% of patients after a standard course of anticoagulation, and there is not a reliable way of predicting recurrence. We investigated whether gene expression profiles of whole blood could distinguish patients with VTE from healthy controls, single VTE from those with recurrence, and DVT alone from those with PE. 70 adults with VTE on warfarin and 63 healthy controls were studied. Patients with antiphospholipid syndrome or cancer were excluded. Blood was collected in PAXgene tubes, RNA isolated, and gene expression profiles obtained using Affymetrix arrays. We developed a 50 gene model that distinguished healthy controls from subjects with VTE with excellent receiver operating characteristics (AUC 0.94; P < 0.0001). We also discovered a separate 50 gene model that distinguished subjects with a single VTE from those with recurrent VTE with good receiver operating characteristics (AUC 0.75; P=0.008). In contrast, we were unable to distinguish subjects with DVT from those with PE using gene expression profiles. Gene expression profiles of whole blood can distinguish subjects with VTE from healthy controls and subjects with a single VTE from those with recurrence. Additional studies should be performed to validate these results and develop diagnostic tests. Gene expression profiling is likely translatable to other thrombotic disorders(e.g., patients with cancer and VTE). 70 adults with one or more prior VTE on warfarin and 63 healthy controls were studied. Patients with antiphospholipid syndrome or cancer were excluded. Blood was collected in PAXgene tubes, RNA isolated, and gene expression profiles obtained using Affymetrix arrays.