Project description:We performed scATAC-seq on primary glioblastoma tissue samples taken at time of initial resection to map the global chromatin profiles of glioblastoma cells and associated non-neoplastic cells
Project description:MicroRNA has a great potential in predicting survival of cancer patient. We used a genome-wide microRNA expression profiling to identify a miRNA signature for the prediction of clinical outcome of primary GBM patients. Total RNA obtained from 82 surgical specimens of primary glioblastoma multiform and 5 normal brain tissues from areas surrounding arteriovenous malformations (AVM) as control.
Project description:Whether DNA methylation in ductal carcinoma in situ (DCIS), measured in core biopsy and surgical specimens are similar, remains unclear. Here, we compared genome-scale DNA methylation measured in matched core biopsy and surgical specimens from DCIS, including specific DNA methylation biomarkers of subsequent invasive cancer. This study aims to compare genome-scale DNA methylation between core biopsies (in this GEO accession) and surgical specimens (previously published in GSE66313; see Overall Design below). Within-subject variability in DNA methylation was significantly lower than between-subject variability (all P < 2.20E-16). In 641 CpGs whose methylation was related with increased hazard of invasive breast cancer, lower within-subject than between-subject variability was observed in 92.3% of the study participants (P < 0.05). Between patient-matched core biopsy and surgical specimens, < 0.6% of CpGs measured had changes in median DNA methylation > 15%, and a pathway analysis of these CpGs indicated enrichment for genes related with wound healing. Our results indicate that DNA methylation measured in core biopsies are representative of the matched surgical specimens and suggest that DCIS biomarkers measured in core biopsies can inform clinical decision-making.
Project description:We used a genome-wide coding gene expression profiling to identify a gene signature for the molecular classification or prognostic prediction of primary GBMs. Total RNA obtained from 21 surgical specimens of primary glioblastoma multiform.
Project description:The behavior of breast cancers and their response to neoadjuvant systemic therapy depend on their phenotype which is to a large extent determined by gene expression programs within the cancer cell. The purpose of the analysis was to compare matched gene expression profiles of pretreatment cancer with post-neoadjuvant systemic therapy, residual cancer. Pre-treatment FNA from primary tumors or post-treatment surgical specimens were obtained and RNA extracted and hybridized to afymetrix microarrays according to manufacturer protocol.
Project description:We aimed to assess differences in miRNA expression profiles in transcriptomic molecular subtypes of ccRCC (Beuselinck et al, Clinical Cancer Research 2015) and to correlate miRNAs with overal survival since diagnosis of ccRCC. Sequencing was done for 129 primary ccRCC (formalin-fixed paraffin-embedded surgical resection specimens, previously untreated) and 16 normal kidney specimens. Normal kidney was obtained from the nephrectomy specimens at time of ccRCC removal, in tissue blocks containing only normal kidney (so nót the normal kidney immediately adjacent to ccRCC). The samples were sequenced in 2 major batches (2014 and 2017).
Project description:Surgical resection is the first choice of the standardized treatment scheme for glioblastoma and is performed under general anesthesia. Previous researches have shown that propofol and sevoflurane have different effects on the biological process of glioma cells from the molecular level. Some of them, for instance, control the glioma cell proliferation, invasion and migration In vitro or In vivo. We used mRNA microarray to discuss the effects of propofol and sevoflurane on gene expression in patients with glioblastoma. The correlation between DEGs and patients’ prognosis was further analyzed.
Project description:Set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample.