Potential signaling pathways and gene signatures associated with brain metastases in NSCLC patients
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE126548 | GEO | 2019/02/19
REPOSITORIES: GEO
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Project description:Brain metastasis (BM) can affect up to 25% of non-small cell lung cancer (NSCLC) patients during their lifetime. Efforts to characterize patients that will develop BM have been fairly disappointing. Small non-coding microRNAs (miRNAs) regulate the expression of target mRNAs by repressing their translation or regulating their sequence-specific degradation. miRNAs play a role in regulating a variety of targets and, consequently, multiple pathways, which makes them a powerful tool to be exploited for early detection of disease, risk assessment, and prognosis. In this study, we investigated miRNAs that may serve as biomarkers to differentiate between NSCLC patients with and without BM. miRNA microarray profiling was performed on samples from clinically matched NSCLC from patients with BM (BM+) and without BM (BM-). miR-328 and miR-330-3p were able to correctly classify BM+ vs. BM- patients. Gene expression analysis comparing NSCLC parental and stably transfected miR-328 cells identified several significantly differentially-expressed genes, whose expression may be directly or indirectly regulated by miR-328.
2011-02-16 | GSE23019 | GEO
Project description:Brain metastasis (BM) can affect up to 25% of non-small cell lung cancer (NSCLC) patients during their lifetime. Efforts to characterize patients that will develop BM have been fairly disappointing. Small non-coding microRNAs (miRNAs) regulate the expression of target mRNAs by repressing their translation or regulating their sequence-specific degradation. miRNAs play a role in regulating a variety of targets and, consequently, multiple pathways, which makes them a powerful tool to be exploited for early detection of disease, risk assessment, and prognosis. In this study, we investigated miRNAs that may serve as biomarkers to differentiate between NSCLC patients with and without BM. miRNA microarray profiling was performed on samples from clinically matched NSCLC from patients with BM (BM+) and without BM (BM-). miR-328 and miR-330-3p were able to correctly classify BM+ vs. BM- patients. Gene expression analysis comparing NSCLC parental and stably transfected miR-328 cells identified several significantly differentially-expressed genes, whose expression may be directly or indirectly regulated by miR-328. NSCLC Cell Line A549 analysis: Two-condition experiment, A549 GFP Control vs. A549 miR-328 cells. Biological replicates: 2 control replicates, 2 miR-328 replicates. miRNA microarray analysis was performed on RNA extracted from formalin-fixed paraffin-embedded (FFPE) NSCLC tumor specimens from 7 BM+ patients and 5 BM- patients.
2011-02-16 | E-GEOD-23019 | biostudies-arrayexpress
Project description:Background: There is a paucity of non-invasive markers for early detection of brain metastasis (BM) in patients with non-small cell lung cancer (NSCLC). Secretory proteomic approach based on quantitative tandem mass tag is believed to offer bright prospects for screening potential serum biomarkers for diseases. Methods: We used the secretory proteomics to identify up-regulated proteins in the highly brain metastatic cell line compared to the parental lung cancer cell line. Enzyme linked immunoassay and immunohistochemistry were performed on non-small cell lung cancer patients with brain metastasis and control samples from each cohort to verify the expression levels of candidate proteins. A logistic regression model was used to develop a biomarker panel composed of Cathepsin F (CTSF) and Fibulin-1 (FBLN1), and then an independent validation data set was used for verification. The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curve analysis. Changes in serum CTSF levels of patients were tracked to monitor the effect of treatment, and progression-free survival (PFS) and overall survival (OS) were analyzed to assess their prognostic relevance. Results: CTSF and FBLN1 levels were specifically upregulated in sera and tissues of patients with NSCLC BM. Importantly, the combined diagnostic performance of CTSF and FBLN1 was superior to their individual diagnostic performance (sensitivity and specificity). CTSF serum changes were found to reflect the therapeutic response of patients with NSCLC BM and the trends of resistance and progression were detected earlier than the MRI changes. Elevated expression of CTSF in NSCLC BM tissues was associated with poor PFS. Moreover, CTSF tissue expression was found to be an independent prognostic factor. Conclusions: CTSF and FBLN1 are potential novel and specific serum markers for early diagnosis of BM in patients with NSCLC. CTSF can also be used as a biomarker for monitoring therapeutic efficacy and prognostic assessment.
2022-08-12 | PXD023721 | Pride
Project description:The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays, were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 american metastatic patients. In situ hybridization was performed on the 16 american patients as well as on three distinct commercial tissues microarray (TMA), containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-microRNA-31,-21,-93, and-103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile.
2014-04-01 | GSE56350 | GEO
Project description:Epigenetic changes largely contribute to the regulation of gene expression in cancer cells. DNA methylation is part of the epigenetic gene regulation complex which is relevant for the pathogenesis of cancer. We performed a genome-wide search for methylated CpG islands in tumors and corresponding non-malignant lung tissue samples of 101 stage I-III non-small cell lung cancer (NSCLC) patients by combining methylated DNA immunoprecipitation and microarray analysis using NimbleGenM-BM-4s 385K Human CpG Island plus Promoter arrays. By testing for differences in methylation between tumors and corresponding non-malignant lung tissues, we identified 298 tumor-specifically methylated genes. From many of these genes epigenetic regulation was unknown so far. Gene Ontology analysis revealed an over-representation of genes involved in regulation of gene expression and cell adhesion. Expression of 182 of 298 genes was found to be upregulated after 5-aza-2M-BM-4-deoxycytidine (Aza-dC) and/or trichostatin A (TSA) treatment of 3 NSCLC cell lines by Affymetrix microarray analysis. In addition, methylation of selected genes in primary NSCLCs and corresponding non-malignant lung tissue samples were analyzed by methylation-sensitive high resolution melting analysis (MS-HRM). Our results obtained by MS-HRM analysis confirmed our data obtained by MeDIP-chip analysis. Moreover, by comparing methylation results from MeDIP-chip analysis with clinico-pathological parameters of the patients we observed methylation of HOXA2 as potential parameter for shorter disease-free survival of NSCLC patients. In conclusion, using a genome-wide approach we identified a large number of tumor-specifically methylated genes in NSCLC patients. Our results stress the importance of DNA methylation for the pathogenesis of NSCLCs. Overall, samples of 3 untreated, with Aza-dC treated and with Aza-dC/TSA treated NSCLC cell lines were hybridized to Affymetrix HG-U133_plus_2.0 microarrays (18 in total).
2012-11-26 | E-GEOD-32496 | biostudies-arrayexpress
Project description:The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays, were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 american metastatic patients. In situ hybridization was performed on the 16 american patients as well as on three distinct commercial tissues microarray (TMA), containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-microRNA-31,-21,-93, and-103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile. 33 patients had colon cancer with lymph nodes metastasis only (Any T, Any N, M0) and 15 were diagnosed with colon cancer, lymph nodes and liver metastases (Any T, Any N, M1). Separate tumor samples from the primary tumor, the metastatic lymph nodes and the liver metastasis were collected.
2014-04-01 | E-GEOD-56350 | biostudies-arrayexpress
Project description:Profiling project of CRC patient material collected in the Academic Medical Center (AMC) in Amsterdam, The Netherlands. We focused on a set of 90 AJCC stage II patients that underwent intentionally curative surgery in the years 1997-2006 (AMC-AJCCII-90). Extensive medical records are kept from these patients and long-term clinical follow-up is available for the large majority. Both paraffin-embedded as well as fresh frozen tissue is available from all these patients for analysis. 90 AJCC stage II CRC patients were included in the story
2011-11-05 | E-GEOD-33113 | biostudies-arrayexpress
Project description:Background: Non-small cell lung cancer (NSCLC) accounts for 81% of all cases of lung cancer and they are often fatal because 60% of the patients are diagnosed at an advanced stage. Besides the need for earlier diagnosis, there is a great need for additional effective therapies. In this work we investigated the feasibility of a lung cancer progression mouse model, mimicking features of human aggressive NSCLC cancer, as biological reservoir for potential therapeutic targets and biomarkers. Results:RNA-seq profiling was performed on total RNA extracted from lungs of 30 week-old p53R172HM-bM-^HM-^Fg/KrasG12D and wild type mice to detect fusion genes and gene/exon-level differential expression associated to the increase of tumor mass. Fusion events were not detected in p53R172HM-bM-^HM-^Fg/KrasG12D tumors. Differential expression at exon-level detected 33 genes with differential exon usage. The study provides a complete transcription overview of the p53R172HM-bM-^HM-^Fg/KrasG12D mouse NSCLC model Lung mRNA profiles of 30-week old wild type (WT) and p53R172HM-bM-^HM-^Fg/KrasG12D mice were generated by deep sequencing, in duplicate using Illumina HiSeq2000.
2013-09-25 | E-GEOD-51144 | biostudies-arrayexpress
Project description:RNA was extracted from 48 pairs of intratumoral and peritumoral formalin-fixed, paraffin-embedded (FFPE) tissue from hepatocellular carcinoma (HCC) patients with and without bone metastases (BM). The Human Cancer Panel DASL Assay containing 502 cancer-related genes was used to identify novel BM-associated genes. A cDNA-mediated annealing, selection, extension, and ligation assay was performed with an array of 502 known cancer-related genes to identify differentially expressed genes in 96 RNA samples.
2011-10-28 | GSE27635 | GEO
Project description:Lung cancer is the leading cause of cancer related mortality worldwide, with non-small cell lung cancer (NSCLC) as the most prevalent form. Despite advances in treatment options including minimally invasive surgery, CT-guided radiation, novel chemotherapeutic regimens, and targeted therapeutics, prognosis remains dismal. Therefore, further molecular analysis of NSCLC is necessary to identify novel molecular targets that impact prognosis and the design of new-targeted therapies. In recent years, tumor “activated/reprogrammed” stromal cells that promote carcinogenesis have emerged as potential therapeutic targets. However, the contribution of stromal cells to NSCLC is poorly understood. Here, we show increased numbers of bone marrow (BM)-derived hematopoietic cells in the tumor parenchyma of NSCLC patients compared with matched adjacent non-neoplastic lung tissue. By sorting specific cellular fractions from lung cancer patients, we compared the transcriptomes of intratumoral myeloid compartments within the tumor bed with their counterparts within adjacent non-neoplastic tissue from NSCLC patients. The RNA sequencing of specific myeloid compartments (immature monocytic myeloid cells and polymorphonuclear neutrophils) identified differentially regulated genes and mRNA isoforms, which were inconspicuous in whole tumor analysis. Genes encoding secreted factors, including osteopontin (OPN), chemokine (C-C motif) ligand 7 (CCL7) and thrombospondin 1 (TSP1) were identified, which enhanced tumorigenic properties of lung cancer cells indicative of their potential as targets for therapy. This study demonstrates that analysis of homogeneous stromal populations isolated directly from fresh clinical specimens can detect important stromal genes of therapeutic value.
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