Profiling circular RNA in esophageal squamous cell carcinoma (ESCC) with lymph node metastasis
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ABSTRACT:
PROVIDER: PRJNA632541 | ENA |
REPOSITORIES: ENA
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Project description:Circular RNAs (circRNAs) have been identified as a novel class of non-conding RNAs, which are stable and have covalently single-stranded loop configuration.With the improvement of RNA-sequencing and bioimofrmatics, numerous dysregulated expression of circRNAs has been identified in kinds of physiological and pathological processes, especially in tumorigenesis. To date, however, the discovery of cirtical circRNA abnormalities, as well as their functions and underlying mechanisms, in the progress of esophageal squamous cell carcinoma (ESCC), is still unknown.
2021-08-31 | GSE150476 | GEO
Project description:Preoperative prediction of lymph node (LN) metastasis is accepted as an important independent risk factor for treatment decision-making for esophageal squamous cell carcinoma (ESCC) patients. This study aimed to develop a non-invasive biomarker to identify LN metastasis preoperatively in ESCC patients with serum exosomal RNA-seq.
2020-07-30 | GSE155360 | GEO
Project description:To identify the lymph node (LN) metastasis-associated genes in primary ESCC tumors, gene expression profiling assay (GEP) was performed to identify the differences in gene expression profiles between primary ESCC tumors that were with LN metastases (N+) and those without LN metastases (N-).
2018-08-14 | GSE118493 | GEO
Project description:Lymph node metastases (LNM) and primary tumour samples were analysed using desorption electrospray ionisation mass spectrometry imaging (DESI MSI). Current assessment of LNM depends on subjective histopathological assessment, whereas analysis by DESI MSI permits an entirely objective assessment. The mass spectral data revealed specific lipidomic patterns across samples, which were shown to correspond to the immunohistochemical image. Statistical prediction of LNM samples was performed using the esophageal adenocarcinoma samples with sensitivity and specificity of 89.5% and 100%, respectively.
2017-01-10 | MTBLS385 | MetaboLights
Project description:We used microarrays to determine global gene expression in primary tumor tissues (ESCC) and matched normal tissues (adjacent normal esophageal mucosa) Paired primary ESCC tumor and normal tissues were compared (n=5).
2009-09-01 | E-GEOD-17351 | biostudies-arrayexpress
Project description:Differential expression of miRNAs in plasma exosomes between ESCC patients with lymph node metastasis(LNM+) and those without lymph node metastasis(LNM-)
| PRJNA884661 | ENA
Project description:Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients – even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis. First, samples were classified according to the principal status of the patients exhibiting (pN1 group) or non-exhibiting (pN0 group) metastasis in regional lymph nodes. The comparison of pN1 and pN0 patients should highlight the general differences in regulations that might lead to or prevent from metastasis. Second, two lymph node samples were collected from each patient, one node located close to the tumor (regional) and the second node distant to the tumor. While the distant nodes served as reference sample the regional nodes were investigated for transcriptional regulations. Key to the work presented here is that all nodes investigated were made sure to be still metastasis free, independent of the patients’ pN1/pN0 classification and of the location relative to the tumor. This should allow the identification of early changes occurring prior to metastasis homing.
2015-05-18 | E-GEOD-51021 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are an endogenous conserved class of non-coding 20–22 nt small RNAs that regulate gene expression at post-transcriptional level by mostly binding to 3′-UTR of target mRNAs, leading to mRNA degradation or translation inhibition. Recent reports demonstrate a role for miRNA expression in the disease progression and outcome. By now, many researcher focusing on miRNA expression profiles in Barrett's esophagus and esophageal adenocarcinoma have been reported. Nevertheless, there is still a little information available about specific miRNA expression pattern and their roles in ESCC. To develop novel diagnostic and therapeutic targets for esophageal squamous cancer, we first investigated the expression profile of miRNA in three pairs of ESCC clinical samples. Tissues of ESCC and the matched normal counterparts were obtained from surgical specimens immediately after resection from patients undergoing primary surgical treatment of esophageal carcinoma from the Department of Tumor Surgery of Shantou Central Hospital, China. RNA labeling and hybridization were completed by KangChen Bio-tech Inc. (Shanghai, China) according to the manufacturer's instructions. Briefly, total RNA from three pairs of esophageal carcinoma and matched normal tissues were isolated by Trizol (Invitrogen, USA) and purified by RNeasy mini kit (QIAGEN, German). The concentration and quality of total RNA were measured by NanoDrop ND-1000 at 260 and 280 nm (A260/280) and checked by gel electrophoresis. Each RNA sample from three pairs of ESCC was separately labeled either using the miRCURY Hy3/Hy5 labeling kit and hybridized on the six miRCURYTM locked nucleic acid (LNA) array version 11.0 (Exiqon, Denmark), which contains probes for 1700 mature miRNA. Scans were quantified by using GenePix software (Molecular Devices). The data were exported to Microsoft Excel worksheets, log2 transformed, normalized using global Lowess (Locally Weighted Scatter plot Smoothing) regression algorithm (MIDAS, TIGR Microarray Data Analysis System).
2010-08-12 | E-GEOD-23142 | biostudies-arrayexpress
Project description:To identify the mRNAs, long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) involved in the pathogenesis of breast cancer, we performed the whole transcriptome sequencing. The whole transcriptome sequencing was performed with three breast cancer tissues with or without lymph node metastasis in each group, respectively. The results showed that 728 mRNAs, 131 lncRNAs, and 144 circRNAs were differentially expressed in lymph node metastasis group and no lymph node metastasis group (fold change≥2, p<0.05). These data indicate that dysregulation of mRNAs, lncRNAs, and circRNAs may contribute to breast cancer progression.
2021-12-31 | GSE163346 | GEO