Ontology highlight
ABSTRACT:
PROVIDER: PRJEB46665 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR6617400_1.fastq.gz | Fastqsanger.gz | |||
| ERR6617400_2.fastq.gz | Fastqsanger.gz | |||
| ERR6617410_1.fastq.gz | Fastqsanger.gz | |||
| ERR6617410_2.fastq.gz | Fastqsanger.gz | |||
| ERR6617420_1.fastq.gz | Fastqsanger.gz |
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2021-12-12 | GSE186880 | GEO
Project description:Integrative multi-omic approaches have been increasingly applied to discovery and functional studies of complex human diseases. Short-term preoperative antibiotics have been adopted to reduce site infections in colorectal cancer (CRC) resections. We hypothesize that the antibiotics will impact analysis of multi-omic datasets generated from resection samples to investigate biological CRC risk factors. To assess the impact of preoperative antibiotics on integrated microbiome and human transcriptomic data generated from archived frozen CRC resection samples. Genomic DNA (gDNA) and RNA were extracted from 51 pairs of frozen sporadic CRC tumor and adjacent non-tumor mucosal samples from 50 CRC patients archived at a single medical center. 16S rRNA gene sequencing (V3V4 region, paired end (PE), 300 bp) and confirmatory quantitative polymerase chain reaction (qPCR) assays were conducted on gDNA. RNA sequencing IPE, 125bp) was performed on parallel tumor and non-tumor RNA samples with RNA Integrity Numbers (RIN) scores ≥ 6.
2021-04-21 | GSE165255 | GEO
Project description:Alterations in glycosylation are seen in many types of cancer, including colorectal cancer (CRC). CRC is known to display glycosylation alterations. Glycans, the sugar moieties of glycoconjugates, are involved in many important functions relevant to cancer, such as cell signaling and adhesion, and may can be of value as biomarkers. In this study, we have used mass spectrometry to analyze the N-glycan profiles of 35 CRC tissue samples from patients with tumors in the right or left colon and 10 healthy tissue samples from non-CRC patients who underwent operations for other reasons. The tumor samples were divided into groups depending on tumor location (right or left colon) and stage (II or III), while the healthy samples were divided into right or left side of the colon. The levels of neutral and acidic N-glycan compositions and glycan classes were analyzed in a total of ten different groups. Surprisingly, there were no significant differences in glycan levels when all right- and left-sided CRC samples were compared, and few differences (such as in the abundance of the neutral N-glycan H3N5) were seen when the samples were divided according to both location and stage. Multiple significant differences were found in the levels of glycans and glycan classes when stage II and III samples were compared, and these glycans could be of value as candidates for new markers of cancer progression. In order to validate our findings, we analyzed healthy tissue samples from the right and left colon and found no significant differences in the levels of any of the glycans analyzed, confirming that our findings when comparing CRC samples from the right and left colon are not due to normal variations in the levels of glycans between the healthy right and left colon. Additionally, the levels of the acidic glycans H4N3F1P1, H5N4F1P1, and S1H5N4F1 were found to change in a cancer-specific but colon location-nonspecific manner, indicating that CRC affects glycan levels in similar ways, regardless of tumor location.
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Project description:The challenge of preventing colorectal cancer (CRC) is the early identification of individuals whose apparently normal colorectal mucosa will develop cancer, because of inherited trait or environmental exposure. We sought to use genome-wide expression profiling of endoscopic biopsies to detect a signature of propensity for cancer. We performed oligonucleotide microarray analysis of normal appearing mucosa of the following cases: healthy individuals (NOR), disease-free carriers predisposed to HNPCC (hereditary non-polyposis CRC), disease-free patients who underwent curative large bowel resection for CRC 1 to 15 years earlier and patients with CRC (MCRC) (GSE23011). As test set we run on affymetrix arrays an independent set of mucosal biopsies of MCRC and NOR samples. This profiling is based on the analysis of 5 patients who underwent curative large bowel resection for CRC from 1 to 15 years before (MCRC samples), and 12 endoscopy-negative, asymptomatic individuals (NOR samples)
2013-11-30 | E-GEOD-23194 | biostudies-arrayexpress
Project description:Background: Colorectal cancer (CRC) is one of the major causes of cancer-related death worldwide. Although commercial biomarkers of CRC are currently available, they are still lacking in terms of sensitivity and specificity; thus, searching for reliable blood-based biomarkers are important for the primary screening of CRC. Methods: Plasma samples of patients with non-metastatic (NM) and metastatic (M) CRC and healthy controls were fractionated using MARS-14 immunoaffinity chromatography. The flow-through and elute fractions representing low- and high-abundant proteins, respectively, were analyzed by label-free quantitative proteomics mass spectrometry. The functional analysis of the proteins with greater than 1.5-fold differential expression level between the CRC and the healthy control groups were analyzed for their biological processes and molecular functions. In addition, the levels of plasma proteins showing large alterations in CRC patients were confirmed by immunoblotting using two independent cohorts. Moreover, receiver operating characteristic (ROC) curve analysis was performed for individual and combinations of biomarker candidates so as to evaluate the diagnostic performance of biomarker candidates. Results: From 163 refined identifications, five proteins were up-regulated and two proteins were down-regulated in NM-CRC while eight proteins were up-regulated and three proteins were down-regulated in M-CRC, respectively. Altered plasma proteins in NM-CRC were mainly involved in complement activation, while those in M-CRC were clustered in acute-phase response, complement activation, and inflammatory response. Results from the study- and validation-cohorts indicate that the levels of LRG, C9, AGP1, and A1AT were statistically increased, while FN level was statistically decreased in CRC patients compared to healthy controls, with most alterations found in a metastatic stage-dependent manner. ROC analysis revealed that FN exhibited the best diagnostic performance to discriminate CRC patients and healthy controls while AGP1 showed the best discrimination between the disease stages in both cohorts. The combined biomarker candidates, FN+A1AT+AGP1, exhibited perfect discriminatory power to discriminate between the CRC population and healthy controls whereas LRG+A1AT+AGP1 was likely to be the best panel to discriminate the metastatic stages in both cohorts. Conclusions: This study identified and quantified distinct plasma proteome profiles of CRC patients. Selected CRC biomarker candidates including FN, LRG, C9, A1AT, and AGP1 may be further applied for screening larger cohorts.
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Project description:The challenge of preventing colorectal cancer (CRC) is the early identification of individuals whose apparently normal colorectal mucosa will develop cancer, because of inherited trait or environmental exposure. We sought to use genome-wide expression profiling of endoscopic biopsies to detect a signature of propensity for cancer. We performed oligonucleotide microarray analysis of normal appearing mucosa of the following cases: healthy individuals, disease-free carriers predisposed to HNPCC (hereditary non-polyposis CRC), disease-free patients who underwent curative large bowel resection for CRC 1 to 15 years earlier and patients with CRC. This profiling is based on the analysis of 4 donors who underwent curative large bowel resection for CRC from 1 to 19 years before (M-CRC samples), 4 disease-free carriers of mutations in the mismatch repair system genes, who are predisposed to develop HNPCC (HNPCC samples) and 4 endoscopy-negative, asymptomatic individuals (NOR samples)
2013-11-30 | E-GEOD-23011 | biostudies-arrayexpress