Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA210969 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To measure global gene expression in primary advanced colorectal cancer patients who have undergone fluorouracil, leucovorin and oxaliplatin (FOLFOX4) chemotherapy and screen valuable biomarkers to predict the effects of chemotherapy Samples from primary advanced colorectal cancer patients were collected. The effects of chemotherapy were evaluated, and patients were divided into an experimental group and a control group.
2015-12-31 | GSE69657 | GEO
Project description:To measure global gene expression in primary advanced colorectal cancer patients who have undergone fluorouracil, leucovorin and oxaliplatin (FOLFOX4) chemotherapy and screen valuable biomarkers to predict the effects of chemotherapy Samples from primary advanced colorectal cancer patients were collected. The effects of chemotherapy were evaluated, and patients were divided into an experimental group and a control group. All patients underwent standard FOLFOX4 regimen chemotherapy in four cycles after signing the chemotherapy agreement; subsequently, they were evaluated in accordance with the Response Evaluation Criteria In Solid Tumors (RECIST).Each samplewas collected immediately following resection. Each sample was divided in half: one half was fixed in formalin and embedded in paraffin; the other half floated in ice-cold phosphate-buffered saline and was stored in liquid nitrogen until total RNA extraction. CEL files available for only 16/30 samples. Remaining CEL files have been lost.
2015-12-31 | E-GEOD-69657 | biostudies-arrayexpress
Project description:MicroRNAs are biomarkers of prognosis and survival for many types of cancer. We evaluated whether microRNAs can predict the survival and efficacy of concurrent chemotherapy in nasopharyngeal carcinoma (NPC) patients. We retrospectively analyzed microRNA expression in 312 paraffin-embedded NPC specimens and 18 normal nasopharyngeal tissues using microarray. We found Forty-one microRNAs are differentially expressed between NPC and normal tissues, and a five-microRNA signature can predict survival independent of stage. NPC patients with the low-risk microRNA signature have a favorable response to concurrent chemotherapy. microRNA profiling of nasopharyngeal carcinoma tissues vs. normal nasopharyngeal tissues 312 paraffin-embedded nasopharyngeal carcinoma tissues and 18 paraffin-embedded normal nasopharyngeal tissues
2012-06-30 | E-GEOD-32960 | biostudies-arrayexpress
Project description:MicroRNAs are biomarkers of prognosis and survival for many types of cancer. We evaluated whether microRNAs can predict the survival and efficacy of concurrent chemotherapy in nasopharyngeal carcinoma (NPC) patients. We retrospectively analyzed microRNA expression in 312 paraffin-embedded NPC specimens and 18 normal nasopharyngeal tissues using microarray. We found Forty-one microRNAs are differentially expressed between NPC and normal tissues, and a five-microRNA signature can predict survival independent of stage. NPC patients with the low-risk microRNA signature have a favorable response to concurrent chemotherapy.
2012-07-01 | GSE32960 | GEO
Project description:MicroRNA signature to predict the response of adjuvant chemotherapy in patients with stage II & III colorectal cancer
| PRJNA901503 | ENA
Project description:In patients with advanced colorectal cancer, leucovorin, fluorouracil, and irinotecan (FOLFIRI) is considered as one of the reference first-line treatments. However, only about half of treated patients respond to this regimen, and there is no clinically useful marker that predicts response. A major clinical challenge is to identify the subset of patients who could benefit from this chemotherapy. We aimed to identify a gene expression profile in primary colon cancer tissue that could predict chemotherapy response. Patients and Methods:- Tumor colon samples from 21 patients with advanced colorectal cancer were analyzed for gene expression profiling using Human Genome GeneChip arrays U133. At the end of the first-line treatment, the best observed response, according to WHO criteria, was used to define the responders and nonresponders. Discriminatory genes were first selected by the significance analysis of microarrays algorithm and the area under the receiver operating characteristic curve. A predictor classifier was then constructed using support vector machines. Finally, leave-one-out cross validation was used to estimate the performance and the accuracy of the output class prediction rule. Results:- We determined a set of 14 predictor genes of response to FOLFIRI. Nine of nine responders (100% specificity) and 11 of 12 nonresponders (92% sensitivity) were classified correctly, for an overall accuracy of 95%. Conclusion:- After validation in an independent cohort of patients, our gene signature could be used as a decision tool to assist oncologists in selecting colorectal cancer patients who could benefit from FOLFIRI chemotherapy, both in the adjuvant and the first-line metastatic setting.
2014-10-06 | GSE62080 | GEO
Project description:In patients with advanced colorectal cancer, leucovorin, fluorouracil, and irinotecan (FOLFIRI) is considered as one of the reference first-line treatments. However, only about half of treated patients respond to this regimen, and there is no clinically useful marker that predicts response. A major clinical challenge is to identify the subset of patients who could benefit from this chemotherapy. We aimed to identify a gene expression profile in primary colon cancer tissue that could predict chemotherapy response. Patients and Methods:- Tumor colon samples from 21 patients with advanced colorectal cancer were analyzed for gene expression profiling using Human Genome GeneChip arrays U133. At the end of the first-line treatment, the best observed response, according to WHO criteria, was used to define the responders and nonresponders. Discriminatory genes were first selected by the significance analysis of microarrays algorithm and the area under the receiver operating characteristic curve. A predictor classifier was then constructed using support vector machines. Finally, leave-one-out cross validation was used to estimate the performance and the accuracy of the output class prediction rule. Results:- We determined a set of 14 predictor genes of response to FOLFIRI. Nine of nine responders (100% specificity) and 11 of 12 nonresponders (92% sensitivity) were classified correctly, for an overall accuracy of 95%. Conclusion:- After validation in an independent cohort of patients, our gene signature could be used as a decision tool to assist oncologists in selecting colorectal cancer patients who could benefit from FOLFIRI chemotherapy, both in the adjuvant and the first-line metastatic setting. All tissue samples were maintained at −180°C (liquid nitrogen) until RNA extraction and were weighed before homogenization. Tissue samples were then disrupted directly into a lysis buffer using Mixer Mill MM 300 (Qiagen, Valencia, CA). Total RNA was isolated from tissue lysates using the RNeasy Mini Kit (Qiagen), and additional DNAse digestion was performed on all samples during the extraction process (RNase-Free DNase Set Protocol for DNase treatment on RNeasy Mini Spin Columns; Qiagen). After each extraction, a small fraction of the total RNA preparation was taken to determine the quality of the sample and the yield of total RNA. Controls analyses were performed by UV spectroscopy and analysis of total RNA profile using the Agilent RNA 6000 Nano LabChip Kit with the Agilent 2100 Bioanalyser (Agilent Technologies, Palo Alto, CA) to determine RNA purity, quantity, and integrity.
2014-10-06 | E-GEOD-62080 | biostudies-arrayexpress
Project description:MicroRNA microarray identifies a miRNA signature to predict chemotherapy response in breast cancers
| PRJNA297792 | ENA
Project description:Circulating microRNA of advanced colorectal cancer patients
| PRJNA449608 | ENA
Project description:To measure global gene expression in primary metastatic colorectal cancer patients who have undergone fluorouracil, leucovorin and oxaliplatin (FOLFOX) chemotherapy and screen valuable biomarkers to predict the effects of chemotherapy. Samples from primary metastatic colorectal cancer patients were collected. The effects of chemotherapy were evaluated.
2020-01-28 | GSE138912 | GEO