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SNP data from genomic DNA in patient with rectal cancer

ABSTRACT: The identification of surrogate single nucleotide polymorphism (SNP) markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used Affymetrix’s SNP Array 6.0 to detail genetic polymorphism of patient’s group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE35282 | GEO | 2012/12/31

SECONDARY ACCESSION(S): PRJNA151577

REPOSITORIES: GEO

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SNP data from genomic DNA in patient with rectal cancer

Project description:The identification of surrogate single nucleotide polymorphism (SNP) markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used Affymetrix’s SNP Array 6.0 to detail genetic polymorphism of patient’s group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers. The chemoradiosensitivity of tumor tissue from the initial cohort of 43 patients was assessed using clinical responses of tumor regression grade (TRG). TRG was clinically categorized as complete response (CR) as TRG 1, dominant response (ER or finally as DR) as TRG 1 and 2, and efficient response (RYN or finally as ER) as TRG 1, 2, and 3 (TRG grade from Mandard et al, 1994). Blood DNAs were prepared from each patients and hybridized to Affymetrix’s SNP Array 6.0. Genotypes were determined using the Affymetrix Genotyping Console software (version 2.1) based on the BRLMM-P algorithm. We used an ANOVA test to identify SNPs associated with quantitative TRG responses.

2012-12-31 | E-GEOD-35282 | biostudies-arrayexpress

Promoter methylation data from genomic DNA in patient with rectal cancer

2014-08-01 | GSE39958 | GEO

Promoter methylation data from genomic DNA in patient with rectal cancer

Project description:The identification of surrogate methylation markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used InfiniumM-BM-. Methylation Assay to detail methylation status of patientM-bM-^@M-^Ys group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers. The chemoradiosensitivity of tumor tissue from the initial cohort of 45 patients was assessed using clinical responses of tumor regression grade (TRG). TRG was clinically categorized as complete response (CR) as TRG 1, dominant response (ER or finally as DR) as TRG 1 and 2, and efficient response (RYN or finally as ER) as TRG 1, 2, and 3 (TRG grade from Mandard et al, 1994). Examination of genome-wide DNA methylation in 45 colon cancer tissues. We separated patients into TRG1,2,3,4 and 5 group after chemoradiotherapy(CRT). As proposed by Mandard et al. TRG 1, complete tumor response; TRG2, residual cancer cells scattered through fibrosis; TRG 3, an increased number of residual cancer cells, with predominant fibrosis; TRG 4, residual cancer outgrowing fibrosis; and TRG 5, no regressive changes within the tumor: Responders (TRG 1 and 2) and nonresponders (TRG 3?5). Mandard et al. Cancer 1994 Group 1 and Group 2 in ER, CR and RYN was divided by TRG classification. CR: group 1 - TRG 2,3,4 and 5; group 2 - TRG 1 ER: group 1 - TRG 3,4,5; group 2 - TRG 1 and 2 RYN: group 1 - TRG 4 and 5; group 2 - TRG 1,2 and 3

2014-08-01 | E-GEOD-39958 | biostudies-arrayexpress

SNP data from blood DNAs of patients with gastric cancer

Project description:The identification of surrogate single nucleotide polymorphism (SNP) markers that can predict responses to chemotherapy could enable the efficient selection of patients for various regimens. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of influencing drug responses. We used Affymetrix’s SNP Array 6.0 to detail genetic polymorphism of patient’s group showing differential responsiveness to various regimens and profiled SNP biomarkers for various regimens.

2011-12-31 | GSE26853 | GEO

T-cell receptor repertoire in rectal cancer

Project description:Emerging evidence suggests that an increased density of pre-treatment CD8+ tumor-infiltrating lymphocytes (TILs) is associated with good response to chemoradiotherapy (CRT) in patients with locally advanced rectal cancer. However, the significance of T-cell complexity in the clinical setting remains unknown. High-throughput T-cell receptor (TCR) β sequencing was applied to quantify the TCR repertoire of pre-treatment biopsies from 67 patients with advanced rectal cancer receiving preoperative CRT. Changes in TCR repertoire before and after CRT were also analysed in 23 patients.

2022-11-22 | GSE218181 | GEO

MiRNA expression arrays from esophageal squamous cell carcinomas with different neoadjuvant chemoradiotherapy response

2015-07-27 | GSE59974 | GEO

Expression data from esophageal squamous cell carcinomas and normal esophageal epithelia

2014-08-01 | GSE45670 | GEO

Predicting multi-class responses to preoperative chemoradiotherapy in rectal patients

Project description:The treatment strategy of rectal cancer has substantially changed in recent decades. Historically postoperative chemoradiotherapy (CRT) was considered to be the first-line therapy for stage II and III rectal cancers. However, the preoperative CRT is now considered to be the optimal therapy regimen for locally advanced rectal ancer due to its improved local control, reduced toxicity, and increased rate of sphincter preservation. Our study established a clinically practical multi-class prediction model by adopting a novel strategy that applies two separate prediction models (MI and TO predictor) sequentially to a patient to predict the response. For promising clinical practice, we validated our model in a published dataset, which is completely independent dataset from ours. This study suggests a clinically plausible prediction model that correctly infers the preoperative CRT response of patients with high accuracy based on 163 gene signatures we identified. Total RNAs were isolated from primary rectal tumor tissues of 69 patients who underwent chemoradiation therapy (CRT). These patients are classified into four different CRT responses: minimal response (MI), moderate response (MO), near total response (NT) and total response (TO). All the RNAs were subjected to microarray analysis using Affymetrix GenChip arrays.

2013-05-14 | E-GEOD-46862 | biostudies-arrayexpress

Expression data from esophageal squamous cell carcinomas and normal esophageal epithelia

Project description:Preoperative chemoradiotherapy (CRT) followed by surgery has been proved to improve esophageal squamous cell carcinoma (ESCC) patientsM-bM-^@M-^Y survival in comparison with surgery alone. However, the outcomes of CRT are heterogeneous, and no clinical or pathological method could predict CRT response. We aim to identify mRNA markers for ESCC CRT-response prediction through gene expression analyses. Gene expression analyses were performed on pretreatment cancer biopsies from 28 ESCCs who received neoadjuvant CRT and surgery and 10 normal esophageal epithelia using Affymetrix U133 Plus 2.0 arrays.

2014-08-01 | E-GEOD-45670 | biostudies-arrayexpress

MiRNA expression arrays from esophageal squamous cell carcinomas with different neoadjuvant chemoradiotherapy response

Project description:Preoperative chemoradiotherapy (CRT) followed by surgery has been proved to improve esophageal squamous cell carcinoma (ESCC) patients’ survival in comparison with surgery alone. However, the outcomes of CRT are heterogeneous, and no clinical or pathological method could predict CRT response. We aim to identify miRNA markers for ESCC CRT-response prediction through miRNA expression analyses. MiRNA expression analyses were performed on pretreatment cancer biopsies from 28 ESCCs who received neoadjuvant CRT and surgery using Agilent human miRNA microarrays based on miRBase (release 18.0) GeneChip®.

2015-07-27 | E-GEOD-59974 | biostudies-arrayexpress

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