Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative computational biology and molecular determinants of rectal cancer resistance to chemoradiotherapies

ABSTRACT: Gene expression analysis identified a CRC related signature of differentially expressed genes discriminating patients Responder and Non Responder to radiochemotherapy Gene expression signatures of CRC samples Responder and Non Responder to radiochemotherapy were analyzed using supervised analyses

ORGANISM(S): Homo sapiens

PROVIDER: GSE45404 | GEO | 2017/01/01

SECONDARY ACCESSION(S): PRJNA193688

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Integrative computational biology for cancer research.

Project description: Not available

| S-EPMC3179275 | biostudies-literature

Race-specific patterns of epigenetic aging and age-associated differential methylation in normal rectal biopsies: Implications for the biology of aging and its relationship to rectal cancer

Project description:Approximately 90% of colorectal cancer (CRC) develop over the age of 50, highlighting the im-portant role of aging in CRC risk. African Americans (AAs) shoulder a greater CRC burden than European Americans (EA), and are more likely to develop CRC at a younger age. The effects of aging in AA and EA normal rectal tissue have yet to be defined. Here, we performed epige-nome-wide DNA methylation analysis in the first, large-scale biracial cohort of normal rectum (n=140 samples)

2022-12-23 | GSE216024 | GEO

Small bowel adenocarcinoma copy number profiles are more closely related to colorectal than to gastric cancers

Project description:Purpose: Small bowel adenocarcinoma (SBA) is a rare cancer and consequently the number of clinical trials has been very limited due to the small numbers of patients. Chemotherapy regimens are currently rather arbitrarily chosen between either a colorectal (CRC) or a gastric cancer (GC) regimen. Chromosomal copy number aberrations are a hallmark of solid tumours and can be measured by array comparative genomic hybridization (aCGH). The aim of the present study is to investigate whether genome-wide copy number aberrations of SBA are more similar to CRC or GC in order to support treatment of SBA according to either regimen. Experimental Design: A total of 85 GCs, CRCs and SBAs were selected from existing in house aCGH datasets based on array quality and clinical parameters. Differences and similarities in gains and losses of the three tumor types were analyzed using supervised and unsupervised analysis. Results: Hierarchical clustering revealed substantial overlap of chromosomal copy number profiles between SBA and CRC and less overlap between SBA and GC. Chromosome 13q13.2-q31.3 is primarily gained in SBA and CRC and the strongest feature discriminating SBA from GC. Further strong discriminating copy number characteristics are aberrations at chromosomes 1p36.3-p34.3, 4p15.3-q35.2, 9p24.3-p11.1 and 17p13.3-p13.2. Conclusions: SBA is more similar to CRC than to GC, based on genome-wide copy number aberrations. These data provide molecular support for treatment of SBA according to a CRC regimen. 29 gastric adenocarcinomas on 5K or 6K BAC arrays of which 2 samples are also done on 30K oligonucleotide arrays as control samples, 29 colorectal adenocarcinomas on 5K or 6K BAC arrays of which 2 samples are also done on 30K oligonucleotide arrays as control, 27 small bowel adenocarcinomas done on 30K oligonucleotide arrays of which 2 samples are also done on 5K BAC arrays as control.

2011-06-13 | E-GEOD-23418 | biostudies-arrayexpress

Small bowel adenocarcinoma copy number profiles are more closely related to colorectal than to gastric cancers

2011-06-13 | GSE23418 | GEO

Expression data from rectal cancer

Project description:A supervised method (Significance Analysis of Microarrays -SAM-) was used to find statistically significance (adjusted p<0.05) in differentially expressed genes between responding and non-responding groups.

2020-08-01 | GSE119409 | GEO

Vivarium: an interface and engine for integrative multiscale modeling in computational biology.

Project description: Not available

| S-EPMC8963310 | biostudies-literature

Rectal Cancer Cells and Radiation-sensitivity

Project description:Biopsy specimens were collected from rectal cancer before starting preoperative radiotherapy.The expression profiles were determined using Affymetrix Human Genome U95 version 2 arrays.Comparison between the sample groups allow to identify a set of discriminating genes that can be used for characterization of responders and nonresponders to preoperative radiotherapy in rectal cancer. Keywords: repeat

2006-03-29 | GSE3493 | GEO

MLL rearrangements in pediatric ALL and AML: MLL specific and lineage specific signatures

Project description:Gene expression analysis identified a MLL translocation-specific signature of differentially expressed genes discriminating ALL and AML with and without MLL rearrangements. Gene expression signatures of acute lymphoblastic and myeloblastic leukemia samples with and without MLL rearrangements were analyzed using paired supervised analyses.

2009-07-22 | GSE14062 | GEO

Uncovering direct and indirect molecular determinants of chromatin loops using a computational integrative approach.

Project description: Not available

| S-EPMC5462476 | biostudies-literature

From integrative structural biology to cell biology.

Project description: Not available

| S-EPMC8203844 | biostudies-literature