Similar studies for GEO DataSets (Select 200072969) - GEO DataSets

Select item 2000729691.

Molecular subtypes of metastatic colorectal cancer are predictive of patient response to chemo and targeted therapies (part 2)

(Submitter supplied) We report that previously described molecular subtypes of colorectal cancer are associated with the response to therapy in patients with metastatic disease. We also identified a patient population with high FOLFIRI sensitivity, as indicated by their 2.7-fold longer overall survival when treated with FOLFIRI, as first-line regimen, instead of FOLFOX. Our results demonstrate the interest of molecular classifications to develop tailored therapies for patients with metastatic colorectal cancer.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
56 Samples

Download data: CEL

Series

Accession:: GSE72969

ID:: 200072969

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000729702.

Molecular subtypes of metastatic colorectal cancer are predictive of patient response to chemo and targeted therapies

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
124 Samples

Download data: CEL

Series

Accession:: GSE72970

ID:: 200072970

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000729683.

Molecular subtypes of metastatic colorectal cancer are predictive of patient response to chemo and targeted therapies (part 1)

(Submitter supplied) We report that previously described molecular subtypes of colorectal cancer are associated with the response to therapy in patients with metastatic disease. We also identified a patient population with high FOLFIRI sensitivity, as indicated by their 2.7-fold longer overall survival when treated with FOLFIRI, as first-line regimen, instead of FOLFOX. Our results demonstrate the interest of molecular classifications to develop tailored therapies for patients with metastatic colorectal cancer.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
68 Samples

Download data: CEL

Series

Accession:: GSE72968

ID:: 200072968

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000620804.

Gene expression signature in advanced colorectal cancer patients select drugs and response for the use of leucovorin, fluorouracil, and irinotecan

(Submitter supplied) 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. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
21 Samples

Download data: CEL

Series

Accession:: GSE62080

ID:: 200062080

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000842705.

Transcriptomics changes in liver metastatic biopsies of colorectal carcinoma between pre-treated and acquired resistance to Cetuximab

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:: GPL11154
8 Samples

Download data: TXT

Series

Accession:: GSE84270

ID:: 200084270

PubMed Full text in PMC Similar studies

Select item 2000842696.

Transcriptomics changes in liver metastatic biopsies of colorectal carcinoma between pre-treated and acquired resistance to Cetuximab [miRNA]

(Submitter supplied) Two patients who were newly diagnosed and pathologically confirmed metastatic colorectal cancer were screened for eligibility between August 2011 and December 2013 in Affiliated Hospital, Academy of Military Medical Sciences. They were treated with Cetuximab in combination with FOLFOX regimen and obtained continuous partial responses in more than six months. CT scans of liver lesions were performed every two to eight weeks. more...

Organism:: Homo sapiens

Type:: Non-coding RNA profiling by high throughput sequencing

Platform:: GPL11154
4 Samples

Download data: TXT

Series

Accession:: GSE84269

ID:: 200084269

PubMed Full text in PMC Similar studies SRA Run Selector

Select item 2000842677.

Transcriptomics changes in liver metastatic biopsies of colorectal carcinoma between pre-treated and acquired resistance to Cetuximab [mRNA]

(Submitter supplied) Two patients who were newly diagnosed and pathologically confirmed metastatic colorectal cancer were screened for eligibility between August 2011 and December 2013 in Affiliated Hospital, Academy of Military Medical Sciences. They were treated with Cetuximab in combination with FOLFOX regimen and obtained continuous partial responses in more than six months. CT scans of liver lesions were performed every two to eight weeks. more...

Organism:: Homo sapiens

Type:: Expression profiling by high throughput sequencing

Platform:: GPL11154
4 Samples

Download data: TXT

Series

Accession:: GSE84267

ID:: 200084267

PubMed Full text in PMC Similar studies Analyze with GEO2R SRA Run Selector

Select item 2000103098.

Claudin-1 is an Invasion and Metastasis Suppressor of Lung Adenocarcinoma

(Submitter supplied) Background: Claudin-1(CLDN1), one of the key components of tight junction proteins, was found to be down-regulated in human lung adenocarcinomas. This study we investigated the clinical significance of CLDN1 expression in lung adenocarcinoma patients and its role in cancer progression. Method: CLDN1 mRNA expression was measured in tumor specimens from 51 patients with lung adenocarcinoma. CLDN1 protein expression was also examined by immunohistochemistry on specimens from an independent cohort of 67 lung adenocarcinoma patients. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS3510
Platform:: GPL570
4 Samples

Download data: CEL

Series

Accession:: GSE10309

ID:: 200010309

Select item 35109.

Claudin-1 overexpression effect on lung adenocarcinoma cell line

Analysis of lung adenocarcinoma CL1-5 cells overexpressing Claudin-1 (CLDN1), a component of tight junction complexes. Low CLDN1 expression in lung adenocarcinomas is associated with shorter overall survival. Results provide insight into the role of CLDN1 in the progression of lung adenocarcinoma.

Organism:: Homo sapiens

Type:: Expression profiling by array, transformed count, 2 protocol sets

Platform:: GPL570
Series:: GSE10309
4 Samples

Download data: CEL

DataSet

Accession:: GDS3510

ID:: 3510

Select item 20007045810.

Analysis of MACC1 dependent gene expression regulation in CRC cells

(Submitter supplied) We employed whole genome expression profiling to identify differential gene expression in the colorectal cancer (CRC) cell line SW480 (ATCC - CCL-228), dependent on the expression level of MACC1 (Metastasis Associated in Colon Cancer 1). SW480 cells with endogenously low expression levels of MACC1 were transfected either with CMV-promoter driven MACC1-cDNA or the empty vector, and selected for stable expression.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL4133
4 Samples

Download data: TXT

Series

Accession:: GSE70458

ID:: 200070458

Select item 20023451311.

LIN28B promotes cell invasion and colorectal cancer metastasis via CLDN1 and NOTCH3

(Submitter supplied) The RNA-binding protein LIN28B is overexpressed in over 30% of patients with colorectal cancer (CRC) and is associated with poor prognosis. In the present study, we unravel a novel mechanism by which LIN28B regulates colonic epithelial cell-cell junctions and CRC metastasis. Using human CRC cells (DLD-1, Caco-2 and LoVo) with either knockdown or overexpression of LIN28B, we identified Claudin 1 (CLDN1) tight junction protein as a direct downstream target and effector of LIN28B. more...

Organism:: Homo sapiens

Type:: Expression profiling by high throughput sequencing

Platform:: GPL16791
12 Samples

Download data: CSV

Series

Accession:: GSE234513

ID:: 200234513

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20010055012.

Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL13158
106 Samples

Download data: CEL

Series

Accession:: GSE100550

ID:: 200100550

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20010054913.

Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [primary cell lines AMC/Palermo]

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL13158
15 Samples

Download data: CEL

Series

Accession:: GSE100549

ID:: 200100549

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20010048014.

Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [patient tumors and PDX models]

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL13158
55 Samples

Download data: CEL

Series

Accession:: GSE100480

ID:: 200100480

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20010047915.

Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [primary cell lines Hubrecht Institute]

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL13158
18 Samples

Download data: CEL

Series

Accession:: GSE100479

ID:: 200100479

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20010047816.

Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [cell line panel]

(Submitter supplied) Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL13158
18 Samples

Download data: CEL

Series

Accession:: GSE100478

ID:: 200100478

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20015217817.

Affymetric SNP Array Data of 45 liver metastasis samples from colorectal cancer patients

(Submitter supplied) To investigate genomic plasticity over time associated with response to standard chemotherapy, we collected longitudinal liver metastasis (LM) samples from 155 patients and characterized the copy number aberration (CNA) landscape and its effect on the transcriptome. CNA profiles of lesions exhibiting different treatment response were compared and focal genomic divergences reported. By investigating genomic-phenotype associations of the largest reported LM cohort to date, we identified novel molecular features associated with drug response supporting the relevance of collecting clinical metastatic samples.

Organism:: Homo sapiens

Type:: SNP genotyping by SNP array; Genome variation profiling by SNP array

Platform:: GPL16131
45 Samples

Download data: CEL, CYCHP

Series

Accession:: GSE152178

ID:: 200152178

PubMed Full text in PMC Similar studies

Select item 20019922318.

Gene expression profiling of human colorectal cancer cell lines KM12SM and SW620

(Submitter supplied) Colorectal cancer (CRC) is the second leading cause of cancer death in developed countries, mainly as a consequence of metastatic spread. A significant number of diagnosed and treated patients relapse after a few years and may eventually die from metastasis. Our goal was to develop and validate a gene-based risk score algorithm for patient stratification in stages II and III based on metastasis-related secreted proteins

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL23159
6 Samples

Download data: CEL

Series

Accession:: GSE199223

ID:: 200199223

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20018688019.

Reuterin in the healthy gut microbiome suppresses colorectal cancer growth through altering redox balance

(Submitter supplied) Microbial dysbiosis is a colorectal cancer (CRC) hallmark and contributes to inflammation, tumor growth, and therapy response. Gut microbes signal via metabolites, but how the metabolites impact CRC is largely unknown. We interrogated fecal metabolites associated with mouse models of colon tumorigenesis with varying mutational load. We found that microbial metabolites from healthy mice or humans were growth-repressive, and this response was attenuated in mice and patients with CRC. more...