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accession-icon GSE8977
Bone-marrow-derived mesenchymal stem cells promote breast cancer metastasis
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

tumor microenviroment facilitates metastatic spread by eliciting reversible changes in the phenotypes of cancer cells

Publication Title

Mesenchymal stem cells within tumour stroma promote breast cancer metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP056593
Global transcriptome analysis of macrophages during Helicobacter pylori infection
  • organism-icon Mus musculus
  • sample-icon 334 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Based on preliminary data demonstrating that macrophages are critical regulators of Helicobacter pylori colonization and gastric pathology in mice, we sought to investigate how macrophages may serve as bacterial reservoirs of intracellular H. pylori. Overall design: BMDM were isolated from WT and PPARg-/- mice and cultured with M-CSF for 7 days to promote macrophage differentiation. Fully differentiation macrophages were challenged with H. pylori strains SS1 at an MOI of 10 for 15 minutes. Extracellular bacteria was then eliminated by gentamycin treatment. Cells were collected at 0, 60, 120, 240, 360 and 720 minutes post gentamycin treatment to ascertain whole transcriptome differential gene expression during infection.

Publication Title

Identification of new regulatory genes through expression pattern analysis of a global RNA-seq dataset from a Helicobacter pylori co-culture system.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72970
Molecular subtypes of metastatic colorectal cancer are predictive of patient response to chemo and targeted therapies
  • organism-icon Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular subtypes of metastatic colorectal cancer are associated with patient response to irinotecan-based therapies.

Sample Metadata Fields

Sex, Age

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accession-icon GSE72968
Molecular subtypes of metastatic colorectal cancer are predictive of patient response to chemo and targeted therapies (part 1)
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

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.

Publication Title

Molecular subtypes of metastatic colorectal cancer are associated with patient response to irinotecan-based therapies.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE72969
Molecular subtypes of metastatic colorectal cancer are predictive of patient response to chemo and targeted therapies (part 2)
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

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.

Publication Title

Molecular subtypes of metastatic colorectal cancer are associated with patient response to irinotecan-based therapies.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE1561
EORTC 10994 clinical trial
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

EORTC 10994 is a phase III clinical trial comparing FEC with ET in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 100 ng total RNA per chip were amplified using the Affymetrix small sample protocol (IVT then Enzo). 49 tumours were tested on Affymetrix U133A chips. The CEL files were quantile normalised together using rma. Clinical response data are not available yet.

Publication Title

Identification of molecular apocrine breast tumours by microarray analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12093
The 76-gene Signature Defines High-Risk Patients that Benefit from Adjuvant Tamoxifen Therapy
  • organism-icon Homo sapiens
  • sample-icon 136 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Classification of tamixifen-treated breast cancer patients into high and low risk groups using the 76-gene signature

Publication Title

The 76-gene signature defines high-risk patients that benefit from adjuvant tamoxifen therapy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53786
DLBCL cell-of-origin by gene expression in FFPET
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The assignment of diffuse large B-cell lymphoma into cell-of-origin (COO) groups is becoming increasingly important with the emergence of novel therapies that have selective biological activity in germinal center B-cell-like (GCB) or activated B-cell-like (ABC) groups. The LLMPP's Lymph2Cx assay is a parsimonious digital gene-expression (NanoString) based test for COO assignment in formalin-fixed paraffin-embedded tissue (FFPET) routinely produced in standard diagnostic processes. The 20-gene assay was trained using 51 FFPET biopsies; the locked assay was then validated using an independent cohort of 68 FFPET biopsies. Comparisons were made with COO assignment using the original COO model on matched frozen tissue. In the validation cohort the assay was accurate, with only one case with definitive COO being incorrectly assigned, and robust, with >95% concordance of COO assignment between 2 independent laboratories. These qualities, along with the rapid turn-around-time, make Lymph2Cx attractive for implementation in clinical trials and, ultimately, patient management.

Publication Title

Determining cell-of-origin subtypes of diffuse large B-cell lymphoma using gene expression in formalin-fixed paraffin-embedded tissue.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE17920
Expression data of diagnostic biopsy samples from Hodgkin lymphoma patients
  • organism-icon Homo sapiens
  • sample-icon 130 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite advances in Hodgkin lymphoma (HL) treatment, about 20% of patients still die due to progressive disease. Current prognostic models predict treatment outcome with imperfect accuracy, and clinically relevant biomarkers are yet to be established that improve upon the International Prognostic Scoring (IPS) system. We analyzed 130 frozen diagnostic lymph node biopsies from classical HL patients by gene expression profiling to describe cellular signatures correlated with treatment outcome.

Publication Title

Tumor-associated macrophages and survival in classic Hodgkin's lymphoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon SRP147452
Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain L]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

10X Genomics single cell RNAseq of MCF7 cells Human cancer cell lines are the workhorse of cancer research. While cell lines are known to evolve in culture, the extent of the resultant genetic and transcriptional heterogeneity and its functional consequences remain understudied. Here, genomic analyses of 106 cell lines grown in two laboratories revealed extensive clonal diversity. Follow-up comprehensive genomic characterization of 27 strains of the common breast cancer cell line MCF7 uncovered rapid genetic diversification. Similar results were obtained with multiple strains of 13 additional cell lines. Importantly, genetic changes were associated with differential activation of gene expression programs and marked differences in cell morphology and proliferation. Barcoding experiments showed that cell line evolution occurs as a result of positive clonal selection that is highly sensitive to culture conditions. Analyses of single cell-derived clones showed that ongoing instability quickly translates into cell line heterogeneity. Testing of the 27 MCF7 strains against 321 anti-cancer compounds uncovered strikingly disparate drug response: at least 75% of compounds that strongly inhibited some strains were completely inactive in others. This study documents the extent, origin and consequence of genetic variation within cell lines, and provides a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research. Overall design: Single cell clones were derived from MCF7 cells (strain L) and cultured.

Publication Title

Genetic and transcriptional evolution alters cancer cell line drug response.

Sample Metadata Fields

Specimen part, Subject

View Samples

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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