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accession-icon GSE16987
A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis
  • organism-icon Homo sapiens
  • sample-icon 161 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

When making treatment decisions, oncologists often stratify breast cancers into a low-risk group (ER+, low grade); an intermediate-risk group (ER+, high grade); and a high-risk group that includes Her2+ and triple-negative (ER-/PR-/Her2-) tumors. None of the currently available gene signatures correlates to this clinical classification. We aimed to develop a test that is practical for the oncologists, that offers both molecular characterization of BCs, and improved prediction of prognosis and treatment response. We investigated the molecular basis of such clinical practice by grouping Her2+ and triple-negative breast cancers together during clustering analyses on the genome-wide gene expression profiles of our training cohort, mostly derived from fine needle aspiration biopsies (FNABs) of 149 consecutive evaluable Breast cancers. The analyses consistently divided these tumors into a three-cluster pattern, similar to clinical risk-stratification groups, that was reproducible in published microarray databases (n=2487) annotated with clinical outcomes. The clinicopathologic parameters of each of these three molecular groups were also similar to clinical classification. The low-risk group had good outcomes and benefited from endocrine therapy. Both intermediate- and high-risk groups had poor outcomes and were resistant to endocrine therapy. The latter demonstrated the highest rate of complete pathological response to neoadjuvant chemotherapy; the highest activities in MYC, E2F1, Ras, -Catenin and IFN- pathways; and poor prognosis predicted by 14 independent prognostic signatures. Based on a multivariate analysis, this new gene signature, termed ClinicoMolecular Triad Classification, predicted recurrence and treatment response better than all pathologic parameters and other prognostic signatures.

Publication Title

A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE16984
Comparability and concordance of replicated microarray data.
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

To measures the comparability and concordance of Illumina microarray, a series of 30 samples of Universal Human Reference RNA (UHRR) were set as controls for every single chip of total 30 Human-Ref V2 BeadChips. The average bead number of the 30 arrays was 42.38.1 for any bead type over the 22,184 probes. A high average correlation coefficient (r) value was obtained as 0.99080077 relative to each other of the expression intensity values from the 30 duplicate UHRR samples.

Publication Title

A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis.

Sample Metadata Fields

Disease

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accession-icon GSE23386
Clinical relevance of DNA microarray analyses using archival formalin-fixed paraffin-embedded breast cancer specimens
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Clinical relevance of DNA microarray analyses using archival formalin-fixed paraffin-embedded breast cancer specimens.

Sample Metadata Fields

Age, Specimen part, Disease stage

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accession-icon GSE142102
Whole genome expression profiling of triple negative breast tumors in 226 African American women
  • organism-icon Homo sapiens
  • sample-icon 226 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Purpose: Black/African American (AA) women are twice as likely to be diagnosed with triple negative breast cancer (TNBC) compared to whites, an aggressive breast cancer subtype associated with poor prognosis. There are no routinely used targeted clinical therapies for TNBC; thus there is a clear need to identify prognostic markers and potential therapeutic targets. Methods: We evaluated expression of 27,016 genes in 155 treatment-naïve TN tumors from AA women in Detroit. Associations with survival were evaluated using Cox proportional hazards models adjusting for stage and age at diagnosis, and p-values were corrected using a false discovery rate. Our validation sample consisted of 158 TN tumors (54 AA) from The Cancer Genome Atlas (TCGA). Meta-analyses were performed to obtain summary estimates by combining TCGA and Detroit AA cohort results. Results: In the Detroit AA cohort, CLCA2 [Hazard ratio (HR)=1.56, 95% confidence interval (CI) 1.31-1.86, nominal p=5.1x10-7, FDR p=0.014], SPIC [HR=1.47, 95%CI 1.26-1.73, nominal p=1.8x10-6, FDR p=0.022], and MIR4311 [HR=1.57, 95% CI 1.31-1.92, nominal p=2.5x10-5, FDR p=0.022] expression were associated with overall survival. Further adjustment for treatment and breast cancer specific survival analysis did not substantially alter effect estimates. Meta-analysis with TCGA data showed that CLCA2 and SPIC were associated with overall survival for TNBC among AA women. Conclusions: We identified three potential prognostic markers for TNBC in AA women, for which SPIC may be an AA-specific prognostic marker.

Publication Title

CLCA2 expression is associated with survival among African American women with triple negative breast cancer.

Sample Metadata Fields

Age, Treatment, Race

View Samples
accession-icon GSE19143
Gene expression data from children diagnosed with ALL in vitro sensitive or resistant to prednisolone
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Although the prognosis for childhood Acute Lymphoblastic Leukemia (ALL) in general has improved tremendously over the last decades, the survival chances for infants (<1 year of age) with ALL remains poor.

Publication Title

Association of high-level MCL-1 expression with in vitro and in vivo prednisone resistance in MLL-rearranged infant acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE5847
Tumor and stroma from breast by LCM
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Tumor epithelium and surrounding stromal cells were isolated using laser capture microdissection of human breast cancer to examine differences in gene expression based on tissue types from inflammatory and non-inflammatory breast cancer

Publication Title

A stromal gene signature associated with inflammatory breast cancer.

Sample Metadata Fields

Specimen part, Disease, Race, Subject

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accession-icon SRP067339
Ikaros-regulated genes in a mouse model of BCR-ABL1+ acute lymphoblastic leukemia
  • organism-icon Mus musculus
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2000

Description

To examine Ikaros tumor suppressor mechanisms, we have utilized inducible RNAi to dynamically restore endogenous Ikaros expression in BCR-ABL1+ B-ALL driven by its knockdown (Ikaros knockdown), and compared these tumors to tumors driven by BCR-ABL1 alone (control). Restoration of Ikaros causes rapid regression of tumor cells in vivo, significantly prolonging tumor transplant recipient survival. Using both transgenic and retroviral approaches, we conducted expression analysis of B-ALL by RNA-Seq and have identified a series of Ikaros-regulated genes within established tumor cell in vivo. Comparison of Ikaros-activated and Ikaros-repressed genes with human B-ALL expression data shows a set of conserved Ikaros target genes, some of which are associated with patient outcome (namely, CTNND1, IFITM3 and EMP1). Overall design: RNA-seq was performed on BCR-ABL1+ B-ALL with inducible Ikaros knockdown (Ikaros knockdown, n=8; transgenic n=5, retroviral n=3) or BCR-ABL1+ alone B-ALL (control, n=4; transgenic n=3, retroviral n=1) cells isolated from untreated and three 3-day Dox-treated mice. Samples were run on HiSeq or NextSeq platform. B-ALL B031 was run in technical duplicate. Extended Dox samples (B027: d7 and d10) and relapse samples for B027, B029 and B035 have also been analyzed in this dataset.

Publication Title

Conserved IKAROS-regulated genes associated with B-progenitor acute lymphoblastic leukemia outcome.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE53957
Transcriptomic profiling of Arabidopsis exposed to E-2-hexenal
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plants are known to be responsive to volatiles, but knowledge about the molecular players involved in transducing their perception remain scarce.

Publication Title

WRKY40 and WRKY6 act downstream of the green leaf volatile E-2-hexenal in Arabidopsis.

Sample Metadata Fields

Treatment

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accession-icon GSE10801
C. fulvum Avr2
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Heterologous expression of the fungal pathogen Cladosporium fulvum Avr2 in Arabidopsis plants.

Publication Title

The Cladosporium fulvum virulence protein Avr2 inhibits host proteases required for basal defense.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12446
Endometrium of hormone-treated postmenopausal women
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Title: Transcriptome analysis of human endometrial tissues from healthy post-menoupausal women reflecting the endometrial response to 3-weeks treatment with tibolone, E2 and E2+MPA.

Publication Title

Molecular analysis of human endometrium: short-term tibolone signaling differs significantly from estrogen and estrogen + progestagen signaling.

Sample Metadata Fields

No sample metadata fields

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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)

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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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