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accession-icon GSE26250
MC70 potentiates doxorubicin efficacy in colon and breast cancer in vitro treatment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A major limitation in the cancer treatment is the ability of cancer cells to become resistant to chemotherapeutic drugs, by multidrug establishment. Here, we evaluate the possibility to utilize MC70, either as ABC transporters inhibitor or as anticancer agent, in monotherapy or in combination with doxorubicin for cancer treatment. The study was carried out in MCF7/ADR and Caco-2, breast and colon cancer cells, respectively. Cell growth and apoptosis were measured by MTT assay and DNA laddering Elisa kit, respectively. Cell cycle perturbation and cellular targets modulation were analyzed by flowcytometry and western blotting, respectively. MC70 was analyzed for its interaction with ABC transporters, MDR-1, BCRP and MRP-1, and for its anticancer activity. In MCF7/ADR, MC70 slight inhibited cell proliferation and strongly enhanced doxorubicin effectiveness; conversely in Caco-2, it inhibited cell growth without affecting doxorubicin efficacy. In addition, it induced apoptosis, canceled in favor of necrosis when it was given in combination with high doses of the anthracycline. Moreover, MC70 inhibited cell migration probably through its residual activity as sigma-1 ligand. Among the hypothesized molecular and cellular mechanisms responsible for all these effects, modulations of cell cycle, of pAkt and of the three MAPKs phosphorylation were evidenced while activity at transcription level was excluded. MC70 can be considered as a potential new anticancer agent with the capability to enhance doxorubicin effectiveness and an interesting role in the treatment of chemotherapy resistant tumors.

Publication Title

MC70 potentiates doxorubicin efficacy in colon and breast cancer in vitro treatment.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE6465
Expression data of Hepatocellular Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression profiling of Xenografts of Hepatocellular Carcinoma

Publication Title

Bevacizumab and rapamycin induce growth suppression in mouse models of hepatocellular carcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE48352
DPYS as a potential diagnostic biomarker in hereditary and sporadic PRCC2
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Papillary renal cell carcinoma type 2 (PRCC2) is known to be very aggressive type of tumor without effictive therapy. Hereditary form of PRCC2 is caused by Fumarate Hydratase (FH) gene mutation that accompanied Hereditary Leiomyomatosis and Renal Cell Carcinoma (HLRCC) disorder. In sporadic form of PRCC2 the mutation of FH gene has not been reported. Both forms of tumors have the similar histopathological characteristics with poor survival prognosis.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE58208
Gene expression profiling of PBMC from normal individuals, chronic hepatitis B carriers and hepatocellular carcinoma patients
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with chronic hepatitis B carriers and HCC were identified using Affymetrix gene arrays.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE49515
Expression profiling of PBMC from patients with hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and hepatocellular carcinoma (HCC) were identified using Affymetrix gene arrays.

Publication Title

A blood-based three-gene signature for the non-invasive detection of early human hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE36076
A combined strategy of global gene expression analysis and multiplex PCR established a 13-member gene signature for the diagnosis of human hepatocellular carcinoma.
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant gene expression between HCC tumor tissues, histologically normal adjacent liver tissues and peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and HCC were identified using Affymetrix gene arrays.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE51521
Gene expression profiling of Angioimmunoblastic T-Cell lymphoma (AITL) tumors
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Angioimmunoblastic T-Cell lymphoma (AITL) is a mature T-cell lymphoma of blood or lymph vessel immunoblasts. It is the most common subtype of T-cell lymphoma in the Western world and the second most frequent one in Asia. We sequenced nine pairs of AITL exomes and their matched normals. Frequent mutations in TET2 and RHOA were detected, and confirmed through targeted sequencing in a larger cohort of 43 samples. Gene expression profiling was performed to identify genes differentially expressed between patients with and without mutations in genes of interest.

Publication Title

No associated publication

Sample Metadata Fields

Disease

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accession-icon GSE54054
Expression data from mouse liver
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Hepatocellular carcinoma (HCC) is a deadly disease, often unnoticed till the late stages, where treatment options become limited. Thus, there is a critical need to identify early biomarkers for detection of the developing HCC, as well as molecular pathways that would be amenable to therapeutic intervention. While efforts using human serum and tissues from late stage patients have been undertaken, progress has been limited. We have therefore explored the possibility of utilizing established mouse models for the discovery of biomarkers, as well as to understand in a systematic manner the molecular pathways that are progressively deregulated by the various etiological factors in contributing to HCC formation. As an initial effort, we have used the Hepatitis B surface antigen (HBsAg) transgenic mice as a hepatitis model, which have been exposed to aflatoxin B1 (AFB1). In this report, we present the initial findings from a extensive longitudinal study, which confirms the synergistic effect of both these etiological factors, with a gender bias towards male mice. Tumors from the mouse models were validated both histologically as well as by molecular transcriptome analysis by comparison with human HCCs. In addition, using these models, we have identified carnitine as a novel biomarker for HCC development, which was again validated using human HCC samples. Conclusion: This study therefore highlights the utility of these mouse models in identifying biomarkers for detection of human HCCs, as well as for the systematic analysis of molecular pathways that are affected by various etiological agents during the progression of HCC from an untransformed hepatocyte, which could provide novel options for targeted therapy.

Publication Title

Molecular characterization of hepatocarcinogenesis using mouse models.

Sample Metadata Fields

Specimen part

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accession-icon GSE70654
Type II Enteropathy-associated T-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Genome-Wide Human SNP 6.0 Array (genomewidesnp6)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

JAK-STAT and G-protein-coupled receptor signaling pathways are frequently altered in epitheliotropic intestinal T-cell lymphoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE55594
Gene expression profiling of breast fibroadenomas
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Fibroadenomas are the most common benign breast tumors in women under 30. Unlike their malignant counterparts, relatively molecular profiling has been done on fibroadenomas. Here we performed gene expression profiling on ten fibroadenomas in order to better characterize these tumors. Through targeted amplicon sequencing, we have found that six of these tumors have MED12 mutations. We show that the MED12 mutations, among others, are associated with activated estrogen signaling, as well as increased invasiveness through upregulation of ECM remodelling genes.

Publication Title

Exome sequencing identifies highly recurrent MED12 somatic mutations in breast fibroadenoma.

Sample Metadata Fields

Age

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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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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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