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accession-icon GSE65186
Non-genomic and Immune Evolution in Melanoma with Acquired MAPKi Resistance
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP052740
RNAseq changes in pre MAPKi treatment and post MAPKi resistance Melanomas
  • organism-icon Homo sapiens
  • sample-icon 169 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Melanoma resistance to MAPK- or T cell checkpoint-targeted therapies represents a major clinical challenge, and treatment failures of MAPK-targeted therapies due to acquired resistance often require salvage immunotherapies. We show that genomic analysis of acquired resistance to MAPK inhibitors revealed key driver genes but failedto adequately account for clinical resistance. From a large-scale comparative analysis of temporal transcriptomes from patient-matched tumor biopsies, we discovered highly recurrent differential expression and signature outputs of c-MET, LEF1 and YAP1 as drivers of acquired MAPK inhibitor resistance. Moreover, integration of gene- and signature-based transcriptomic analysis revealed profound CD8 T cell deficiency detected in half of resistant melanomas in association with downregulation of dendritic cells and antigen presentation. We also propose a major methylomic basis to transcriptomic evolution under MAPK inhibitor selection. Thus, this database provides a rich informational resource, and the current landscape represents a benchmark to understanding melanoma therapeutic resistance. Overall design: Melanoma biopsies pre and post MAPKi treatment were sent for RNAseq analysis

Publication Title

Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65184
Expression changes in pre MAPKi treatment and post MAPKi resistance Melanomas
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Melanoma resistance to MAPK- or T cell checkpoint-targeted therapies represents a major clinical challenge, and treatment failures of MAPK-targeted therapies due to acquired resistance often require salvage immunotherapies. We show that genomic analysis of acquired resistance to MAPK inhibitors revealed key driver genes but failedto adequately account for clinical resistance. From a large-scale comparative analysis of temporal transcriptomes from patient-matched tumor biopsies, we discovered highly recurrent differential expression and signature outputs of c-MET, LEF1 and YAP1 as drivers of acquired MAPK inhibitor resistance. Moreover, integration of gene- and signature-based transcriptomic analysis revealed profound CD8 T cell deficiency detected in half of resistant melanomas in association with downregulation of dendritic cells and antigen presentation. We also propose a major methylomic basis to transcriptomic evolution under MAPK inhibitor selection. Thus, this database provides a rich informational resource, and the current landscape represents a benchmark to understanding melanoma therapeutic resistance.

Publication Title

Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE24862
Expression data from melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Differential gene expression analysis of parental and resistant sub-lines of melanoma cell lines treated or untreated with PLX4032

Publication Title

Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE75313
Expression changes in Melanomas pre MAPKi treatment vs. on MAPKi treatment
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Recurrent Tumor Cell-Intrinsic and -Extrinsic Alterations during MAPKi-Induced Melanoma Regression and Early Adaptation.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP066571
Expression changes in Melanomas pre MAPKi treatment vs. on MAPKi treatment (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Treatment of advanced V600BRAF mutant melanoma using a BRAF inhibitor (BRAFi) or its combination with a MEKi typically elicits partial responses. We compared the transcriptomes of patient-derived tumors regressing on MAPKi therapy against MAPKi-induced temporal transcriptomic states in human melanoma cell lines or murine melanoma in immune-competent mice. Despite heterogeneous dynamics of clinical tumor regression, residual tumors displayed highly recurrent transcriptomic alterations and enriched processes, which were also observed in MAPKi-selected cell lines (implying tumor cell-intrinsic reprogramming) or in bulk mouse tumors (and the CD45-negative or -positive fractions,, implying tumor cell-intrinsic or stromal/immune alterations, respectively). Tumor cell-intrinsic reprogramming attenuated MAPK-dependency, while enhancing mesenchymal, angiogenic and IFN-inflammatory features and growth/survival dependence on multi-RTKs and PD-L2. In the immune compartment, PD-L2 upregulation in CD11c+ immunocytes drove the loss of T-cell inflammation and promoted BRAFi resistance. Thus, residual melanoma early on MAPKi therapy already displays potentially exploitable adaptive transcriptomic, epigenomic, immune-regulomic alterations. Overall design: Paired melanoma biopsies/cell lines before treatment, during treatment and after resistance to MAPKi were sent for transcriptomic analysis by paired end 2x100bp HiSeq 2000 RNAseq analysis

Publication Title

Recurrent Tumor Cell-Intrinsic and -Extrinsic Alterations during MAPKi-Induced Melanoma Regression and Early Adaptation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070710
mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

PD-1 immune checkpoint blockade provides significant clinical benefits for cancer patients. However, factors influencing innate sensitivity remain incompletely catalogued. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies. Mutations in cell adhesion genes and the DNA repair gene BRCA2 were enriched in responding tumors, and a high mutational load associated with improved survival. Innately resistant tumors displayed frequent transcriptomic up-expression of genes that enriched for mesenchymal transition, cell adhesion, ECM organization, wound-healing and angiogenesis. The transcriptomes of innate resistance also enriched for signatures indicating up-regulation of these processes. Notably, MAPK-targeted therapy (MAPKi) induced similar signatures in melanoma, suggesting that a form of MAPKi resistance mediates cross-resistance to anti-PD-1 therapy. Co-enrichment of IPRIM (Innate anti-PD-1 Resistance Induced by MAPKi) signatures defined a transcriptomic subset across advanced cancers, suggesting that attenuating processes underlying these signatures may augment anti-PD1 responses. Thus, multi-factorial determinants influence anti-PD-1 patterns in melanoma. Overall design: Melanoma biopsies pre-anti-PD-1 therapy were sent for transcriptomic analysis by paired-end RNAseq analysis to find the correlates of response vs. non-response to the therapy

Publication Title

Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE75311
Expression changes in Melanomas pre MAPKi treatment vs. on MAPKi treatment (Affymetrix)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Treatment of advanced V600BRAF mutant melanoma using a BRAF inhibitor (BRAFi) or its combination with a MEKi typically elicits partial responses. We compared the transcriptomes of patient-derived tumors regressing on MAPKi therapy against MAPKi-induced temporal transcriptomic states in human melanoma cell lines or murine melanoma in immune-competent mice. Despite heterogeneous dynamics of clinical tumor regression, residual tumors displayed highly recurrent transcriptomic alterations and enriched processes, which were also observed in MAPKi-selected cell lines (implying tumor cell-intrinsic reprogramming) or in bulk mouse tumors (and the CD45-negative or -positive fractions,, implying tumor cell-intrinsic or stromal/immune alterations, respectively). Tumor cell-intrinsic reprogramming attenuated MAPK-dependency, while enhancing mesenchymal, angiogenic and IFN-inflammatory features and growth/survival dependence on multi-RTKs and PD-L2. In the immune compartment, PD-L2 upregulation in CD11c+ immunocytes drove the loss of T-cell inflammation and promoted BRAFi resistance. Thus, residual melanoma early on MAPKi therapy already displays potentially exploitable adaptive transcriptomic, epigenomic, immune-regulomic alterations.

Publication Title

Recurrent Tumor Cell-Intrinsic and -Extrinsic Alterations during MAPKi-Induced Melanoma Regression and Early Adaptation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE30812
Gene expression data from human metastatic melanoma tumors that may predict response to RAF265
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To determine how mutation of BRAF affected the response to RAF265, we utilized a tumor orthotopic implant model of early passage melanoma tumors in nude mice from a series of 17 patients with advanced metastatic Tumor growth was compared between RAF265 treatment (40 mg/kg, QD) and diluent control groups. The melanoma associated gene mutation profile and global gene expression profile were determined on these human melanoma samples by SNaPshot and Affymetrix Human Gene ST 1.0 Array, respectively. Tumors were evaluated for growth response to RAF265 in an orthotopic implant model using nude mice. Comparisons were made between gene expression profiles of responders and non-responders, BRAF mutant and BRAF wild type tumors. Analysis of the microarray data revealed responders exhibited enriched expression of genes involved in cell cycle, apoptosis, cell-cell adhesion and initiation of epithelial/mesenchymal transition. It is concluded that RAF265 significantly inhibits the growth of a sub-population of V600E mutant and wild type BRAF human melanoma tumors in vivo and the gene expression profile of this subset of tumors that may predict response to RAF265.

Publication Title

RAF265 inhibits the growth of advanced human melanoma tumors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE12518
Differential expression profile between MNV-1 infected and mock-infected RAW 264.7 cells.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Noroviruses have been widely recognized for their importance as causative agents of non-bacterial gastroenteritis. Mouse norovirus is the only representative of the norovirus genus, family Caliciviridae, able to grow in cell culture. The aim of this study is to describe the differences in the expression profiles of MNV-1 and mock-infected macrophages (RAW 264.7 cells), in order to better understand the response of the host cell to norovirus infection.

Publication Title

Apoptosis in murine norovirus-infected RAW264.7 cells is associated with downregulation of survivin.

Sample Metadata Fields

No sample metadata fields

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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