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Series GSE201913 Query DataSets for GSE201913
Status Public on Jun 17, 2022
Title Gene expression profiling of melanoma cell lines with acquired resistance to the BRAF inhibitor PLX4032 and the parental sensitive counterparts and of melanoma cell lines intrinsically resistant.
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Targeted therapy with small molecules inhibiting BRAF and MEK kinase represents a therapeutic option in advanced metastatic melanoma although drug resistance limits the achievement of persistent cures. The genomic analyses of tumors from patients developing treatment resistance indicate that drug tolerance may result from non-mutational events occurring in the tumor microenvironment. To identify tumor specific transcriptional changes related to resistance to the BRAF-inhibitor PLX4032, cell lines with acquired resistance to PLX4032 were generated from six sensitive melanoma lines by chronic in vitro drug exposure (Vergani E, Oncotarget 2016) and analyzed for gene expression profiles; in addition a set of cell lines with intrinsic resistance was included for comparison. Cell lines were obtained from metastatic surgical specimens and were previously genetically characterized (Daniotti M, Oncogene 2004; Vergani E, JID 2022, accepted).
 
Overall design Gene expression profiling of six pairs of Resistant (Ra)/Sensitive (S) melanoma cell lines, and of a set of cell lines with intrinsic resistance (Ri) was performed by Clariom S platform.
 
Contributor(s) De Cecco L, Vergani E
Citation(s) 35912092
Submission date Apr 29, 2022
Last update date Aug 03, 2022
Contact name Loris De Cecco
E-mail(s) loris.dececco@istitutotumori.mi.it
Organization name IRCSS Istituto Nazionale Tumori
Street address via Venezian 1
City Milan
ZIP/Postal code 20133
Country Italy
 
Platforms (1)
GPL23159 [Clariom_S_Human] Affymetrix Clariom S Assay, Human (Includes Pico Assay)
Samples (21)
GSM6080952 LM16
GSM6080953 LM16R
GSM6080954 LM36
Relations
BioProject PRJNA833454

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE201913_RAW.tar 22.7 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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