Transcriptomics

Dataset Information

238

Transcription profiling by array on 123 paired tumor and non-tumor tissue samples from patients with non-small cell lung carcinoma to gain a systems biology insight into the current clinical classification


ABSTRACT: Non-small cell lung cancer (NSCLC), a leading cause of cancer deaths, represents a heterogeneous group of neoplasms, mostly comprising squamous cell carcinoma (SCC), adenocarcinoma (AC) and large-cell carcinoma (LCC). The aim of this study was to gain a systems biology insight into the current clinical classification. Patients and Methods: Comparative genomic hybridization followed by mutational analysis, gene expression and miRNA microarray profiling were performed on 123 paired tumor and non-tumor tissue samples from patients with NSCLC. Using integrated systems biology approaches, we sought to find out if combining data types from different levels of biology would improve clinical assessment of NSCLC. Results: At both DNA, RNA and miRNA levels we could identify molecular markers that discriminated significantly between the various clinicopathological entities of NSCLC. Conclusions: We report proofs of distinct molecular profiles that contribute to distinguishing NSCLC tumor subtypes even in small biopsies. The Gene expression experiments have been made in dual color and dye_swap with Agilent human Human Genome Exon 244K arrays (custom design 14891, from commercial 4x44K (design 014850 plus 195000 oligo - 1 per exon- defined with RefSeq hg18 and 1840 probes from viral transcripts). Note date of surgery is the date of the sample was frozen.

ORGANISM(S): Homo sapiens  

DISEASE(S): Normal,Non-small Cell Lung Carcinoma

SUBMITTER: Philippe DESSEN  

PROVIDER: E-MTAB-1132 | ArrayExpress | 2013-12-11

REPOSITORIES: ArrayExpress

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Publications

A simplified interventional mapping system (SIMS) for the selection of combinations of targeted treatments in non-small cell lung cancer.

Lazar Vladimir V   Rubin Eitan E   Depil Stephane S   Pawitan Yudi Y   Martini Jean-François JF   Gomez-Navarro Jesus J   Yver Antoine A   Kan Zhengyin Z   Dry Jonathan R JR   Kehren Jeanne J   Validire Pierre P   Rodon Jordi J   Vielh Philippe P   Ducreux Michel M   Galbraith Susan S   Lehnert Manfred M   Onn Amir A   Berger Raanan R   Pierotti Marco A MA   Porgador Angel A   Pramesh C S CS   Ye Ding-wei DW   Carvalho Andre L AL   Batist Gerald G   Le Chevalier Thierry T   Morice Philippe P   Besse Benjamin B   Vassal Gilles G   Mortlock Andrew A   Hansson Johan J   Berindan-Neagoe Ioana I   Dann Robert R   Haspel Joel J   Irimie Alexandru A   Laderman Steve S   Nechushtan Hovav H   Al Omari Amal S AS   Haywood Trent T   Bresson Catherine C   Soo Khee Chee KC   Osman Iman I   Mata Hilario H   Lee Jack J JJ   Jhaveri Komal K   Meurice Guillaume G   Palmer Gary G   Lacroix Ludovic L   Koscielny Serge S   Eterovic Karina Agda KA   Blay Jean-Yves JY   Buller Richard R   Eggermont Alexander A   Schilsky Richard L RL   Mendelsohn John J   Soria Jean-Charles JC   Rothenberg Mace M   Scoazec Jean-Yves JY   Hong Waun Ki WK   Kurzrock Razelle R  

Oncotarget 20150601 16


Non-small cell lung cancer (NSCLC) is a leading cause of death worldwide. Targeted monotherapies produce high regression rates, albeit for limited patient subgroups, who inevitably succumb. We present a novel strategy for identifying customized combinations of triplets of targeted agents, utilizing a simplified interventional mapping system (SIMS) that merges knowledge about existent drugs and their impact on the hallmarks of cancer. Based on interrogation of matched lung tumor and normal tissue  ...[more]

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