Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression profiles of spontaneous metastasis in a K-ras/p53 mutant mouse model

ABSTRACT: The biologic basis for NSCLC metastasis is not well understood. Here we addressed this deficiency by transcriptionally profiling tumors from a genetic mouse model of human lung adenocarcinoma that develops metastatic disease owing to the expression of K-rasG12D and p53R172H. We identified 2,209 genes that were differentially expressed in distant metastases relative to matched lung tumors. Mining of publicly available data bases revealed this expression signature in a subset of NSCLC patients who had a poorer prognosis than those without the signature. Primary lung adenocarcinomas and metastases from p53R172H∆g/+ K-rasLA1/+ mice or syngeneic tumors were isolated, carefully dissected to remove the adjacent tissue, snap-frozen in liquid nitrogen and stored at -80° until use. Part of each dissected tumor was histologically evaluated by a board-certified pathologist. Synthesis of cRNA and hybridization to Mouse Expression Array 430A 2.0 chips were performed. Two-sided t-paired tests using log-transformed expression values determined significant differences between primary tumors and metastasis.

ORGANISM(S): Mus musculus

SUBMITTER: Chad Creighton

PROVIDER: E-GEOD-14449 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Expression signatures of metastatic capacity in a genetic mouse model of lung adenocarcinoma.

Gibbons Don L DL Lin Wei W Creighton Chad J CJ Zheng Shuling S Berel Dror D Yang Yanan Y Raso Maria Gabriela MG Liu Diane D DD Wistuba Ignacio I II Lozano Guillermina G Kurie Jonathan M JM

PloS one 20090430 4

<h4>Background</h4>Non-small cell lung cancer (NSCLC) is the foremost cause of cancer-related death in Western countries, which is due partly to the propensity of NSCLC cells to metastasize. The biologic basis for NSCLC metastasis is not well understood.<h4>Methodology/principal findings</h4>Here we addressed this deficiency by transcriptionally profiling tumors from a genetic mouse model of human lung adenocarcinoma that develops metastatic disease owing to the expression of K-ras(G12D) and p53 ...[more]

PMID: 19404390

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Project description:Metastatic disease is a primary cause of cancer-related death, and factors governing tumor cell metastasis have not been fully elucidated. Here we addressed this question by using tumor cell lines derived from mice that develop metastatic lung adenocarcinoma owing to expression of mutant K-ras and p53. A feature of metastasis-prone tumor cells that distinguished them from metastasis-incompetent tumor cells was plasticity in response to changes in their microenvironment. They transited reversibly between epithelial and mesenchymal states, forming highly polarized epithelial spheres in 3-dimensional culture that underwent epithelial-mesenchymal transition (EMT) following treatment with transforming growth factor-beta or injection into syngeneic mice. This plasticity was entirely dependent upon the microRNA-200 family, which decreased during EMT. Forced expression of miR-200 abrogated the capacity of these tumor cells to undergo EMT, invade, and metastasize and conferred transcriptional features of metastasis-incompetent tumor cells. We conclude that microenvironmental cues direct tumor metastasis by regulating miR-200 expression. Experiment Overall Design: Cell lines from p53R172Hâ??g/+ K-rasLA1/+ mice were derived from tumor tissues removed at autopsy from two different mice (#344 and #393). The tissues were minced, placed in culture, and passed serially in RPMI 1640 supplemented with 10% fetal bovine serum (FBS), which yielded mass populations of tumor cells derived from primary lung tumors (344P and 393P), mediastinal lymph nodes (344LN and 393LN), and a subcutaneous site (344SQ). Stable 344SQ cell lines expressing the miR-200b-200a-429 cluster or control vector were generated by transduction with lentivirus vectors. GFP positive transfectant pools were selected by growth in RPMI 1640 with 10% FBS and puromycin. RNA samples of miR-200b-200a-429 knockup versus control (from triplicate cultures of each) were processed and analyzed on Affymetrix Mouse Expression Array 430A 2.0 chips.

Dataset Information

Gene expression profiles of spontaneous metastasis in a K-ras/p53 mutant mouse model

Publications

Expression signatures of metastatic capacity in a genetic mouse model of lung adenocarcinoma.

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