Unknown,Transcriptomics,Genomics,Proteomics

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Characterization of the genetic mouse model of non-small cells lung cancer p53R172HM-bM-^HM-^Fg/KrasG12D

ABSTRACT: Background: Non-small cell lung cancer (NSCLC) accounts for 81% of all cases of lung cancer and they are often fatal because 60% of the patients are diagnosed at an advanced stage. Besides the need for earlier diagnosis, there is a great need for additional effective therapies. In this work we investigated the feasibility of a lung cancer progression mouse model, mimicking features of human aggressive NSCLC cancer, as biological reservoir for potential therapeutic targets and biomarkers. Results:RNA-seq profiling was performed on total RNA extracted from lungs of 30 week-old p53R172HM-bM-^HM-^Fg/KrasG12D and wild type mice to detect fusion genes and gene/exon-level differential expression associated to the increase of tumor mass. Fusion events were not detected in p53R172HM-bM-^HM-^Fg/KrasG12D tumors. Differential expression at exon-level detected 33 genes with differential exon usage. The study provides a complete transcription overview of the p53R172HM-bM-^HM-^Fg/KrasG12D mouse NSCLC model Lung mRNA profiles of 30-week old wild type (WT) and p53R172HM-bM-^HM-^Fg/KrasG12D mice were generated by deep sequencing, in duplicate using Illumina HiSeq2000.

ORGANISM(S): Mus musculus

SUBMITTER: Raffaele Calogero

PROVIDER: E-GEOD-51144 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background: There is a paucity of non-invasive markers for early detection of brain metastasis (BM) in patients with non-small cell lung cancer (NSCLC). Secretory proteomic approach based on quantitative tandem mass tag is believed to offer bright prospects for screening potential serum biomarkers for diseases. Methods: We used the secretory proteomics to identify up-regulated proteins in the highly brain metastatic cell line compared to the parental lung cancer cell line. Enzyme linked immunoassay and immunohistochemistry were performed on non-small cell lung cancer patients with brain metastasis and control samples from each cohort to verify the expression levels of candidate proteins. A logistic regression model was used to develop a biomarker panel composed of Cathepsin F (CTSF) and Fibulin-1 (FBLN1), and then an independent validation data set was used for verification. The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curve analysis. Changes in serum CTSF levels of patients were tracked to monitor the effect of treatment, and progression-free survival (PFS) and overall survival (OS) were analyzed to assess their prognostic relevance. Results: CTSF and FBLN1 levels were specifically upregulated in sera and tissues of patients with NSCLC BM. Importantly, the combined diagnostic performance of CTSF and FBLN1 was superior to their individual diagnostic performance (sensitivity and specificity). CTSF serum changes were found to reflect the therapeutic response of patients with NSCLC BM and the trends of resistance and progression were detected earlier than the MRI changes. Elevated expression of CTSF in NSCLC BM tissues was associated with poor PFS. Moreover, CTSF tissue expression was found to be an independent prognostic factor. Conclusions: CTSF and FBLN1 are potential novel and specific serum markers for early diagnosis of BM in patients with NSCLC. CTSF can also be used as a biomarker for monitoring therapeutic efficacy and prognostic assessment.

Dataset Information

Characterization of the genetic mouse model of non-small cells lung cancer p53R172HM-bM-^HM-^Fg/KrasG12D

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