• Title of article

    Analysis of paired primary lung and lymph node tumor cells: A model of metastatic potential by multiple genetic programs

  • Author/Authors

    Hoang، نويسنده , , Chuong D. and Guillaume، نويسنده , , Tenner J. and Engel، نويسنده , , Sean C. and Tawfic، نويسنده , , Sherif H. and Kratzke، نويسنده , , Robert A. and Maddaus، نويسنده , , Michael A.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    9
  • From page
    509
  • To page
    517
  • Abstract
    Background: The current paradigm of metastasis proposes that rare cells within primary tumors acquire metastatic capability via sequential mutations, suggesting that metastases are genetically dissimilar from their primary tumors. We tested this hypothesis by examining the molecular differences, if any, between primary tumor cells and matched lymph node metastatic cells in human non-small-cell lung carcinoma specimens. Methods: We performed transcriptional profiling studies on malignant cells from 11 pairs of stage III tumors and their tumor-positive lymph nodes using multiple, complementary analytic techniques. To confirm the overall validity of microarray data, we used real-time polymerase chain reaction. Results: The molecular signature of nodal metastasis was a composite of two paradoxical, but not mutually exclusive, expression patterns: metastatic cells are: (1) different from their primary tumor cells based on a few genes and (2) genetically similar, overall, to their primary tumor cells. Consequently, we found a 27-gene subset sufficient to differentiate nodal metastatic cells from primary tumor cells. Conclusions: Thus, we concluded that a more accurate model of metastatic potential is based on a global primary tumor expression pattern along with the appearance of distinct metastatic variants. The 27-gene signature differentiating primary tumors from their metastatic cells may define non-small-cell lung carcinoma nodal metastatic potential.
  • Keywords
    Microarray , Non-small-cell lung carcinoma , expression profiling , metastasis , Laser capture microdissection , Hierarchical clustering , Real-time quantitative RT-PCR , RNA isolation , NSCLC , Metastatic potential , Lymph node metastatic cells , Multiple gene expressio , model
  • Journal title
    Cancer Detection and Prevention
  • Serial Year
    2005
  • Journal title
    Cancer Detection and Prevention
  • Record number

    1834604