Comparison of the Side Populations in Pretreatment and Postrelapse Neuroblastoma Cell Lines

Abstract

Cancer stem-like cells have been identified in both primary tumors and in cell lines and seem to have a high degree of inherent resistance to traditional chemotherapeutic agents. Relapsed cancers including neuroblastoma are generally chemotherapy-resistant and carry a very poor prognosis. We investigated the side populations of three pairs of neuroblastoma cell lines derived from single patients at the time of their initial presentation and then at relapse after multimodality therapy. We found that the size of the side populations in the relapsed cell lines was significantly increased compared with its paired pretreatment cell line. In addition, these side population cells showed increased proliferation and were significantly more efficient at forming colonies in soft agar than their prerelapse pair. Gene expression analysis of the stem cell genes NANOG and POU5F1 (Oct3/4) showed increased expression in the unsorted relapsed cell lines compared with pretreatment lines as well as in the side populations of the relapsed versus prerelapse cell line pairs. The increased size, proliferative ability, and colony-forming efficiency of the side populations of the postrelapse cell lines demonstrated in this study suggest that a population of stemlike cells is not being efficiently targeted by conventional therapy and implies that strategies to specifically target the stem cell fraction of neuroblastomas are needed to improve outcomes in this devastating childhood disease.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2010
Accession Number
ADA529179

Entities

People

  • Karen Wolcott
  • Stephen S. Roberts
  • Thomas C. Newton

Organizations

  • Uniformed Services University of the Health Sciences

Tags

DTIC Thesaurus Topics

  • Bone Marrow
  • Cancer
  • Cell Line
  • Cells
  • Colon Cancer
  • Gene Expression
  • Health Services
  • Neoplasms
  • Neuroblastoma
  • Oncology
  • Polymerase Chain Reaction
  • Statistical Analysis
  • Stem Cells
  • Therapy

Fields of Study

  • Biology
  • Medicine

Readers

  • Oncology
  • Oncology (Cancer Research).
  • Regression Analysis.

Technology Areas

  • Biotechnology