Clinical and economic aspects of KRAS mutational status as predictor for epidermal growth factor receptor inhibitor therapy in metastatic colorectal cancer patients

Robert Königsberg, Wolfgang Hulla, Martin Klimpfinger, Angelika Reiner-Concin, Tanja Steininger, Wilfried Büchler, Robert Terkola, Christian Dittrich

Research output: Contribution to journalOriginal Article

Abstract

Treatment of metastasized colorectal cancer (mCRC) patients with anti-epidermal growth factor receptor (EGFR)-directed monoclonal antibodies is driven by the results of the KRAS mutational status (wild type [WT]/mutated [MUT]). To find out as to what extent the treatment selection based on the KRAS status had impact on overall costs, a retrospective analysis was performed. Of 73 mCRC patients 31.5% were MUT carriers. Costs of EGFR inhibitor treatment for WT patients were significantly higher compared to those for patients with MUT (p = 0.005). Higher treatment costs in WT carriers reflect a significantly higher number of treatment cycles (p = 0.012) in this cohort of patients. Savings of drug costs minus the costs for the determination of KRAS status accounted for EUR 779.42 (SD ±336.28) per patient per cycle. The routine use of KRAS screening is a cost-effective strategy. Costs of unnecessary monoclonal EGFR inhibitor treatment can be saved in MUT patients.

Original languageEnglish
Pages (from-to)359-64
Number of pages6
JournalONCOLOGY
Volume81
Issue number5-6
DOIs
Publication statusPublished - 2011

Keywords

  • Aged
  • Aged, 80 and over
  • Antibodies, Monoclonal/economics
  • Cohort Studies
  • Colorectal Neoplasms/drug therapy
  • Cost-Benefit Analysis/methods
  • Early Detection of Cancer/economics
  • ErbB Receptors/antagonists & inhibitors
  • Female
  • Genes, ras
  • Humans
  • Male
  • Middle Aged
  • Mutation
  • Neoplasm Metastasis
  • Predictive Value of Tests
  • Protein Kinase Inhibitors/economics
  • Proto-Oncogene Proteins/economics
  • Proto-Oncogene Proteins p21(ras)
  • Retrospective Studies
  • ras Proteins/economics

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