Budget impact analysis of comprehensive genomic profiling in patients with advanced non-small cell lung cancer

James Signorovitch1, Zhou Zhou1, Jason Ryan2

  • 1a Analysis Group, Inc. , Boston , MA , USA.

Abstract

Insights

Comprehensive genomic profiling (CGP) for advanced non-small cell lung cancer (NSCLC) shows a modest budget impact. Increased CGP use leads to better treatments and longer survival, with 12 patients needing testing to gain one life year.

Area of Science:

  • Oncology
  • Genomics
  • Health Economics

Background:

  • Advanced non-small cell lung cancer (NSCLC) management benefits from molecular profiling to match patients with targeted therapies.
  • Comprehensive genomic profiling (CGP) offers broader genetic insights than conventional testing or smaller panels.
  • CGP analyzes hundreds of cancer genes from a single tissue sample.

Purpose of the Study:

  • To estimate the budget impact of increased CGP use in advanced NSCLC.
  • To compare CGP with conventional molecular diagnostic testing and smaller NGS panels.
  • To determine the number of patients needed to test with CGP to gain one life year.

Main Methods:

  • A decision analytic model was developed from a US private payer perspective.
  • Model inputs included published literature, real-world data, and list prices for CGP and anti-cancer drugs.
  • Assumptions were made for clinical trial participation and to account for limited evidence.

Main Results:

  • An increase in CGP utilization from 2% to 10% among advanced NSCLC patients was associated with a $0.02 per member per month budget impact.
  • The majority of the budget impact ($0.013) was due to prolonged drug treatment and survival.
  • Approximately 12 patients needed CGP testing to gain one life year.

Conclusions:

  • Increased CGP utilization in advanced NSCLC is linked to a modest budget impact.
  • The primary drivers of the budget impact are enhanced treatment efficacy and extended patient survival.
  • CGP facilitates genomic matching for optimized treatment strategies in NSCLC.

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