Genetic and immunologic features of recurrent stage I lung adenocarcinoma

Sci Rep. 2021 Dec 8;11(1):23690. doi: 10.1038/s41598-021-02946-0.

Abstract

Although surgery for early-stage lung cancer offers the best chance of cure, recurrence still occurs between 30 and 50% of the time. Why patients frequently recur after complete resection of early-stage lung cancer remains unclear. Using a large cohort of stage I lung adenocarcinoma patients, distinct genetic, genomic, epigenetic, and immunologic profiles of recurrent tumors were analyzed using a novel recurrence classifier. To characterize the tumor immune microenvironment of recurrent stage I tumors, unique tumor-infiltrating immune population markers were identified using single cell RNA-seq on a separate cohort of patients undergoing stage I lung adenocarcinoma resection and applied to a large study cohort using digital cytometry. Recurrent stage I lung adenocarcinomas demonstrated higher mutation and lower methylation burden than non-recurrent tumors, as well as widespread activation of known cancer and cell cycle pathways. Simultaneously, recurrent tumors displayed downregulation of immune response pathways including antigen presentation and Th1/Th2 activation. Recurrent tumors were depleted in adaptive immune populations, and depletion of adaptive immune populations and low cytolytic activity were prognostic of stage I recurrence. Genomic instability and impaired adaptive immune responses are key features of stage I lung adenocarcinoma immunosurveillance escape and recurrence after surgery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma of Lung / diagnosis
  • Adenocarcinoma of Lung / genetics*
  • Adenocarcinoma of Lung / immunology*
  • Biomarkers, Tumor*
  • Computational Biology / methods
  • Disease Susceptibility
  • Epigenesis, Genetic
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Genetic Variation
  • Humans
  • Male
  • Mutation
  • Neoplasm Recurrence, Local
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Tumor Microenvironment / genetics

Substances

  • Biomarkers, Tumor