KEAP1 and TP53 Frame Genomic, Evolutionary, and Immunologic Subtypes of Lung Adenocarcinoma With Different

Stefano Scalera1, Marco Mazzotta2, Giacomo Corleone1

  • 1SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Regina Elena National Cancer Institute, Rome, Italy.

Abstract

Insights

Investigating KEAP1/TP53 mutations in lung adenocarcinoma reveals distinct subtypes with varying survival outcomes. KEAP1 single-mutant tumors show the shortest survival, while double wild-type offers the longest, guiding immunotherapy strategies.

Area of Science:

  • Oncology
  • Genomics
  • Immunotherapy

Background:

  • Driver mutations significantly influence immune checkpoint inhibitor (ICI) efficacy in lung adenocarcinoma (LUAD).
  • KEAP1 and STK11 alterations are linked to immunoresistance in LUAD.
  • Tumor heterogeneity suggests unappreciated factors impact immunotherapy response.

Purpose of the Study:

  • To investigate the molecular and clinical impact of KEAP1/TP53 alterations in LUAD.
  • To define novel LUAD subtypes based on KEAP1 and TP53 mutational status.
  • To assess the prognostic value of these subtypes in ICI-treated patients.

Main Methods:

  • Somatic interaction analysis of LUAD mutations using AACR Project GENIE data (N=6208).
  • Integration of multiple datasets (AACR GENIE, TCGA, TRACERx) for mutational processes, heterogeneity, evolution, and immune features.
  • Prognostic evaluation in independent tissue-based (N=343) and blood-based (N=304) ICI-treated LUAD cohorts.

Main Results:

  • KEAP1/TP53-based subtypes were identified, sharing AKR gene overexpression but differing in mutational repertoire, heterogeneity, and immune microenvironment.
  • KEAP1 single-mutant (KEAP1 SM) LUAD exhibited the shortest survival.
  • KEAP1/TP53 double-mutant (KEAP1/TP53 DM) LUAD showed intermediate survival, similar to TP53-mutant LUAD, while double wild-type had the longest survival.

Conclusions:

  • Genomic subtyping of LUAD based on KEAP1/TP53 interactions provides a framework for immunotherapy.
  • Multimodal data integration is crucial for developing clinically actionable cancer taxonomies.
  • Distinct LUAD subtypes have differential prognoses in response to ICI therapy.