Frontiers in Oncology (Jan 2024)

Characterizing the secretome of EGFR mutant lung adenocarcinoma

  • Jennifer K. Luu,
  • Jennifer K. Luu,
  • Fraser D. Johnson,
  • Fraser D. Johnson,
  • Jana Jajarmi,
  • Jana Jajarmi,
  • Tianna Sihota,
  • Tianna Sihota,
  • Rocky Shi,
  • Rocky Shi,
  • Daniel Lu,
  • Daniel Lu,
  • Dylan Farnsworth,
  • Dylan Farnsworth,
  • Sandra E. Spencer,
  • Gian Luca Negri,
  • Gregg B. Morin,
  • Gregg B. Morin,
  • William W. Lockwood,
  • William W. Lockwood,
  • William W. Lockwood

DOI
https://doi.org/10.3389/fonc.2023.1286821
Journal volume & issue
Vol. 13

Abstract

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BackgroundLung cancer is the leading cause of cancer related death worldwide, mainly due to the late stage of disease at the time of diagnosis. Non-invasive biomarkers are needed to supplement existing screening methods to enable earlier detection and increased patient survival. This is critical to EGFR-driven lung adenocarcinoma as it commonly occurs in individuals who have never smoked and do not qualify for current screening protocols.MethodsIn this study, we performed mass spectrometry analysis of the secretome of cultured lung cells representing different stages of mutant EGFR driven transformation, from normal to fully malignant. Identified secreted proteins specific to the malignant state were validated using orthogonal methods and their clinical activity assessed in lung adenocarcinoma patient cohorts.ResultsWe quantified 1020 secreted proteins, which were compared for differential expression between stages of transformation. We validated differentially expressed proteins at the transcriptional level in clinical tumor specimens, association with patient survival, and absolute concentration to yield three biomarker candidates: MDK, GDF15, and SPINT2. These candidates were validated using ELISA and increased levels were associated with poor patient survival specifically in EGFR mutant lung adenocarcinoma patients.ConclusionsOur study provides insight into changes in secreted proteins during EGFR driven lung adenocarcinoma transformation that may play a role in the processes that promote tumor progression. The specific candidates identified can harnessed for biomarker use to identify high risk individuals for early detection screening programs and disease management for this molecular subgroup of lung adenocarcinoma patients.

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