Features of tumor-microenvironment images predict targeted therapy survival benefit in patients with EGFR-mutant lung cancer Journal Article


Authors: Wang, S.; Rong, R.; Yang, D. M.; Fujimoto, J.; Bishop, J. A.; Yan, S.; Cai, L.; Behrens, C.; Berry, L. D.; Wilhelm, C.; Aisner, D.; Sholl, L.; Johnson, B. E.; Kwiatkowski, D. J.; Wistuba, I. I.; Bunn, P. A. Jr; Minna, J.; Xiao, G.; Kris, M. G.; Xie, Y.
Article Title: Features of tumor-microenvironment images predict targeted therapy survival benefit in patients with EGFR-mutant lung cancer
Abstract: Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effective for many patients with lung cancer with EGFR mutations. However, not all patients are responsive to EGFR TKIs, including even those harboring EGFRsensitizing mutations. In this study, we quantified the cells and cellular interaction features of the tumor microenvironment (TME) using routine H&E-stained biopsy sections. These TME features were used to develop a prediction model for survival benefit from EGFR TKI therapy in patients with lung adenocarcinoma and EGFR-sensitizing mutations in the Lung Cancer Mutation Consortium 1 (LCMC1) and validated in an independent LCMC2 cohort. In the validation data set, EGFR TKI treatment prolonged survival in the predicted-to-benefit group but not in the predicted-not-to-benefit group. Among patients treated with EGFR TKIs, the predicted-to-benefit group had prolonged survival outcomes compared with the predicted not-to-benefit group. The EGFR TKI survival benefit positively correlated with tumor-tumor interaction image features and negatively correlated with tumor-stroma interaction. Moreover, the tumor-stroma interaction was associated with higher activation of the hepatocyte growth factor/MET-mediated PI3K/AKT signaling pathway and epithelial-mesenchymal transition process, supporting the hypothesis of fibroblast-involved resistance to EGFR TKI treatment. © 2023, Wang et al.
Keywords: genetics; mutation; metabolism; protein kinase inhibitor; lung neoplasms; epidermal growth factor receptor; drug resistance; drug resistance, neoplasm; phosphatidylinositol 3 kinase; protein kinase inhibitors; lung tumor; egfr protein, human; tumor microenvironment; phosphatidylinositol 3-kinases; erbb receptors; humans; human
Journal Title: Journal of Clinical Investigation
Volume: 133
Issue: 2
ISSN: 0021-9738
Publisher: American Society for Clinical Investigation  
Date Published: 2023-01-17
Start Page: e160330
Language: English
DOI: 10.1172/jci160330
PUBMED: 36647832
PROVIDER: scopus
PMCID: PMC9843059
DOI/URL:
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding author is Mark Kris -- Export Date: 1 February 2023 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Mark Kris
    869 Kris
  2. Clare Jon Wilhelm
    25 Wilhelm