4.7 Article

A genetically defined signature of responsiveness to erlotinib in early-stage pancreatic cancer patients: Results from the CONKO-005 trial

Journal

EBIOMEDICINE
Volume 66, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ebiom.2021.103327

Keywords

Pancreatic cancer; Precision medicine; Erlotinib; SMAD4; MAPK9

Funding

  1. Else KronerFresenius Foundation
  2. Wegener Foundation
  3. German Cancer Aid

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The study identified five biologically distinct patient clusters in PDAC, revealing an association between SMAD4 alteration status and the effectiveness of erlotinib. These findings may guide treatment choices for early-stage PDAC patients.
Background: high recurrence rates of up to 75% within 2 years in pancreatic ductal adenocarcinoma (PDAC) patients resected for cure indicate a high medical need for clinical prediction tools and patient specific treat-ment approaches. Addition of the EGFR inhibitor erlotinib to adjuvant chemotherapy failed to improve out-come but its efficacy in some patients warrants predictors of responsiveness. Patients and Methods: we analysed tumour samples from 293 R0-resected patients from the randomized, multicentre phase III CONKO-005 trial (gemcitabine +/- erlotinib) with targeted sequencing, copy number, and RNA expression analyses. Findings: a total of 1086 mutations and 4157 copy-number aberrations (CNAs) with a mean of 17.9 /tumour were identified. Main pathways affected by genetic aberrations were the MAPK-pathway (99%), cell cycle control (92%), TGFb signalling (77%), chromatin remodelling (71%), and the PI3K/AKT pathway (65%). Based on genetic signatures extracted with non-negative matrix factorization we could define five patient clusters, which differed in mutation patterns, gene expression profiles, and survival. In multivariable Cox regression analysis, SMAD4 aberrations were identified as a negative prognostic marker in the gemcitabine arm, an effect that was counteracted when treated with erlotinib (DFS: HR=1.59, p = 0.016, and OS: HR = 1.67, p = 0.014). Integration of differential gene expression analysis established SMAD4 alterations with low MAPK9 expression (n = 91) as a predictive biomarker for longer DFS (HR=0.49; test for interaction, p = 0.02) and OS (HR = 0.32; test for interaction, p = 0.001). Interpretation: this study identified five biologically distinct patient clusters with different actionable lesions and unravelled a previously unappreciated association of SMAD4 alteration status with erlotinib effective-ness. Confirmatory studies and mechanistic experiments are warranted to challenge the hypothesis that SMAD4 status might guide addition of erlotinib treatment in early-stage PDAC patients. (C) 2021 The Author(s). Published by Elsevier B.V.

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