Keratin 17 is a prognostic and predictive biomarker in pancreatic ductal adenocarcinoma

Lyanne A. Delgado-Coka, Lucia Roa-Peña, Sruthi Babu, Michael Horowitz, Emanuel F. Petricoin, Lynn M. Matrisian, Edik M. Blais, Natalia Marchenko, Felicia D. Allard, Ali Akalin, Wei Jiang, Brent K. Larson, Andrew E. Hendifar, Vincent J. Picozzi, Minsig Choi, Kenneth R. Shroyer*, Luisa F. Escobar-Hoyos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: To determine the role of keratin 17 (K17) as a predictive biomarker for response to chemotherapy by defining thresholds of K17 expression based on immunohistochemical tests that could be used to optimize therapeutic intervention for patients with pancreatic ductal adenocarcinoma (PDAC). Methods: We profiled K17 expression, a hallmark of the basal molecular subtype of PDAC, by immunohistochemistry in 2 cohorts of formalin-fixed, paraffin-embedded PDACs (n = 305). We determined a K17 threshold of expression to optimize prognostic stratification according to the lowest Akaike information criterion and explored the potential relationship between K17 and chemoresistance by multivariate predictive analyses. Results: Patients with advanced-stage, low K17 PDACs treated using 5-fluorouracil (5-FU)-based chemotherapeutic regimens had 3-fold longer survival than corresponding cases treated with gemcitabine-based chemotherapy. By contrast, PDACs with high K17 did not respond to either regimen. The predictive value of K17 was independent of tumor mutation status and other clinicopathologic variables. Conclusions: The detection of K17 in 10% or greater of PDAC cells identified patients with shortest survival. Among patients with low K17 PDACs, 5-FU-based treatment was more likely than gemcitabine-based therapies to extend survival.

Original languageEnglish
Pages (from-to)314-326
Number of pages13
JournalAmerican Journal of Clinical Pathology
Volume162
Issue number3
DOIs
StatePublished - 1 Sep 2024
Externally publishedYes

Keywords

  • chemotherapies
  • immunohistochemistry
  • pancreatic ductal adenocarcinoma
  • predictive biomarkers

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