The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer

Abstract Combination chemotherapy, either modified FOLFIRINOX (mFFX) or gemcitabine–nabpaclitaxel, are used in the treatment of most patients with advanced pancreatic ductal adenocarcinoma (PDAC), yet robust biomarkers of outcome are currently lacking to guide regimen selection. Here, we tested GATA...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kai Duan, Gun-Ho Jang, Robert C. Grant, Julie M. Wilson, Faiyaz Notta, Grainne M. O’Kane, Jennifer J. Knox, Steven Gallinger, Sandra Fischer
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/73ccc66b28ee408c885e22f743c92bee
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:73ccc66b28ee408c885e22f743c92bee
record_format dspace
spelling oai:doaj.org-article:73ccc66b28ee408c885e22f743c92bee2021-12-02T17:55:13ZThe value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer10.1038/s41598-021-94544-32045-2322https://doaj.org/article/73ccc66b28ee408c885e22f743c92bee2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94544-3https://doaj.org/toc/2045-2322Abstract Combination chemotherapy, either modified FOLFIRINOX (mFFX) or gemcitabine–nabpaclitaxel, are used in the treatment of most patients with advanced pancreatic ductal adenocarcinoma (PDAC), yet robust biomarkers of outcome are currently lacking to guide regimen selection. Here, we tested GATA6 immunohistochemistry (IHC) as a putative biomarker in advanced PDAC. GATA6 is a transcription factor in normal pancreas development. Two pathologists, blinded to clinical and molecular data, independently assessed GATA6 IHC in biopsy specimens of 130 patients with advanced PDAC, in 2 distinct phases (without and with computer assistance using the open source software QuPath). Low GATA6 IHC expression was associated with shorter overall survival [median OS 6.2 months for patients with GATA6 low tumors vs. 11.5 months for patients with GATA6 high tumors, HR 1.66 (95% CI 1.15–2.40), P = 0.007]. Progression appears to be higher in GATA6-low tumors compared to GATA6-high tumors in patients treated with mFFX (P = 0.024) but not in patients treated with gemcitabine regimens. GATA6 IHC expression was significantly associated with molecular subtypes (P = 0.0003). Digital assistance markedly improved interrater concordance (Cohen’s kappa scores of 0.32 vs. 0.95). Our results provide strong evidence that GATA6 IHC can be used as a single biomarker in the clinic to predict clinical outcome in advanced PDAC, warranting further investigation in prospective clinical trials. These results provide the basis for an improved classification of PDAC and future biomarker design using digital pathology workflow.Kai DuanGun-Ho JangRobert C. GrantJulie M. WilsonFaiyaz NottaGrainne M. O’KaneJennifer J. KnoxSteven GallingerSandra FischerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kai Duan
Gun-Ho Jang
Robert C. Grant
Julie M. Wilson
Faiyaz Notta
Grainne M. O’Kane
Jennifer J. Knox
Steven Gallinger
Sandra Fischer
The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
description Abstract Combination chemotherapy, either modified FOLFIRINOX (mFFX) or gemcitabine–nabpaclitaxel, are used in the treatment of most patients with advanced pancreatic ductal adenocarcinoma (PDAC), yet robust biomarkers of outcome are currently lacking to guide regimen selection. Here, we tested GATA6 immunohistochemistry (IHC) as a putative biomarker in advanced PDAC. GATA6 is a transcription factor in normal pancreas development. Two pathologists, blinded to clinical and molecular data, independently assessed GATA6 IHC in biopsy specimens of 130 patients with advanced PDAC, in 2 distinct phases (without and with computer assistance using the open source software QuPath). Low GATA6 IHC expression was associated with shorter overall survival [median OS 6.2 months for patients with GATA6 low tumors vs. 11.5 months for patients with GATA6 high tumors, HR 1.66 (95% CI 1.15–2.40), P = 0.007]. Progression appears to be higher in GATA6-low tumors compared to GATA6-high tumors in patients treated with mFFX (P = 0.024) but not in patients treated with gemcitabine regimens. GATA6 IHC expression was significantly associated with molecular subtypes (P = 0.0003). Digital assistance markedly improved interrater concordance (Cohen’s kappa scores of 0.32 vs. 0.95). Our results provide strong evidence that GATA6 IHC can be used as a single biomarker in the clinic to predict clinical outcome in advanced PDAC, warranting further investigation in prospective clinical trials. These results provide the basis for an improved classification of PDAC and future biomarker design using digital pathology workflow.
format article
author Kai Duan
Gun-Ho Jang
Robert C. Grant
Julie M. Wilson
Faiyaz Notta
Grainne M. O’Kane
Jennifer J. Knox
Steven Gallinger
Sandra Fischer
author_facet Kai Duan
Gun-Ho Jang
Robert C. Grant
Julie M. Wilson
Faiyaz Notta
Grainne M. O’Kane
Jennifer J. Knox
Steven Gallinger
Sandra Fischer
author_sort Kai Duan
title The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
title_short The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
title_full The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
title_fullStr The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
title_full_unstemmed The value of GATA6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
title_sort value of gata6 immunohistochemistry and computer-assisted diagnosis to predict clinical outcome in advanced pancreatic cancer
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/73ccc66b28ee408c885e22f743c92bee
work_keys_str_mv AT kaiduan thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT gunhojang thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT robertcgrant thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT juliemwilson thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT faiyaznotta thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT grainnemokane thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT jenniferjknox thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT stevengallinger thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT sandrafischer thevalueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT kaiduan valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT gunhojang valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT robertcgrant valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT juliemwilson valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT faiyaznotta valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT grainnemokane valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT jenniferjknox valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT stevengallinger valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
AT sandrafischer valueofgata6immunohistochemistryandcomputerassisteddiagnosistopredictclinicaloutcomeinadvancedpancreaticcancer
_version_ 1718379115262771200