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de Andrés, Mónica P; Jackson, Richard J; Felipe, Irene; Zagorac, Sladjana; Pilarsky, Christian; Schlitter, Anna Melissa; Martinez de Villareal, Jaime; Jang, Gun Ho; Costello, Eithne; Gallinger, Steve; Ghaneh, Paula; Greenhalf, William; Knösel, Thomas; Palmer, Daniel H; Ruemmele, Petra; Weichert, Wilko; Buechler, Markus; Hackert, Thilo; Neoptolemos, John P; Notta, Faiyaz; Malats, Núria; Martinelli, Paola; Real, Francisco X
Gut, 03/2023, Letnik: 72, Številka: 3Journal Article
GATA6 is a key regulator of the classical phenotype in pancreatic ductal adenocarcinoma (PDAC). Low GATA6 expression associates with poor patient outcome. is the second most expressed GATA factor in the pancreas. We assessed whether, and how, GATA4 contributes to PDAC phenotype and analysed the association of expression with outcome and response to chemotherapy. We analysed PDAC transcriptomic data, stratifying cases according to and expression and identified differentially expressed genes and pathways. The genome-wide distribution of GATA4 was assessed, as well as the effects of knockdown. A multicentre tissue microarray study to assess GATA4 and GATA6 expression in samples (n=745) from patients with resectable was performed. GATA4 and GATA6 levels were dichotomised into high/low categorical variables; association with outcome was assessed using univariable and multivariable Cox regression models. messenger RNA is enriched in classical, compared with basal-like tumours. We classified samples in 4 groups as high/low for and . Reduced expression of had a minor transcriptional impact but low expression of enhanced the effects of low expression. GATA4 and GATA6 display a partially overlapping genome-wide distribution, mainly at promoters. Reduced expression of both proteins in tumours was associated with the worst patient survival. and expression significantly decreased in metastases and negatively correlated with basal markers. and cooperate to maintain the classical phenotype. Our findings provide compelling rationale to assess their expression as biomarkers of poor prognosis and therapeutic response.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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