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一个以 GATA6 为中心的基因调控网络,涉及 HNFs 和 ΔNp63,控制着胰腺癌的可塑性和免疫逃逸。

A GATA6-centred gene regulatory network involving HNFs and ΔNp63 controls plasticity and immune escape in pancreatic cancer.

机构信息

Institute of Cancer Research, Departmet of Medicine I, Medical University of Vienna, Wien, Austria.

Comprehensive Cancer Center, Medical University Vienna, Wien, Austria.

出版信息

Gut. 2022 Apr;71(4):766-777. doi: 10.1136/gutjnl-2020-321397. Epub 2021 Apr 12.

DOI:10.1136/gutjnl-2020-321397
PMID:33846140
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9733634/
Abstract

OBJECTIVE

Molecular taxonomy of tumours is the foundation of personalised medicine and is becoming of paramount importance for therapeutic purposes. Four transcriptomics-based classification systems of pancreatic ductal adenocarcinoma (PDAC) exist, which consistently identified a subtype of highly aggressive PDACs with basal-like features, including ΔNp63 expression and loss of the epithelial master regulator GATA6. We investigated the precise molecular events driving PDAC progression and the emergence of the basal programme.

DESIGN

We combined the analysis of patient-derived transcriptomics datasets and tissue samples with mechanistic experiments using a novel dual-recombinase mouse model for Gata6 deletion at late stages of KRas-driven pancreatic tumorigenesis (Gata6).

RESULTS

This comprehensive human-to-mouse approach showed that GATA6 loss is necessary, but not sufficient, for the expression of ΔNp63 and the basal programme in patients and in mice. The concomitant loss of HNF1A and HNF4A, likely through epigenetic silencing, is required for the full phenotype switch. Moreover, Gata6 deletion in mice dramatically increased the metastatic rate, with a propensity for lung metastases. Through RNA-Seq analysis of primary cells isolated from mouse tumours, we show that Gata6 inhibits tumour cell plasticity and immune evasion, consistent with patient-derived data, suggesting that GATA6 works as a barrier for acquiring the fully developed basal and metastatic phenotype.

CONCLUSIONS

Our work provides both a mechanistic molecular link between the basal phenotype and metastasis and a valuable preclinical tool to investigate the most aggressive subtype of PDAC. These data, therefore, are important for understanding the pathobiological features underlying the heterogeneity of pancreatic cancer in both mice and human.

摘要

目的

肿瘤的分子分类是个性化医学的基础,对于治疗目的变得至关重要。目前存在四种基于转录组学的胰腺导管腺癌 (PDAC) 分类系统,这些系统一致地鉴定出一种具有基底样特征的高度侵袭性 PDAC 亚型,包括 ΔNp63 表达和上皮主调控因子 GATA6 的缺失。我们研究了驱动 PDAC 进展和基底程序出现的精确分子事件。

设计

我们将患者衍生的转录组数据集和组织样本的分析与使用新型双重重组酶小鼠模型进行的机制实验相结合,该模型用于在 KRas 驱动的胰腺肿瘤发生的晚期敲除 Gata6 (Gata6)。

结果

这种全面的人类到小鼠方法表明,在患者和小鼠中,GATA6 的缺失对于 ΔNp63 的表达和基底程序是必要的,但不是充分的。HNF1A 和 HNF4A 的同时缺失,可能通过表观遗传沉默,是完全表型转换所必需的。此外,Gata6 在小鼠中的缺失极大地增加了转移率,并倾向于肺转移。通过对从小鼠肿瘤中分离的原代细胞进行 RNA-Seq 分析,我们表明 Gata6 抑制肿瘤细胞可塑性和免疫逃避,与患者衍生的数据一致,表明 GATA6 作为获得完全发育的基底和转移表型的障碍。

结论

我们的工作提供了基底表型和转移之间的机制分子联系,以及一个有价值的临床前工具,用于研究 PDAC 中最具侵袭性的亚型。这些数据对于理解在小鼠和人类中胰腺癌细胞异质性的病理生物学特征非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/0f11ae67e753/gutjnl-2020-321397f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/190d19de8589/gutjnl-2020-321397f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/96a6dc27482b/gutjnl-2020-321397f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/bc5aa1d626be/gutjnl-2020-321397f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/5ab6ee54fd3c/gutjnl-2020-321397f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/8a9c89ab8051/gutjnl-2020-321397f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/0f11ae67e753/gutjnl-2020-321397f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/190d19de8589/gutjnl-2020-321397f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/96a6dc27482b/gutjnl-2020-321397f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/bc5aa1d626be/gutjnl-2020-321397f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/5ab6ee54fd3c/gutjnl-2020-321397f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/8a9c89ab8051/gutjnl-2020-321397f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3796/9733634/0f11ae67e753/gutjnl-2020-321397f06.jpg

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