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1.
Gut ; 71(4): 766-777, 2022 04.
Article in English | MEDLINE | ID: mdl-33846140

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 KRasG12D-driven pancreatic tumorigenesis (Gata6LateKO). 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.


Subject(s)
Carcinoma, Pancreatic Ductal , Pancreatic Neoplasms , Animals , Carcinoma, Pancreatic Ductal/pathology , GATA6 Transcription Factor/genetics , GATA6 Transcription Factor/metabolism , Gene Expression Regulation, Neoplastic , Gene Regulatory Networks , Humans , Mice , Pancreatic Neoplasms/pathology , Pancreatic Neoplasms
2.
Oncogene ; 39(32): 5455-5467, 2020 08.
Article in English | MEDLINE | ID: mdl-32587399

ABSTRACT

As the catalog of oncogenic driver mutations is expanding, it becomes clear that alterations in a given gene might have different functions and should not be lumped into one class. The transcription factor GATA3 is a paradigm of this. We investigated the functions of the most common GATA3 mutation (X308_Splice) and five additional mutations, which converge into a neoprotein that we called "neoGATA3," associated with excellent prognosis in patients. Analysis of available molecular data from >3000 breast cancer patients revealed a dysregulation of the ER-dependent transcriptional response in tumors carrying neoGATA3-generating mutations. Mechanistic studies in vitro showed that neoGATA3 interferes with the transcriptional programs controlled by estrogen and progesterone receptors, without fully abrogating them. ChIP-Seq analysis indicated that ER binding is reduced in neoGATA3-expressing cells, especially at distal regions, suggesting that neoGATA3 interferes with the fine tuning of ER-dependent gene expression. This has opposite outputs in distinct hormonal context, having pro- or anti-proliferative effects, depending on the estrogen/progesterone ratio. Our data call for functional analyses of putative cancer drivers to guide clinical application.


Subject(s)
Breast Neoplasms/genetics , GATA3 Transcription Factor/genetics , Breast Neoplasms/immunology , Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Cell Cycle/physiology , Female , GATA3 Transcription Factor/immunology , GATA3 Transcription Factor/metabolism , Humans , Mutation , Oncogenes , RNA Splicing , RNA, Messenger/genetics , RNA, Messenger/immunology , RNA, Messenger/metabolism , Receptors, Estrogen/immunology , Receptors, Estrogen/metabolism , Receptors, Progesterone/immunology , Receptors, Progesterone/metabolism , T-Lymphocytes/immunology , T-Lymphocytes/pathology
3.
Sci Transl Med ; 10(446)2018 06 20.
Article in English | MEDLINE | ID: mdl-29925635

ABSTRACT

On the basis of clinical trials using first-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs), it became a doctrine that V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (K-RAS) mutations drive resistance to EGFR inhibition in non-small cell lung cancer (NSCLC). Conversely, we provide evidence that EGFR signaling is engaged in K-RAS-driven lung tumorigenesis in humans and in mice. Specifically, genetic mouse models revealed that deletion of Egfr quenches mutant K-RAS activity and transiently reduces tumor growth. However, EGFR inhibition initiates a rapid resistance mechanism involving non-EGFR ERBB family members. This tumor escape mechanism clarifies the disappointing outcome of first-generation TKIs and suggests high therapeutic potential of pan-ERBB inhibitors. On the basis of various experimental models including genetically engineered mouse models, patient-derived and cell line-derived xenografts, and in vitro experiments, we demonstrate that the U.S. Food and Drug Administration-approved pan-ERBB inhibitor afatinib effectively impairs K-RAS-driven lung tumorigenesis. Our data support reconsidering the use of pan-ERBB inhibition in clinical trials to treat K-RAS-mutated NSCLC.


Subject(s)
Afatinib/therapeutic use , Carcinogenesis/pathology , Lung Neoplasms/drug therapy , Proto-Oncogene Proteins p21(ras)/genetics , Adenocarcinoma of Lung/genetics , Adenocarcinoma of Lung/pathology , Afatinib/pharmacology , Carcinogenesis/genetics , Cell Line, Tumor , Cell Proliferation/drug effects , Drug Resistance, Neoplasm/drug effects , ErbB Receptors/metabolism , Erlotinib Hydrochloride/pharmacology , Erlotinib Hydrochloride/therapeutic use , Gefitinib/pharmacology , Gefitinib/therapeutic use , Humans , Lung Neoplasms/genetics , Lung Neoplasms/pathology , Mutation/genetics , Signal Transduction/drug effects
4.
Nat Commun ; 6: 6285, 2015 Mar 03.
Article in English | MEDLINE | ID: mdl-25734337

ABSTRACT

STAT3 is considered to play an oncogenic role in several malignancies including lung cancer; consequently, targeting STAT3 is currently proposed as therapeutic intervention. Here we demonstrate that STAT3 plays an unexpected tumour-suppressive role in KRAS mutant lung adenocarcinoma (AC). Indeed, lung tissue-specific inactivation of Stat3 in mice results in increased Kras(G12D)-driven AC initiation and malignant progression leading to markedly reduced survival. Knockdown of STAT3 in xenografted human AC cells increases tumour growth. Clinically, low STAT3 expression levels correlate with poor survival and advanced malignancy in human lung AC patients with smoking history, which are prone to KRAS mutations. Consistently, KRAS mutant lung tumours exhibit reduced STAT3 levels. Mechanistically, we demonstrate that STAT3 controls NF-κB-induced IL-8 expression by sequestering NF-κB within the cytoplasm, thereby inhibiting IL-8-mediated myeloid tumour infiltration and tumour vascularization and hence tumour progression. These results elucidate a novel STAT3-NF-κB-IL-8 axis in KRAS mutant AC with therapeutic and prognostic relevance.


Subject(s)
Adenocarcinoma/drug therapy , Carcinogenesis , Gene Expression Regulation, Neoplastic/physiology , Lung Neoplasms/drug therapy , Proto-Oncogene Proteins p21(ras)/metabolism , STAT3 Transcription Factor/metabolism , Signal Transduction/physiology , Adenocarcinoma/genetics , Adenocarcinoma/metabolism , Animals , Chromatin Immunoprecipitation , Enzyme-Linked Immunosorbent Assay , Gene Knockdown Techniques , Heterografts , Humans , Immunoblotting , In Situ Hybridization , Interleukin-8/metabolism , Lung Neoplasms/genetics , Lung Neoplasms/metabolism , Mice , NF-kappa B/metabolism , Proto-Oncogene Proteins p21(ras)/genetics , Real-Time Polymerase Chain Reaction , STAT3 Transcription Factor/genetics , Statistics, Nonparametric , Tissue Array Analysis
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