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Tischfield, S.

Publications and source records attributed to Tischfield, S..

2 recordsLinked to original sources

SMARCA4, STK11, and KEAP1 co-inactivation associates with poor prognosis and upregulation of the TGF-β pathway in lung adenocarcinoma

BackgroundLung adenocarcinoma (LUAD) is clinically and molecularly defined by oncogenic driver mutations, identification of which has led to the development of driver-targeted therapies and substantial improvements in prognosis for subsets of LUAD patients. Recent studies assessing clinical outcomes in the context of multigenic alterations have identified secondary mutations that might explain differential responses to targeted therapies, chemotherapies and immunotherapies. Genetic inactivation or loss of SMARCA4, which frequently co-occurs with loss-of-function mutations in STK11 and KEAP1, is especially predictive of poor prognosis and shorter overall survival in LUAD patients, regardless of driver status. We sought to examine the clinical and functional associations of SMARCA4 deficiency in LUAD, with or without co-associated STK11/KEAP1 loss-of-function. MethodsWe examined correlation between SMARCA4 loss, gene expression and prognosis through genomic and transcriptomic profiling of clinically annotated LUAD samples. We generated isogenic cell line models with genetic knockouts of SMARCA4 with or without concomitant STK11 and KEAP1 to profile mutationally-defined genotypes of interest in vitro and in vivo. Lastly, we interrogated the functional dependency of SMARCA4/STK11/KEAP1 triple mutant models on TGF-{beta} signaling to assess its potential as a therapeutic target. ResultsSMARCA4/STK11/KEAP1 triple mutant LUAD is associated with poor survival and high frequency of multisite metastasis. SMARCA4/STK11/KEAP1 triple knockout models showed enhanced migration and invasion in vitro, and diversified organotropism in an in vivo intracardiac xenograft metastasis assay. RNA-Seq and DNaseI-Seq of these in vitro models and clinical samples identified upregulation of TGF-{beta} signaling and EMT gene expression signatures, and corresponding changes in chromatin accessibility, in SMARCA4/STK11/KEAP1 triple mutant LUAD. ConclusionsWe identify SMARCA4/STK11/KEAP1 triple mutant LUAD as a prognostically significant disease subset and nominate TGF-{beta} signaling as a potential therapeutic target.

cancer biology↗

DNA damage-induced interaction between a lineage addiction oncogenic transcription factor and the MRN complex shapes a tissue-specific DNA Damage Response and cancer predisposition

Since genome instability can drive cancer initiation and progression, cells have evolved highly effective and ubiquitous DNA Damage Response (DDR) programs. However, some cells, in skin for example, are normally exposed to high levels of DNA damaging agents. Whether such high-risk cells possess lineage-specific mechanisms that tailor DNA repair to the tissue remains largely unknown. Here we show, using melanoma as a model, that the microphthalmia-associated transcription factor MITF, a lineage addition oncogene that coordinates many aspects of melanocyte and melanoma biology, plays a non-transcriptional role in shaping the DDR. On exposure to DNA damaging agents, MITF is phosphorylated by ATM/DNA-PKcs, and unexpectedly its interactome is dramatically remodelled; most transcription (co)factors dissociate, and instead MITF interacts with the MRE11-RAD50-NBS1 (MRN) complex. Consequently, cells with high MITF levels accumulate stalled replication forks, and display defects in homologous recombination-mediated repair associated with impaired MRN recruitment to DNA damage. In agreement, high MITF levels are associated with increased SNV burden in melanoma. Significantly, the SUMOylation-defective MITF-E318K melanoma predisposition mutation recapitulates the effects of ATM/DNA-PKcs-phosphorylated MITF. Our data suggest that a non-transcriptional function of a lineage-restricted transcription factor contributes to a tissue-specialised modulation of the DDR that can impact cancer initiation.

molecular biology↗