A crossroad of microRNAs and immediate early genes (IEGs) encoding oncogenic transcription factors in breast cancer

The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies

Our ability to discover effective drug combinations is limited, in part by insufficient understanding of how the transcriptional response of two monotherapies results in that of their combination. We analyzed matched time course RNAseq profiling of cells treated with single drugs and their combinations and found that the transcriptional signature of the synergistic combination was unique relative to that of either constituent monotherapy. The sequential activation of transcription factors in time in the gene regulatory network was implicated. The nature of this transcriptional cascade suggests that drug synergy may ensue when the transcriptional responses elicited by two unrelated individual drugs are correlated. We used these results as the basis of a simple prediction algorithm attaining an AUROC of 0.77 in the prediction of synergistic drug combinations in an independent dataset.

Transcriptional dynamics reveal critical roles for non-coding RNAs in the immediate-early response

The immediate-early response mediates cell fate in response to a variety of extracellular stimuli and is dysregulated in many cancers. However, the specificity of the response across stimuli and cell types, and the roles of non-coding RNAs are not well understood. Using a large collection of densely-sampled time series expression data we have examined the induction of the immediate-early response in unparalleled detail, across cell types and stimuli. We exploit cap analysis of gene expression (CAGE) time series datasets to directly measure promoter activities over time. Using a novel analysis method for time series data we identify transcripts with expression patterns that closely resemble the dynamics of known immediate-early genes (IEGs) and this enables a comprehensive comparative study of these genes and their chromatin state. Surprisingly, these data suggest that the earliest transcriptional responses often involve promoters generating non-coding RNAs, many of which are produced in advance of canonical protein-coding IEGs. IEGs are known to be capable of induction without de novo protein synthesis. Consistent with this, we find that the response of both protein-coding and non-coding RNA IEGs can be explained by their transcriptionally poised, permissive chromatin state prior to stimulation. We also explore the function of non-coding RNAs in the attenuation of the immediate early response in a small RNA sequencing dataset matched to the CAGE data: We identify a novel set of microRNAs responsible for the attenuation of the IEG response in an estrogen receptor positive cancer cell line. Our computational statistical method is well suited to meta-analyses as there is no requirement for transcripts to pass thresholds for significant differential expression between time points, and it is agnostic to the number of time points per dataset.

Cells respond to stimuli through a set of genes that are primed for rapid activation. These genes, known as immediate-early genes (IEGs), are regulated at the level of transcription of the messenger RNA, and at subsequent RNA processing levels. These rapid responders are then rapidly switched off in normal cells. Immediate-early genes are involved in many cellular processes, including differentiation and proliferation, that are often dysregulated in cancer where they become continuously active. We characterise IEGs in a genome-wide sequencing dataset that captures their transcriptional response over time. Using a novel analysis technique, we identify both protein-coding and non-coding genes that are activated comparably to IEGs and investigate their properties. We examine how IEGs are switched off, including through microRNAs, small non-coding RNAs that act to control the level of key IEGs. We identify a novel set of microRNAs responsible for the attenuation of the IEG response in an estrogen receptor positive cancer cell line.

miR-199a-3p displays tumor suppressor functions in papillary thyroid carcinoma

Thyroid cancer incidence is rapidly increasing. Papillary Thyroid Carcinoma (PTC), the most frequent hystotype, usually displays good prognosis, but no effective therapeutic options are available for the fraction of progressive PTC patients. BRAF and RET/PTC are the most frequent driving genetic lesions identified in PTC. We developed two complementary in vitro models based on RET/PTC1 oncogene, starting from the hypothesis that miRNAs modulated by a driving PTC-oncogene are likely to have a role in thyroid neoplastic processes. Through this strategy, we identified a panel of deregulated miRNAs. Among these we focused on miR-199a-3p and showed its under-expression in PTC specimens and cell lines. We demonstrated that miR-199a-3p restoration in PTC cells reduces MET and mTOR protein levels, impairs migration and proliferation and, more interesting, induces lethality through an unusual form of cell death similar to methuosis, caused by macropinocytosis dysregulation. Silencing MET or mTOR, both involved in survival pathways, does not recapitulate miR-199a-3p-induced cell lethality, thus suggesting that the cooperative regulation of multiple gene targets is necessary. Integrated analysis of miR-199a-3p targets unveils interesting networks including HGF and macropinocytosis pathways. Overall our results indicate miR-199a-3p as a tumor suppressor miRNA in PTC.

JUNB promotes the survival of Flavopiridol treated human breast cancer cells

Chemotherapy resistance is a major obstacle to achieving durable progression-free-survival in breast cancer patients. Identifying resistance mechanisms is crucial to the development of effective breast cancer therapies. Immediate early genes (IEGs) function in the initial cellular reprogramming response to alterations in the extracellular environment and IEGs have been implicated in cancer cell development and progression. The purpose of this study was to investigate the influence of kinase inhibitors on IEG expression in breast cancer cells. The results demonstrated that Flavopiridol (FP), a CDK9 inhibitor, effectively reduced gene expression. FP treatment, however, consistently produced a delayed induction of JUNB gene expression in multiple breast cancer cell lines. Similar results were obtained with Sorafenib, a multi-kinase inhibitor and U0126, a MEK1 inhibitor. Functional studies revealed that JUNB plays a pro-survival role in kinase inhibitor treated breast cancer cells. These results demonstrate a unique induction of JUNB in response to kinase inhibitor therapies that may be among the earliest events in the progression to treatment resistance.