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BackgroundMany recent studies using ChIP-seq approaches cross-referenced to trascriptome data and also to potentially unbiased in vitro DNA binding selection experiments are detailing with increasing precision the p53-directed gene regulatory network that, nevertheless, is still expanding. However, most experiments have been conducted in established cell lines subjected to specific p53-inducing stimuli, both factors potentially biasing the results.ResultsWe developed p53retriever, a pattern search algorithm that maps p53 response elements (REs) and ranks them according to predicted transactivation potentials in five classes. Besides canonical, full site REs, we developed specific pattern searches for non-canonical half sites and 3/4 sites and show that they can mediate p53-dependent responsiveness of associated coding sequences. Using ENCODE data, we also mapped p53 REs in about 44,000 distant enhancers and identified a 16-fold enrichment for high activity REs within those sites in the comparison with genomic regions near transcriptional start sites (TSS). Predictions from our pattern search were cross-referenced to ChIP-seq, ChIP-exo, expression, and various literature data sources. Based on the mapping of predicted functional REs near TSS, we examined expression changes of thirteen genes as a function of different p53-inducing conditions, providing further evidence for PDE2A, GAS6, E2F7, APOBEC3H, KCTD1, TRIM32, DICER, HRAS, KITLG and TGFA p53-dependent regulation, while MAP2K3, DNAJA1 and potentially YAP1 were identified as new direct p53 target genes.ConclusionsWe provide a comprehensive annotation of canonical and non-canonical p53 REs in the human genome, ranked on predicted transactivation potential. We also establish or corroborate direct p53 transcriptional control of thirteen genes. The entire list of identified and functionally classified p53 REs near all UCSC-annotated genes and within ENCODE mapped enhancer elements is provided. Our approach is distinct from, and complementary to, existing methods designed to identify p53 response elements. p53retriever is available as an R package at: http://tomateba.github.io/p53retriever.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-1643-9) contains supplementary material, which is available to authorized users.

The p53 and NFκB sequence-specific transcription factors play crucial roles in cell proliferation and survival with critical, even if typically opposite, effects on cancer progression. To investigate a possible crosstalk between p53 and NFκB driven by chemotherapy-induced responses in the context of an inflammatory microenvironment, we performed a proof of concept study using MCF7 cells. Transcriptome analyses upon single or combined treatments with doxorubicin (Doxo, 1.5μM) and the NFκB inducer TNF-alpha (TNF⍺, 5ng/ml) revealed 432 up-regulated (log2 FC> 2), and 390 repressed genes (log2 FC< -2) for the Doxo+TNF⍺ treatment. 239 up-regulated and 161 repressed genes were synergistically regulated by the double treatment. Annotation and pathway analyses of Doxo+TNF⍺ selectively up-regulated genes indicated strong enrichment for cell migration terms. A panel of genes was examined by qPCR coupled to p53 activation by Doxo, 5-Fluoruracil and Nutlin-3a, or to p53 or NFκB inhibition. Transcriptome data were confirmed for 12 of 15 selected genes and seven (PLK3, LAMP3, ETV7, UNC5B, NTN1, DUSP5, SNAI1) were synergistically up-regulated after Doxo+TNF⍺ and dependent both on p53 and NFκB. Migration assays consistently showed an increase in motility for MCF7 cells upon Doxo+TNF⍺. A signature of 29 Doxo+TNF⍺ highly synergistic genes exhibited prognostic value for luminal breast cancer patients, with adverse outcome correlating with higher relative expression. We propose that the crosstalk between p53 and NFκB can lead to the activation of specific gene expression programs that may impact on cancer phenotypes and potentially modify the efficacy of cancer therapy.

Breast cancer treatment often includes Doxorubicin as adjuvant as well as neoadjuvant chemotherapy. Despite its cytotoxicity, cells can develop drug resistance to Doxorubicin. Uncovering pathways and mechanisms involved in drug resistance is an urgent and critical aim for breast cancer research oriented to improve treatment efficacy. Here we show that Doxorubicin and other chemotherapeutic drugs induce the expression of ETV7, a transcriptional repressor member of ETS family of transcription factors. The ETV7 expression led to DNAJC15 down-regulation, a co-chaperone protein whose low expression was previously associated with drug resistance in breast and ovarian cancer. There was a corresponding reduction in Doxorubicin sensitivity of MCF7 and MDA-MB-231 breast cancer cells. We identified the binding site for ETV7 within DNAJC15 promoter and we also found that DNA methylation may be a factor in ETV7-mediated DNAJC15 transcriptional repression. These findings of an inverse correlation between ETV7 and DNAJC15 expression in MCF7 cells in terms of Doxorubicin resistance, correlated well with treatment responses of breast cancer patients with recurrent disease, based on our analyses of reported genome-wide expression arrays. Moreover, we demonstrated that ETV7-mediated Doxorubicin-resistance involves increased Doxorubicin efflux via nuclear pumps, which could be rescued in part by DNAJC15 up-regulation. With this study, we propose a novel role for ETV7 in breast cancer, and we identify DNAJC15 as a new target gene responsible for ETV7-mediated Doxorubicin-resistance. A better understanding of the opposing impacts of Doxorubicin could improve the design of combinatorial adjuvant regimens with the aim of avoiding resistance and relapse.

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The present study suggests that breast cancer patients can be divided into three subgroups with different detection rates for distant metastases at staging (0.59%, 2.94% and 15.53%), and that the standard practice should be changed. In the first (T1N0 and T1N1 patients with < or = 3 positive lymph nodes--41.13% of the patients) and the second group (T2N0, T2N1 with < or = 3 positive lymph nodes, T3N0 and T3N1 patients with < or = 3 positive lymph nodes--33.49% of the patients) there is no need for a complete set of staging procedures, whereas full procedural staging is needed in the third group of patients (T4, N1 with > 3 lymph nodes and N2, 25.37% of the patients).

As proviral human immunodeficiency virus type 1 (HIV-1) DNA can replenish and revive viral infection upon activation, its detection might offer significant therapeutic information, complementing the input provided by plasma RNA determination in the follow-up of infected individuals. A selected group of acutely infected subjects was studied to verify both total and 2-long terminal repeat (2-LTR) DNA proviral load during the acute phase of infection and thereafter. Patients were divided in two sex- and age-matched groups: 19 naive individuals who did not receive antiretroviral therapy during the observation period and 20 subjects treated according to current guidelines. Total and 2-LTR HIV-1 DNA proviral load, in addition to RNA viral load and CD4 cell count, were determined in peripheral blood mononuclear cells (PBMC) at baseline, 6 and 12 months after the first sampling. Total and 2-LTR HIV-1 DNA proviral load exhibited no significant variation at any time in the naive patients (total HIV-1 DNA ranging from 896 + or - 731 to 715 + or - 673 copies/10(5) PBMC and 2-LTR HIV-1 DNA ranging from 94 + or - 105 to 65 + or - 44 copies/10(5) PBMC), whereas a significant reduction in both total HIV-1 DNA (ranging from 997 + or - 676 to 262 + or - 174 copies/10(5) PBMC) and 2-LTR HIV-1 DNA proviral load (ranging from 116 + or - 55 to 26 + or - 35 copies/10(5) PBMC) was detected in highly active antiretroviral therapy (HAART) patients, together with a CD4(+) T cell count increase and RNA load decrease. HAART negatively affects both the labile HIV burden and the integrated proviral DNA, at least in the initial period of successful treatment, suggesting that quantification of HIV-1 DNA proviral load may be an important parameter in monitoring HIV infection.

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