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Estrogen and progesterone receptor (ER, PR) signaling control breast development and impinge on breast carcinogenesis. ER is an established driver of ER + disease but the role of the PR, itself an ER target gene, is debated. We assess the issue in clinically relevant settings by a genetic approach and inject ER + breast cancer cell lines and patient-derived tumor cells to the milk ducts of immunocompromised mice. Such ER + xenografts were exposed to physiologically relevant levels of 17-β-estradiol (E2) and progesterone (P4). We find that independently both premenopausal E2 and P4 levels increase tumor growth and combined treatment enhances metastatic spread. The proliferative responses are patient-specific with MYC and androgen receptor (AR) signatures determining P4 response. PR is required for tumor growth in patient samples and sufficient to drive tumor growth and metastasis in ER signaling ablated tumor cells. Our findings suggest that endocrine therapy may need to be personalized, and that abrogating PR expression can be a therapeutic option. The role of progesterone receptor (PR) and its interplay with estrogen receptor (ER) in breast cancer is controversial. Here, the authors demonstrate that PR can have an ER-independent role in breast cancer growth and metastasis and that its effects are dependent on MYC and androgen receptor signatures.

Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer. Virtually all women with DCIS are treated, despite evidence suggesting up to half would remain with stable, non-threatening, disease. Overtreatment thus presents a pressing issue in DCIS management. To understand the role of the normally tumour suppressive myoepithelial cell in disease progression we present a 3D in vitro model incorporating both luminal and myoepithelial cells in physiomimetic conditions. We demonstrate that DCIS-associated myoepithelial cells promote striking myoepithelial-led invasion of luminal cells, mediated by the collagenase MMP13 through a non-canonical TGFβ – EP300 pathway. In vivo, MMP13 expression is associated with stromal invasion in a murine model of DCIS progression and is elevated in myoepithelial cells of clinical high-grade DCIS cases. Our data identify a key role for myoepithelial-derived MMP13 in facilitating DCIS progression and point the way towards a robust marker for risk stratification in DCIS patients.

Narcolepsy with cataplexy is a sleep disorder caused by deficiency in the hypothalamic neuropeptide hypocretin/orexin (HCRT), unanimously believed to result from autoimmune destruction of hypocretin-producing neurons. HCRT deficiency can also occur in secondary forms of narcolepsy and be only temporary, suggesting it can occur without irreversible neuronal loss. The recent discovery that narcolepsy patients also show loss of hypothalamic (corticotropin-releasing hormone) CRH-producing neurons suggests that other mechanisms than cell-specific autoimmune attack, are involved. Here, we identify the HCRT cell-colocalized neuropeptide QRFP as the best marker of HCRT neurons. We show that if HCRT neurons are ablated in mice, in addition to Hcrt, Qrfp transcript is also lost in the lateral hypothalamus, while in mice where only the Hcrt gene is inactivated Qrfp is unchanged. Similarly, postmortem hypothalamic tissues of narcolepsy patients show preserved QRFP expression, suggesting the neurons are present but fail to actively produce HCRT. We show that the promoter of the HCRT gene of patients exhibits hypermethylation at a methylation-sensitive and evolutionary-conserved PAX5:ETS1 transcription factor-binding site, suggesting the gene is subject to transcriptional silencing. We show also that in addition to HCRT, CRH and Dynorphin (PDYN) gene promoters, exhibit hypermethylation in the hypothalamus of patients. Altogether, we propose that HCRT, PDYN, and CRH are epigenetically silenced by a hypothalamic assault (inflammation) in narcolepsy patients, without concurrent cell death. Since methylation is reversible, our findings open the prospect of reversing or curing narcolepsy.

Time course measurements are used for many applications in biomedical research, ranging from growth curves to drug efficacy testing and high-throughput screening. Statistical methods used to analyze the resulting longitudinal data, such as t-tests or repeated measures ANOVA have limitations when groups are unbalanced, or individual measurements are missing. To address these issues we developed biogrowleR ( https://upbri.gitlab.io/biogrowleR/ ), a workflow to visualize and analyze data based on Frequentist and Bayesian inference combined with hierarchical modeling. By focusing on effect sizes we enhance data interpretation. The workflow further includes a randomization algorithm important to reduce numbers of experimental animals (RRR) and costs. The workflow and R package were designed to be used by researchers with limited experience in R and biostatistics. Our open-source R package biogrowleR contains tutorials, pipelines, and helper functions for the analysis of longitudinal data and enables non computational scientists to perform more effective data analysis.

Pioneering research has shown that high-throughput epigenomics assays such as ChlP-seq and ATAC-seq are applicable to patient-derived breast tumor samples. A host of public data has been accumulated since then, which are potentially of high value for basic research as well as personalized medicine. Such data sets constitute encyclopedias of biological knowledge. However, their impact has so far been limited by access obstacles, especially with regard to extraction and visualization of small portions of data that could potentially answer specific questions arising in a research context. We developed the breast cancer epigenomics track hub (BC hub), a resource intended to make it easy for occasional users to find, access and view data of their interest. The BC hub harbors ChIP-seq, ATAC-seq and copy number data from breast tumors, normal breast cells, patient-derived xenografts and breast cancer cell lines in a genome browsable track format. The tracks can be accessed via hyperlinks that automatically configure customized views for different interest groups. Here, we present a detailed description of the resource and informative use cases illustrating its potential in answering specific biological questions. We show that track hubs constitute a powerful way of bringing epigenomics data to the user who could benefit from them. The examples presented highlight the added-value of joint visualization of breast cancer data from different sources. The proof-of-concept provided here exemplifies and underscores the importance of efforts to make biological data FAIR (findable, accessible, interoperable and reusable), and may serve as an encouragement of similar bottom-up initiatives in other research fields. The BC hub is freely accessible at https://bchub.epfl.ch.

Cutaneous melanoma (CM) is a malignancy with increasing occurrence. Its microRNA repertoire has been defined in a number studies, leading to candidates for biological and clinical relevance: miR-200a/b/c, miR-203, miR-205, miR-204, miR-211, miR-23b and miR-26a/b. Our work was aimed to validate the role of these candidate miRNAs in melanoma, using additional patients cohorts and in vitro cultures. miR-26a, miR-204 and miR-211 were more expressed in normal melanocytes, while miR-23b, miR-200b/c, miR-203 and miR-205 in epidermis and keratinocytes. None of the keratinocyte-related miRNAs was associated with any known mutation or with clinical covariates in melanoma. On the other hand, the loss of miR-204 was enriched in melanomas with NRAS sole mutation (Fisher exact test, P  = 0.001, Log Odds = 1.67), and less frequent than expected in those harbouring CDKN2A mutations (Fisher exact test, P  = 0.001, Log Odds − 1.09). Additionally, miR-204 was associated with better prognosis in two independent melanoma cohorts and its exogenous expression led to growth impairment in melanoma cell lines. Thus, miR-204 represents a relevant mechanism in melanoma, with potential prognostic value and its loss seems to act in the CDKN2A pathway, in cooperation with NRAS.

Treatment optimization in people with HIV (PWH) has increasingly focused on reducing drug burden and improving regimen simplicity. However, comparative real-world evidence on dual therapy (DT) vs. triple therapy (TT), and single-tablet regimens (STR) vs. multi-tablet regimens (MTR), remains limited. The MOSAICO study is a multicenter, retrospective observational analysis conducted across 20 centers, including people with HIV on a stable virological suppression who switched antiretroviral therapy between 2017 and 2019. People were followed-up up to 48 months post-switch. Comparative analyses assessed virological suppression (HIV-RNA <50 copies/mL), CD4 T cell count, CD4/CD8 ratio, and treatment discontinuation. Propensity score weighting was applied to adjust for baseline differences. Four hundred ninety-one PWH were included. Both DT and triple therapy groups maintained high levels of virological suppression over 48 months (12 months: 97.1% vs. 91.6%; 24 months: 100% vs. 95.6%; 36 months: 100% vs. 96.9%; 48 months: 100% vs. 100%). From 24 months onward, all persons living with HIV remaining on their respective regimens achieved full virological suppression. Immunological recovery (CD4 count and CD4/CD8 ratio) was comparable across groups, although TT and MTR groups showed greater increases from lower baselines. STRs demonstrated significantly greater treatment durability than MTRs (aHR = 0.56, 95% CI: 0.32-0.97; p = 0.039), while no significant difference in persistence was found between DT and TT. INSTI-based regimens were predominant in DT and MTR arms (DT vs. TT: 84% vs. 46.52%, p < 0.01; MTR vs. STR: 59.38% vs. 47.14%, p < 0.01). The real-world effectiveness of both dual and triple therapies when tailored to appropriate person profiles. STRs offer enhanced long-term persistence compared to MTRs, supporting treatment simplification strategies. These results reinforce the importance of individualized treatment approaches balancing clinical effectiveness with person-centered considerations such as pill burden and tolerability. Limitations include the retrospective design and the lack of quality-of-life data, which may affect interpretation of patient-centered outcomes. Future efforts should expand access to dual-agent STR to further improve Antiretroviral Therapy outcomes.

Background Molecular tumor boards (MTBs) match molecular alterations with targeted anticancer drugs upon failure of the available therapeutic options. Special and local needs are most likely to emerge through the comparative analysis of MTB networks, but these are rarely reported. This manuscript summarizes the state-of-art of 16 active Italian MTBs, as it emerges from an online survey curated by Alliance Against Cancer (ACC). Main text Most MTBs (13/16) are exclusively supported through local Institutional grants and meet regularly. All but one adopts a fully virtual or a mixed face-to-face/virtual calling/attendance meeting model. It appears that the ACC MTB initiative is shaping a hub-and-spoke virtual MTB network reminiscent of non-redundant, cost-effective healthcare organization models. Unfortunately, public awareness of MTB opportunities presently remains insufficient. Only one center has a website. Dedicated e-mail addresses are for the exclusive use of the MTB staff. More than half of ACC members consider a miscellanea of most or all solid and hematological malignancies, and more than one-third consider neoplasms arising at any anatomical location. The average number of Staff Members in MTBs is 9. More than 10 staff members simultaneously attend MTB meetings in 13 MTBs. A medical oncologist is invariably present and is in charge of introducing the clinical case either with (45%) or without previous discussion in organ-specific multidisciplinary Boards. All but two MTBs take charge of not only patients with no standard-of-care (SoC) therapy option, but also cases receiving NGS profiling in SoC settings, implying a larger number of yearly cases. All MTBs run targeted NGS panels. Three run whole-exome and/or RNAseq approaches. ESCAT-ESMO and/or Onco-KB levels of evidence are similarly used for diagnostic reporting. Most MTBs (11) provide a written diagnostic report within 15 days. Conclusions are invariably communicated to the patient by the medical oncologist. Conclusions MTB networking is crucial not only for molecular diagnosis and therapy assignment, but also for healthcare governance. Survey results show that MTBs review therapeutic opportunities at the crossover between standard-of-care with off-label, the former task being much beyond their scope. Societal and scientific implications of this beyond-the-scope MTB function may be relevant for healthcare in Italy and abroad.