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The molecular mechanism by which cancer-associated fibroblasts (CAFs) confer chemoresistance in ovarian cancer is poorly understood. The purpose of the present study was to evaluate the roles of CAFs in modulating tumor vasculature, chemoresistance, and disease progression. Here, we found that CAFs upregulated the lipoma-preferred partner (LPP) gene in microvascular endothelial cells (MECs) and that LPP expression levels in intratumoral MECs correlated with survival and chemoresistance in patients with ovarian cancer. Mechanistically, LPP increased focal adhesion and stress fiber formation to promote endothelial cell motility and permeability. siRNA-mediated LPP silencing in ovarian tumor-bearing mice improved paclitaxel delivery to cancer cells by decreasing intratumoral microvessel leakiness. Further studies showed that CAFs regulate endothelial LPP via a calcium-dependent signaling pathway involving microfibrillar-associated protein 5 (MFAP5), focal adhesion kinase (FAK), ERK, and LPP. Thus, our findings suggest that targeting endothelial LPP enhances the efficacy of chemotherapy in ovarian cancer. Our data highlight the importance of CAF-endothelial cell crosstalk signaling in cancer chemoresistance and demonstrate the improved efficacy of using LPP-targeting siRNA in combination with cytotoxic drugs.

The role of epithelial-to-mesenchymal transition (EMT) in metastasis is a longstanding source of debate, largely owing to an inability to monitor transient and reversible EMT phenotypes in vivo . Here we establish an EMT lineage-tracing system to monitor this process in mice, using a mesenchymal-specific Cre-mediated fluorescent marker switch system in spontaneous breast-to-lung metastasis models. We show that within a predominantly epithelial primary tumour, a small proportion of tumour cells undergo EMT. Notably, lung metastases mainly consist of non-EMT tumour cells that maintain their epithelial phenotype. Inhibiting EMT by overexpressing the microRNA miR-200 does not affect lung metastasis development. However, EMT cells significantly contribute to recurrent lung metastasis formation after chemotherapy. These cells survived cyclophosphamide treatment owing to reduced proliferation, apoptotic tolerance and increased expression of chemoresistance-related genes. Overexpression of miR-200 abrogated this resistance. This study suggests the potential of an EMT-targeting strategy, in conjunction with conventional chemotherapies, for breast cancer treatment. An epithelial-to-mesenchymal transition (EMT) lineage-tracing system in a mouse model of breast-to-lung metastasis reveals that although some cells undergo EMT in a primary epithelial tumour, the lung metastases mainly arise from cells that have not undergone EMT; in addition, cells that have undergone EMT appear more resistant to chemotherapy. No requirement for EMT in metastasis It has been suggested that epithelial-to-mesenchymal transition (EMT), in which epithelial cells depolarize and adopt a fibroblast-like morphology, is a requirement for metastasis to occur. Other studies imply that the importance of EMT relies on cell-culture-based manipulation of EMT regulators. In this issue of Nature , two groups present results that suggest that EMT is not a prerequisite for metasasis. Dingcheng Gao and colleagues trace the fate of cells that have undergone EMT in mouse model for breast-to-lung metastasis. They find that although some cells undergo EMT in a primary epithelial tumour, the lung metastases mainly contain cells that have not undergone EMT. However, cells that have undergone EMT appear more resistant to chemotherapy. A microRNA that targets key EMT regulators is shown not to affect metastasis, but to reduce survival of EMT cells following chemotherapy. Raghu Kalluri and colleagues delete Twist or Snail — transcription factors that induce EMT — in a mouse model for pancreatic ductal adenocarcinoma. This leads to an increase in cell proliferation, and a greater sensitivity to chemotherapeutic agent gemcitabine, with no effect on invasion and metastasis.

Background Amyloid beta (Aβ) deposits are well‐documented in the retinas of Alzheimer's disease (AD) patients, with retinal Aβ levels closely correlating with brain Aβ deposition. Impaired glymphatic clearance is a key mechanism implicated in Aβ accumulation in the AD brain; however the potential role of glymphatic clearance deficits in driving retinal Aβ accumulation remains poorly understood. Furthermore, alterations in Müller glial cell (MGC) biology, known to play a critical role in retinal homeostasis and neuroinflammatory responses, may exacerbate Aβ pathology. This study investigates whether optic nerve glymphatic clearance impairments and Müller glia cell (MGC) biology alterations collectively contribute to retinal Aβ accumulation. Methods Comparing 3‐month‐old female 5xFAD vs. wild‐type (WT) mice, we compared MGC phenotypic differences and optic nerve glymphatic clearance rates. Immunofluorescence was used to quantify MGC expression of glial fibrillary acidic protein (GFAP) to quantify gliosis and aquaporin‐4 (AQP4), which is the main molecular driver of glymphatic clearance in both the brain and the eye. To observe glymphatic clearance in the anterograde direction (from eye toward brain), we performed intravitreal injections of fluorescent human Aβ40 as well as fluorescent cadaverine to observe extracellular fluid transport. Results AQP4 demonstrated a robust upregulation across all retina layers in 5xFAD mice, marked by enhanced perivascular localization and increased expression in the neuropil. GFAP levels were notably elevated in the peripheral retina of 5xFAD mice, suggesting potential reactive gliosis and glymphatic disruptions originating in these regions. Importantly, the study observed consistent anterograde glymphatic transport of fluorescent Aβ or cadaverine tracers via the optic nerve, indicating maintained transport efficiency in this pathway. Conclusions These findings reinforce and expand on prior evidence that Müller glial cell (MGC) biology undergoes significant changes in the early stages of AD, potentially preceding clinical symptoms. The identification of the peripheral retina as a critical yet underexplored region in understanding retinal AD pathology highlights its potential as an accessible biomarker and a potential target for early intervention. Further research will dissect the complex interplay between local Aβ production and clearance to clarify the retina's role in AD progression, paving the way for novel diagnostic and therapeutic strategies.

Mutations in the gene encoding the transcriptional repressor methyl-CpG binding protein 2 (MeCP2) cause the neurodevelopmental disorder Rett syndrome. Loss of function as well as increased dosage of the MECP2 gene cause a host of neuropsychiatric disorders. To explore the molecular mechanism(s) underlying these disorders, we examined gene expression patterns in the hypothalamus of mice that either lack or overexpress MeCP2. In both models, MeCP2 dysfunction induced changes in the expression levels of thousands of genes, but unexpectedly the majority of genes (~85%) appeared to be activated by MeCP2. We selected six genes and confirmed that MeCP2 binds to their promoters. Furthermore, we showed that MeCP2 associates with the transcriptional activator CREB1 at the promoter of an activated target but not a repressed target. These studies suggest that MeCP2 regulates the expression of a wide range of genes in the hypothalamus and that it can function as both an activator and a repressor of transcription.

The way in which cells adopt different morphologies is not fully understood. Cell shape could be a continuous variable or restricted to a set of discrete forms. We developed quantitative methods to describe cell shape and show that Drosophila haemocytes in culture are a heterogeneous mixture of five discrete morphologies. In an RNAi screen of genes affecting the morphological complexity of heterogeneous cell populations, we found that most genes regulate the transition between discrete shapes rather than generating new morphologies. In particular, we identified a subset of genes, including the tumour suppressor PTEN , that decrease the heterogeneity of the population, leading to populations enriched in rounded or elongated forms. We show that these genes have a highly conserved function as regulators of cell shape in both mouse and human metastatic melanoma cells. Bakal, Wong and colleagues performed an RNAi screen in Drosophila cells, as well as imaging and systems-level analyses, to identify genes regulating morphological complexity in heterogeneous cell populations. They report that rather than generating novel shapes, most genes control a switch-like transition between distinct morphologies. The authors also extend their findings to mouse and human melanoma cells.

The majority of breast cancer models for drug discovery are based on orthotopic or subcutaneous tumours. Therapeutic responses of metastases, especially microscopic metastases, are likely to differ from these tumours due to distinct cancer-microenvironment crosstalk in distant organs. Here, to recapitulate such differences, we established an ex vivo bone metastasis model, termed bone-in-culture array or BICA, by fragmenting mouse bones preloaded with breast cancer cells via intra-iliac artery injection. Cancer cells in BICA maintain features of in vivo bone micrometastases regarding the microenvironmental niche, gene expression profile, metastatic growth kinetics and therapeutic responses. Through a proof-of-principle drug screening using BICA, we found that danusertib, an inhibitor of the Aurora kinase family, preferentially inhibits bone micrometastases. In contrast, certain histone methyltransferase inhibitors stimulate metastatic outgrowth of indolent cancer cells, specifically in the bone. Thus, BICA can be used to investigate mechanisms involved in bone colonization and to rapidly test drug efficacies on bone micrometastases. The bone microenvironment may alter therapeutic responses of disseminated breast cancer cells. Here the authors establish an ex vivo bone metastasis model, termed BICA, to delineate the effects of bone microenvironment and to rapidly discover anti-metastasis drugs.

Recent advances in automated high-resolution fluorescence microscopy and robotic handling have made the systematic and cost effective study of diverse morphological changes within a large population of cells possible under a variety of perturbations, e.g., drugs, compounds, metal catalysts, RNA interference (RNAi). Cell population-based studies deviate from conventional microscopy studies on a few cells, and could provide stronger statistical power for drawing experimental observations and conclusions. However, it is challenging to manually extract and quantify phenotypic changes from the large amounts of complex image data generated. Thus, bioimage informatics approaches are needed to rapidly and objectively quantify and analyze the image data. This paper provides an overview of the bioimage informatics challenges and approaches in image-based studies for drug and target discovery. The concepts and capabilities of image-based screening are first illustrated by a few practical examples investigating different kinds of phenotypic changes caEditorsused by drugs, compounds, or RNAi. The bioimage analysis approaches, including object detection, segmentation, and tracking, are then described. Subsequently, the quantitative features, phenotype identification, and multidimensional profile analysis for profiling the effects of drugs and targets are summarized. Moreover, a number of publicly available software packages for bioimage informatics are listed for further reference. It is expected that this review will help readers, including those without bioimage informatics expertise, understand the capabilities, approaches, and tools of bioimage informatics and apply them to advance their own studies.

Aimed at bridging imaging technology development with cancer diagnosis, this paper first presents the prevailing challenges of lung cancer detection and diagnosis, with an emphasis on imaging techniques. It then elaborates on the working principle of coherent anti-Stokes Raman scattering microscopy, along with a description of pathologic applications to show the effectiveness and potential of this novel technology for lung cancer diagnosis. As a nonlinear optical technique probing intrinsic molecular vibrations, coherent anti-Stokes Raman scattering microscopy offers an unparalleled, label-free strategy for clinical cancer diagnosis and allows differential diagnosis of fresh specimens based on cell morphology information and patterns, without any histology staining. This powerful feature promises a higher biopsy yield for early cancer detection by incorporating a real-time imaging feed with a biopsy needle. In addition, molecularly targeted therapies would also benefit from early access to surgical specimen with high accuracy but minimum tissue consumption, therefore potentially saving specimens for follow-up diagnostic tests. Finally, we also introduce the potential of a coherent anti-Stokes Raman scattering-based endoscopy system to support intraoperative applications at the cellular level.

Dysarthria is common in movement disorders, such as Wilson's disease (WD), Parkinson's disease, or Huntington's disease. Dysarthria severity assessment is often indispensable for the management of these diseases. However, such assessment is usually labor‐intensive, time‐consuming, and expensive. To seek efficient and cost‐effective solutions for dysarthria assessment, an artificial intelligence (AI)‐powered acoustic analysis system is proposed and its performance in a valuable sample of WD, an ideal disease model with mainly mixed dysarthria, is verified. A test‐retest reliability analysis yields excellent reproducibility in the acoustic measures (mean intraclass correlation coefficient [ICC] = 0.81). Then, a system for dysarthria assessment is trained with WD patients (n = 65) and sex‐matched healthy controls (n = 65) using a machine learning approach. The system achieves reasonable performance in evaluating dysarthria severity with either stepwise classification or regression (all areas under the curve >80%; mean absolute error = 6.25, r = 0.79, p < 0.0001). The diadochokinesis and sustained phonation tasks contribute the most to prediction, and the corresponding acoustic features can provide significant and independent contributions. The present study demonstrates the feasibility and good performance of the AI‐powered acoustic analysis framework, offering the potential to facilitate early screening and subsequent management of dysarthria. Dysarthria severity assessment is often indispensable in diagnosing, treating, and rehabilitating movement disorders. The study proposes an interpretable artificial intelligence‐powered acoustic analysis system in the clinical decision support system framework and discovers some biomarkers sensitive enough to dysarthria with good retest reliability. The framework provides an efficient and effective decision‐support tool for clinics to diagnose, assess, and monitor dysarthria early.

mTOR inhibitor rapamycin and its analogs are lipophilic, demonstrate blood–brain barrier penetration, and have shown promising antitumor effects in several types of refractory tumors. We thus try to explore the therapeutic effects of mTOR inhibitors on brain metastasis models. We examined the effects of different dose of mTOR inhibitors (rapamycin, Temsirolimus-CCI-779) on cell invasion in two brain metastatic breast cancer cell lines (MDA-MB231-BR and CN34-BrM2). Antibody microarray and immunoblotting were applied to detect signaling pathways underlying the dose differential drug effects. The in vivo effects of single drug (CCI-779), and drug combination of CCI-779 with SL327 (a brain penetrant MEK inhibitor) to eliminate the unfavorable activation of MAPK pathway were evaluated in MDA-MB231-BR brain metastases xenograft mice. The two mTOR inhibitors, rapamycin and CCI-779, inhibited the invasion of brain metastatic cells only at a moderate concentration level, which was lost at higher concentrations secondary to activation of the MAPK signaling pathway. Pharmacological inhibition of ERK1/2 by PD98059 and SL327 restored the anti-invasion effects of mTOR inhibition in vitro. In vivo, a significant decrease was noted in the average number of micro and large metastatic lesions as well as the whole brain GFP expression in the CCI-779 1 mg/kg/day treated group compared with that in the vehicle group ( P  < 0.05). However, 10 mg/kg CCI-779 treatment did not show significant anti-metastasis effect on the animal model. High-dose CCI-779 eliciting the ERK MAPK activation in the brain metastatic lesion was corroborated. Combined with the brain penetrant MEK inhibitor SL327, high-dose CCI-779 significantly reduces the brain metastasis, and the combination treatment prohibited perivascular invasion of tumor cells and inhibits tumor angiogenesis in vivo. This study provides evidence on the potential value of CCI-779 as well as CCI-779 + SL327 in prohibiting breast cancer brain metastasis.