Mimics of α-helices on protein surfaces have emerged as powerful reagents for antagonizing protein-protein interactions, which are difficult to target with small molecules. Here we describe the ...design of a cell-permeable synthetic α-helix, based on the guanine nucleotide exchange factor Sos, that interferes with Ras-Sos interaction and downregulates Ras signaling in response to receptor tyrosine kinase activation.
Intratumor heterogeneity in prostate cancer Yadav, Shalini S.; Stockert, Jennifer A.; Hackert, Victoria ...
Urologic oncology,
August 2018, 2018-08-00, 20180801, Letnik:
36, Številka:
8
Journal Article
Recenzirano
Prostate cancer (PCa) has long been thought of as a disease with a heterogeneous phenotype. It can manifest in men as benign growths that can be safely watched or as more aggressive malignancies that ...can prove fatal. Recent investigations at the genomic, histopathological and molecular levels have identified tumor heterogeneity, the phenomenon of individual tumor cells presenting distinct genomic and phenotypic characteristics, as one of the most confounding and complex factors underlying PCa diagnosis, prognosis, and treatment. Despite tremendous progress made over the course of the last decade we still have an incomplete understanding of the extent and effect of intra- and inter-tumoral heterogeneity in the course of PCa progression. For example, a primary tumor can be classified into one of several molecular subgroups depending on whether the cancer has a particular gene fusion or a mutation which in turn might yield some patient-specific therapeutic regimen, but this same type of heterogeneous growth can be spatially or temporally restricted proving it difficult to detect during biopsy. We therefore present here a comprehensive review of the various studies addressing intra-tumor heterogeneity in PCa and in the context of that seen in other solid tumors. We discuss the impact of heterogeneity on clinical decision-making in treating both primary and metastatic lesions and how our understanding of this heterogeneity might help in developing better diagnostic tools and biomarkers and in guiding the selection of better therapeutic strategies.
•Intra-tumor heterogeneity (ITH) in prostate cancer is a major confounding factor influencing disease progression.•Cancer stem cell, clonal (liner, braided river, or neutral), and punctuated-evolution models have been proposed to understand ITH.•Multifocal tumors in the prostate are common, and further challenge accurate prognosis.•Monoclonal origin and field effect hypotheses have been proposed to explain multifocality in prostate cancer.•ITH also plays a role in metastasis, and circulating tumor cell (CTC) and disseminated tumor cell (DTC) spread and survival.
Extracellular vesicles (EVs) offer many opportunities in early-stage disease diagnosis, treatment monitoring, and precision therapy owing to their high abundance in bodily fluids, accessibility from ...liquid biopsy, and presence of nucleic acid and protein cargo from their cell of origin. Despite their growing promise, isolation of EVs for analysis remains a labor-intensive and time-consuming challenge given their nanoscale dimensions (30-200 nm) and low buoyant density. Here, we report a simple, size-based EV separation technology that integrates 1024 nanoscale deterministic lateral displacement (nanoDLD) arrays on a single chip capable of parallel processing sample fluids at rates of up to 900 μL h-1. Benchmarking the nanoDLD chip against commonly used EV isolation technologies, including ultracentrifugation (UC), UC plus density gradient, qEV size-exclusion chromatography (Izon Science), and the exoEasy Maxi Kit (QIAGEN), we demonstrate a superior yield of ∼50% for both serum and urine samples, representing the ability to use smaller input volumes to achieve the same number of isolated EVs, and a concentration factor enhancement of up to ∼3× for both sample types, adjustable to ∼60× for urine through judicious design. Further, RNA sequencing was carried out on nanoDLD- and UC-isolated EVs from prostate cancer (PCa) patient serum samples, resulting in a higher gene expression correlation between replicates for nanoDLD-isolated EVs with enriched miRNA, decreased rRNA, and the ability to detect previously reported RNA indicators of aggressive PCa. Taken together, these results suggest nanoDLD as a promising alternative technology for fast, reproducible, and automatable EV-isolation.
The ubiquitin proteasomal system (UPS) represents a highly regulated protein degradation pathway essential for maintaining cellular homeostasis. This system plays a critical role in several cellular ...processes, which include DNA damage repair, cell cycle checkpoint control, and immune response regulation. Recently, the UPS has emerged as a promising target for cancer therapeutics due to its involvement in oncogenesis and tumor progression. Here we aim to summarize the key aspects of the UPS and its significance in cancer therapeutics. We begin by elucidating the fundamental components of the UPS, highlighting the role of ubiquitin, E1-E3 ligases, and the proteasome in protein degradation. Furthermore, we discuss the intricate process of ubiquitination and proteasomal degradation, emphasizing the specificity and selectivity achieved through various signaling pathways. The dysregulation of the UPS has been implicated in cancer development and progression. Aberrant ubiquitin-mediated degradation of key regulatory proteins, such as tumor suppressors and oncoproteins, can lead to uncontrolled cell proliferation, evasion of apoptosis, and metastasis. We outline the pivotal role of the UPS in modulating crucial oncogenic pathways, including the regulation of cyclins, transcription factors, Replication stress components and DNA damage response. The increasing recognition of the UPS as a target for cancer therapeutics has spurred the development of small molecules, peptides, and proteasome inhibitors with the potential to restore cellular balance and disrupt tumor growth. We provide an overview of current therapeutic strategies aimed at exploiting the UPS, including the use of proteasome inhibitors, deubiquitinating enzyme inhibitors, and novel E3 ligase modulators. We further discuss novel emerging strategies for the development of next-generation drugs that target proteasome inhibitors. Exploiting the UPS for cancer therapeutics offers promising avenues for developing innovative and effective treatment strategies, providing hope for improved patient outcomes in the fight against cancer.
PURPOSEWe sought to 1) assess the association of radiomics features based on multiparametric magnetic resonance imaging with histopathological Gleason score, gene signatures and gene expression ...levels in prostate cancer and 2) build machine learning models based on radiomics features to predict adverse histopathological scores and the Decipher® genomics metastasis risk score. MATERIALS AND METHODSWe retrospectively analyzed the records of 64 patients with prostate cancer with a mean age of 64 years (range 41 to 76) who underwent magnetic resonance imaging between January 2016 and January 2017 before radical prostatectomy. A total of 226 magnetic resonance imaging radiomics features, including histogram and texture features in addition to lesion size and the PI-RADS™ (Prostate Imaging Reporting and Data System) score, were extracted from T2-weighted, apparent diffusion coefficient and diffusion kurtosis imaging maps. Radiomics features were correlated with the pathological Gleason score, 40 gene expression signatures, including Decipher, and 698 prostate cancer related gene expression levels. Cross-validated, lasso regularized, logistic regression machine learning models based on radiomics features were built and evaluated for the prediction of Gleason score 8 or greater and Decipher score 0.6 or greater. RESULTSA total of 14 radiomics features significantly correlated with the Gleason score (highest correlation r = 0.39, p = 0.001). A total of 31 texture and histogram features significantly correlated with 19 gene signatures, particularly with the PORTOS (Post-Operative Radiation Therapy Outcomes Score) signature (strongest correlation r = -0.481, p = 0.002). A total of 40 diffusion-weighted imaging features correlated significantly with 132 gene expression levels. Machine learning prediction models showed fair performance to predict a Gleason score of 8 or greater (AUC 0.72) and excellent performance to predict a Decipher score of 0.6 or greater (AUC 0.84). CONCLUSIONSMagnetic resonance imaging radiomics features are promising markers of prostate cancer aggressiveness on the histopathological and genomics levels.
Aedes aegypti and Ae. albopictus are among the most important vectors of arboviral diseases, worldwide. Recent studies indicate that diverse midgut microbiota of mosquitoes significantly affect ...development, digestion, metabolism, and immunity of their hosts. Midgut microbiota has also been suggested to modulate the competency of mosquitoes to transmit arboviruses, malaria parasites etc. Interestingly, the midgut microbial flora is dynamic and the diversity changes with the development of vectors, in addition to other factors such as species, sex, life-stage, feeding behavior and geographical origin. The aim of the present study was to investigate the midgut bacterial diversity among larva, adult male, sugar fed female and blood fed female Ae. albopictus collected from Tezpur, Northeastern India. Based on colony morphological characteristics, we selected 113 cultivable bacterial isolates for 16S rRNA gene sequence based molecular identification. Of the 113 isolates, we could identify 35 bacterial species belonging to 18 distinct genera under four major phyla, namely Proteobacteria, Firmicutes, Actinobacteria and Bacteroidetes. Phyla Proteobacteria and Firmicutes accounted for majority (80%) of the species, while phylum Actinobacteria constituted 17% of the species. Bacteroidetes was the least represented phylum, characterized by a single species- Chryseobacterium rhizoplanae, isolated from blood fed individuals. Dissection of midgut microbiota diversity at different developmental stages of Ae. albopictus will be helpful in better understanding mosquito-borne diseases, and for designing effective strategies to manage mosquito-borne diseases.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Therapy resistance is imposing a daunting challenge on effective clinical management of breast cancer. Although the development of resistance to drugs is multifaceted, reprogramming of energy ...metabolism pathways is emerging as a central but heterogenous regulator of this therapeutic challenge. Metabolic heterogeneity in cancer cells is intricately associated with alterations of different signaling networks and activation of DNA damage response pathways. Here we consider how the dynamic metabolic milieu of cancer cells regulates their DNA damage repair ability to ultimately contribute to development of therapy resistance. Diverse epigenetic regulators are crucial in remodeling the metabolic landscape of cancer. This epigenetic-metabolic interplay profoundly affects genomic stability of the cancer cells as well as their resistance to genotoxic therapies. These observations identify defining mechanisms of cancer epigenetics-metabolism-DNA repair axis that can be critical for devising novel, targeted therapeutic approaches that could sensitize cancer cells to conventional treatment strategies.
Microbiota inhabiting midguts of mosquitoes play a key role in the host - parasite interaction and enhance vectorial capacity of viral diseases like dengue and chikungunya fevers. Mosquito midgut is ...considered to be an important site for host-pathogen interaction and pathogen survival is thought to be an outcome of this interaction. In the present study we examined the bacterial community in the midgut of Aedes mosquitoes in Arunanchal Pradesh, India, a subtropical zone where dengue fever is reported to be emerging.
Larvae and pupa of Aedes mosquitoes were collected from a biodiversity hotspot, Bhalukpong, Arunachal Pradesh, India. 16S rRNA gene sequences were used for identification of isolated bacterial population from each species of mosquitoes. We used various diversity indices to assess the diversity and richness of the bacterial isolates in both mosquito species.
On the basis of 16S rRNA gene sequence analysis a total of 24 bacterial species from 13 genera were identified belonging to 10 families of four major phyla. Phylum Proteobacteria was dominant followed by Firmicutes, Bacteroidetes and Actinobacteria. The midgut bacteria belonging to the phylum Proteobacteria and Firmicutes were isolated from both Ae. albopictus and Ae. aegypti, whereas, bacteria belonging to phylum Bacteroidetes and Actinobacteria were isolated only from Ae. albopictus and Ae. aegypti respectively. Enterobacter cloacae was the dominant bacterial species in both Ae. albopictus (33.65%) and Ae. aegypti (56.45%). Bacillus aryabhattai (22.78%) was the second most common bacterial species in Ae. albopictus whereas, in Ae. aegypti the second most common bacterial species was Stenotrophomonas maltophilia (7.44%).
The family Enterobacteriaceae of phylum Proteobacteria was dominant in both species of Aedes mosquitoes. To the best of our knowledge, this is the first attempt to study midgut microbiota from a biodiversity hotspot in Northeastern India. Some bacterial genera Enterobacter and Acinetobacter isolated in this study are known to play important roles in parasite-vector interaction. Information on midgut microflora may lead towards the development of novel, safe, and effective strategies to manipulate the vectorial capacity of mosquitoes.
Abstract
Here we report a novel nitridation technique for transforming niobium into hexagonal Nb
2
N which appears to be superconducting below 1K. The nitridation is achieved by high temperature ...annealing of Nb films grown on Si
3
N
4
/Si (100) substrate under high vacuum. The structural characterization directs the formation of a majority Nb
2
N phase while the morphology shows granular nature of the films. The temperature dependent resistance measurements reveal a wide metal-to-superconductor transition featuring two distinct transition regions. The region close to the normal state varies strongly with the film thickness, whereas, the second region in the vicinity of the superconducting state remains almost unaltered but exhibiting resistive tailing. The current-voltage characteristics also display wide transition embedded with intermediate resistive states originated by phase slip lines. The transition width in current and the number of resistive steps depend on film thickness and they both increase with decrease in thickness. The broadening in transition width is explained by progressive establishment of superconductivity through proximity coupled superconducting nano-grains while finite size effects and quantum fluctuation may lead to the resistive tailing. Finally, by comparing with Nb control samples, we emphasize that Nb
2
N offers unconventional superconductivity with promises in the field of phase slip based device applications.
Epigenetic regulation established during development to maintain patterns of transcriptional expression and silencing for metabolism and other fundamental cell processes can be reprogrammed in ...cancer, providing a molecular mechanism for persistent alterations in phenotype. Metabolic deregulation and reprogramming are thus an emerging hallmark of cancer with opportunities for molecular classification as a critical preliminary step for precision therapeutic intervention. Yet, acquisition of therapy resistance against most conventional treatment regimens coupled with tumor relapse, continue to pose unsolved problems for precision healthcare, as exemplified in breast cancer where existing data informs both cancer genotype and phenotype. Furthermore, epigenetic reprograming of the metabolic milieu of cancer cells is among the most crucial determinants of therapeutic resistance and cancer relapse. Importantly, subtype-specific epigenetic-metabolic interplay profoundly affects malignant transformation, resistance to chemotherapy, and response to targeted therapies. In this review, we therefore prismatically dissect interconnected epigenetic and metabolic regulatory pathways and then integrate them into an observable cancer metabolism-therapy-resistance axis that may inform clinical intervention. Optimally coupling genome-wide analysis with an understanding of metabolic elements, epigenetic reprogramming, and their integration by metabolic profiling may decode missing molecular mechanisms at the level of individual tumors. The proposed approach of linking metabolic biochemistry back to genotype, epigenetics, and phenotype for specific tumors and their microenvironment may thus enable successful mechanistic targeting of epigenetic modifiers and oncometabolites despite tumor metabolic heterogeneity.
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