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A cell's fate involves transitions among its various states, each defined by a distinct gene expression profile governed by the topology of gene regulatory networks, which are affected by 3D genome organization. Here, we develop thermodynamic models to determine the fate of a malignant cell as governed by the tumor suppressor p53 signaling network, taking into account long-range chromatin interactions in the mean-field approximation. The tumor suppressor p53 responds to stress by selectively triggering one of the potential transcription programs that influence many layers of cell signaling. These range from p53 phosphorylation to modulation of its DNA binding affinity, phase separation phenomena, and internal connectivity among cell fate genes. We use the minimum free energy of the system as a fundamental property of biological networks that influences the connection between the gene network topology and the state of the cell. We constructed models based on network topology and equilibrium thermodynamics. Our modeling shows that the binding of phosphorylated p53 to promoters of target genes can have properties of a first order phase transition. We apply our model to cancer cell lines ranging from breast cancer (MCF-7), colon cancer (HCT116), and leukemia (K562), with each one characterized by a specific network topology that determines the cell fate. Our results clarify the biological relevance of these mechanisms and suggest that they represent flexible network designs for switching between developmental decisions. [ABSTRACT FROM AUTHOR]

Resistance training is used to combat skeletal muscle function decline in older adults. Few studies have been designed specific for females, resulting in very limited treatment options for skeletal muscle atrophy in aging women. Here, we analyzed the gene expression profiles of skeletal muscle samples from sedentary young women, sedentary older women, and resistance-trained older women, using microarray data from public database. A total of 45 genes that were differentially expressed during female muscle aging and reversed by resistance training were identified. Functional and pathway enrichment analysis, protein–protein interaction network analysis, and receiver operating characteristic analysis were performed to reveal the key genes and pathways involved in the effects of resistance training on female muscle aging. The collagen genes COL1A1, COL3A1, and COL4A1 were identified important regulators of female muscle aging and resistance training, by modulating multiple signaling pathways, such as PI3 kinase-Akt signaling, focal adhesions, extracellular matrix-receptor interactions, and relaxin signaling. Interestingly, the expression of CDKN1A and TP63 were increased during aging, and further upregulated by resistance training in older women, suggesting they may negatively affect resistance training outcomes. Our findings provide novel insights into the molecular mechanisms of resistance training on female muscle aging and identify potential biomarkers and targets for clinical intervention. [ABSTRACT FROM AUTHOR]

The rising incidence of cancer underscores the imperative for innovative diagnostic and prognostic methodologies. This study delves into the potential of RNA-Seq gene expression data to enhance cancer classification accuracy. Introducing a pioneering approach, we model gene expression data as point clouds, capitalizing on the data's intrinsic properties to bolster classification performance. Utilizing PointNet, a typical technique for processing point cloud data, as our framework's cornerstone, we incorporate inductive biases pertinent to gene expression and pathways. This integration markedly elevates model efficacy, culminating in developing an end-to-end deep learning classifier with an accuracy rate surpassing 99%. Our findings not only illuminate the capabilities of AI-driven models in the realm of oncology but also highlight the criticality of acknowledging biological dataset nuances in model design. This research provides insights into application of deep learning in medical science, setting the stage for further innovation in cancer classification through sophisticated biological data analysis. The source code for our study is accessible at: https://github.com/cialab/GPNet. [ABSTRACT FROM AUTHOR]

Background: Neural precursor cell expressed developmentally downregulated 9 (NEDD9) is considered an important factor in the progression of cancer, acting as a modulator of cellular migration, adhesion, and metastatic potential. Its significance as a prognostic factor, however, remains unclear, which necessitated a comprehensive review and meta-analysis. Methods: Our study followed the PRISMA guidelines, analyzing studies from major databases including PubMed, Embase, and Cochrane. Our eligibility criteria included studies evaluating NEDD9 expression in relation to cancer prognosis and outcomes such as overall survival (OS), progression-free survival (PFS), disease-free Survival (DFS), recurrence-free survival (RFS), and cancer-specific survival (CSS). We used random-effects and fixed-effect models for meta-analysis, and we validated our findings by comparative analysis using data from external cohorts like The Cancer Genome Atlas (TCGA). Results: The analysis of 27 studies with 3915 patients demonstrated a significant relationship between NEDD9 expression and poor OS as indicated by the pooled meta-analysis outcome across all included cancers (HR: 1.81, 95% CI: 1.38-2.37). A significant effect on PFS/DFS/RFS/CSS was also found (HR: 2.14, 95% CI: 1.42-3.23). Variations in survival across different types of cancer were indicated by subgroup analysis. NEDD9 expression was correlated with various immune cells across cancer types according to immune infiltration analysis. Protein-protein interaction (PPI) analysis indicated significant interactions involving NEDD9, suggesting mechanisms which influence tumor behavior and response to treatment. Conclusion: Our results suggest that NEDD9 is a significant prognostic marker in several human cancers. As a result of its central role in cancer progression and prognosis, it presents a promising target for therapeutic interventions. Our study highlights the importance of further research into the biology of NEDD9 and its therapeutic potential. [ABSTRACT FROM AUTHOR]

Type 2 innate lymphoid cells (ILC2s) have emerged as pivotal regulators in the pathogenesis of diseases, with their roles in inflammation, metabolism, and tissue homeostasis becoming increasingly recognized. This review provides an overview of the current understanding of ILC2s in inflammation and metabolic disorders, including their functional contributions. Moreover, we will discuss how these cells adapt their metabolic processes to support their function and survival and how their metabolic requirements change under different physiological and pathological conditions. Lastly, we will review recent omics studies that have provided insights into the molecular and cellular characteristics of ILC2s. This includes transcriptomic, proteomic, and metabolomic analyses that have elucidated the gene expression profiles, protein interactions, and metabolic networks, respectively, associated with ILC2s. These studies have advanced our understanding of the functional diversity of ILC2s and their involvement in metabolic disease. [ABSTRACT FROM AUTHOR]

Functional genomics, a multidisciplinary subject, investigates the functions of genes and their products in biological systems to better understand diseases and find new drugs. Drug repurposing is an economically efficient approach that entails discovering novel therapeutic applications for already-available medications. Genomics enables the identification of illness and therapeutic molecular characteristics and interactions, which in turn facilitates the process of drug repurposing. Techniques like gene expression profiling and Mendelian randomization are helpful in identifying possible medication candidates. Progress in computer science allows for the investigation and modeling of gene expression networks that involve large amounts of data. The amalgamation of data concerning DNA, RNA, and protein functions bears similarity to pharmacogenomics, a crucial aspect in crafting cancer therapeutics. Functional genomics in drug discovery, particularly for cancer, is still not thoroughly investigated, despite the existence of a significant amount of literature on the subject. Next-generation sequencing and proteomics present highly intriguing opportunities. Publicly available databases and mining techniques facilitate the development of cancer treatments based on functional genomics. Broadening the exploration and utilization of functional genomics holds significant potential for advancing drug discovery and repurposing, particularly within the realm of oncology. [ABSTRACT FROM AUTHOR]

Background: Global warming-induced environmental stresses have diverse effects on gene expression and regulation in the life processes of various aquatic organisms. N6 adenylate methylation (m6A) modifications are known to influence mRNA transcription, localization, translation, stability, splicing, and nuclear export, which are pivotal in mediating stress responses. Apostichopus japonicus is a significant species in aquaculture and a representative of benthic organisms in ecosystems, thus there is a growing need for research on its heat stress mechanism. Results: In this study, m6A-modified whole transcriptome profiles of the respiratory tree tissues of A. japonicus in the control (T18) and high-temperature stress (T32) groups were obtained using MeRIP-seq technology. The results showed that 7,211 common m6A peaks, and 9,459 genes containing common m6A were identified in three replicates T18 and T32 groups. The m6A peaks were found to be highly enriched in the 3' untranslated region, and the common sequence of the m6A peak was also enriched, which was shown as RRACH (R = G or A; H = A, C, or U). A total of 1,200 peaks were identified as significantly differentially enriched in the T32 group compared with the T18 group. Among them, 245 peaks were upregulated and 955 were downregulated, which indicated that high temperature stress significantly altered the methylation pattern of m6A, and there were more demethylation sites in the T32 group. Conjoint analysis of the m6A methylation modification and the transcript expression level (the MeRIP-seq and RNA-seq data) showed co-differentiated 395 genes were identified, which were subsequently divided into four groups with a predominant pattern that more genes with decreased m6A modification and up-regulated expression, including HSP70IV, EIF2AK1, etc. GO enrichment and KEGG analyses of differential m6A peak related genes and co-differentiated genes showed the genes were significantly associated with transcription process and pathways such as protein processing in the endoplasmic reticulum, Wnt signaling pathway, and mTOR signaling pathway, etc. Conclusion: The comparisons of m6A modification patterns and conjoint analyses of m6A modification and gene expression profiles suggest that m6A modification was involved in the regulation of heat stress-responsive genes and important functional pathways in A. japonicus in response to high-temperature stress. The study will contribute to elucidate the regulatory mechanism of m6A modification in the response of A. japonicus to environmental stress, as well as the conservation and utilization of sea cucumber resources in the context of environmental changes. [ABSTRACT FROM AUTHOR]

Backfat thickness is an important economic trait that affects pork quality and flavor. The Lijiang pig (LJP), a local breed in Yunnan province, China, exhibits variations in growth and body composition. However, the molecular basis for these variations is unclear. This study aimed to analyze transcriptome profiles of backfat at different growth stages in LJP with discrepant body size: two months (M2), four months, and six months. Firstly, we analyzed the gene expression differences and discovered a significantly highest number of differentially expressed genes (DEGs) at the M2 stage. Secondly, we identified four gene profiles with reverse expression trends in LJP populations with different body sizes, and the related genes mainly associated with immune response functionality. Thirdly, we observed a lower correlation in LJP with large body size at the M2 stage, with a specific enrichment of DEGs with high genetic differentiation related to neural activity. Finally, we correlated transcriptome profiles of muscle and backfat and discovered the lowest correlation at the M2 stage. Highly correlated genes exhibited more significant differences and were prominently enriched for immune response processes. This study unveils candidate genes linked to backfat growth in LJP, emphasizing the specificity of the early growth stage of backfat. [ABSTRACT FROM AUTHOR]

The Tomato Brown Rugose Fruit Virus (ToBRFV) is a pathogen that mostly affects plants from the Solanaceae family. This virus severely affects the yield of tomato (Solanum lycopersicum L.) plants, thus creating an urgent need to research the basis of resistance to manage the disease. To understand the molecular basis of resistance, we employed omics-based approaches involving leaf ionomics and transcriptomics to help us decipher the interaction between elemental and nutritional composition and investigate its effect on the gene expression profile upon the ToBRFV infection in tomatoes. Ionomics was used to investigate the accumulation of trace elements in leaves, showcasing that the plants resistant to the virus had significantly higher concentrations of iron (p-value = 0.039) and nickel (p-value = 0.042) than the susceptible ones. By correlating these findings with transcriptomics, we identified some key genes involved in iron homeostasis and abscisic acid pathways, potentially responsible for conferring resistance against the pathogen. From the obtained list of differentially expressed genes, a panel of mutation profile was discovered with three important genes—Solyc02g068590.3.1 (K+ transporter), Solyc01g111890.3.1 (LRR), and Solyc02g061770.4.1 (Chitinase) showing persistent missense mutations. We ascertain the role of these genes and establish their association with plant resistance using genotyping assays in various tomato lines. The targeted selection of these genetic determinants can further enhance plant breeding and crop yield management strategies. [ABSTRACT FROM AUTHOR]

Meniscus injuries are common and while surgical strategies have improved, there is a need for alternative therapeutics to improve long-term outcomes and prevent post-traumatic osteoarthritis. Current research efforts in regenerative therapies and tissue engineering are hindered by a lack of understanding of meniscus cell biology and a poorly defined meniscus cell phenotype. This study utilized bulk RNA-sequencing to identify unique and overlapping transcriptomic profiles in cartilage, inner and outer zone meniscus tissue, and passaged inner and outer zone meniscus cells. The greatest transcriptomic differences were identified when comparing meniscus tissue to passaged monolayer cells (> 4,600 differentially expressed genes (DEGs)) and meniscus tissue to cartilage (> 3,100 DEGs). While zonal differences exist within the meniscus tissue (205 DEGs between inner and outer zone meniscus tissue), meniscus resident cells are more similar to each other than to either cartilage or passaged monolayer meniscus cells. Additionally, we identified and validated LUM, PRRX1, and SNTB1 as potential markers for meniscus tissue and ACTA2, TAGLN, SFRP2, and FSTL1 as novel markers for meniscus cell dedifferentiation. Our data contribute significantly to the current characterization of meniscus cells and provide an important foundation for future work in meniscus cell biology, regenerative medicine, and tissue engineering. [ABSTRACT FROM AUTHOR]

Conventional pre-genomics breeding methodologies have significantly improved crop yields since the mid-twentieth century. Genomics provides breeders with advanced tools for whole-genome study, enabling a direct genotype–phenotype analysis. This shift has led to precise and efficient crop development through genomics-based approaches, including molecular markers, genomic selection, and genome editing. Molecular markers, such as SNPs, are crucial for identifying genomic regions linked to important traits, enhancing breeding accuracy and efficiency. Genomic resources viz. genetic markers, reference genomes, sequence and protein databases, transcriptomes, and gene expression profiles, are vital in plant breeding and aid in the identification of key traits, understanding genetic diversity, assist in genomic mapping, support marker-assisted selection and speeding up breeding programs. Advanced techniques like CRISPR/Cas9 allow precise gene modification, accelerating breeding processes. Key techniques like Genome-Wide Association study (GWAS), Marker-Assisted Selection (MAS), and Genomic Selection (GS) enable precise trait selection and prediction of breeding outcomes, improving crop yield, disease resistance, and stress tolerance. These tools are handy for complex traits influenced by multiple genes and environmental factors. This paper explores new genomic technologies like molecular markers, genomic selection, and genome editing for plant breeding showcasing their impact on developing new plant varieties. [ABSTRACT FROM AUTHOR]

Interstitial lung disease (ILD) is a serious complication of connective tissue diseases (CTDs). The heterogeneity of ILDs reflects differences in pathogenesis among diseases. This study aimed to clarify the characteristics of CTD-ILDs via a detailed analysis of the bronchoalveolar lavage fluid (BALF) and blood immune cells. BALF and blood samples were collected from 39 Japanese patients with newly diagnosed ILD: five patients with Sjögren's syndrome (SS), eight patients with dermatomyositis (DM), six patients with rheumatoid arthritis (RA), six patients with systemic sclerosis, four patients with anti-neutrophil cytoplasmic antibody-associated vasculitis, and 10 patients with idiopathic interstitial pneumonia. We performed single-cell RNA sequencing to analyze the gene expression profiles in these patients' immune cells. In patients with SS, B cells in the BALF were increased and genes associated with the innate and acquired immunity were enriched in both the BALF and blood. In contrast, patients with DM showed an upregulation of genes associated with viral infection in both the BALF and blood. In patients with RA, neutrophils in the BALF tended to increase, and their gene expression patterns changed towards inflammation. These disease-specific characteristics may help us understand the pathogenesis for each disease and discover potential biomarkers. [ABSTRACT FROM AUTHOR]

Background: Recent studies have underscored the biological significance of RNA modifications in tumorigenicity and progression. However, the potential roles of RNA modifications in immune regulation and the formation of the tumor microenvironment (TME) in head and neck squamous carcinoma (HNSC) remain unclear. Methods: We collected 199 untreated HNSC samples and clinicopathological data from Fujian Provincial Cancer Hospital. MeRIP-seq and RNA-seq were performed to generate methylation and gene expression profiles, respectively. Consensus molecular subtyping was employed to identify prognosis-related genes and RNA modification patterns in HNSC. Experiments confirmed the potential oncogenic behavior influenced by key genes. Molecular subtypes were identified through consensus clustering and validated using external cohort validation sets. Results: Among the RNA modification-related genes, IGF2BP1 emerged as the most prognostic. HNSC patients were categorized into high and low IGF2BP1 expression groups. High-expressing patients exhibited poorer survival and reduced chemosensitivity, coupled with increased tumor mutational burden, low PD-L1 expression, and limited immune cell infiltration, indicative of aggressive disease. Analysis revealed two distinct RNA modification patterns associated with IGF2BP1 expression: biosynthetically intense type (BIT) and oncogenically active type (OAT), each characterized by distinct clinical features, outcomes, and biological pathways. In an independent immunotherapy cohort, BIT patients displayed enhanced immune responses and sustained clinical benefits. Conclusions: This study highlights the crucial link between RNA modification and TME diversity. Evaluating RNA modification in tumors improves our understanding of TME features and supports the development of effective immunotherapy strategies. [ABSTRACT FROM AUTHOR]

Macrophages are pivotal innate immune cells which exhibit high phenotypic plasticity and can exist in different polarization states dependent on exposure to external stimuli. Numerous methods have been employed to simulate macrophage polarization states to test their function in vitro. However, limited research has explored whether these polarization methods yield comparable populations beyond key gene, cytokine, and cell surface marker expression. Here, we employ an unbiased comprehensive analysis using data organized through the all RNA-seq and ChIP-seq sample and signature search (ARCHS4) database, which compiles all RNAseq data deposited into the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA). In silico analyses were carried out demonstrating that commonly employed macrophage polarization methods generate distinct gene expression profiles in macrophage subsets that remained poorly described until now. Our analyses confirm existing knowledge on broad macrophage polarization, while expanding nuanced differences between M2a and M2c subsets, suggesting non-interchangeable stimuli for M2a polarization. Furthermore, we characterize divergent gene expression patterns in M1 macrophages following standard polarization protocols, indicating significant subset distinctions. Consequently, equivalence cannot be assumed among polarization regimens for in vitro macrophage studies, particularly in simulating diverse pathogen responses. [ABSTRACT FROM AUTHOR]

Background: Irinotecan is a standard chemotherapeutic agent in small cell lung cancer (SCLC), however, as a common adverse reaction, diarrhea limits the use of irinotecan. Shengjiang Xiexin decoction (SXD) has been used in various gastrointestinal diseases in China two thousand years ago. We designed this clinical trial to supply more evidences on the use of SXD as prophylaxis for irinotecan-induced diarrhea, especially for high-risk population predicted by gene testing of uridine diphosphate glucuronosyl transferase 1A1 (UGT1A1). Methods: In this clinical trial, 120 patients with SCLC were recruited from six hospitals in China. They received two cycles of chemotherapy, meanwhile they were randomized to receive SXD or placebo for 14 days of oral administration in each cycle of chemotherapy. The primary outcome is the incidence of diarrhea. And secondary outcomes include the the degree of diarrhea and neutropenia, the number of chemotherapy cycles with diarrhea, first occurrence time and duration of diarrhea. To evaluate the effect of SXD on the intestine, a rat model with delayed-onset diarrhea induced by irinotecan was established, and the expression of inflammatory factors including IL-1β, IL-6 and TNF-α, anti-inflammatory factors including IL-10, TGF- β in jejunal tissue was detected by ELISA. Results: 101 patients (53 in SXD group, 48 in placebo group) completed the trial. The incidence of diarrhea in SXD group and placebo group were 26.42% (14/53) and 52.08% (25/48), respectively (P < 0.05), and the degree of diarrhea also had significant differences (P < 0.05). In UGT1A1 high-risk population, the incidence of diarrhea in two groups were 9.09% and 66.67% (P < 0.05), but there was no significant differences in UGT1A1 low-risk population. The incidence of neutropenia with degree 1–3 between two groups was 20.75% vs 20.83%, 13.21% vs 18.57%, 9.43% vs 20.83% (P < 0.05). No severe adverse events were reported in any group. And animal studies had shown SXD reduced content of IL-1β, IL-6, TNF-α, increased content of IL-10, TGF-β in jejunum tissue. Conclusions: SXD had a prophylactic effect in the diarrhea induced by irinotecan, especially for UGT1A1 high-risk population, and this effect from SXD appeared to be maintained the completion of chemotherapy schedule. The mechanism of action of SXD was related to the regulation of inflammatory factors. Trial registration Chinese Clinical Trial Register: ChiCTR1800018490. Registered on 20 September 2018. https://www.chictr.org.cn/showproj.html?proj=25250. The preliminary protocol of this clinical study has been published in the journal "Trials" in the form of protocol before this paper (Deng et al. in Trials 21:370, 2020). [ABSTRACT FROM AUTHOR]

Background: Esophageal Squamous Cell Carcinoma (ESCC) poses a significant health challenge in China due to its high incidence and mortality. Single-cell transcriptomics has transformed the approach to cancer research, allowing detailed analysis of cellular and molecular heterogeneity. The interaction between the transcription factor STAT1 and the tumor suppressor LHPP is crucial, potentially influencing cancer progression and therapeutic outcomes. Objective: This study aims to explore the molecular mechanisms and cellular dynamics underlying ESCC, with a focus on the role of transcription factors, particularly STAT1, and its regulatory relationship with LHPP, in the pathogenesis of ESCC. Methods: Utilizing single-cell transcriptomics data sourced from the public database GEO (GSE160269), we identified major cell types and their transcriptomic changes in ESCC patients. Differential gene expression profiles were examined to understand the dynamics of the tumor microenvironment (TME). A cohort of 21 ESCC patients was recruited to validate the findings. Furthermore, in ESCC cell lines, we validated the transcriptional regulatory relationship between STAT1 and LHPP. Results: Our analysis identified six major cell types within the ESCC microenvironment, revealing significant changes in cellular composition and gene expression profiles associated with tumorigenesis. Notably, a novel association between STAT1's regulatory role over LHPP was observed, suggesting a complex regulatory loop in ESCC pathogenesis. Elevated STAT1 and reduced LHPP expression were confirmed in patient samples with STAT1 negatively regulates LHPP expression at the promoter level; when the promoter binding motif regions were mutated, the transcriptional repression ability on LHPP was weakened. Conclusion: The study highlights STAT1 as a core regulator in ESCC, directly influencing LHPP expression. The findings offer novel insights into the molecular mechanisms driving ESCC, shedding light on the cellular alterations and gene regulation dynamics within the ESCC microenvironment. This research provides a foundation for developing targeted therapeutic strategies, potentially utilizing the STAT1-LHPP axis as a focal point in ESCC treatment and prognosis. [ABSTRACT FROM AUTHOR]

Translational research in toxicology has significantly benefited from transcriptomic profiling, particularly in drug safety. However, its application has predominantly focused on limited organs, notably the liver, due to resource constraints. This paper presents TransTox, an innovative AI model using a generative adversarial network (GAN) method to facilitate the bidirectional translation of transcriptomic profiles between the liver and kidney under drug treatment. TransTox demonstrates robust performance, validated across independent datasets and laboratories. First, the concordance between real experimental data and synthetic data generated by TransTox was demonstrated in characterizing toxicity mechanisms compared to real experimental settings. Second, TransTox proved valuable in gene expression predictive models, where synthetic data could be used to develop gene expression predictive models or serve as "digital twins" for diagnostic applications. The TransTox approach holds the potential for multi-organ toxicity assessment with AI and advancing the field of precision toxicology. [ABSTRACT FROM AUTHOR]

Studying the tumor microenvironment and surrounding lymph nodes is the main focus of current immunological research on soft tissue sarcomas (STS). However, due to the restricted opportunity to examine tumor samples, alternative approaches are required to evaluate immune responses in non-surgical patients. Therefore, the purpose of this study was to evaluate the peripheral immune profile of STS patients, characterize patients accordingly and explore the impact of peripheral immunotypes on patient survival. Blood samples were collected from 55 STS patients and age-matched healthy donors (HD) controls. Deep immunophenotyping and gene expression analysis of whole blood was analyzed using multiparametric flow cytometry and real-time RTqPCR, respectively. Using xMAP technology, proteomic analysis was also carried out on plasma samples. Unsupervised clustering analysis was used to classify patients based on their immune profiles to further analyze the impact of peripheral immunotypes on patient survival. Significant differences were found between STS patients and HD controls. It was found a contraction of B cells and CD4 T cells compartment, along with decreased expression levels of ICOSLG and CD40LG; a major contribution of suppressor factors, as increased frequency of M-MDSC and memory Tregs, increased expression levels of ARG1, and increased plasma levels of IL-10, soluble VISTA and soluble TIMD-4; and a compromised cytotoxic potential associated with NK and CD8 T cells, namely decreased frequency of CD56dim NK cells, and decreased levels of PRF1, GZMB, and KLRK1. In addition, the patients were classified into three peripheral immunotype groups: "immune-high," "immune-intermediate," and "immunelow." Furthermore, it was found a correlation between these immunotypes and patient survival. Patients classified as "immune-high" exhibited higher levels of immune-related factors linked to cytotoxic/effector activity and longer survival times, whereas patients classified as "immune-low" displayed higher levels of immune factors associated with immunosuppression and shorter survival times. In conclusion, it can be suggested that STS patients have a compromised systemic immunity, and the correlation between immunotypes and survival emphasizes the importance of studying peripheral blood samples in STS. Assessing the peripheral immune response holds promise as a useful method for monitoring and forecasting outcomes in STS. [ABSTRACT FROM AUTHOR]

Background: This study seeks to elucidate the expressions of lncRNA TSIX in Osteoarthritis (OA) and to explore its mechanisms in regulating OA progression. Methods: RT-qPCR was employed to analyze the expression of TSIX in OA patients classified by Kellgren-Lawrence (K-L) grades. Receiver operator characteristic (ROC) was conducted to evaluate the diagnostic value of TSIX. Correlation between TSIX levels and clinical scores such as Lysholm and visual analogue scale (VAS) score was evaluated using Pearson method. IL-1β-induced SW1353 cells served as an in vitro model. The cell function were assessed by flow cytometry and cell counting kit-8 (CCK-8) assay. The relationship between TSIX and miR-320a was verified by luciferase reporting system, while bioinformatics approaches were utilized to predict the downstream target genes of miR-320a. Results: The findings revealed that TSIX level in OA patients was elevated compared to that of the control group, with a notable progressive increase in TSIX expression correlated with higher K-L grades. In OA patients, the Lysholm score showed a negative correlation with TSIX expression, while the VAS score displayed a positive correlation with TSIX levels. Cell studies demonstrated that inhibition of TSIX enhanced cell viability and mitigated IL-1β-induced apoptosis by targeting miR-320a, in addition to promoting Aggrecan and Collagen II secretion. Luciferase reporter assay further validated the targeting interaction among TSIX, miR-320a, and PTEN. Conclusions: This study demonstrated an increased expression of TSIX in OA patients. It suggests that TSIX may play a role in chondrocyte dysfunction during OA by modulating the miR-320a/PTEN axis. [ABSTRACT FROM AUTHOR]

Abscisic acid (ABA) is a key plant hormone that regulates plant growth and response to stress. Pyrabactin resistance 1-like (PYR/PYL) proteins are ABA receptors involved in the initial steps of ABA signaling. Triticum monococcum L. subsp. aegilopoides is an important germplasm resource for wheat. In this study, we identified 15 PYL genes from T. monococcum L. subsp. aegilopoides and found that they were distributed across five chromosomes. Based on phylogenetic analysis, we classified these genes into three subfamilies. Members of each subfamily have similar gene structures and contain a common motif. Further analysis revealed that the promoters have multiple hormone-related elements. We found 7, 33, and 49 collinear gene pairs in three different ploidy wheat species (T. urartu, T. turgidum and T. aestivum), indicating that PYL genes are relatively conserved during the process of wheat polyploidization. Additionally, interaction networks and miRNA targets were predicted, revealing interactions between PYL proteins and key components of the abscisic acid signaling network. miR9666b-3p may serve as a central factor in PYL involvement in the abscisic acid network. Through RNA-seq analysis and qPCR validation, three genes (TbPYL2, TbPYL5, and TbPYL12) were found to potentially play a role in cold stress. These findings lay the groundwork for further research on PYL genes in T. monococcum L. subsp. aegilopoides. [ABSTRACT FROM AUTHOR]

Stem cells have shown great application potential in wound repair, tissue regeneration, and disease treatment. Therefore, a full understanding of stem cells and their related regulatory mechanisms in disease treatment is conducive to improving the therapeutic effect of stem cells. However, thus far, there are still many unsolved mysteries in the field of stem cells due to technical limitations, which hinder the in-depth exploration of stem cells and their wide clinical application. Single-cell sequencing (SCS) has provided very powerful and unbiased insights into cell gene expression profiles at the single-cell level, bringing exciting results to the stem cell field. At present, SCS has been widely applied in the field of stem cells, covering various aspects, including lineage tracing the development of stem cells, identifying new stem cell types, exploring cellular heterogeneity, and identifying internal functional subpopulations. In this paper, we focus on the latest research progress and discuss the application of SCS technology in stem cells. [ABSTRACT FROM AUTHOR]

Overall, gastric adenocarcinoma (GC) incidence rates have declined in recent years, but racial and ethnic disparities persist. Individuals who identify as Hispanic/Spanish/Latino are diagnosed with GC at younger ages and have poorer outcomes than non-Hispanic individuals. However, our understanding of GC biology across racial/ethnic groups remains limited. We assessed tumor genomic patterns by race/ethnicity among 1019 patients with primary GC in the American Association for Cancer Research (AACR) Project GENIE Consortium. Hispanic individuals presented with significantly higher rates of ERBB2/HER2 amplification vs other racial/ethnic groups (Hispanic: 13.9% vs 9.8% non-Hispanic White, 8.1% non-Hispanic Asian, and 11.0% non-Hispanic Black; P  < .001, FDR adjusted q < 0.001). Hispanic patients also had higher odds of an ERBB2 amplification vs non-Hispanic Whites in adjusted models (OR = 2.52, 95%CI = 1.20 to 5.33, P  = .015). These findings underscore the important role of genomic factors in GC disparities. Ensuring equitable access to genomic profiling and targeted therapies, such as trastuzumab for HER2 -overexpressing GC, is a promising avenue to mitigate GC disparities and improve outcomes. [ABSTRACT FROM AUTHOR]

In multiple myeloma (MM), while frequent mutations in driver genes are crucial for disease progression, they traditionally offer limited insights into patient prognosis. This study aims to enhance prognostic understanding in MM by analyzing pathway dysregulations in key cancer driver genes, thereby identifying actionable gene signatures. We conducted a detailed quantification of mutations and pathway dysregulations in 10 frequently mutated cancer driver genes in MM to characterize their comprehensive mutational impacts on the whole transcriptome. This was followed by a systematic survival analysis to identify significant gene signatures with enhanced prognostic value. Our systematic analysis highlighted 2 significant signatures, TP53 and LRP1B, which notably outperformed mere mutation status in prognostic predictions. These gene signatures remained prognostically valuable even when accounting for clinical factors, including cytogenetic abnormalities, the International Staging System (ISS), and its revised version (R-ISS). The LRP1B signature effectively distinguished high-risk patients within low/intermediate-risk categories and correlated with significant changes in the tumor immune microenvironment. Additionally, the LRP1B signature showed a strong association with proteasome inhibitor pathways, notably predicting patient responses to bortezomib and the progression from monoclonal gammopathy of unknown significance to MM. Through a rigorous analysis, this study underscores the potential of specific gene signatures in revolutionizing the prognostic landscape of MM, providing novel clinical insights that could influence future translational oncology research. [ABSTRACT FROM AUTHOR]

Background TROP2 (TACSTD2) expression is associated with decreased overall survival (OS) in some solid tumors, and the TROP2-targeting antibody-drug conjugate (ADC) sacituzumab govitecan has been approved in breast and urothelial carcinomas. We aimed to explore the multi-omic landscape associated with TACSTD2 gene expression in various solid tumors to identify patients most likely to benefit from this approach. Methods Breast (N  = 11 246), colorectal (N  = 15 425), hepatocellular (N  = 433), pancreatic (N  = 5488), and urothelial (N  = 4125) tumors were stratified into quartiles by TACSTD2 gene expression, analyzed by next-generation DNA sequencing, whole transcriptome sequencing, and immunohistochemistry at Caris Life Sciences (Phoenix, AZ). Survival data were obtained from insurance claims, and Kaplan-Meier estimates were calculated for molecularly defined cohorts. Results Several pathogenic mutations were associated with TACSTD2 -high tumors, including TP53 in breast, colorectal (CRC), pancreatic, and hepatocellular cancers; KRAS in pancreatic and CRC cancers; ARID1A and FGFR3 in urothelial cancer; and CTNNB1 in hepatocellular cancer. TACSTD2-low breast tumors were enriched for copy number amplifications in CCND1 and FGF/R family member genes. TACSTD2 high was generally associated with more immune cell infiltration and greater T-cell inflammation scores. Patients with TACSTD2 -high breast, CRC, and pancreatic cancers demonstrated a significantly shorter OS than TACSTD2 -low tumors. This was restricted to CRC with microsatellite stable tumors and patients with pancreatic cancer with KRAS -mutant tumors. Patients with breast cancer with TACSTD2 -high tumors also experienced significantly worse OS following immune checkpoint inhibitors. Conclusions TACSTD2 expression is associated with key driver alterations and a more active immune microenvironment, suggesting possible combinatorial strategies with TROP2-targeting ADCs plus immunotherapy in various solid tumors. [ABSTRACT FROM AUTHOR]

Simple Summary: Approximately 30% of acute myeloid leukemias are genetically defined by alteration in the FMS-like tyrosine kinase 3 (FLT3). Tyrosine kinase inhibitors targeting FLT3 improved the prognosis of patients with AML but also increased infection rates. Dendritic cells are professional antigen-presenting cells inducing robust immune responses. Therefore, we investigated the immunomodulatory effect of three different FLT3 inhibitors, midostaurin, gilteritinib and quizartinib, on normal dendritic cells in vitro. In this study, we unveil the immunosuppressive effect of midostaurin on DCs by flow cytometry, RNA sequencing and western blotting. The effect of gilteritinib was less pronounced, while quizartinib exerted almost no immunosuppression. Our data may provide an explanation for increased infection rates observed in clinical trials and will help to choose the optimal compound for therapy. Background: FMS-like tyrosine kinase 3 (FLT3) mutations or internal tandem duplication occur in 30% of acute myeloid leukemia (AML) cases. In these cases, FLT3 inhibitors (FLT3i) are approved for induction treatment and relapse. Allogeneic hematopoietic stem cell transplantation (alloHSCT) remains the recommended post-induction therapy for suitable patients. However, the role of FLT3i therapy after alloHSCT remains unclear. Therefore, we investigated the three currently available FLT3i, gilteritinib, midostaurin, and quizartinib, in terms of their immunosuppressive effect on dendritic cells (DCs). DCs are professional antigen-presenting cells inducing T-cell responses to infectious stimuli. Highly activated DCs can also cause complications after alloHSCT, such as triggering Graft versus Host disease, a serious and potentially life-threatening complication after alloHSCT. Methods: To study the immunomodulatory effects on DCs, we differentiated murine and human DCs in the presence of FLT3i and performed immunophenotyping by flow cytometry and cytokine measurements and investigated gene and protein expression. Results: We detected a dose-dependent immunosuppressive effect of midostaurin, which decreased the expression of costimulatory markers like CD86, and found a reduced secretion of pro-inflammatory cytokines such as IL-12, TNFα, and IL-6. Mechanistically, we show that midostaurin inhibits TLR and TNF signaling and NFκB, PI3K, and MAPK pathways. The immunosuppressive effect of gilteritinib was less pronounced, while quizartinib did not show truncation of relevant signaling pathways. Conclusions: Our results suggest different immunosuppressive effects of these three FLT3i and may, therefore, provide an additional rationale for optimal maintenance therapy after alloHSCT of FLT3-positive AML patients to prevent infectious complications and GvHD mediated by DCs. [ABSTRACT FROM AUTHOR]

Simple Summary: Head and neck squamous cell carcinoma (HNSCC) is a deadly form of cancer, affecting areas like the mouth, throat, and larynx. This review explores the complex molecular pathways involved in HNSCC development and progression, focusing on the role of microRNAs (miRNAs)—small molecules that regulate gene expression. We aim to provide a comprehensive overview of how miRNAs influence HNSCC, their potential as diagnostic and prognostic markers, and their use in developing new targeted therapies. We also discuss promising nanotechnology-based approaches for delivering miRNA therapies more effectively. By synthesizing the current knowledge on miRNAs in HNSCC, this research may help identify new biomarkers for early detection and prognosis, as well as novel therapeutic targets. Ultimately, these insights could lead to improved personalized treatments and better outcomes for HNSCC patients. This paper presents a comprehensive comparative analysis of biomarkers for head and neck cancer (HNC), a prevalent but molecularly diverse malignancy. We detail the roles of key proteins and genes in tumourigenesis and progression, emphasizing their diagnostic, prognostic, and therapeutic relevance. Our bioinformatic validation reveals crucial genes such as AURKA, HMGA2, MMP1, PLAU, and SERPINE1, along with microRNAs (miRNA), linked to HNC progression. OncomiRs, including hsa-miR-21-5p, hsa-miR-31-5p, hsa-miR-221-3p, hsa-miR-222-3p, hsa-miR-196a-5p, and hsa-miR-200c-3p, drive tumourigenesis, while tumour-suppressive miRNAs like hsa-miR-375 and hsa-miR-145-5p inhibit it. Notably, hsa-miR-155-3p correlates with survival outcomes in addition to the genes RAI14, S1PR5, OSBPL10, and METTL6, highlighting its prognostic potential. Future directions should focus on leveraging precision medicine, novel therapeutics, and AI integration to advance personalized treatment strategies to optimize patient outcomes in HNC care. [ABSTRACT FROM AUTHOR]

Simple Summary: Cutaneous melanoma is a malignancy of melanocytes with increasing global incidence. While most early-stage cases have favorable outcomes, melanomas can unexpectedly progress, highlighting the need for better risk prediction methods. This review examined the 31-gene expression profile (31-GEP) test, which analyzes the activity of 31 genes in melanoma tumors to predict the risk of metastasis. Data from multiple studies was systematically reviewed and analyzed to assess the 31-GEP test's efficacy in predicting melanoma patient outcomes. Our findings suggest that the 31-GEP test may improve risk prediction when used alongside standard clinical and pathological assessments. By using 31-GEP, physicians may be better able to make more informed decisions about treatment and follow-up care, potentially improving outcomes for melanoma patients. Background: Cutaneous melanoma is an increasingly common and potentially lethal form of skin cancer. Current staging systems based on clinical and pathological features have limitations in accurately predicting outcomes, particularly for early-stage disease. The 31-gene expression profile (31-GEP) test has emerged as a promising tool for improving risk stratification in melanoma patients. Methods: We conducted a systematic review and meta-analysis of studies evaluating the prognostic performance of the 31-GEP test in cutaneous melanoma. A comprehensive literature search was performed in multiple databases. Studies reporting survival outcomes stratified by 31-GEP class were included. Random-effects models were used to determine survival estimates across studies. Results: Thirteen studies comprising 14,760 patients were included in the meta-analysis. The 31-GEP test consistently stratified patients into risk groups with significantly different outcomes. The 5-year melanoma-specific survival rates were 99.8% (95% CI: 98–100%) for Class 1A, 97.6% (95% CI: 92.4–99.3%) for Class 1B/2A, and 83.4% (95% CI: 66.5–92.7%) for Class 2B. Similar trends were observed for recurrence-free and distant metastasis-free survival. Conclusions: This meta-analysis supports the prognostic utility of the 31-GEP test in cutaneous melanoma prognostication. The test consistently stratified patients into clinically meaningful risk groups across multiple survival metrics. These findings support the potential clinical utility of the 31-GEP test in enhancing current staging systems and informing personalized management strategies for melanoma patients. [ABSTRACT FROM AUTHOR]

Simple Summary: CD59 prevents the formation of membrane attack complex, enabling tumor cells to escape complement-mediated cytotoxicity. It appears that the expression of CD59 significantly impacts survival outcomes due to its interaction with immune cells. The associations between CD59 and immune suppressive cells such as T-regulatory cells, myeloid derived suppressor cells, and macrophage create an immune suppressive environment in cervical, brain, head and neck, and stomach cancers. However, kidney cancer has less or no association, leading to better survival outcomes. Thus, assessing the levels of CD59 and its immune cell associations is crucial as it plays a predictive role in deciding prognostic outcomes. Background: CD59, a GPI-anchored membrane protein, protects cancer cells from complement-dependent cytotoxicity (CDC) by inhibiting the formation of the membrane attack complex (MAC). It has been demonstrated to be overexpressed in most solid tumors, where it facilitates tumor cell escape from complement surveillance. The role of CD59 in cancer growth and interactions between CD59 and immune cells that modulate immune evasion has not been well explored. Methods: Using cancer patient database from The Cancer Genome Atlas (TCGA) and other public databases, we analyzed CD59 expression, its prognostic significance, and its association with immune cell infiltration in the tumor microenvironment, identifying associated genomic and functional networks and validating findings with invitro cell-line experimental data. Results: This article describes the abundant expression of CD59 in multiple tumors such as cervical squamous cell carcinoma (CESC), kidney renal cell carcinoma (KIRC), glioblastoma multiforme (GBM), head and neck squamous cell carcinoma (HNSC), and stomach adenocarcinoma (STAD), as well as in pan-cancer, using The Cancer Genome Atlas (TCGA) database and confirmed using multiple cancer cell lines. The expression of CD59 significantly alters the overall survival (OS) of patients with multiple malignancies such as CESC, GBM, HNSC, and STAD. Further, the correlation between CD59 and Treg and/or MDSC in the tumor microenvironment (TME) has shown to be strongly associated with poor outcomes in CESC, GBM, HNSC, and STAD as these tumors express high FOXP3 compared to KIRC. Moreover, unfavorable outcomes were strongly associated with the expression of CD59 and M2 tumor-associated macrophage infiltration in the TME via the IL10/pSTAT3 pathway in CESC and GBM but not in KIRC. In addition, TGFβ1-dominant cancers such as CESC, GBM, and HNSC showed a high correlation between CD59 and TGFβ1, leading to suppression of cytotoxic T cell activity. Conclusion: Overall, the correlation between CD59 and immune cells predicts its prognosis as unfavorable in CESC, GBM, HNSC, and STAD while being favorable in KIRC. [ABSTRACT FROM AUTHOR]

Simple Summary: While tumor cell invasion beyond the surgically resectable "margin" of glioblastoma is thought to be associated with nearly 100% of recurrences and poor survival, no reliable methods exist for mapping the location of invading tumor cells within the human brain. Building on prior work demonstrating the ability of Q-space magnetic resonance imaging (QSI) to highlight structural alterations in tissue architecture, we hypothesized that using this imaging method to construct tumor-associated tractography might identify tumor-specific structures that underlie cellular invasion. Our results demonstrate that such tractography patterns can be observed in a tumor-specific manner, and provide preliminary evidence that those patterns may colocalize with invading tumor cells, and metrics derived from them may be associated with patient survival time. Background: The invasion of glioblastoma cells beyond the visible tumor margin depicted by conventional neuroimaging is believed to mediate recurrence and predict poor survival. Radiomic biomarkers that are associated with the direction and extent of tumor infiltration are, however, non-existent. Methods: Patients from a single center with newly diagnosed glioblastoma (n = 7) underwent preoperative Q-space magnetic resonance imaging (QSI; 3T, 64 gradient directions, b = 1000 s/mm2) between 2018 and 2019. Tumors were manually segmented, and patterns of inter-voxel coherence spatially intersecting each segmentation were generated to represent tumor-associated tractography. One patient additionally underwent regional biopsy of diffusion tract- versus non-tract-associated tissue during tumor resection for RNA sequencing. Imaging data from this cohort were compared with a historical cohort of n = 66 glioblastoma patients who underwent similar QSI scans. Associations of tractography-derived metrics with survival were assessed using t-tests, linear regression, and Kaplan–Meier statistics. Patient-derived glioblastoma xenograft (PDX) mice generated with the sub-hippocampal injection of human-derived glioblastoma stem cells (GSCs) were scanned under high-field conditions (QSI, 7T, 512 gradient directions), and tumor-associated tractography was compared with the 3D microscopic reconstruction of immunostained GSCs. Results: In the principal enrollment cohort of patients with glioblastoma, all cases displayed tractography patterns with tumor-intersecting tract bundles extending into brain parenchyma, a phenotype which was reproduced in PDX mice as well as in a larger comparison cohort of glioblastoma patients (n = 66), when applying similar methods. Reconstructed spatial patterns of GSCs in PDX mice closely mirrored tumor-associated tractography. On a Kaplan–Meier survival analysis of n = 66 patients, the calculated intra-tumoral mean diffusivity predicted the overall survival (p = 0.037), as did tractography-associated features including mean tract length (p = 0.039) and mean projecting tract length (p = 0.022). The RNA sequencing of human tissue samples (n = 13 tumor samples from a single patient) revealed the overexpression of transcripts which regulate cell motility in tract-associated samples. Conclusions: QSI discriminates tumor-specific patterns of inter-voxel coherence believed to represent white matter pathways which may be susceptible to glioblastoma invasion. These findings may lay the groundwork for future work on therapeutic targeting, patient stratification, and prognosis in glioblastoma. [ABSTRACT FROM AUTHOR]

Simple Summary: Understanding neural crest stem cells as the cells of origin for a series of tumors expands the potential strategies for treatment, especially for rare tumor types. The shared properties and signatures of stem-like tumor cells, also called cancer stem cells (CSCs), are reviewed for neural crest-originated tumors. Scrutinizing the relationship between neural crest stem cells and CSCs in NF1-associated tumors can allow for earlier detection and treatment in NF1 patients. Previously identified CSC markers can be the key to NF1 tumor pathogenesis and therapeutic targets. Targeting CD44, for example, can potentially reduce CSC-related tumor progression, relapse, and even metastasis. This review delineates the reported CSCs in tumors of neural crest origin and highlights their potential relevance in NF1-associated tumors. Neurofibromatosis type 1 (NF1) is a genetic disorder that predisposes individuals to develop benign and malignant tumors of the nerve sheath. Understanding the signatures of cancer stem cells (CSCs) for NF1-associated tumors may facilitate the early detection of tumor progression. Background: Neural crest cells, the cell of origin of NF1-associated tumors, can initiate multiple tumor types, including melanoma, neuroblastoma, and schwannoma. CSCs within these tumors have been reported; however, identifying and targeting CSC populations remains a challenge. Results: This study aims to leverage existing studies on neural crest-derived CSCs to explore markers pertinent to NF1 tumorigenesis. By focusing on the molecular and cellular dynamics within these tumors, we summarize CSC signatures in tumor maintenance, progression, and treatment resistance. Conclusion: A review of these signatures in the context of NF1 will provide insights into NF1 tumor biology and pave the way for developing targeted therapies and improving treatment outcomes for NF1 patients. [ABSTRACT FROM AUTHOR]

Simple Summary: Our study examined PD-L1 expression in advanced Thyroid Cancer (TC) and its relationship with histological subtypes, molecular mutations, and progression-free survival (PFS). Analyzing data from 176 patients with advanced TC, our study found significant variability in PD-L1 expression with Oncocytic Thyroid Cancer (OTC) and Anaplastic Thyroid Cancer (ATC) exhibiting the highest frequencies of PD-L1 expression, while Medullary TC (MTC) and Papillary TC Follicular Variant (PTCFV) did not show any PD-L1 expression. Notably, PD-L1 positivity correlated with shorter progression-free survival (PFS) in ATC and was associated with TP53 mutation. These findings suggest that PD-L1 expression, combined with genetic profiling could inform personalized immunotherapy strategies for aggressive forms of TC, emphasizing the need for further research to validate these biomarkers and enhance treatment efficacy. Background: Thyroid cancer (TC) remains a significant clinical challenge worldwide, with a subset of patients facing aggressive disease progression and therapeutic resistance. Immune checkpoint inhibitors targeting programmed death-ligand 1 (PD-L1) have emerged as promising therapeutic approaches for various malignancies, yet their efficacy in TC remains uncertain. The objective of this study was to investigate PD-L1 expression in aggressive TC and its association with histological subtypes, molecular mutation, and progression-free survival. Methods: This is a retrospective study of patients with advanced TC seen in two tertiary health care centers. Included in this study were patients with advanced TC with recurrence or progression on therapy for whom tumor molecular profiling and PD-L1 status were available. Kaplan–Meier estimators were utilized to analyze the progression-free survival (PFS) between patients with PD-L1 positive and negative status in Anaplastic TC (ATC) subgroup. Results: A total of 176 patients with advanced thyroid cancer were included (48.9% female). Of the patients, 13 had ATC, 11 Medullary TC (MTC), 81 Papillary TC Classic Variant (PTCCV), 20 Follicular TC (FTC), 8 Oncocytic TC (OTC), 10 Poorly Differentiated TC (PDTC), and 30 had the Papillary TC Follicular Variant (PTCFV). BRAF mutation was present in 41%, TERT in 30%, RAS in 19%, TP53 in 10%, and RET in 8.6% of patients. PD-L1 positivity was significantly different across different TC types and histological subtypes (p < 0.01): Patients with OTC had the highest frequency of PD-L1 positivity (71%), followed by ATC (69%), PTCCV (28.5%), and FTC (11%). Patients with MTC and PTCFV did not exhibit any PD-L1 positivity. TP53 mutation was positively associated with PD-L1 expression (21.6% vs. 7.5%, p = 0.03), and RAS mutation was negatively associated with PD-L1 expression (8.1% vs. 24.2% p = 0.04). Among patients with ATC, positive PD-L1 expression was associated with lower PFS (p = 0.002). Conclusions: PD-L1 expression varies across different TC types and histological subtypes and may be modulated by the mutational landscape. PD-L1 expression in ATC is associated with shorter PFS. Follow up studies are warranted to elucidate the molecular mechanism driving the observed differences in immune pathways, potentially paving the way for the development of more effective and personalized immune therapies for patients with aggressive TC. [ABSTRACT FROM AUTHOR]

Simple Summary: This study reports the results of genetic testing to identify germline variants in the main genes (APC, BMPR1A, MUTYH, PTEN, SMAD4, STK11) associated with hereditary polyposis syndromes in 75 index cases with colorectal polyps and a personal/family history of cancer that had been referred to genetic counseling at the Medical Genetics Unit of the National Institute of Gastroenterology "Saverio de Bellis", Castellana Grotte, Bari, Italy. In the screened patients, some of which did not meet the recommended eligibility criteria of current National Comprehensive Cancer Network (NCCN) guidelines for genetic testing, we identified 14 pathogenic variants and 6 variants of uncertain significance. Of note, by combining the results of multigene panel tests with the evaluation of patients' clinical phenotype and family history, we were able to confirm the diagnosis of hereditary polyposis syndrome for pathogenic variant carriers and assign them to specific clinical surveillance and management programs. Background: Hereditary polyposis syndromes are clinically and genetically heterogeneous conditions associated with increased colorectal cancer risk. They are classified based on polyp histology, inheritance mode, causal gene, and colonic and extracolonic manifestations. Their diagnosis is challenging due to overlapping and heterogeneous clinical presentations. Methods: A multigene next-generation sequencing panel was used to screen 75 index cases with colorectal polyps and a personal/family history of cancer for key hereditary polyposis-associated genes (APC, BMPR1A, MUTYH, PTEN, SMAD4, and STK11) in order to identify germline genetic variants. Results: In the screened index cases, we found 14 pathogenic variants involving APC, MUTYH, SMAD4, and STK11 and 6 variants of uncertain significance involving APC, BMPR1A, and SMAD4. In this cohort, four patients not fulfilling the recommended eligibility criteria of current National Comprehensive Cancer Network (NCCN) guidelines for genetic testing were molecularly diagnosed with a hereditary polyposis syndrome. Conclusions: Our findings indicate that stringent NCCN eligibility criteria for molecular screening may lead to missing some of the patients affected by hereditary polyposis syndromes. This highlights the need for a careful evaluation of patients' clinical manifestations, polyp number, age of polyp onset, and family history to select appropriate candidates for molecular diagnosis of these conditions. [ABSTRACT FROM AUTHOR]

Simple Summary: The standard of care for most women with advanced ovarian cancer is primary cytoreduction followed by platinum-based chemotherapy and paclitaxel. However, the use of neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) and adjuvant chemotherapy is not inferior, according to prospective randomized trials. Ovarian cancer has a low mutational load but exhibits a high detection rate of molecular alterations in various genes. It remains unclear whether this is an intrinsic feature of ovarian cancer or if it is due to the administration of a platinum combination during NACT. Our study aimed to determine whether NACT affects the tumor's molecular profile. Any modifications in these areas would need to be identified in the initial therapeutic planning, especially in the era of poly (ADP-ribose) polymerase (PARP) inhibitors. Background: Neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) and adjuvant chemotherapy is a therapeutic choice for women with advanced ovarian cancer. Whether NACT affects the tumor's molecular profile has not been determined. Methods: This was a retrospective study of patients with advanced-stage epithelial ovarian cancer treated with NACT at oncology departments affiliated with the Hellenic Cooperative Oncology Group (HeCOG). Tumor molecular profiling was performed on formalin-fixed and paraffin-embedded (FFPE) tumor pre- and post-NACT tissues. Homologous recombination deficiency (HRD), tumor-infiltrating lymphocytes (TILs), tumor molecular alterations, and tumor mutational burden (TMB) via next-generation sequencing analysis were assessed. Results: Overall, tumors from 36 patients were assessed, and molecular profiling was evaluated in 20 paired tumor samples. HRD positivity exhibited no significant change between pre- and post-NACT tumors. The BRCA1/2 mutational status remained constant, irrespective of the treatment administration. Pre-NACT tumors tended to exhibit a lower percentage of intratumoral TILs compared to post-NACT tumors (p = 0.004). Differences in the mutation profile between pre- and post-treatment tissue were observed in 33.33% (6/18) of the cases. The mean tumor cell content (TCC) (p-value: 0.0840) and the mean genomic instability score (p-value: 0.0636) decreased slightly numerically after therapy. A moderate inverse relationship was observed between the pre-NACT TMB and the chemotherapy response score (p-value: 0.038), indicating this correlation is statistically significant. Conclusion: This study provides insights into the effect of NACT on the tumor molecular landscape. While BRCA1/2 and HRD status remained stable, an increase in TIL proportion and changes in the mutational profiles were observed post-treatment. [ABSTRACT FROM AUTHOR]

Simple Summary: Endometrial cancer is an important problem and is among the leading causes of reproductive system cancer in women. Every year, the number of cases of the disease only increases, and a high mortality rate from this disease is also recorded. The risk stratification of patients with endometrial carcinoma is based on the severity of the oncological process progression, which makes it necessary to study new diagnostic methods for the more accurate determination of lymph node involvement. Currently, new medical–genetic factors, which may be relevant for assessing the risk of metastasis and disease progression, are actively being studied. Candidate genes, microRNA, and other various biomarkers are being studied, promising the benefit of choosing more effective treatments. Background: According to epidemiological studies, endometrial carcinoma is one of the most frequently diagnosed malignancies of the female reproductive system, with an increasing incidence. Currently, the risk stratification of this neoplasm takes into account the stage, degree of tumor differentiation, histological type and depth of myometrial invasion. Since the publication of the last International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer in 2009, numerous reports have appeared on the molecular characteristics of different types of endometrial carcinoma. Taking this into account, the FIGO Committee determined in 2023 that changes and updates to the staging system are justified to reflect new information about this tumor. Due to the high prevalence of the disease and mortality from endometrial cancer, an in-depth study of the molecular genetic characteristics of tumor cells is relevant; the results of such studies can be used to improve the efficiency of diagnosis, assess the risk of metastasis and prognosis of the disease. Lymph node assessment is crucial for the choice of treatment strategy for endometrial cancer, since metastatic lymph node involvement is one of the main factors affecting prognosis. At the same time, the criteria for the appropriateness of lymphadenectomy in low-differentiated malignant tumors are not clearly defined. Various molecular methods have been proposed to assess the status of lymph nodes; candidate genes are being studied as potential diagnostic biomarkers, as well as microRNA. The aim of the study was to analyze the literature data on numerous studies of molecular risk factors for progression in endometrioid carcinoma, as well as to preserve the most important marker changes in relation to the prognostic development of this disease. Methods: A literature review was conducted using data from the electronic databases PubMed, Google Scholar, and Wiley Cochrane Library for the period from 2018 to 2023 using the specific keywords. Results: The current scientific genetic studies on metastasis and prognostic factors in uterine cancer were analyzed, and a systematization of the reviewed data from the modern literature was done. Conclusions: To select the most effective treatment - intraoperative, adjuvant or combination therapy, minimize postoperative risks of lymphadenectomy and clearly predict the results - further study of the molecular genetic features of endometrial cancer is necessary. [ABSTRACT FROM AUTHOR]

Honeybee larvae and pupae form the cornerstone of colony survival, development, and reproduction. Azoxystrobin is an effective strobilurin fungicide that is applied during the flowering stage for controlling plant pathogens. The contaminated nectar and pollen resulting from its application are collected by forager bees and impact the health of honeybee larvae and pupae. The current study evaluated the survival, development, and physiological effects of azoxystrobin exposure on the larvae and pupae of Apis mellifera worker bees. The field-recommended concentrations of azoxystrobin were found to suppress the survival indices and lifespan in the larval as well as pupal stages; moreover, the rates of the survival and pupation of larvae as well as the body weights of the pupae and newly-emerged adult bees were significantly reduced upon long-term exposure to azoxystrobin. In addition, azoxystrobin ingestion induced changes in the expression of genes critical for the development, immunity, and nutrient metabolism of larvae and pupae, although the expression profile of these genes differed between the larval and pupal stages. Results indicated the chronic toxicity of azoxystrobin on the growth and development of honeybee larvae and pupae, which would affect their sensitivity to pathogens and other external stresses during the development stage and the study will provide vital information regarding the pollination safety and rational use of pesticides. [ABSTRACT FROM AUTHOR]

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease with limited effective therapies. Interstitial macrophages (IMs), especially those derived from monocytes, play an unknown role in IPF pathogenesis. By using single-cell RNA sequencing (scRNA-seq), bleomycin (BLM)-induced pulmonary fibrosis mouse lungs were analyzed to characterize the cellular landscape and heterogeneity of macrophages in this model. scRNA-seq was used to identify distinct interstitial macrophage subpopulations in fibrotic lungs, with monocyte-derived macrophages exhibiting a pro-fibrotic gene expression profile enriched in wound healing, extracellular matrix (ECM) remodeling, and pro-fibrotic cytokine production functions. A pseudotime analysis revealed that IMs originated from monocytes and differentiated along a specific trajectory. A cell–cell communication analysis demonstrated strong interactions between monocyte-derived interstitial macrophages (Mo-IMs) and fibroblasts through the transforming growth factor beta (TGFβ), secreted phosphoprotein 1 (SPP1), and platelet-derived growth factor (PDGF) signaling pathways. Flow cytometry validated the presence and expansion of Mo-IMs subpopulations in BLM-treated mice. This study reveals the cellular heterogeneity and developmental trajectory of lung macrophages in early BLM-induced pulmonary fibrosis, highlighting the crucial role of Mo-IMs with a pro-fibrotic phenotype in IPF pathogenesis via interactions with fibroblasts. Targeting these specific macrophage subpopulations and associated signaling pathways may provide novel therapeutic strategies for IPF. [ABSTRACT FROM AUTHOR]

Alcohol use disorder's complexity arises from genetic and environmental factors, with alcohol metabolism genes and neurotransmitter pathways being critical. This study aims to analyze synaptic plasticity gene expression changes in individuals with AUD in order to study their contribution to AUD development and to identify potential biomarkers of treatment response. RNA was extracted from whole peripheral blood (20 patients, 10 healthy controls), before and after treatment (Qiagen AllPrep RNA/DNA Mini Kit), and the gene expression of 84 genes related to neuroplasticity was studied using the RT2 Profiler for Human Synaptic Plasticity RT-PCR Array (PAHS-126ZA, Qiagen), comparing AUD patients to control and responders to non-responders. The potential prognostic/predictive biomarkers were searched using machine learning models. A total of 35 dysregulated genes were found in AUD patients. EPHB2, EGR, and AKT1 were increased, while TIMP1, NCAM1, and GRM2 were decreased. Responders showed distinct gene expression profiles at baseline. After treatment, the expression of 57 genes was normalized, while NCAM1, GRM2, and BDNF showed the most significant recovery. EGR4, INHBA, and NCAM1 emerged as potential biomarkers to predict treatment success. These results indicate that gene profiles in peripheral blood can serve as prognostic markers for the prognosis and treatment of AUD, although further validation is required. [ABSTRACT FROM AUTHOR]

The article focuses on the challenges faced by oncologists in keeping up with the rapid advancements in molecular testing and its integration into clinical practice. Topics include the role of molecular diagnostics in cancer treatment, the importance of circulating tumor DNA (ctDNA) in early detection and therapy selection, and the practical challenges related to the adoption of molecular testing, such as educational gaps and reimbursement issues.

PURPOSE: Precision therapies and immunotherapies have revolutionized cancer care, with novel genomic biomarker-associated therapies being introduced into clinical practice rapidly, resulting in notable gains in patient survival. Despite this, there is significant variability in the utilization of tumor molecular profiling that spans the timing of test ordering, comprehensiveness of gene panels, and clinical decision support through therapy and trial recommendations. METHODS: To standardize testing, we designed a pathologist-directed test ordering system at the time of diagnosis using a 523-gene DNA/RNA hybrid comprehensive genomic profiling (CGP) panel and extensive clinical decision support tools. To comprehensively characterize the clinical impact of this protocol, we developed a novel natural language processing (NLP)–based approach to extract clinical features from physician chart notes. We assessed test actionability rates, therapy choice, and outcomes across a set of 3,216 patients with advanced cancer. RESULTS: We observed 49% of patients had at least one actionable genomic biomarker-driven–approved and/or guideline-recommended targeted or immunotherapy (IO) and 53% of patients would have been eligible for a precision therapy clinical trial from three large basket trials. When assessing CGP versus an in silico 50-gene panel, 67% of tumors compared with 33% harbored actionable alterations including clinical trials. Among patients with 6 months or more of follow-up, over 52% received a targeted therapy (TT) or IO, versus 32% who received conventional chemotherapy alone. Furthermore, patients receiving TT had significantly improved overall survival compared with patients receiving chemotherapy alone (P <.001). CONCLUSION: Overall, these data represent a major shift in standard clinical practice toward molecularly guided treatments (targeted and immunotherapies) over conventional systemic chemotherapy. As guidelines continue to evolve and more precision therapeutics gain approval, we expect this gap to continue to widen. Current utilization patterns for tumor genomic testing are highly variable because of a variety of factors including lack of access and socioeconomic barriers. Here, we developed a program to attempt to remove many of these barriers and provide genomic testing rapidly as possible. Evaluating results over a multiyear period, we found around half of the patients tested with comprehensive genomic profiling had an actionable biomarker. Tested patients also received precision therapies at a higher rate than conventional chemotherapy alone, which was associated with higher overall survival across the real-world cohort. [ABSTRACT FROM AUTHOR]

Over the next few years, the analysis of circulating tumor DNA (ctDNA) through liquid biopsy is expected to enter clinical practice and revolutionize the approach to biomarker testing and treatment selection in GI cancers. In fact, growing evidence support the use of ctDNA testing as a noninvasive, effective, and highly specific tool for molecular profiling in GI cancers. Analysis of blood ctDNA has been investigated in multiple settings including early tumor detection, minimal residual disease evaluation, tumor diagnosis and evaluation of prognostic/predictive biomarkers for targeted treatment selection, longitudinal monitoring of treatment response, and identification of resistance mechanisms. Here, we review the clinical applications, advantages, and limitations of ctDNA profiling for precision oncology in GI cancers. [ABSTRACT FROM AUTHOR]

Neofusicoccum laricinum is the causal agent of larch shoot blight, a fungal disease affecting several species of larch. It causes severe damage, including stunting and mortality. This study aims to address the severe impact of larch shoot blight by evaluating the effect of farrerol on the inhibition of Neofusicoccum laricinum in Larix olgensis. We used LC-MS/MS and weighted gene co-expression network analysis to investigate farrerol's effects on Neofusicoccum laricinum and identify associated genes in resistant and susceptible larch. Our study identified significant differences in metabolite profiles between resistant and susceptible cultivars, with higher concentrations of farrerol showing complete inhibition of N. laricinum. Additionally, specific genes associated with farrerol content were up-regulated in resistant larch. Farrerol at higher concentrations completely inhibited N. laricinum, showing a strong correlation with increased disease resistance. This research suggests that farrerol enhances disease resistance in larch and provides a foundation for developing disease-resistant larch varieties based on antifungal metabolite traits. [ABSTRACT FROM AUTHOR]

High stemness index scores are associated with poor survival in patients with lung cancer. Studies on the mRNA expression-based stemness index (mRNAsi) are typically conducted using tumor tissues; however, mRNAsi-related expression signatures based on cell-free RNA (cfRNA) are yet to be comprehensively investigated. The present study aimed to elucidate the gene expression profiles of tumor stemness in lung cancer tissues and corresponding cfRNAs in blood, and to assess their links with immune infiltration. Tumor tissue, paracancerous tissue, peripheral blood and lymph node samples were collected from patients with stage I-III non-small cell lung cancer and RNA sequencing was performed. The TCGAbiolinks package was used to calculate the mRNAsi for each of these four types of sample. Weighted gene co-expression network analysis and differentially expressed gene analyses were performed to investigate mRNAsi-related genes, and pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) orthology-based annotation system. In addition, the STAR-Fusion tool was used to detect fusion variants, and CIBERSORT was used to analyze the correlations of stemness signatures in tissues and blood with immune cell infiltration. The mRNAsi values in peripheral blood and lymph nodes were found to be higher than those in cancer tissues. 'Hematopoietic cell lineage' was the only KEGG pathway enriched in mRNAsi-related genes in both lung cancer tissues and peripheral blood. In addition, the protein tyrosine phosphatase receptor type C associated protein gene was the only gene commonly associated with the mRNAsi in these two types of sample. The expression of mRNAsi-related genes was increased in the dendritic and Treg cells in tumor tissues, but was elevated in Treg and CD8 cells in the blood. In conclusion, cfRNAs in the blood exhibit unique stemness signatures that have potential for use in the diagnosis of lung cancer. [ABSTRACT FROM AUTHOR]

Objective: Primary antiphospholipid syndrome (PAPS) is a rare autoimmune disease characterized by the presence of antiphospholipid antibodies and the occurrence of thrombotic events and pregnancy complications. Our study aimed to identify novel genetic susceptibility loci associated with PAPS. Methods: We performed a genome‐wide association study comprising 5,485 individuals (482 affected individuals) of European ancestry. Significant and suggestive independent variants from a meta‐analysis of approximately 7 million variants were evaluated for functional and biological process enrichment. The genetic risk variability for PAPS in different populations was also assessed. Hierarchical clustering, Mahalanobis distance, and Dirichlet Process Mixtures with uncertainty clustering methods were used to assess genetic similarities between PAPS and other immune‐mediated diseases. Results: We revealed genetic associations with PAPS in a regulatory locus within the HLA class II region near HLA‐DRA and in STAT1‐STAT4 with a genome‐wide level of significance; 34 additional suggestive genetic susceptibility loci for PAPS were also identified. The disease risk allele near HLA‐DRA is associated with overexpression of HLA‐DRB6, HLA‐DRB9, HLA‐DQA2, and HLA‐DQB2 in immune cells, vascular tissue, and nervous tissue. This association is independent of the association between PAPS and HLA‐DRB1*1302. Functional analyses highlighted immune‐related pathways in PAPS‐associated loci. The comparison with other immune‐mediated diseases revealed a close genetic relatedness to neuromyelitis optica, systemic sclerosis, and Sjögren syndrome, suggesting co‐localized causal variations close to STAT1‐STAT4, TNPO3, and BLK. Conclusion: This study represents a comprehensive large‐scale genetic analysis for PAPS and provides new insights into the genetic basis and pathophysiology of this rare disease. [ABSTRACT FROM AUTHOR]

Objective: Pigmented villonodular synovitis (PVNS) is a rare benign proliferative disease affecting the soft‐tissue lining the synovial joints and tendons. Its etiology is poorly understood, largely limiting the availability of current therapeutic options. Here, we mapped the synovial gene and protein profiles of patients with PVNS, revealed a link between synovial inflammation and invasion, and elucidated the potential molecular mechanism involved. Methods: The expression of synovial genes from 6 control individuals, 7 patients with osteoarthritis (OA), and 19 patients with PVNS was analyzed via RNA sequencing. Protein profiles from 5 control individuals, 10 patients with OA, and 32 patients with PVNS were analyzed using label‐free proteomics. Microarray and reverse transcription–polymerase chain reaction analyses and immunohistochemical staining were used to evaluate inflammatory cytokine and target gene expression levels in synovial tissue, epithelial cells, and synovial fibroblasts (FLSs) derived from tissue of patients with PVNS. Various signaling pathway inhibitors, small interfering RNAs, and Western blots were used for molecular mechanism studies. Transwell migration and invasion assays were subsequently performed. Results: In total, 522 differentially expressed proteins were identified in the tissues of patients with PVNS. By integrating RNA sequencing and microarray analyses, significant changes in the expression of epithelial–mesenchymal transition (EMT)‐related genes, including transforming growth factor TGF‐b induced, neural cadherin, epithelial cadherin, SNAIL, and TWIST, were confirmed in the tissue of patients with PVNS compared to the control tissue. In vitro, TGFβ induced EMT and increased epithelial cell migration and invasion. Moreover, TGFβ not only promoted interactions between epithelial cells and FLSs but also directly increased the migration and invasion abilities of FLSs by activating the classical Smad2/3 and nonclassical JNK/AKT signaling pathways. Conclusion: This study provides overall protein and gene profiles of PVNS and identifies the crucial role of TGFβ in synovial invasion pathology. Exploring the related molecular mechanism may also reveal a new strategy or target for PVNS therapy. [ABSTRACT FROM AUTHOR]

Regular exercise is believed to suppress cancer progression. However, the precise molecular mechanisms by which exercise prevents cancer development remain unclear. In this study, using a steatosis‐associated liver cancer mouse model, we found that regular exercise at a speed of 18 m/min for 20 min daily suppressed liver cancer development. To explore the underlying mechanisms, we examined the gene expression profiles in the livers of the exercise and non‐exercise groups. The expressions of circadian genes, such as Per1 and Cry2, were upregulated in the exercise group. As circadian rhythm disruption is known to cause various diseases, including cancer, improving circadian rhythm through exercise could contribute to cancer prevention. We further found that the expression of a series of E2F1 and c‐Myc target genes that directly affect the proliferation of cancer cells was downregulated in the exercise group. However, the expression of E2F1 and c‐Myc was transcriptionally unchanged but degraded at the post‐translational level by exercise. Cry2, which is regulated by the Skp1‐Cul1‐FBXL3 (SCFFBXL3) ubiquitin ligase complex by binding to FBXL3, can form a complex with E2F1 and c‐Myc, which we think is the mechanism to degrade them. Our study revealed a previously unknown mechanism by which exercise prevents cancer development. [ABSTRACT FROM AUTHOR]

Eosinophilic esophagitis (EoE) is a chronic, allergic inflammatory disease of the esophagus characterized by eosinophil accumulation and has a growing global prevalence. EoE significantly impairs quality of life and poses a substantial burden on healthcare resources. Currently, only two FDA-approved medications exist for EoE, highlighting the need for broader research into its management and prevention. Recent advancements in omics technologies, such as genomics, epigenetics, transcriptomics, proteomics, and others, offer new insights into the genetic and immunologic mechanisms underlying EoE. Genomic studies have identified genetic loci and mutations associated with EoE, revealing predispositions that vary by ancestry and indicating EoE's complex genetic basis. Epigenetic studies have uncovered changes in DNA methylation and chromatin structure that affect gene expression, influencing EoE pathology. Transcriptomic analyses have revealed a distinct gene expression profile in EoE, dominated by genes involved in activated type 2 immunity and epithelial barrier function. Proteomic approaches have furthered the understanding of EoE mechanisms, identifying potential new biomarkers and therapeutic targets. However, challenges in integrating diverse omics data persist, largely due to their complexity and the need for advanced computational methods. Machine learning is emerging as a valuable tool for analyzing extensive and intricate datasets, potentially revealing new aspects of EoE pathogenesis. The integration of multi-omics data through sophisticated computational approaches promises significant advancements in our understanding of EoE, improving diagnostics, and enhancing treatment effectiveness. This review synthesizes current omics research and explores future directions for comprehensively understanding the disease mechanisms in EoE. [ABSTRACT FROM AUTHOR]

Mechanisms regulating the gene expression program at different hypoxia severity levels in patient tumors are not understood. We aimed to determine microRNA (miRNA) regulation of this program at defined hypoxia levels from moderate to severe in prostate cancer. Biopsies from 95 patients were used, where 83 patients received the hypoxia marker pimonidazole before prostatectomy. Forty hypoxia levels were extracted from pimonidazole‐stained histological sections and correlated with miRNA and gene expression profiles determined by RNA sequencing and Illumina bead arrays. This identified miRNAs associated with moderate (n = 7) and severe (n = 28) hypoxia and predicted their target genes. The scores of miRNAs or target genes showed prognostic significance, as validated in an external cohort of 417 patients. The target genes showed enrichment of gene sets for cell proliferation and MYC activation at all hypoxia levels and PTEN inactivation at severe hypoxia. This was confirmed by RT‐qPCR for MYC and PTEN, by Ki67 immunohistochemistry, and by gene set analysis in an external cohort. To assess whether miRNA regulation occurred within the predicted hypoxic regions, a method to quantify co‐localization of multiple histopathology parameters at defined hypoxia levels was applied. A high Ki67 proliferation index co‐localized significantly with hypoxia at all levels. The co‐localization index was strongly associated with poor prognosis. Absence of PTEN staining co‐localized significantly with severe hypoxia. The scores for miRNAs correlated with the co‐localization index for Ki67 staining and hypoxia, consistent with miRNA regulation within the overlapping regions. This was confirmed by showing miR‐210‐3p expression within severe hypoxia by in situ hybridization. Cell line experiments (22Rv1, PC3) were conducted to determine whether miRNAs and target genes were regulated directly by hypoxia. Most of them were hypoxia‐unresponsive, and probably regulated by other mechanisms such as MYC activation. In conclusion, in aggressive, hypoxic prostate tumors, cancer cells exhibit different proliferative gene expression programs that is regulated by miRNAs and depend on whether the cells reside in moderate or severe hypoxic regions. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Myxofibrosarcoma (MFS) and undifferentiated pleomorphic sarcoma (UPS) are two common and aggressive subtypes of soft tissue sarcoma. The aim of this study was to assess potential transcriptomic differences between MFS and UPS tumours and to evaluate the extent to which differences in gene expression profiles were associated with genomic and clinical features. The study included 162 patients with tumours diagnosed as MFS (N = 62) or UPS (N = 100). The patients had been diagnosed and treated at two Swedish sarcoma centres during a 30‐year period. For gene expression profiling and gene fusion detection all tumours were analysed using RNA‐sequencing and could be compared with data on clinical outcome (N = 155), global copy number profiles (N = 145), and gene mutations (N = 128). Gene expression profiling revealed three transcriptomic clusters (TCs) without any clear separation of MFS and UPS. One TC was associated with longer metastasis‐free survival. These tumours had lower tumour mutation burden (TMB), were enriched for a copy number signature representative of focal LOH and chromosomal instability on a diploid background, and were relatively immune‐depleted. MFS and UPS showed extensive genomic overlap, with whole genome doubling occurring more frequently among the latter. The results support the idea that MFS and UPS tumours have largely overlapping genomic and transcriptomic features, with UPS tumours showing more aggressive behaviour and more complex genomes. Independently of the tumour type, clinically relevant subgroups were revealed by gene expression analysis, and the finding of multiple genomic subgroups strongly suggest the existence of subgroups of relevance to treatment stratification. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin lymphoma and is associated with a poor prognosis. Data from the Gene Expression Profiling Interactive Analysis (GEPIA) database revealed dysregulated expression of several ubiquitin‐specific proteases (USPs) in DLBCL tissues (DLBCL vs. non‐DLBCL = 47 vs. 337), including USP19 (log2fold change = 1.17, P < 0.05). USP19 is closely linked to tumorigenesis, but its role in DLBCL progression remains largely unknown. Here, we investigated the role of USP19 in DLBCL development. Genetic manipulation of USP19 using adenovirus‐based vectors was performed in two DLBCL cell lines, SUDHL4 and DB cells. The results showed that USP19 knockdown suppressed the proliferation, anchorage‐independent growth and xenograft tumor formation of DLBCL cells and arrested the cell cycle at the G1 stage. In parallel, DLBCL cells overexpressing USP19 acquired a more malignant phenotype. Next, to explore USP19 interactors, we performed co‐immunoprecipitation/liquid chromatography–mass spectrometry and identified potential interacting proteins. Among them, Parkinson disease protein 7 (PARK7), a member of the peptidase C56 family known to be involved in carcinogenesis, was further validated to bind with and be stabilized by USP19. Additionally, we found that USP19 induced PARK7 deubiquitylation in both DLBCL cell lines, and PARK7 acted as a downstream effector of USP19 in regulating the growth of DLBCL cells. Collectively, USP19 exerts a tumor‐promoting role in DLBCL through interacting with and stabilizing PARK7. [ABSTRACT FROM AUTHOR]

Aortic aneurysm is a life-threatening condition and mechanisms underlying its formation and progression are still incompletely understood. Omics approach has brought new insights to identify a broad spectrum of biomarkers and better understand cellular and molecular pathways involved. Omics generate a large amount of data and several studies have highlighted that artificial intelligence (AI) and techniques such as machine learning (ML)/deep learning (DL) can be of use in analyzing such complex datasets. However, only a few studies have so far reported the use of ML/DL for omics analysis in aortic aneurysms. The aim of this study is to summarize recent advances on the use of ML/DL for omics analysis to decipher aortic aneurysm pathophysiology and develop patient-tailored risk prediction models. In the light of current knowledge, we discuss current limits and highlight future directions in the field. [ABSTRACT FROM AUTHOR]