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PubMed2026

Oncogenic Mutations and Tumor Microenvironment Alterations in Diffuse Large B-Cell Lymphoma With Bulky Disease.

BACKGROUND: Bulky disease represents a clinically aggressive subset of diffuse large B-cell lymphoma (DLBCL) associated with adverse clinical outcomes. The aim of this study was to investigate the influence of oncogenic mutations and tumor microenvironment alterations on bulky disease in DLBCL. METHODS: We analyzed a cohort of 939 patients with newly diagnosed DLBCL. Using DNA (n = 934) and RNA (n = 524) sequencing, we compared oncogenic mutations and tumor microenvironment (TME) alterations based on tumor diameter, with cutoff values at 5.0 cm and 10.0 cm. Further stratification by mutations in key genes (CD58, STAT6, EBF1) correlated with tumor diameter revealed distinct transcriptomic and immunologic profiles. Subsequent single-cell RNA sequencing, guided by these mutational signatures, resolved the cellular heterogeneity within the TME. RESULTS: Integrative analysis revealed that tumor diameter correlated with increased incidence of mutations in CD58, STAT6, and EBF1; adverse genetic subtypes such as EZB-like MYC+ and TP53Mut; activation of oncogenic pathways (JAK/STAT, BCR, PI3K, and MYC); and an immunosuppressive tumor microenvironment. Notably, immune checkpoint molecules varied across the bulky stages, with CTLA-4, TIGIT, ICOS, and CD28 expression inversely correlated with tumor diameter, while CD70 and 4-1BBL expression positively correlated. Single-cell RNA sequencing further revealed mutation-specific tumor microenvironment insights. CD58-mutated tumor exhibited a profoundly immune-deserted microenvironment dominated by malignant B cells with minimal immune infiltration, whereas STAT6-mutated tumor was associated with increased fibroblasts and CD4 + T cells, particularly regulatory T cells (Treg) and Th1-like cells; EBF1-mutated tumor was characterized by increased proportions of malignant B cells. CONCLUSIONS: Collectively, our findings highlight the biological complexity of bulky disease, identifying candidate molecular targets and providing a biological framework for future therapeutic hypothesis generation in this clinically aggressive subset of DLBCL.

Humans↗

PubMed2026

Metabolic convergence of diabetes and prostate cancer: from dysglycemia to tumor microenvironment reprogramming.

The relationship between diabetes mellitus and prostate cancer (PC) represents one of the most intriguing paradoxes in cancer epidemiology, with diabetic individuals exhibiting a reduced incidence of PC yet poorer prognosis following diagnosis. This apparent contradiction underscores the need for an integrated understanding of how systemic metabolic dysfunction influences prostate carcinogenesis and disease progression. The present review critically synthesizes contemporary epidemiological, mechanistic, and translational evidence to establish metabolic convergence as a unifying framework linking diabetes-associated metabolic abnormalities with PC biology. Current evidence indicates that chronic dysglycemia, hyperinsulinemia, insulin resistance, and endocrine perturbations orchestrate interconnected intracellular signaling networks involving PI3K-AKT-mTOR, AMPK, AGE-RAGE signaling, oxidative stress, mitochondrial dysfunction, and epigenetic reprogramming, collectively driving metabolic adaptation and tumor evolution. Beyond tumor-intrinsic mechanisms, diabetes profoundly remodels the prostate tumor microenvironment through alterations in stromal metabolism, cancer-associated fibroblast activation, adipocyte-tumor crosstalk, extracellular matrix (ECM) remodeling, hypoxic adaptation, and vascular dysfunction, while simultaneously promoting immunometabolic reprogramming characterized by macrophage polarization, T-cell dysfunction, immune checkpoint activation, and immune evasion. The review further examines the bidirectional interactions between antidiabetic therapies and PC treatment, critically evaluating the translational potential of metformin and emerging glucose-lowering agents within the context of precision metabolic therapeutics. Finally, future directions encompassing biomarker-guided patient stratification, longitudinal metabolic profiling, multi-omics integration, artificial intelligence, and clinically relevant mechanistic validation are discussed as essential components of next-generation precision oncology. Collectively, this review reframes diabetes as an active metabolic determinant of PC rather than a coincidental comorbidity and highlights metabolism-centered precision strategies as promising avenues for improving risk stratification, therapeutic decision-making, and clinical outcomes in diabetes-associated PC.

Humans↗

PubMed2026

Integrative pooled transcriptomic analysis reveals shared and distinct molecular signatures in adult T-cell leukemia/lymphoma and peripheral T-cell lymphoma.

Adult T-cell leukemia/lymphoma (ATLL) and peripheral T-cell lymphomas (PTCLs) are aggressive neoplasms of mature T cells with poor prognosis and limited therapies. ATLL originates from HTLV-1 infection, while PTCL comprises heterogeneous subtypes without a defined etiologic factor. Comparative molecular profiling of these malignancies remains limited. We conducted an integrative pooled transcriptomic analysis of publicly available Gene Expression Omnibus (GEO) microarray datasets to compare ATLL, PTCL, and normal T-cell samples. Differential expression, functional enrichment, and protein-protein interaction (PPI) network analyses were performed using STRING, Cytoscape, and Gephi. Key hub genes and functional modules were further analyzed through KEGG and Enrichr databases. Comparative analyses revealed upregulation of extracellular matrix (ECM) components (COL1A1, COL3A1, FN1, SPARC, THBS1) and immune-regulatory molecules (CD163, CXCL12-CXCR4, complement subunits). Shared pathways included ECM-receptor interaction, focal adhesion, and PI3K-Akt signaling. PTCL showed enrichment in coagulation and angiogenesis, while ATLL displayed distinct enrichment of cytoskeletal, chemokine, immune-regulatory, and signaling-associated pathways. PPI networks identified ECM and chemokine signaling as key hubs, with subtype-specific modules related to immune regulation, proliferation, and metabolism. This integrative approach uncovers common and distinct oncogenic programs in ATLL and PTCL, emphasizing ECM remodeling and immune modulation as shared hallmarks. Hub genes such as COL1A1, FN1, and CXCL12-CXCR4 may represent candidate molecular signatures that warrant validation in independent patient cohorts and functional studies before their clinical utility can be established.

Humans↗

PubMed2025

Notch pathway defines an aggressive and immune-suppressive phenotype associated with checkpoint inhibitor resistance in pan-gastrointestinal adenocarcinomas.

The Notch pathway regulates the homeostasis and tumorigenesis of gastrointestinal epithelium. Given its roles in cancer stem cell capacity and cancer immunity, we hypothesized that Notch activation can predict poor prognosis and resistance to immune checkpoint inhibitors (ICIs) in gastrointestinal adenocarcinoma (GIAC). The mRNA expression and genomic alterations of Notch pathway were characterized in esophagus (ESAD), stomach (STAD), colon (COAD), or rectum (READ) adenocarcinomas from The Cancer Genome Atlas (TCGA) dataset. The prognostic model (mRNA-score) was constructed using the TCGA dataset (the training set) and was validated in 3 independent sets (GSE19417 [ESAD], GSE84437 [STAD], and GSE40967 [COAD]). The associations of the mRNA-score with drug sensitivity, immune cell infiltration, and immunotherapy efficacy were, respectively, analyzed using the Genomics of Drug Sensitivity in Cancer (GDSC) database, the TCGA dataset, and multiple clinical cohorts including GSE165252, PRJEB25780, IMvigor210, and CheckMate-009/010/025. Notch pathway genes exhibited conserved genomic/transcriptomic features across four GIAC subtypes. Three pan-GIAC clusters were determined by unsupervised clustering, and the cluster with higher expression of the Notch pathway genes had shorter overall survival (OS), immunosuppressive microenvironment, and higher scores of the signatures concerning angiogenesis, cell cycle, PI3K-AKT-mTOR, TGF-β, glycolysis, etc. A prognostic algorithm (mRNA-score) was constructed, which was correlated with poor OS in the training set (TCGA, P < 0.001) and three validation sets (GSE19417, P = 0.025; GSE84437, P = 0.001, GSE40967, P = 0.007). A high mRNA-score was linked with more "resting"/ "anti-inflammatory" rather than "activated"/ "pro-inflammatory" tumor-infiltrating immune cells and ICI resistance in GIACs (GSE165252, P = 0.047; PRJEB25780, P = 0.047) and other solid tumors such as urothelial carcinoma and clear cell renal cell carcinoma. Our findings demonstrate the utility of the Notch pathway in predicting prognosis and ICI resistance. Further studies are warranted to explore the efficacy of Notch inhibitors as immunotherapeutic adjuvants to overcome ICI resistance.

Humans↗

PubMed2026

Dual-Reporter Gene-Based Multimodal Imaging for Tracking Mesenchymal Stem Cells in Diabetic Skin Wound Repair.

BACKGROUND: Diabetic foot ulcer (DFU) is a clinically challenging complication characterized by poor healing outcomes, and conventional therapies provide limited benefit. Mesenchymal stem cell (MSC) transplantation offers a promising strategy for DFU repair. However, the low survival of transplanted MSCs in the hostile wound microenvironment, coupled with the lack of real-time, non-invasive methods to track these cells in vivo, severely hampers their therapeutic efficacy and clinical translation. METHODS: We engineered MSCs to co-express a dual reporter system comprising near-infrared fluorescent protein (iRFP) and ferritin heavy chain (FTH1). These modified cells were then integrated with a fibrin glue (FG) scaffold to create a unified platform that supports both multimodal imaging and therapeutic function within skin wounds. First, FTH1 overexpression enhances the antioxidant capacity of MSCs, while the FG scaffold provides structural support; this combination enhances cell survival and retention. Second, the iRFP/FTH1 dual reporter enables near-infrared fluorescence imaging and MRI-based localization, establishing a multimodal platform for real-time cell tracking. RESULTS: In a full-thickness skin defect model in diabetic mice, multimodal imaging revealed that transplanted cells persisted in the wound area for approximately seven days. Treatment with iRFP/FTH1-MSCs/FG significantly accelerated wound closure and promoted hair follicle regeneration and angiogenesis. Additionally, local iron deposition resulting from FTH1 expression enhanced fibroblast migration and collagen synthesis, further facilitating extracellular matrix remodeling. Mechanistic studies demonstrated that this therapy drives macrophage polarization toward the anti-inflammatory M2 phenotype and activates the PI3K-AKT-VEGF signaling pathway. These complementary effects synergistically enhance tissue regeneration and systematically improve diabetic wound healing. CONCLUSIONS: Collectively, this multimodal stem cell-scaffold system effectively integrates dynamic cell tracking with stem cell therapy during skin wound repair. It addresses a critical technical gap in visualizing stem cells within the wound microenvironment and provides valuable methodological and theoretical foundations for optimizing regenerative strategies for diabetic skin wounds.

Animals↗

PubMed2026

Anti-tumour effects of combined lenvatinib and EGFR Inhibition in advanced differentiated thyroid cancer cells.

PURPOSE: Differentiated thyroid cancer (DTC) typically has a favourable prognosis, while advanced forms of these tumours exhibit aggressive behaviour, leading to decreased survival. Lenvatinib has demonstrated effectiveness in managing advanced DTC. However, its long-term efficacy is compromised by resistance mechanisms, which remain unexplored, limiting its clinical utility. METHODS: In vitro studies were conducted using three advanced DTC cell lines of the papillary subtype: K1 (BRAF p.V600E), BCPAP (BRAF p.V600E) and TPC-1 (RET/PTC1). IC50 for Lenvatinib and Gefitinib were defined, and their effects on cell viability, colony formation, gene expression, and pathway activation were assessed individually and in combination. Comparative genomic hybridisation was performed to uncover intrinsic resistance mechanisms. RESULTS: Lenvatinib IC50 was higher in K1 and BCPAP than in TPC-1, indicating greater TPC-1 susceptibility, as confirmed by viability assays. Gefitinib showed similar IC50 values across all cell lines. The Lenvatinib plus Gefitinib combination (Combo) significantly reduced K1 and BCPAP viability when comparing with monotherapies, with no significant effects in TPC-1. Clonogenic assays mirrored these results and revealed higher recovery in K1 and BCPAP after Combo withdrawal. Combo treatment increased EGFR expression and induced ERK1/2 and AKT phosphorylation’s dysregulation in all cell lines. CONCLUSIONS: This study showed that RET/PTC1 cells are more responsive to Lenvatinib than BRAF-mutated cells, and that EGFR targeting with Gefitinib enhanced Lenvatinib’s inhibitory effect in BRAF-mutated cells. Dysregulation of EGFR and Lenvatinib target gene’s expression, as well as of MAPK and PI3K signalling may indicate short-term adaptive resistance. These findings provide insight into Lenvatinib resistance mechanisms in thyroid cancer and highlight the need for further research to overcome refractoriness.

Humans↗

PubMed2026

Multi-omics identification of therapeutic targets of compound sappan decoction in hepatocellular carcinoma.

BACKGROUND: Compound sappan decoction (CSD) is a multi-herbal traditional Chinese medicine formulation with clinical relevance in hepatocellular carcinoma (HCC). However, its therapeutic mechanisms remain unclear. METHODS: Bioactive compounds of CSD were identified and standardized using pharmacological and chemical databases. Potential targets were predicted via multiple target inference platforms. HCC-related genes were curated from comprehensive disease databases. Summary-data-based Mendelian randomization (SMR) was conducted to infer causal relationships between compound targets and HCC risk using large-scale quantitative trait loci (QTL) datasets and HCC genome-wide association study data. Colocalization analysis, protein-protein interaction (PPI) network construction, and GO/KEGG enrichment were performed on SMR-identified targets. Molecular docking evaluated binding affinities of representative compounds to prioritized targets. RESULTS: A total of 784 overlapping genes between predicted CSD targets and HCC-related genes were subjected to SMR analysis. Among these, 22 targets were significantly associated with HCC risk based on transcriptomic or proteomic QTLs and showed colocalization evidence. Notably, four targets (ADRB2, APOE, SYK, and PGF) were supported by both replication in an independent cohort and strong colocalization. These 22 targets were enriched in apoptosis, PI3K-Akt signaling, redox metabolism, and detoxification pathways. PPI analysis revealed central hubs including MMP9, BCL2, CASP1, and MCL1. Molecular docking demonstrated strong binding of APOE to quercetin, PGF to luteolin-7-olate, and SYK to kaempferol. CONCLUSIONS: CSD may exert therapeutic effects on HCC through modulation of genetically validated targets involved in tumor progression, inflammation, and metabolic reprogramming, supporting its potential clinical utility as an adjunctive treatment strategy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s12672-026-04740-8.

Caesalpinia↗

PubMed2026

A novel lactylation-related gene signature deciphers the immunosuppressive microenvironment and stratifies precision therapy in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer mortality, largely due to the heterogeneity of the tumor microenvironment (TME) and the limited efficacy of immunotherapy in microsatellite stable (MSS) tumors. Histone lactylation, a post-translational modification derived from the Warburg effect, serves as a critical bridge linking metabolic reprogramming to gene regulation and immune evasion; however, its specific prognostic value and clinical implications in CRC remain to be fully elucidated. METHODS: In this study, we systematically analyzed transcriptome profiling data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts, supplemented by single-cell RNA sequencing (scRNA-seq) analysis and Human Protein Atlas (HPA) protein-level validation. By integrating univariate Cox regression, Least Absolute Shrinkage and Selection Operator (LASSO) analysis, and multivariate Cox regression, we constructed a novel lactylation-related gene (LRG) risk signature. We extensively evaluated the association between this risk signature and patient prognosis, immune infiltration patterns, somatic mutations, and therapeutic sensitivity. RESULTS: A robust 9-gene prognostic signature (DHRS7, SPR, MBD2, RBM17, CSRP2, S100A4, TMSB4X, TKT, COPS4) was identified and corroborated at the protein level. Patients with high risk scores exhibited significantly worse overall survival (OS) across the training and two independent validation cohorts. Immunogenomic and scRNA-seq analyses revealed that high-risk tumors were characterized by an immunosuppressive and stromal-dense microenvironment-with stromal cells exhibiting the highest lactylation risk scores-enriched with regulatory T cells (Tregs), and frequently harbored PIK3CA mutations. Differential expression analysis indicated that this immune exclusion is structurally maintained by enriched extracellular matrix (ECM) organization and TGF-β signaling. Conversely, low-risk tumors displayed an inflamed phenotype with active antitumor immunity. Pharmacogenomic prediction identified distinct therapeutic stratifications: low-risk patients exhibited significant sensitivity to standard chemotherapeutics (fluorouracil, oxaliplatin) and EGFR/HER2 inhibitors (e.g., lapatinib, erlotinib). In contrast, high-risk patients showed specific vulnerabilities to novel targeted agents, including PI3K pathway inhibitors (TG-100-115, XL765), microenvironment-modulating agents (sildenafil, GANT-61), and epigenetic inhibitors (UNC0638). CONCLUSION: We established a novel lactylation-related risk signature that effectively stratifies CRC patients by prognosis and TME characteristics. By elucidating the crosstalk between metabolic dysregulation, stromal barriers, and immune exclusion, this study provides potential biomarkers and stratified therapeutic strategies-ranging from standard chemotherapy to targeted metabolic and stromal interventions-to optimize precision medicine for CRC patients.

Colorectal cancer↗

PubMed2026

AKR7A3 rs1738023 association with susceptibility to female hepatocellular carcinoma and its role in AFB1 metabolism and tumor.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common cancer worldwide. In this study, we performed a two-stage exome-chip association analysis and found that the aldo-keto reductase family7 member A3 (AKR7A3) rs1738023 may be a potential susceptibility locus for HCC in females. We aimed to explore its role and mechanism. METHODS: The association between genotype and phenotype was analyzed through GWAS method. The expression of AKR7A3 in cancer tissue and blood analysis by qRT-PCR. The relationship of AKR7A3 and aflatoxin B1 (AFB1) was also analyzed. The effect of AKR7A3 on the biological behavior of HCC cell line was investigated on proliferation and invasion. The potential mechanism was analyzed by transcriptome analysis and western blot. RESULTS: Through genome-wide association analysis (GWAS), AKR7A3 (rs1738023), KIF2C (rs4342887), and CYP3A5 (rs6977165 and rs4646450) were found to be associated with susceptibility to hepatocellular carcinoma (HCC) in women. Further expression quantitative trait loci (eQTL) analysis showed that only AKR7A3 (rs1738023) was significantly associated with gene expression. The expression of AKR7A3 was significantly lower in HCC than adjacent non-tumorous tissues (P < 0.001). The genotype of rs1738023 was significantly associated with AKR7A3 expression (P = 0.0085). Rs1738023[C] genotype had a low AKR7A3 expression level and limited detoxification ability of AFB1. Literature data showed that AKR7A3 is involved in the metabolism of aflatoxin B1 (AFB1). Functional experimental results showed that overexpression of AKR7A3 in the normal liver cell line HL-7702 could significantly reduce AFB1-induced ROS levels and DNA adduct formation, suggesting that it plays a protective role in AFB1 metabolic detoxification. Cell function test showed that overexpression of AKR7A3 inhibit the proliferation, migration and invasion of HCC cells, and block the cell cycle. Transcriptome sequencing and KEGG pathway enrichment analysis revealed that overexpression of AKR7A3 affected the PI3K signaling pathway and led to downregulation of HIF1A and its downstream VEGFA protein expression. The validation results were confirmed in HCC cell lines Huh-7 and SUN-387. CONCLUSION: Overexpression of AKR7A3 contributes to inhibition of HCC progression and reduction of aflatoxin toxicity. AKR7A3 may serve as a potential prognostic and therapeutic target for HCC patients, although further validation is needed.

AKR7A3↗

PubMed2026

Effects of umbilical cord mesenchymal stem cell-derived exosomes on periodontal ligament stem cells: An exploratory study.

OBJECTIVE: To investigate whether exosomes derived from human umbilical cord mesenchymal stem cells (UCMSCs) at two osteogenic induction stages (undifferentiated and late-stage) differentially affect periodontal ligament stem cells (PDLSCs), and to explore the potential molecular basis. DESIGN: UCMSCs and PDLSCs were isolated and cultured. Exosomes were harvested from undifferentiated UCMSCs (Exo-D0) and UCMSCs after 14 days of osteogenic induction (Exo-D14). PDLSCs were treated with both exosome types. Proliferation and migration were analyzed using EdU and scratch assays, the latter under serum-free conditions. Early osteogenic differentiation was assessed by alkaline phosphatase staining and quantitative reverse transcription PCR (qRT-PCR). Differentially expressed miRNAs were identified by high-throughput sequencing and further analyzed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. RESULTS: Both exosome types promoted PDLSC migration. Exo-D0 enhanced early osteogenic differentiation, whereas Exo-D14 enhanced proliferation but reduced early osteogenic marker expression. Sequencing identified 21 differentially expressed miRNAs (13 upregulated, 8 downregulated). Bioinformatic prediction suggested that the putative target genes were enriched in Ras signal transduction, regulation of kinase activity, and focal adhesion, and further predicted significant enrichment in the MAPK, Ras, and PI3K-Akt signaling pathways, which are central to cell proliferation and osteogenic differentiation. CONCLUSIONS: Exosomes from undifferentiated and osteogenically induced UCMSCs exerted distinct effects on PDLSCs, potentially associated with differentially packaged miRNAs. These findings offer a basis for hypotheses about exosome-mediated mechanisms and support matching exosome sources to the intended therapeutic outcome as potential cell-free strategies for periodontal tissue regeneration and alveolar bone repair.

Humans↗

PubMed2026

An SLC7A5-dependent nutrient-sensing circuit overcomes cisplatin tolerance via mTOR-autophagy signaling.

Cisplatin-based chemotherapy responses are highly heterogeneous across cancers, with the mechanisms governing drug sensitivity remaining incompletely understood. Using genome-wide CRISPR-Cas9 knockout screening, we systematically characterized regulators of cisplatin response and uncovered a counterintuitive finding: mTOR inhibition promotes cisplatin tolerance, contradicting the canonical view that PI3K-AKT-mTOR activation confers chemoresistance. Mechanistically, both mTOR suppression and cisplatin treatment converge to activate cytoprotective autophagy, which enhances cancer cell survival under therapeutic stress. The amino acid transporter SLC7A5 was identified and validated as a key integrator of the mTOR-autophagy axis that modulates cisplatin sensitivity. SLC7A5 expression positively correlates with cisplatin sensitivity across cancer cell lines, and its downregulation is associated with cisplatin resistance in multiple cancer types, supporting its potential as a mechanistically grounded predictive biomarker. Translationally, leucine supplementation sensitizes cancer cells to cisplatin in an SLC7A5-mTOR-autophagy-dependent manner. Collectively, our study defines a novel mTOR-autophagy adaptive loop governing cisplatin tolerance, positions SLC7A5 as a central regulatory node with both biomarker and therapeutic target value, and proposes leucine supplementation as a simple, translatable strategy to improve cisplatin efficacy in SLC7A5-expressing tumors.

Cisplatin↗

PubMed2026

Phenylalanine 347 regulates the subcellular localization of PTEN.

PTEN plays diverse tumor-suppressive roles, including inhibition of PI3K-AKT signaling and maintenance of genomic integrity in the nucleus. Elucidating the molecular mechanisms regulating its subcellular localization is therefore essential for understanding PTEN functions. PTEN350, a fragment comprising the N-terminal phosphatase and C2 domains of PTEN, preferentially localizes to the nucleus, although the residues responsible for this localization remain unclear. Previously, we demonstrated that Thr348 contributes to the prominent nuclear accumulation of the PTEN350 fragment and PTENA4 carrying alanine substitutions in the Ser380/Thr382/Thr383/Ser385 (STTS) motif. Since our previous findings suggested that Phe347 also contributes to PTEN nuclear localization, we investigated its role in the present study. Phe347 substitutions (F347A, F347Y, and F347L) were introduced into PTEN and its mutant or truncated derivatives, including PTEN350, PTEN, PTENA4, PTEN350,K13R, and PTENK13R,A4, either alone or in combination with T348D. The F347A substitution significantly attenuated the nuclear accumulation of PTEN350 and PTENA4, whereas F347L partially preserved nuclear accumulation and F347Y substitution exhibited an intermediate phenotype. Similar effects of the F347 substitutions were also observed in the T348D mutants, although the differences among the three substitutions were less pronounced. A similar pattern was observed for the plasma membrane localization of PTEN350,K13R and PTENK13R,A4, with F347A causing the greatest reduction, F347L retaining partial membrane localization, and F347Y exhibiting an intermediate phenotype. The effects of these substitutions were consistently observed in both HEK293T cells and HeLa cells. Collectively, these findings indicate that Phe347 is an important determinant of PTEN subcellular localization.

Nuclear translocation↗

PubMed2026

Muscular fiber properties and multi-omics investigation of larval and adult locomotor muscle in Microhyla fissipes.

During metamorphosis, Microhyla fissipes undergoes a critical transition from an aquatic to a terrestrial lifestyle, accompanied by significant remodeling of skeletal muscle. Notably, larval tail muscle degenerates, while adult hindlimb muscle develops. However, the molecular mechanisms that orchestrate these muscle type-specific adaptations to the changing environment remain unclear. In this study, histological observation, transcriptomics, and metabolomics were integrated to compare locomotor muscles from two stages: larval muscle from tail versus adult muscle from hindlimb. Our results revealed that adult muscle fibers exhibited reduced diameter and shorter sarcomere length compared to those of tadpoles. Transcriptomic analysis identified 4103 differentially expressed genes (DEGs), including 2182 up-regulated and 1921 down-regulated genes. Up-regulated genes were mainly involved in energy metabolism and cellular homeostasis pathways, including PPAR signaling and oxidative phosphorylation, whereas down-regulated genes were associated with carbohydrate metabolism and cell proliferation pathways, such as glycolysis/gluconeogenesis and PI3K-Akt signaling. Metabolic profiling indicated a metabolic shift from anaerobic to aerobic energy production, with 57 differential metabolites identified, mainly involved in protein metabolism and insulin-related pathways. Integrated multi-omics analysis further highlighted the AMPK and FoxO signaling pathways play key roles in this process. In conclusion, our findings demonstrate that the metabolic and structural differences between larval and adult skeletal muscles are mediated by AMPK- and FoxO-dependent signaling pathways, providing novel insights into the molecular mechanisms underlying adaptive development and locomotor transition in anuran amphibians.

Animals↗

PubMed2026

Effects of rumen fluid transplantation on longissimus dorsi muscle development in Xizang sheep: An association analysis based on transcriptomic and serum metabolomic profiles.

This study aimed to investigate the effects of rumen fluid transplantation (RFT) on the growth and development of the longissimus dorsi muscle in female Xizang sheep. After RFT, muscle lightness differed significantly between the two groups, with the LDC group showing significantly higher lightness than the LDT group. In contrast, no significant differences were observed between groups in other muscle phenotypic traits, including drip loss, pH, cooking loss, shear force, redness, and yellowness. Antioxidant-related indices (SOD, GSH-PX, MDA, CAT, and T-AOC) also showed no significant differences between groups. Histological analysis revealed that muscle fiber length, width, and density were significantly greater in the experimental group than in the control group. Transcriptomic analysis identified 515 differentially expressed genes (DEGs), of which 419 were downregulated. KEGG analysis indicated that genes involved in muscle development-related pathways, such as cell adhesion and the PI3K-Akt signaling pathway, were predominantly downregulated. Key serum metabolites (L-kynurenine, IPA, allantoin, and propionylcarnitine) showed highly significant positive correlations with muscle fiber growth indices. In contrast, metabolites such as l-carnitine, acetylcarnitine, and citrulline were negatively correlated with muscle fiber growth, but positively correlated with the expression of muscle structure-related genes (COL11A1 and EFNA5) and with meat lightness. Overall, this study provides new insights into the potential molecular basis by which RFT influences muscle growth and development. However, the mechanisms by which RFT affects muscle development and meat quality-related traits remain unclear and warrant further investigation.

Animals↗

PubMed2026

Transcriptomic characterization of the intestine in Stichopus monotuberculatus under gradient temperature stress and HSP gene family-mediated molecular adaptation.

The increasing frequency of extreme temperature events under climate change poses a growing threat to the stability of tropical sea cucumber aquaculture. To characterize the molecular responses of the tropical sea cucumber Stichopus monotuberculatus to acute temperature stress, juveniles were exposed for 96 h to 15 °C, 20 °C, 25 °C, 30 °C, and 35 °C, followed by transcriptomic profiling of the intestine. By transcriptomic analysis, 2258, 634, 1618, and 2980 differentially expressed genes (DEGs) were identified at 15, 20, 30, and 35 °C compared to control, respectively. More DEGs were generally detected at temperatures further from 25 °C, with the 35 °C group showing the largest transcriptional response. Although cold and heat stress both affected metabolism and protein homeostasis, their enrichment profiles differed. At 15 °C, DEGs were mainly enriched in the spliceosome and p53 signaling pathways, highlighting RNA processing and p53 signaling as prominent features of the cold-stress response. At 35 °C, DEGs were mainly enriched in the PI3K-Akt signaling pathway, ubiquitin-mediated proteolysis, and mitophagy, indicating enhanced regulation of cell survival, protein turnover, and mitochondrial quality control. HSP genes also responded differently to cold and heat stress. Most HSP70 and HSP90 family members were downregulated at low temperatures, whereas HSP70 genes and small heat shock proteins were markedly upregulated at high temperatures. Overall, the intestinal transcriptome showed distinct responses to cold and heat stress. These results identify pathways and HSP genes potentially involved in the temperature response of S. monotuberculatus and provide useful information for evaluating temperature tolerance and defining suitable temperatures for its aquaculture.

Heat shock protein↗

PubMed2025

EIF2B5 promotes malignant progression of hepatocellular carcinoma by activating the PI3K/AKT signaling pathway through targeting RPL6.

Hepatocellular carcinoma (HCC) is a highly aggressive malignancy with limited treatment options and poor prognosis. In this study, we demonstrated the critical role of EIF2B5 in driving HCC progression. We found EIF2B5 expression is significantly upregulated in HCC tumor tissues in several bioinformatics datasets, including The Cancer Genome Atlas, and that high expression of EIF2B5 predicts poor prognosis for HCC patients. Through a series of in vitro cell biology experiments, we found that EIF2B5 knockdown significantly attenuated Hep3B and HepG2 proliferation, migration, and invasion and increased cell cycle arrest, whereas EIF2B5 overexpression promoted HCC progression. Through mass spectrometry and immunoprecipitation validation, we found that EIF2B5 directly interacted with RPL6 and that when EIF2B5 was overexpressed in HCC cells, it promoted the expression of the downstream protein RPL6, which was able to activate the phosphatidylinositol kinase (PI3K)/serine-threonine kinase (AKT)/mammalian target of rapamycin (mTOR) pathway and thereby increase the proliferation and invasion ability of HCC cell lines, as verified by second-generation sequencing analysis and western blot. We further verified these findings using the mouse ectopic tumor assay, and the results showed that EIF2B5 knockdown significantly inhibited tumor progression in HCC mice. The present study suggests that EIF2B5 promotes malignant progression of HCC by interacting with RPL6 and activating the PI3K/AKT/mTOR signaling pathway and may serve as a potential target for the treatment of HCC.

Humans↗

PubMed2026

Spontaneous lytic reactivation drives a persistent B cell-vector pathway for epithelial dissemination of the Epstein-Barr virus.

The Epstein-Barr virus (EBV) establishes lifelong B cell infection via oral transmission; however, it paradoxically drives carcinomas in anatomically distant organs with striking geographic disparities. While genomic studies frequently link specific EBV variants to these epithelial cancers, the mechanisms bridging ubiquitous infection to distant, strain-dependent malignancies remain largely unresolved. Using an induction-free primary B cell system, we identify a circulating B cell-vector pathway driving immortalized epithelial dissemination. We demonstrate that B cells infected with carcinoma-associated strains exhibit markedly higher epithelial transmission compared with those carrying lymphoid strains. This contact-dependent process requires spontaneous lytic reactivation, viral DNA replication, and de novo virion production. Crucially, those infected B cells retain their transmission capacity for months, supporting sustained epithelial seeding. Mechanistically, entry requires gH/gL engagement of EphA2/desmocollin-2 (DSC2), with actin- and PI3K-dependent endocytosis. These findings define a lytic-coupled, receptor-dependent pathway by which the EBV exploits B cells to access the epithelium, offering a mechanistic framework for understanding strain tropism and host-virus interactions.

B cell vector↗

PubMed2026

In silico screening of anti-atherosclerotic compounds from Morus alba leaves by machine learning and network pharmacology.

OBJECTIVE: This study integrates machine learning with network pharmacology, molecular docking, and molecular dynamics simulations to screen bioactive compounds from Mulberry leaves and elucidate their potential mechanisms against atherosclerosis (AS). METHODS: A training dataset of anti-AS active compounds was compiled and encoded as Morgan fingerprints. Three machine learning classifiers, specifically Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XG-Boost), were constructed and evaluated using multiple performance metrics. Potential active components from Mulberry leaves and AS-related targets were retrieved, followed by protein-protein interaction network construction and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Molecular docking was then performed to evaluate binding affinities between core targets and candidate compounds, and the most stable complex was subjected to molecular dynamics simulations using GROMACS (2025). RESULTS: The RF model achieved superior performance (accuracy= 0.8354, F1 = 0.8408, AUC = 0.9119) with 100% external validation accuracy. Thirteen anti-AS candidates were prioritized from mulberry leaves, four of which have been previously documented. Network pharmacology revealed AKT1 and IL6 as core targets, enriched in pathways such as endocrine resistance. Molecular docking and dynamics simulations confirmed strong binding between oxysanguinarine and AKT1, with the complex exhibiting high stability. CONCLUSION: The RF model provides a reliable computational tool for prioritizing anti-AS compounds from Mulberry leaves. The integrated analysis reveals that Mulberry leaves exert anti-atherosclerotic effects through multi-target (e.g., AKT1, IL6) and multi-pathway (e.g., PI3K-Akt) mechanisms, offering a framework for further experimental validation.

Morus↗