Search Results (2,471)

The new-generation global navigation satellite system (GNSS) demands enhanced satellite autonomy, where high-precision orbit prediction plays a pivotal role. Traditional dynamic models depend heavily on long-term on-orbit observations, making hybrid deep-learning-based orbit prediction models an efficient alternative. Although existing studies have validated that temporal networks can effectively capture orbit error variations, improving prediction accuracy under short input sequences remains a critical challenge. To address this issue, this paper proposes an improved short-sequence-adaptive Bidirectional Long Short-Term Memory (BiLSTM) network to enhance orbit prediction performance of BeiDou Medium Earth Orbit satellites. Specifically, we design a scale-aware hybrid convolution module and an attention-driven feature fusion module to generate feature representations with high information density, which outperform the standalone BiLSTM under short input sequences. Experiments on the BeiDou system (BDS) C19 satellite demonstrate that our method reduces the mean residual rates from 54.03%, 41.18%, 80.10% to 4.36%, 6.12%, 5.39% in the X, Y, and Z axes, respectively, surpassing BiLSTM alone by over 85% across all metrics. Notably, the proposed method exhibits robust generalization capabilities across similar satellites with similar orbital configurations and dynamic environments. Full article

Colorectal cancer is a heterogeneous malignancy characterized by alterations in oncogenic signaling pathways and epigenetic mechanisms involved in gene regulation. Aberrant activation of the Wnt/β-catenin pathway represents a central molecular event in colorectal tumorigenesis, while histone-associated epigenetic modifications may contribute to tumor progression and variability. This study aimed to investigate the relationship between Wnt pathway activation and histone H3 lysine 27 trimethylation in colorectal cancer and to examine their associations with clinicopathological and molecular characteristics. A retrospective observational study was performed on 83 colorectal adenocarcinoma cases using immunohistochemical evaluation of nuclear β-catenin and H3K27me3 expression in formalin-fixed, paraffin-embedded tumor samples, together with molecular analysis of KRAS, NRAS, and BRAF mutations and microsatellite instability status. Nuclear β-catenin expression was observed in 39.8% of cases, while H3K27me3 exhibited negative, mosaic, or diffuse nuclear staining patterns. Nuclear β-catenin expression was significantly associated with patient sex and age, whereas H3K27me3 expression patterns were significantly associated with tumor location, histological grade, disease stage, and metastatic status. These results indicate that Wnt pathway activation and H3K27me3-associated epigenetic alterations frequently coexist in colorectal cancer and support the value of integrated molecular and epigenetic assessment. Full article

Erythema gyratum repens (EGR) is a rare figurate erythema strongly associated with internal malignancy and recognized as one of the most specific cutaneous paraneoplastic syndromes. Its recognition is clinically important, as it frequently precedes the diagnosis of an underlying neoplasm. We report the case of an 80-year-old woman who presented to the emergency department with a rapidly progressive, intensely pruritic eruption displaying a characteristic concentric “wood-grain” pattern. Laboratory evaluation revealed iron-deficiency anemia. Contrast-enhanced computed tomography identified a right-sided colonic mass, and colonoscopy with biopsy confirmed adenocarcinoma of the cecum. The patient underwent elective laparoscopic right hemicolectomy with complete tumor resection (pT3N0, microsatellite stable). Following surgery, the cutaneous lesions resolved completely and did not recur during follow-up. This case highlights erythema gyratum repens as a clinically relevant early marker of colorectal cancer and emphasizes the importance of prompt recognition of this distinctive dermatosis to trigger urgent and comprehensive malignancy screening, enabling timely diagnosis and definitive treatment. Full article

Background/Objectives: Lung cancer remains the leading cause of cancer-related mortality globally. Approximately 45% of these tumors harbor oncogenic mutations that drive carcinogenesis and are amenable to targeted therapies. Other predictive biomarkers—e.g., PD-L1, TMB, and MSI—play a crucial role in patients’ management. This study aims to investigate the existence of mutation clusters (co-mutations) and evaluate the correlation of these clusters with various clinical and laboratory parameters. Methods: A retrospective study was conducted utilizing pathological samples from lung cancer patients harboring mutations in EGFR, KRAS, ALK, BRAF, MET, HER2, ROS1, NTRK, and NRG1. Data were collected from the Institute of Pathology at Carmel Medical Center between the years 2022 and 2024. Patients were stratified using a Two-Step Cluster Analysis algorithm based on actionable mutations and co-mutations. Heatmaps and dendrograms were generated to assess the correlation between these genomic clusters, clinical metrics, and predictive biomarkers. Results: The study cohort included 129 patients with actionable mutations. Five distinct clusters were identified: Clusters 1, 2, and 3 exhibited a high expression of STK11 and TP53 co-mutations alongside KRAS drivers (n = 38, n = 12, and n = 23, respectively). Clusters 4 and 5 demonstrated high expression of ALK alterations and tumor suppressor gene mutations (n = 31 and n = 25, respectively). Cluster comparisons demonstrated statistically significant differences between clusters regarding age, gender, PD-L1 expression, and tumor mutational burden. No significant associations were found regarding ethnicity or microsatellite instability status. Conclusions: By constructing clusters based on the aggregate of genomic alterations in patients with actionable mutations, it is possible to predict associations with distinct demographic and clinical characteristics. Future research should apply this analytical approach to larger cohorts to further characterize these subgroups and investigate potential correlations with therapeutic efficacy. Full article

Early-onset colorectal cancer (EOCRC), defined as diagnosis before the age of 50 years, is increasing globally and is frequently characterized by aggressive biology and a disproportionate burden of liver metastases. This review synthesizes emerging evidence on the distinct molecular, immunologic and clinical features that differentiate EOCRC liver metastases from those arising in older adults. Genomic studies revealed increased chromosomal instability, increased copy number variation burden and unique amplification patterns involving MYC, RAD21, GNAS and MAPK1, alongside altered frequencies of classical driver mutations and increased germline predisposition. EOCRC liver metastases also exhibit a progenitor-like transcriptional state and an immune-cold microenvironment marked by reduced myeloid infiltration, impaired antigen presentation and profound resistance to immunotherapy, particularly in microsatellite-stable disease. Mechanistic insights into ferroptosis highlight therapeutic vulnerabilities, especially in PIK3CA-mutant tumors, where aspirin and ferroptosis inducers show synergistic potential. Clinically, high-risk EOCRC patients often present with left-sided primary tumors, synchronous metastases, adverse histology, elevated CEA levels and a hereditary predisposition, with prognostic models incorporating these variables outperforming traditional staging. Collectively, accumulating evidence suggests that EOCRC liver metastases may represent a biologically and clinically distinct entity, although ongoing debates regarding the extent of this distinction underscore the need for age-specific molecular profiling and prospectively validated therapeutic strategies. Full article

Microsatellite instability (MSI) testing is frequently used to screen patients for the early detection of Lynch syndrome, the most common hereditary colorectal cancer syndrome. MSI testing compares microsatellite repeat lengths in tumor DNA with those in matched normal tissue from the same patient. Therefore, precise sample identification is critical for obtaining reliable test results. The Penta-C and Penta-D pentanucleotide markers are widely used for sample identification in MSI testing. We investigated instability, defined as allelic mismatches or shifts, discordant fragment sizes, or the appearance of alleles in tumor DNA that were absent in the corresponding normal DNA, in the Penta-C and Penta-D loci across 2609 paired colorectal tumor and matched normal tissue or blood DNA samples. The allele sizes of both markers did not match in 0.3% of microsatellite-stable (MSS) and 12.3% of microsatellite instability-high (MSI-H) patients (p < 0.001, difference in proportions, 12.0% (95% CI, 8.9–15.1%)). Non-matching allele sizes in 12.3% of the MSI-H tumors suggest that other repeat markers may also be unstable and not suitable for sample identification in these tumors. Full article

Despite the endangered status of the Oriental Stork (Ciconia boyciana) on the IUCN Red List, a critical lack of contemporary mitochondrial genomic data from its core distribution areas in mainland China has hindered our understanding of the species’ long-term evolutionary stability and spatiotemporal variation. This study addresses this gap by sequencing and assembling the complete mitogenome (17,608 bp) of a contemporary individual from Hongze Lake, Jiangsu (PX682155), and conducting a rigorous comparative analysis against a historical reference sequence published 25 years ago in Japan (NC_002196). Our results demonstrate striking structural and functional conservation across a quarter-century span; the 13 protein-coding genes exhibit highly synchronized gene arrangements, base composition biases, and Relative Synonymous Codon Usage (RSCU) patterns, indicative of stringent purifying selection maintaining oxidative phosphorylation efficiency. While phylogenetic analysis reinforces its sister-group relationship with the White Stork (C. ciconia), significant length polymorphisms were identified within the D-loop control region, primarily driven by microsatellite repeat variations. These findings provide a vital genomic benchmark for mainland populations, offering high-resolution molecular markers essential for future large-scale assessments of geographic isolation and the refinement of targeted conservation strategies for this flagship wetland species. Full article

Background: Heterogeneous nuclear ribonucleoprotein L-like (HNRNPLL) is an RNA-binding protein involved in alternative splicing and immune regulation; however, its role in liver hepatocellular carcinoma (LIHC) remains unclear. Methods: We performed integrative multi-omics analyses using data from TCGA, GEO, and the Human Protein Atlas to evaluate the expression patterns, prognostic value, and potential biological functions of HNRNPLL. Functional enrichment and immune-related analyses were conducted to explore associated pathways. Experimental validation was performed in LIHC cell lines using Western blotting, RT-qPCR, CCK-8, colony formation, and Transwell assays, along with a xenograft mouse model. Results: HNRNPLL was significantly upregulated in LIHC at both transcriptomic and proteomic levels and was associated with advanced clinicopathological features and poor overall survival. Multivariate Cox regression analysis identified HNRNPLL as an independent prognostic factor. Enrichment analyses suggested that HNRNPLL-related genes are mainly involved in cell cycle regulation, mitotic progression, epithelial–mesenchymal transition, and immune-related pathways. In addition, HNRNPLL expression was correlated with immune cell infiltration, tumor mutational burden, microsatellite instability, ferroptosis-related genes, and m6A methylation regulators. Functional experiments demonstrated that HNRNPLL knockdown suppressed proliferation, migration, and invasion of liver cancer cells and inhibited tumor growth in vivo. Conclusions: These findings suggest that HNRNPLL may act as a potential regulator of LIHC progression and is associated with tumor-related biological processes and immune features. HNRNPLL may serve as a candidate biomarker for prognosis and a potential therapeutic target in LIHC, although further mechanistic studies are required. Full article

The conservation of genetic diversity in historically structured horse breeds requires fi-ne-scale population genetic evaluation beyond conventional pedigree-based approaches. The present study assessed genetic diversity, population structure, and mare family differentiation in a Lipizzan horse population using 16 ISAG/FAO-recommended microsatellite markers. A total of 172 mares representing 29 mare families were genotyped. All loci were polymorphic, with a mean number of alleles per locus of 6.69 and a mean effective number of alleles of 3.56. The average polymorphism information content (PIC = 0.66) indicated high marker informativeness. Mean observed heterozygosity was slightly lower than expected heterozygosity, although the overall negative inbreeding coefficient suggested general heterozygote excess and low population-level inbreeding, whilst the genetic differentiation among mare families was moderate. The principal components and the STRUCTURE analysis indicated admixture among mare families. Seven private alleles were detected across six loci, highlighting the presence of rare lineage-specific variants. These findings emphasize the importance of mare family-based analyses for identifying hidden genetic structures that may not be captured by population-level averages. The integration of microsatellite-based diversity evaluation provides a robust framework for de-signing sustainable breeding and conservation strategies aimed at preserving both overall variability and rare lineage-specific genetic components. Full article

A simple, fast, and cost-effective organic solvent-based protocol was developed for DNA extraction from deer antlers and prepared trophy skulls, eliminating the need for commercial kits or cryogenic grinding. The method combines bead-based mechanical homogenization with a 4 h enzymatic digestion in EDTA buffer containing N-lauryl sarcosine and Proteinase K, followed by phenol–chloroform–isoamyl alcohol purification and centrifugal filtration. DNA quality and quantity were evaluated using agarose gel electrophoresis, Qubit fluorometry, and Nanodrop spectrophotometry. The protocol was tested on 60 samples, comprising 30 antlers and 30 pedicle parts from prepared trophy skulls of roe deer (Capreolus capreolus), fallow deer (Dama dama), and red deer (Cervus elaphus). To assess suitability for downstream applications, species-specific microsatellite markers were amplified using multiplex PCR, successfully generating complete genotypes from all 60 samples. These results, along with a demonstrated case study, confirm that the developed protocol provides high-quality DNA suitable for molecular genetic investigations, enabling reliable genotyping from small amounts of both antler and processed trophy materials in forensic and conservation contexts. Full article

Urachal carcinoma is a rare and aggressive malignancy for which standardized management remains limited, particularly in patients with locally advanced and node-positive disease. We report the case of a 34-year-old woman with urachal adenocarcinoma involving the bladder dome and radiographically suspicious pelvic lymph nodes who underwent robot-assisted partial cystectomy with urachal resection and extended bilateral pelvic lymph node dissection. Because there was no clinical, radiologic, or intraoperative evidence of umbilical involvement, the umbilicus was preserved after preoperative counseling and intraoperative confirmation of a negative proximal margin. Final pathology demonstrated a 4.5 cm enteric-type urachal adenocarcinoma, pT3a pN2 (2/17), with lymphovascular invasion, perineural invasion, and negative surgical margins. Immunohistochemistry and DNA- and RNA-based next-generation sequencing showed microsatellite stability, mismatch-repair proficiency, low tumor mutational burden, and no actionable genomic alteration. Given the absence of an established adjuvant standard, the multidisciplinary tumor board selected adjuvant FOLFOX as a non-standard postoperative strategy based on the overall clinicopathologic context. The patient remained continent, experienced no postoperative complications or treatment-limiting toxicity, and showed normalization of carcinoembryonic antigen and carbohydrate antigen 19-9 levels. This case provides a carefully contextualized example of transparent surgical reasoning and restrained multidisciplinary management in a rare malignancy with limited prospective evidence. Full article

Cutaneous adnexal carcinomas (CACs) comprise a diverse group of malignant tumors that show morphological differentiation toward one of the four main adnexal structures in normal skin: hair follicles, sebaceous glands, sweat-apocrine glands, and sweat-eccrine glands. These tumors can arise sporadically or may be associated with rare genetic syndromes. A total of 276 CACs cases underwent hybrid capture-based comprehensive genomic profiling (CGP) to assess all classes of genomic alterations (GA). Sequencing data were used to determine microsatellite instability (MSI) status, tumor mutational burden (TMB), genomic loss of heterozygosity (gLOH), genomic ancestry, and COSMIC mutational signatures. PD-L1 expression was evaluated by immunohistochemistry (TPS; Dako 22C3). Statistical analyses were performed using Fisher’s exact test, with false discovery rate correction via the Benjamini–Hochberg method. Sequencing was performed on primary cutaneous tumors in 131 cases (47.4%) and on local recurrence or metastatic site biopsies in 145 cases (52.5%). Across all groups, there was a male predominance (64–81%) and similar mean ages (59–63 years), with apocrine (APO) tumors occurring in older patients than eccrine (ECC) tumors (72 vs. 62 years; p = 0.001). Histologically, 173 tumors (62.7%) were sweat gland-derived (SWT), 55 (19.9%) sebaceous gland-derived (SEB), 14 (5.1%) hair follicle-derived (HRF), and 34 (12.3%) unclassified (UNK). Among SWT tumors, 150 (86.7%) were eccrine and 23 (13.3%) apocrine. SWT tumors included digital papillary adenocarcinomas (DPA, 6.9%), mucinous carcinomas (MC, 6.3%), porocarcinomas (POR, 11.0%), spiradenocarcinomas (SPR, 8.1%), syringoadenocarcinomas (SRNG, 5.8%), and 77 (44.5%) unclassified cases. The number of GA per tumor was highest in SEB compared with SWT tumors (7.9 vs. 4.9; p = 0.005) and lowest in DPA (2.1 vs. 5.0 in non-DPA; p = 0.03). No differences in ancestry distribution were observed. Compared with SWT tumors, SEB tumors exhibited higher frequencies of RB1 (38.2% vs. 8.1%; p < 0.0001) and TP53 alterations (76.4% vs. 43.4%; p = 0.0002), suggesting potential neuroendocrine differentiation. MC tumors showed significantly higher PTCH1 alterations than non-MC tumors (36.4% vs. 1.8%; p = 0.044). MSI-high status was most frequent in SEB tumors compared with all other groups (15.7% vs. 1.2%; p = 0.005), and gLOH > 16% was also more common in SEB than SWT tumors (19.6% vs. 7.2%; p = 0.081). The MMR signature occurred more frequently in SEB than SWT tumors (32.0% vs. 2.1%; p = 0.005). Mean TMB was elevated across most CACs types, ranging from 10.4 mutations/Mb in HRF to 38.8 mutations/Mb in MC, with the exceptions of APO (2.7 mut/Mb; p = 0.001) and DPA (1.4 mut/Mb; p = 0.003). PD-L1 expression was generally low and did not differ significantly between SWT and SEB tumors (37.0% vs. 33.3%; NS). Given the limited data on CAC treatment, this study provides a catalog of commonly observed GA. SEB tumors exhibited the highest frequency of genomic alterations. Prospective clinical trials are needed to determine the prognostic and predictive value of CAC-specific biomarkers for immune checkpoint inhibitor (ICI) response, which is essential for integrating novel therapies into the evolving treatment landscape. Full article

A major limitation in studying gastroesophageal adenocarcinoma (GEA) has been the lack of reliable models that represent the disease’s complexity. We present lessons learned from a comprehensive large-scale biobanking effort combining traditional sample collection with several in vitro models, including 3-dimensional patient-derived organoids (PDOs), 2-dimensional cancer-associated fibroblasts (CAFs), tumor-infiltrating lymphocytes (TILs), and/or in vivo xenografts. This initiative started in 2018, integrating multiple advanced ex vivo models such as PDOs, patient-derived xenografts (PDXs), and organoids (PDXOs). This unique resource now includes tumor avatars from over 380 consented patients, making it the world’s largest living GEA biobank. We achieved a >90% success rate in creating per-patient models, including 227 tumor-derived and 203 neighboring normal PDOs. These organoids accurately mirror key features of the original tumors, such as their histology (e.g., microsatellite instability), mutations, and drug response across treatment points. Notably, PDOs can predict individual patient responses to chemotherapy within five weeks, underscoring their clinical relevance. Furthermore, high-throughput drug screening on PDO subsets with known genetic landscapes generates personalized chemosensitivity profiles for 22 drugs. Through a process of continued refinement of culture techniques and tumor sampling approach, our large-scale comprehensive collection of GEA avatars represents a unique and valuable preclinical experimental resource for precision oncology. Full article

Background: Colorectal cancer (CRC) continues to represent one of the most common and lethal malignant tumors globally. Notably, only patients diagnosed with microsatellite instability-high (MSI-H) colorectal cancer derive substantial clinical benefits from immune checkpoint inhibitor therapy. As critical immune cells that infiltrate tumors, γδT cells are tightly linked to the therapeutic response in colorectal cancer patients with microsatellite instability (MSI) colorectal cancer. However, the heterogeneous characteristics of γδT cells in colorectal cancer with different microsatellite statuses and their specific roles in regulating immunotherapy responses remain unclear. Methods: We performed dimensionality reduction and clustering analysis on γδT cells from a single-cell RNA sequencing dataset to explore diversity and functional characteristics of distinct γδT cell subsets. Meanwhile, bulk transcriptome data were applied to further investigate the immune infiltration, clinical characteristics, and immune checkpoint molecule expression in CRC patients stratified by distinct γδT cell subpopulations. Results: We identified five γδT cell subsets, among which the C4_CXCL13 γδT cell subsets was enriched in MSI CRC and exhibited an exhausted-like T cell phenotype while retaining robust cytotoxic function. A signature score based on these 17 marker genes was associated with survival, immune infiltration, and therapeutic response, thus representing a potentially valuable independent prognostic factor. Conclusions: The C4_CXCL13 γδT cell subset represents a characteristic subset in MSI CRC and is closely associated with clinical prognosis and benefit from immunotherapy. It represents a potential clinical marker for classifying patients and estimating the response to immunotherapy, offering a novel target for personalized immunotherapy in CRC. Full article

Hopea celebica Burck is an endangered dipterocarp endemic to Sulawesi, Indonesia, occurring in two ecologically contrasting habitats: karst and ultrabasic forests. These environments differ markedly in soil composition and topography, potentially driving ecological specialization and genetic divergence. To investigate the genetic variation and genetic structure of this species, we applied newly developed microsatellite (SSR) markers, together with the chloroplast DNA sequences of the trnL–trnF region. Genotypes at 15 SSR loci were determined for 255 individuals collected from six populations covering the range of the species’ distribution across karst and ultrabasic forests. Genetic diversity was consistently higher in karst than in ultrabasic populations. DIYABC and VarEff analyses revealed a historical bottleneck and earlier recovery in the karst populations. Analysis of molecular variance (AMOVA) revealed that 35% of the genetic variation was partitioned between habitat types (F_RT = 0.345, p = 0.001). Bayesian clustering (STRUCTURE), principal coordinate analysis (PCoA), and UPGMA dendrograms consistently showed two distinctive clusters corresponding to habitat type. Chloroplast haplotypes differed between populations in the karst and ultrabasic forests. These results suggest that populations in the karst and ultrabasic forests have undergone a long history of differentiation without migration. The strong habitat-related genetic structure likely reflects ecological isolation and early-stage speciation. We recommend treating the karst and ultrabasic populations as distinct conservation units to preserve the evolutionary potential and adaptive capacity of H. celebica under ongoing environmental change. Full article