Background: Structural variation (SV) acts as an essential mutational force shaping the evolution and function of the human genome. However, few studies have examined the role of SVs in high-altitude adaptation and little is known of adaptive introgressed SVs in Tibetans so far. Results: Here, we generate a comprehensive catalog of SVs in a Chinese Tibetan (n = 15) and Han (n = 10) population using nanopore sequencing technology. Among a total of 38,216 unique SVs in the catalog, 27% are sequence-resolved for the first time. We systematically assess the distribution of these SVs across repeat sequences and functional genomic regions. Through genotyping in additional 276 genomes, we identify 69 Tibetan-Han stratified SVs and 80 candidate adaptive genes. We also discover a few adaptive introgressed SV candidates and provide evidence for a deletion of 335 base pairs at 1p36.32. Conclusions: Overall, our results highlight the important role of SVs in the evolutionary processes of Tibetans’ adaptation to the Qinghai-Tibet Plateau and provide a valuable resource for future high-altitude adaptation studies.

Background/Objectives: Despite the clinical success of immune checkpoint blockade (ICB), its efficacy remains limited in immunologically “cold” tumors, primarily due to poor immunogenicity and an immunosuppressive tumor microenvironment (TME). Chemo-immunotherapy offers a potential strategy to enhance ICB response, yet its application is often hindered by inadequate tumor-targeted delivery and systemic immunosuppressive side effects. Biomimetic nanotechnology represents a promising approach to overcoming these limitations by improving drug delivery and facilitating effective combination regimens. Methods: We developed a biomimetic nanosystem (NVs@DOX) through genetic engineering of cellular membranes and optimized nanoformulation techniques, enabling co-delivery of doxorubicin (DOX) and ICB agents. This design aims to maximize synergistic antitumor effects while minimizing adverse impacts. Results: In vitro studies demonstrated the potent cytotoxicity of NVs@DOX, including significant inhibition of cancer cell proliferation and complete suppression of colony formation. In a 4T1 murine breast cancer model, NVs@DOX treatment led to substantial tumor growth inhibition (approximately 72%) without notable body weight loss, underscoring a favorable safety profile alongside enhanced therapeutic efficacy. Conclusions: The NVs@DOX platform effectively integrates doxorubicin with ICB within a biomimetic nanocarrier, significantly improving chemo-immunotherapy outcomes. This strategy highlights the potential of genetically engineered cellular nanoparticles as a promising combinatorial approach for the treatment of breast cancer.

Epithelial ovarian cancer (EOC) encompasses five major histological subtypes with marked genetic, immunological, and clinical heterogeneity. While genome-wide association studies (GWAS) have identified subtype-specific risk loci, a critical gap remains in understanding how plasma proteins influence immune-cell traits and contribute to EOC pathogenesis. We integrated subtype-stratified GWAS data from two EOC cohorts with plasma proteomics and immune-cell traits to construct protein-immune-EOC regulatory landscapes using a three-stage Mendelian randomization framework. Single-cell RNA-seq and multiplex immunofluorescence were employed to delineate the cellular distribution and spatial context of causal proteins. Subsequent analyses characterized immune infiltration, macrophage polarization, and clinicopathological associations. Drug-gene correlations were used to identify potential therapeutic targets, and transcriptomic analyses were applied to delineate the underlying transcriptional landscape. We identified 20 subtype-specific protein-immune-EOC regulatory axes, with FCGR2B emerging as a causal plasma protein in immune regulation and high-grade serous ovarian cancer (HGSOC) progression. FCGR2B was highly expressed in tumor-associated macrophages and was associated with an M2-like polarization phenotype. Functional characterization revealed that FCGR2B was associated with shorter progression-free survival and an immunosuppressive tumor microenvironment. Transcriptomic analyses revealed altered NF-κB signaling upon FCGR2B knockdown, and drug-response data suggested a potential association between high FCGR2B expression and sensitivity to NF-κB inhibitors. These findings delineate subtype-specific genetically informed protein-immune regulatory landscapes in EOC and identify FCGR2B as a key immunoregulatory and prognostic biomarker in HGSOC, suggesting FCGR2B as a potential therapeutic vulnerability that warrants further investigation.