Biology subjects

Gao, X.

Publications and source records attributed to Gao, X..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

NRF2 pathway activation and SPP1⁺TREM2⁺ macrophages drive chemoradiotherapy resistance in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is among the most aggressive cancers, with low rates of durable response to chemoradiotherapy and limited therapeutic options for relapsed disease. To uncover mechanisms of treatment resistance and relapse, we performed comprehensive multi-omics profiling of >100 pre-treatment and post-relapse ESCC tumors from a prospective clinical trial (NCT04694391), integrating whole-exome/genome sequencing, bulk RNA-sequencing, single-cell RNA sequencing, and spatial transcriptomics. We identify somatic alterations in NFE2L2/KEAP1 in nearly 40% of relapsed patients, which are associated with upregulation of NRF2 signaling targets in resistant tumors and cell line models. At single-cell and spatial resolution, relapsed tumors are enriched for NRF2-activated epithelial cells that physically co-localize with immunosuppressive SPP1TREM2 macrophages. This co-localization suggests a synergistic interaction between NRF2-driven tumor programs and macrophage-mediated immune suppression that promotes relapse after chemoradiotherapy. Our findings nominate NFE2L2/KEAP1 mutations as predictive biomarkers for patient stratification and highlight therapeutic targeting of NRF2 signaling and SPP1TREM2 macrophages as rational strategies to overcome resistance in ESCC.

cancer biology↗

bioRxiv2026

Loss of sphingomyelin synthase-1 does not cause egg retention or locomotion defects in Caenorhabditis elegans

Sphingomyelin is a critical sphingolipid found in plasma membranes of metazoa that provides structural and communicative functions. Sphingomyelin synthases are key enzymes that generate sphingomyelin but their precise functions in animal development and function are not fully understood. The Caenorhabditis elegans model encodes five sphingomyelin synthases (sms-1-5). Previously, egg-laying and locomotion phenotypes were observed in an sms-1(ok2399) deletion mutant. In this study, we attempted to replicate these findings to enable mechanistic dissection of sphingomyelin function. We indeed found that the sms-1(ok2399) mutant exhibited egg-laying and locomotion defects, however, we were unable to rescue this phenotype. Further, we generated two additional sms-1 deletion mutants (rp398 and rp399) and found that their egg-laying and locomotion behavior is not different to wild-type animals. We suggest that the sms-1(ok2399) contains a background mutation that causes behavioral deficits, and that SMS-1 loss does not overtly affect C. elegans egg-laying or locomotion.

genetics↗

bioRxiv2026

Minute-scale coupling of chromatin marks and transcriptional bursts

Histone modifications are often described as stable epigenetic marks that contribute to maintaining gene-expression programs during development and environmental responses 1-5. However, transcription of many genes is intermittent, switching between transcriptionally active and inactive episodes within minutes 6-10. Whether chromatin marks around individual genes change on these rapid timescales remains unclear. Here we show that local chromatin modification signals around endogenous genes in mouse embryonic stem cells fluctuate reversibly with transcriptional state, using live imaging of individual genes together with fluorescent probes that report histone modifications11-16. Activation-associated acetylation and methylation marks increased in association with transcriptional activation and decreased with inactivation, whereas a Polycomb-associated repressive mark behaved oppositely. Transcriptional coactivators and both histone acetyltransferase and deacetylase complexes were enriched during transcriptionally active state, consistent with opposing enzymatic activities shaping local acetylation levels 17,18. Inhibiting histone deacetylases altered the durations of active and inactive events, supporting a role for deacetylation in regulating transcriptional state transitions. Thus, histone modifications undergo reversible, minute-scale changes coupled to transcriptional activity. This framework helps explain how stochastic transcriptional bursts can occur with stable gene regulation over longer timescales.

molecular biology↗

bioRxiv2026

Integrative Single-Cell Epigenomic Atlas Annotates the Regulatory Genome of the Adult Mouse Brain

Histone modifications underpin the cell-type-specific gene regulatory programs that drive the remarkable cellular diversity of the mammalian brain. Here, we jointly profiled four histone modifications and the transcriptome in 2.5 million nuclei from the adult mouse brain. By integrating these data with chromatin accessibility, DNA methylation, and three-dimensional genome organization, we constructed a unified epigenomic atlas spanning over 100 brain cell subclasses, and assigned active, primed, and repressive chromatin states across 81% of the genome. Active chromatin states marked by combinatorial histone modifications better nominate candidate enhancers with functional support than chromatin accessibility alone, while H3K27me3- and H3K9me3-marked chromatin states delineate distinct modes of cell-type-specific gene repression. Finally, this multimodal resource enables deep learning models that predict cell-type-specific epigenomic features and gene expression from DNA sequence, providing a comprehensive framework for annotating the brain regulatory genome and interpreting non-coding disease risk variants. HIGHLIGHTS- A single-cell epigenome atlas of transcription and four histone modifications across 2.5M mouse brain cells - Multimodal integration maps chromatin states across [~]81% of the adult mouse brain genome - Cell-type-resolved chromatin landscapes reveal regulatory programs mediated by enhancers, Polycomb and H3K9me3 - Deep learning models predict cell-type-specific epigenomic features and gene expression from DNA sequence

genomics↗

bioRxiv2026

Single-cell Multiome Analysis of Chromatin State and Transcriptome in the Human Basal Ganglia

The basal ganglia play essential roles in motor control, emotion, learning and reward processing. Their dysfunction contributes to many neurological and psychiatric disorders. However, the gene regulatory programs defining basal ganglia cell-type identity and function remain poorly understood, limiting interpretation of disease-associated non-coding variants. Here, we present the first single-cell multiome atlas of histone modifications and transcriptomes across eight basal ganglia regions from neurotypical adult human donors. Joint profiling reveals cell-type-specific deployment of active and repressive cis-regulatory elements and gene regulatory networks, and suggests a combinatorial homeobox transcription factor code underlying cell identity. Integration with matched spatial transcriptomic MERFISH data uncovers regional heterogeneity of epigenomic landscapes. Comparative analysis between human and mouse medium spiny neurons uncovers conservation of core gene regulatory features. This atlas interprets non-coding risk variants of neuropsychiatric disorders and supports the development of a deep learning model to predict gene regulation and functional effects of disease-associated variants. HIGHLIGHTSO_LIJoint single-cell profiling of transcriptomes and three histone modifications across eight human basal ganglia regions characterizes active and repressive chromatin states at cell-type resolution. C_LIO_LICell-type-specific gene regulatory programs decode combinatorial homeobox TF grammar governing the identity and diversification of basal ganglia neurons. C_LIO_LIIntergrative analyses link noncoding neuropsychiatric risk variants to specific cell types, regulatory elements, and candidate target genes. C_LIO_LIA sequence-to-function deep-learning model predicts gene regulation from DNA sequence and prioritizes functional disease-associated variants. C_LI

genomics↗

bioRxiv2026

Wetness modulates the effects of grazing on net ecosystem productivity in global grasslands

Overgrazing has induced widespread grassland degradation globally. However, how grazing intensity affects ecosystem carbon dioxide (CO2) fluxes with wetness fluctuations in grasslands at a global scale remains poorly understood. Here we measured ecosystem CO2 fluxes covering the 7th to 11th years of a continuous grazing experiment in a typical steppe, and conducted a meta-analysis of 585 observations by collecting relevant data in global grasslands. Our experimental results showed that mean gross primary productivity (GPP) and ecosystem respiration (ER) were decreased under heavy grazing (HG) compared with control without grazing (CK), whereas net ecosystem productivity (NEP) was not different between HG and CK in the typical steppe. The NEP was higher under light grazing in the wetter years, but it was not different between LG and CK under drier years in the typical steppe. The structural equation model showed that grazing altered NEP by increasing soil temperature and relative growth rate, while decreasing AGB. In contrast, grazing decreased GPP, ER and NEP, respectively, in global grasslands. Both our field experiment and the meta-analysis revealed that the response of NEP to light grazing, rather than heavy grazing, was lineally correlated with the wetness index. Higher wetness and aboveground biomass (AGB) increased the response of NEP to grazing in global grasslands. However, heavy grazing reduced NEP and AGB even under higher wetness indices in global grasslands, resulting from a loss of their resilience in long-term heavy grazing. These findings indicate that light grazing appears to be a promising management to promote plant relative growth rate and carbon sequestration. Overall, the meta-analysis and field experiment jointly provide global perspectives on the response of ecosystem CO2 fluxes to grazing intensity and improve our understanding of the factors influencing the response of ecosystem CO2 fluxes to grazing intensity.

ecology↗

bioRxiv2026

Single-Cell Raman Profiling Enables Rapid Precision Phage Therapy Against Multidrug-Resistant Hypervirulent Klebsiella pneumoniae

Multidrug-resistant hypervirulent Klebsiella pneumoniae (MDR-hvKP) poses a severe global health threat. Phage therapy is a promising alternative, but requires precise matching of phage to the bacterial strain. Here, we present a proof-of-concept method that integrates single-cell Raman spectroscopy with deep learning to enable rapid and precise selection of lytic phages against MDR-hvKP. By profiling Raman signatures of strains across multiple KL-types (capsule locus types), we trained three deep learning architectures for phage-host matching. Among them, the CNN_MLP-Transformer achieved the best performance (99.7%), slightly outperforming CNN_MLP (99.2%) and CNN_MLP-Attention (99.5%). Validation using 10 hvKP clinical isolates yielded an average phage selection accuracy of 78.3%. These findings demonstrate the feasibility and clinical potential of AI- augmented Raman spectroscopy as a rapid, label-free, precise strategy for guiding phage therapy against MDR-hvKP infections. TeaserAI-guided single-cell Raman profiling enables rapid precision phage selection against multidrug-resistant K. pneumoniae.

microbiology↗

bioRxiv2026

Novel Bacillus altitudinis endolysin (ArtE2) targeting both Gram-positive and Gram-negative bacteria

Antibiotic resistance is a major global health concern. The development of new antibiotics and therapeutics is crucial for the future. Bacteriophages produce endolysins that induce bacterial lysis, making them a promising treatment option. Deep sequencing was used to identify and isolate genes encoding endolysins from Bacillus spp.. We characterized the biological activities of these endolysins. Additionally, this study focused on the design of a new chimeric endolysin, ArtE2, which combines endolysin-2 with a polycationic peptide to address the bacterial activity in gram-negative pathogenic bacteria. Using bioinformatic tools, we conducted three-dimensional modeling of the endolysin ArtE2 and its interactions with peptidoglycan fragments. In this study, we tested the activity of chimeric endolysins against both Gram-positive and Gram-negative bacteria. All endolysins share the same catalytic domain and diverse cell-binding domains. Some endolysins are highly specific to certain bacterial species or strains, whereas others have broader specificities. Histidine interactions are an important part of the mechanism by which ArtE2 connects with bacterial peptidoglycan. Additionally, the engineered endolysin ArtE2 was highly effective at killing Staphylococcus aureus and Escherichia coli. In silico analysis showed that the fusion did not negatively affect endolysin folding or activity. These findings suggest that ArtE2 could be used to develop efficient antibacterial controls targeting pathogenic Gram-positive and Gram-negative bacteria.

microbiology↗

bioRxiv2026

Endothelial Cell Secretome Alterations Induced by Inflammatory Stress

Endothelial cells detect pathogens through pattern recognition receptors, such as Toll-like receptor 4 (TLR4), which triggers the synthesis and secretion of molecules that initiate the innate immune response. Proteins bearing signal peptides are secreted through the classical endoplasmic reticulum (ER)-Golgi-dependent route, whereas select signal-peptide-lacking cytoplasmic proteins are secreted via less well-characterized ER-Golgi-independent mechanisms, collectively termed unconventional cytoplasmic protein secretion (UCPS). To systematically characterize the secretome of human umbilical vein-derived endothelial cells (HUVECs) and delineate the contribution of UCPS, we performed deep quantitative proteomics on HUVEC cell lysates and conditioned medium before and after TLR4 stimulation with lipopolysaccharide (LPS). Of 5205 proteins detected in either fraction, 381 were enriched in the conditioned medium and therefore classified as secreted. Of these, 333 proteins (87.4%) were secreted via the conventional pathway, and 48 (12.6%) were secreted via UCPS, 43 of which were not previously associated with this process. Predicted functions of UCPS-secreted proteins include redox regulation, proteostasis, cytoskeletal remodeling, and innate immune signaling. We confirmed that -globin (HBA1), which functions as a redox sensor and regulator of nitric oxide in endothelial cells, is secreted constitutively by UCPS and at higher levels following inflammatory activation. Notably, UCPS cargo identity showed poor concordance with current computational predictors, underscoring the need for empirical datasets. Overall, our findings suggest that the HUVEC secretome includes both conventionally and unconventionally secreted proteins that regulate coagulation, angiogenesis, and immune function. Our findings establish a high-quality secretome dataset for HUVECs, providing a novel resource for future efforts to define the molecular determinants governing UCPS cargo selection and trafficking related to endothelial cell function.

cell biology↗

bioRxiv2026

Ac-FAPI-04 Promotes Anti-tumor Immunity via IL-27 Activation and Tnfaip3 Inhibition

BackgroundAccumulating evidence substantiates the capacity of targeted radionuclide therapy (TRT) to potentiate tumor immunotherapy responses. However, combining TRT and immunotherapies exhibits substantial varying efficacy, underscoring the importance of investigating mechanisms through which TRT remodels the tumor microenvironment (TME). Despite recent advancements, the specific signaling molecules mediated by TRT that regulate the functions of cytotoxic T lymphocytes (CTLs) remain unclear. MethodsGiven the demonstrated potential of -radionuclides targeting the fibroblast activation protein (FAP) in TRT, this study employed [225Ac]Ac-FAPI-04 to investigate the mechanisms of TRT-induced TME remodeling. The cytotoxic effects were first evaluated in the B16F10 cell line, followed by an assessment of its in vivo therapeutic efficacy in tumor-bearing mice. RNA-sequencing analysis was utilized to elucidate underlying signaling pathways involving immune responses. Results[225Ac]Ac-FAPI-04 significantly induced DNA double-strand breaks, further elevated ROS levels, and apoptosis in tumor cells. Transcriptomic profiling revealed that [225Ac]Ac-FAPI-04 activates the IL-27/JAK-STAT pathway to amplify interferon-mediated responses, indicating IL-27 serves as a critical regulatory signal for CTLs during TRT. A concomitant observation was the downregulation of Tnfaip3 following [225Ac]Ac-FAPI-04 treatment. Tnfaip3 is implicated in modulating CTLs behavior and intratumoral infiltration, while its downregulation was associated with the upregulation of cytotoxic effector molecules, as confirmed in this study. ConclusionThis study identifies a TRT-induced pattern of synergistic signaling mediated by IL-27 and Tnfaip3, which collectively enhances CTL recruitment and potentiates their cytotoxic function. These findings provide a detailed mechanistic rationale for strategies aimed at augmenting the therapeutic efficacy of TRT and immunotherapy combinations.

molecular biology↗

bioRxiv2026

Ultra-fast genetic recovery of dead fish through cross-family germline stem cell transplantation

AbstactThe conservation of genetic resources from aquaculture species and endangered fish is increasingly challenged by large body size, long reproductive cycles, and limited opportunities for timely intervention after death. Here, we establish and validate an ultra-fast genetic platform based on germline stem cell transplantation to enable postmortem genetic recovery in fish. Using grass carp (Ctenopharyngodon idella) as a representative warm-water species, we systematically quantified the relationships among postmortem tissue freshness, germline stem cell viability, and transplantation efficiency, and demonstrated that low-temperature preservation plays a decisive role in maintaining germline activity after death. Germline stem cells isolated from deceased grass carp were transplanted into germ-cell-depleted zebrafish recipients, where they rapidly colonized recipient gonads, underwent proliferation and differentiation, and generated functional donor-derived gametes within three months. These gametes supported successful fertilization and normal embryonic development, ultimately yielding viable grass carp offspring. Our results reveal an intrinsic postmortem resilience of germline stem cells and demonstrate that cross-species transplantation into small, fast-maturing hosts can dramatically accelerate genetic recovery. This strategy overcomes key biological and logistical constraints associated with conventional breeding-based rescue approaches and provides a rapid, scalable, and broadly applicable framework for postmortem genetic resource conservation in aquaculture and endangered fish species.

zoology↗

bioRxiv2025

Combined antagonism of Oncostatin M (OSM) and Interleukin 6 (IL-6) provides both anti-fibrotic and anti-inflammatory benefit in pulmonary fibrosis

Interstitial lung diseases (ILDs), including idiopathic pulmonary fibrosis (IPF) and systemic sclerosis-associated ILD (SSc-ILD), are irreversible fibrosing diseases with a mean survival time of less than 5 years for IPF. Poorly understood etiology and complex pathogenesis of these diseases have hampered the identification and development of effective therapeutics. Existing treatments can slow progressive fibrosis and lung function decline but do not stop it entirely, resulting in a minimal impact on patient survival. Thus, novel therapeutic interventions are needed. Tocilizumab, an anti-IL-6 receptor antibody, was recently approved by FDA for the treatment of SSc-ILD based on evidence demonstrating a reduction in the rate of lung function decline. In this study, we have characterized an IL-6-driven feed-forward myeloid axis contributing to lung inflammation providing a mechanistic hypothesis for tocilizumab. Concomitantly we have identified an oncostatin M (OSM) orchestrated lung injury response contributing to epithelial and endothelial cell disruption, myofibroblast activation and fibrosis. Despite dysregulated expression of IL11 in IPF, SSc-ILD, and murine models of fibrosis, we found no evidence for a pro-fibrotic role for IL-11 in vitro or in vivo. Instead, in pre-clinical models of IPF we demonstrate that antagonism of OSM alone, or to a greater degree in combination with IL-6, reduced lung fibrosis and inflammation. Translating these observations, we validated gp130:OSMR, rather than gp130:LIFR, as the dominant human receptor complex used by OSM, identifying OSMR as a potential therapeutic target to stall fibrosis.

immunology↗

bioRxiv2025

The natural flavonoid dihydromyricetin targets senescent cells via PRDX2 and alleviates age-related diseases

Aging is a preeminent risk factor for chronic diseases, with cellular senescence as one of the major hallmarks and an effective target to delay, prevent or alleviate age-related disorders. Here we report in vitro screening outputs from a natural medicinal agent (NMA) library, wherein dihydromyricetin (DMY), a natural flavonoid, showed senotherapeutic potential. DMY protected senescent fibroblasts from further DNA damage and attenuated the senescence-associated secretory phenotype (SASP), acting as a senomorphic agent. Proteomics suggested that DMY promotes nuclear translocation of peroxiredoxin 2 (PRDX2), a reactive oxygen species (ROS) scavenger, facilitating DNA repair in senescent cells. In prematurely aged mice, DMY administration mitigated tissue aging changes and age-related physiological decline. In anticancer regimens, DMY improved outcomes of chemotherapy. However, DMY demonstrated senolytic activity against senescent microglial cells, wherein basal PRDX2 expression remains low, by impairing mitochondrial function to promote ROS-mediated apoptosis. In mice developing an Alzheimers disease (AD)-like state, DMY eliminated senescent microglial cells from amyloid {beta}-protein (A{beta}) plaques, alleviating A{beta}-associated pathological phenotypes. Together, our study proposes DMY to be a natural senotherapeutic agent representing a therapeutic solution for mitigating age-related morbidities including but not limited to cancers and AD.

cell biology↗

bioRxiv2025

AI Identifies Broadly Neutralizing Antibodies from an IGHV1-69 Public Antibody Class Exerting Continued Selection Over SARS-CoV-2

R1-32-like public antibodies, characterized by shared IGHV1-69/IGLV1-40 usage, are elicited in more than 50% of individuals with COVID-19 and have been implicated in driving recurrent mutations at L452SARS2 and F490SARS2 within their convergent epitope in the SARS-CoV-2 spike receptor-binding domain. These mutations effectively mediate escape from non-affinity-matured R1-32-like antibodies with germline-like sequences. Here, we characterize four affinity-matured R1-32-like antibodies, C092, C807, BD56-104, and BD56-597, that tolerate L452SARS2 and F490SARS2 mutations. We show that this tolerance arises from residues introduced by somatic hypermutation at convergent positions across multiple CDR loops and surrounding regions, thereby creating additional contacts that reinforce epitope binding. An unusual N354SARS2 glycosylation site, which emerged in BA.2.86 and became fixed in its descendants, is linked to escape from affinity-matured R1-32-like antibodies, implying ongoing selection by this public antibody class. Using an AI model trained on integrated structural, neutralization, and binding data, we further identified ZL525, an ultrapotent R1-32-like antibody with pan-SARS-CoV-2 variant activity, including against the highly evasive KP.3 variant carrying the N354SARS2 glycosylation, and broad sarbecovirus cross-reactivity extending to SARS-CoV-1. Together, these findings show how affinity maturation enables public antibodies to adapt to viral antigenic drift, reveal their role in shaping SARS-CoV-2 antigenic evolution, and demonstrate the potential of AI-empowered strategies for discovering broadly neutralizing antibodies.

immunology↗

bioRxiv2025

Thermo-Dynamic Flux Balance Analysis, a novel approach to simulate circadian metabolism

Circadian metabolism arises from complex, time-dependent interactions across organs, yet experimental characterization in humans remains limited. Current whole-body metabolic models are either too large for dynamic simulation or insufficiently detailed to capture temporal physiology. We developed a multi-tissue human metabolic reconstruction, HGEM1.19+, an extensively curated model for dynamic simulation. We introduced Thermo-Dynamic Flux Balance Analysis (tdFBA), a novel formulation that integrates thermodynamic constraints, organ-specific enzyme capacities, solubility limits, osmotic balance and pH buffering. Murine circadian transcriptomics and metabolomics were integrated with human datasets to parameterize temporal dynamics. A genetic algorithm optimized internal parameters under CHOW diet conditions and model performance was evaluated using circadian metabolomics and gene-sage patterns. The framework recapitulated key metabolic oscillations under CHOW diet and partially reconstructed perturbed states including HFD, BMAL1 knockout, and tissue-specific re-entrainment. tdFBA enables physiologically grounded, multi-organ dynamic simulations and provides a foundation for exploring human circadian metabolism and perturbation responses.

systems biology↗

bioRxiv2025

Temporal single-cell profiling uncovers age-associated delays in immune resolution to respiratory viral infection

Aging is a major risk factor for increased morbidity and mortality following acute respiratory virus infections. To elucidate the immune determinants underlying viral pathogenesis and delayed lung repair in the aged lung, a comprehensive time-course study was conducted. Single-cell RNA sequencing (scRNAseq) and high-dimensional flow cytometry were utilized to compare lungs from young and aged mice infected with influenza A virus (IAV). Aged hosts displayed diminished alveolar macrophage (AM) and dendritic cell (DC) but elevated monocyte-derived macrophage (MoM) and interstitial macrophage (IM) presence following infection. Additionally, enhanced accumulation of adaptive immune cells, including CD4+ tissue-resident helper (TRH) cells, CD8+ tissue-resident memory (TRM) cells, and a B cell subset resembling age-associated B cells, was observed in the memory phase. Pathway analysis revealed that elevated type I and II interferon (IFN/{gamma}) signaling, especially in MoM/IM subsets, distinguished the aged hosts from the young. Inhibition of IFN/{gamma} signaling after viral clearance improved long-term respiratory outcomes and reduced both IM and TRH populations in aged mice. These findings highlight the pivotal role of IFN/{gamma} signaling, likely within MoM/IM subsets, in driving the exuberant persistence of adaptive immune cells and chronic immunopathology in the aged lung following acute viral infection.

immunology↗

bioRxiv2025

Mechanisms of soil carbon preservation illuminated by model mineral-associated organic matter

A central control on atmospheric CO2 is the stabilization of organic carbon in soils. While there are well-described properties associated with stable soil carbon, such as interactions with minerals and conserved chemical features, determining the mechanisms underlying these properties is challenged by soil complexity and heterogeneity. Here we synthesize a naturally complex, tunable model form of mineral-associated organic matter (LabMAOM) to explore mechanisms of stable soil carbon formation and persistence. We show that mineral association and ambient organic matter synergistically stabilize LabMAOM against microbial decomposition. Moreover, different starting compositions of organic matter yield a conserved final LabMAOM chemical composition consistent with natural soils. Our findings open new mechanistic understanding of stable soil carbon and will be of utility to climate modeling and soil health management.

synthetic biology↗

bioRxiv2025

HINS: HLA-mediated immunogenic neoantigen score for robust prediction of immune checkpoint blockade response

Immune checkpoint blockade (ICB) therapy response prediction provides remarkable genomic and transcriptomic gains and has successfully understood the molecular mechanisms underlying various cancers. However, only a subset of patients with advanced tumors currently benefits from ICB therapies, which at times incur considerable side effects and costs. Developing predictive tools for ICB response has remained a serious challenge because of the complexity of the immune response and the shortage of large cohorts of ICB-treated patients that include both omics and response data. Here, based on a pooled genomic dataset of 919 patients across multiple solid tumors treated with anti-PD-(L)1 or anti-CTLA-4, we constructed human leukocyte antigen class I (HLA-I)-mediated immunogenic neoantigen score (HINS). HINS is a predictor of ICB response using neoantigen quality and HLA evolutionary divergence to integrate the factors associated with immune activation and evasion. It yielded an overall accuracy of AUC=0.853, outperforming existing predictors and capturing more than 75% true responders. Experimental analysis indicated that patients with higher HINS were more likely to undergo survival benefits following ICB therapy. Our results highlighted the transcriptional and genomic correlations between HINS-identified molecule features and ICB response, such as immunoresponsive gene enrich pathways, favorable and unfavorable genomic subgroups, and hotspot somatic events in driver genes. This study presented an interpretable, accurate deep-learning method using meaningful predictive features to predict the response to ICB, providing biological insights into the complexity of the determinants underlying immunotherapy.

bioinformatics↗