RESUMEN
The detection of serum Epstein-Barr virus antibodies by immunofluorescence assay (IFA) is considered the gold standard screening test for nasopharyngeal cancer (NPC) in high-risk populations. Given the high survival rate after early detection in asymptomatic patients, compared to the poor prognosis in patients with late-stage NPC, screening using IFA has tremendous potential for saving lives in the general population. However, IFA requires visual interpretation of cellular staining patterns by trained pathology staff, making it labor intensive and hence nonscalable. In this study, an automated fuzzy inference (FI) system achieved high agreement with a human IFA expert in identifying cellular patterns associated with NPC (κ = 0.82). The integration of a deep learning module into FI further improved the performance of FI (κ = 0.90) and reduced the number of uncertain cases that required manual evaluation. The performance of the resulting hybrid model, termed deep learning FI (DeLFI), was then evaluated with a separate testing set of clinical samples. In this clinical validation, DeLFI outperformed human evaluation on the area under the curve (0.926 versus 0.821) and closely matched human performance on Youden J index (0.81 versus 0.80). Data from this study indicate that the combination of deep learning with FI in DeLFI has the potential to improve the scalability and accuracy of NPC detection.
Asunto(s)
Aprendizaje Profundo , Infecciones por Virus de Epstein-Barr , Neoplasias Nasofaríngeas , Técnica del Anticuerpo Fluorescente Indirecta , Herpesvirus Humano 4 , Humanos , Carcinoma Nasofaríngeo , Neoplasias Nasofaríngeas/diagnósticoRESUMEN
Non-keratinizing nasopharyngeal carcinoma (NPC) is a malignancy with a poor prognosis for relapsing patients and those with metastatic disease. Here, we identify a novel disease mechanism of NPC which may be its Achilles' heel that makes it susceptible to immunotherapy. CD137 is a potent costimulatory receptor on activated T cells, and CD137 agonists strongly enhance anti-tumor immune responses. A negative feedback mechanism prevents overstimulation by transferring CD137 from T cells to CD137 ligand (CD137L)-expressing antigen presenting cells (APC) during cognate interaction, upon which the CD137-CD137L complex is internalized and degraded. We found ectopic expression of CD137 on 42 of 122 (34.4%) NPC cases, and that CD137 is induced by the Epstein-Barr virus latent membrane protein (LMP) 1. CD137 expression enables NPC to hijack the inbuilt negative feedback mechanism to downregulate the costimulatory CD137L on APC, facilitating its escape from immune surveillance. Further, the ectopically expressed CD137 signals into NPC cells via the p38-MAPK pathway, and induces the expression of IL-6, IL-8 and Laminin γ2. As much as ectopic CD137 expression may support the growth and spread of NPC, it may be a target for its immunotherapeutic elimination. Natural killer cells that express a CD137-specific chimeric antigen receptor induce death in CD137+ NPC cells, in vitro, and in vivo in a murine xenograft model. These data identify a novel immune escape mechanism of NPC, and lay the foundation for an urgently needed immunotherapeutic approach for NPC.
Asunto(s)
Infecciones por Virus de Epstein-Barr , Neoplasias Nasofaríngeas , Receptores Quiméricos de Antígenos , Ligando 4-1BB , Animales , Herpesvirus Humano 4 , Humanos , Interleucina-6 , Interleucina-8 , Laminina , Ratones , Carcinoma Nasofaríngeo , Recurrencia Local de Neoplasia , Miembro 9 de la Superfamilia de Receptores de Factores de Necrosis TumoralRESUMEN
Nasopharyngeal carcinoma (NPC) is closely associated with Epstein-Barr Virus infection (EBV). Despite ubiquitous EBV infection worldwide, NPC displays a unique geographical distribution in Southern China and Southeast Asia. This observed phenomenon can be attributed to the interplay of different strains of EBV infection with host genetics and environmental factors. Polymorphisms on the EBV BALF2 gene have been shown to influence risk of nasopharyngeal carcinoma (NPC). Notably, two non-synonymous EBV polymorphisms (162476T>C, 163364C>T) account for majority of NPC risk in endemic regions. These polymorphisms confer amino acid changes (I1613V, V317M) within the BALF2 protein. However, their impact on NPC tumor biology is unknown. We evaluated the distribution of BALF2 risk polymorphisms in five independent genomic datasets comprising 351 NPC clinical samples, confirming the high prevalence of high-risk EBV strains in NPC. Importantly, we observed two biologically distinct groups of tumors based on their gene expression profiles when grouped by their EBV risk strains. NPC tumors with the V317M substitution demonstrated increased proliferation processes including cell cycle (NES = 1.71, p = 5.64x10-24) and keratinization (NES = 2.42, p = 6.95x10-17). In contrast, NPC tumors without the V317M substitution demonstrated increased immune-related processes, including cell activation (NES = 1.85, p = 8.29x10-31), myeloid leukocyte activation (NES = 2.16, p = 6.51x10-24) and leukocyte mediated immunity (NES = 1.99, p = 1.05x10-23). These findings provide further insight on the influence of BALF2 variants on NPC tumor biology. EBV risk strains may have the potential to define biologically important groups in NPC.
Asunto(s)
Infecciones por Virus de Epstein-Barr , Herpesvirus Humano 4 , Carcinoma Nasofaríngeo , Neoplasias Nasofaríngeas , Humanos , Carcinoma Nasofaríngeo/virología , Carcinoma Nasofaríngeo/genética , Herpesvirus Humano 4/genética , Herpesvirus Humano 4/aislamiento & purificación , Neoplasias Nasofaríngeas/virología , Neoplasias Nasofaríngeas/genética , Infecciones por Virus de Epstein-Barr/complicaciones , Infecciones por Virus de Epstein-Barr/virología , Proteínas Virales/genética , Proteínas Virales/metabolismo , Masculino , Polimorfismo de Nucleótido Simple , Femenino , Regulación Neoplásica de la Expresión GénicaRESUMEN
Nasopharyngeal cancer (NPC) is an Epstein-Barr virus (EBV)-positive epithelial malignancy with an extensive inflammatory infiltrate. Traditional RNA-sequencing techniques uncovered only microenvironment signatures, while the gene expression of the tumor epithelial compartment has remained a mystery. Here, we use Smart-3SEQ to prepare transcriptome-wide gene expression profiles from microdissected NPC tumors, dysplasia, and normal controls. We describe changes in biological pathways across the normal to tumor spectrum and show that fibroblast growth factor (FGF) ligands are overexpressed in NPC tumors, while negative regulators of FGF signaling, including SPRY1, SPRY2, and LGALS3, are down-regulated early in carcinogenesis. Within the NF-κB signaling pathway, the critical noncanonical transcription factors, RELB and NFKB2, are enriched in the majority of NPC tumors. We confirm the responsiveness of EBV-positive NPC cell lines to targeted inhibition of these pathways, reflecting the heterogeneity in NPC patient tumors. Our data comprehensively describe the gene expression landscape of NPC and unravel the mysteries of receptor tyrosine kinase and NF-κB pathways in NPC.
Asunto(s)
Infecciones por Virus de Epstein-Barr , Neoplasias Nasofaríngeas , Línea Celular Tumoral , Infecciones por Virus de Epstein-Barr/genética , Infecciones por Virus de Epstein-Barr/patología , Factores de Crecimiento de Fibroblastos/metabolismo , Expresión Génica , Herpesvirus Humano 4/genética , Herpesvirus Humano 4/metabolismo , Humanos , Péptidos y Proteínas de Señalización Intracelular/genética , Proteínas de la Membrana/metabolismo , FN-kappa B/metabolismo , Carcinoma Nasofaríngeo/genética , Neoplasias Nasofaríngeas/genética , Neoplasias Nasofaríngeas/metabolismo , Neoplasias Nasofaríngeas/patología , Transducción de Señal , Microambiente TumoralRESUMEN
Rapid diagnostics of adventitious agents in biopharmaceutical/cell manufacturing release testing and the fight against viral infection have become critical. Quantitative real-time PCR and CRISPR-based methods rapidly detect DNA/RNA in 1 h but suffer from inter-site variability. Absolute quantification of DNA/RNA by methods such as digital PCR reduce this variability but are currently too slow for wider application. Here, we report a RApid DIgital Crispr Approach (RADICA) for absolute quantification of nucleic acids in 40-60 min. Using SARS-CoV-2 as a proof-of-concept target, RADICA allows for absolute quantification with a linear dynamic range of 0.6-2027 copies/µL (R2 value > 0.99), high accuracy and low variability, no cross-reactivity to similar targets, and high tolerance to human background DNA. RADICA's versatility is validated against other targets such as Epstein-Barr virus (EBV) from human B cells and patients' serum. RADICA can accurately detect and absolutely quantify EBV DNA with similar dynamic range of 0.5-2100 copies/µL (R2 value > 0.98) in 1 h without thermal cycling, providing a 4-fold faster alternative to digital PCR-based detection. RADICA therefore enables rapid and sensitive absolute quantification of nucleic acids which can be widely applied across clinical, research, and biomanufacturing areas.