RESUMEN
Self and nonself discrimination is fundamental to immunity. However, it remains largely enigmatic how the mechanisms of distinguishing nonself from self originated. As an intracellular nucleic acid sensor, protein kinase R (PKR) recognizes double-stranded RNA (dsRNA) and represents a crucial component of antiviral innate immunity. Here, we combine phylogenomic and functional analyses to show that PKR proteins probably originated from a preexisting kinase protein through acquiring dsRNA binding domains at least before the last common ancestor of jawed vertebrates during or before the Silurian period. The function of PKR appears to be conserved across jawed vertebrates. Moreover, we repurpose a protein closely related to PKR proteins into a putative dsRNA sensor, recapturing the making of PKR. Our study illustrates how a nucleic acid sensor might have originated via molecular tinkering with preexisting proteins and provides insights into the origins of innate immunity.
Asunto(s)
Evolución Molecular , Filogenia , Vertebrados , eIF-2 Quinasa , Animales , Vertebrados/genética , eIF-2 Quinasa/metabolismo , eIF-2 Quinasa/genética , ARN Bicatenario/metabolismo , Inmunidad Innata , Humanos , Ácidos Nucleicos/metabolismo , Evolución BiológicaRESUMEN
We previously identified that serum EFNA1 and MMP13 were potential biomarker for early detection of esophageal squamous cell carcinoma. In this study, our aim is to explore the diagnostic value of serum EFNA1 and MMP13 for gastric cancer. We used enzyme-linked immunosorbent assay (ELISA) to detect the expression levels of serum EFNA1 and MMP13 in 210 GCs and 223 normal controls. The diagnostic value of EFNA1 and MMP13 was evaluated in an independent cohorts of GC patients and normal controls (n = 238 and 195, respectively). Receiver operating characteristics were used to calculate diagnostic accuracy. In training and validation cohorts, serum EFNA1 and MMP13 levels in the GC groups were significantly higher than those in the normal controls (P < 0.001). The area under the curve (AUC) of the combined detection of serum EFNA1 and MMP13 for GC was improved (0.794), compared with single biomarker used. Similar results were observed in the validation cohort. Importantly, the combined measurement of serum EFNA1 and MMP13 to detect early-stage GC also had acceptable diagnostic accuracy in training and validation cohort. Combined detection of serum EFNA1 and MMP13 could help identify early-stage GC, suggesting that it may be a promising tool for the early detection of GC.
Asunto(s)
Biomarcadores de Tumor , Metaloproteinasa 13 de la Matriz , Neoplasias Gástricas , Humanos , Neoplasias Gástricas/sangre , Neoplasias Gástricas/diagnóstico , Biomarcadores de Tumor/sangre , Femenino , Masculino , Persona de Mediana Edad , Metaloproteinasa 13 de la Matriz/sangre , Anciano , Curva ROC , Adulto , Estudios de Casos y Controles , Detección Precoz del Cáncer/métodosRESUMEN
Desmoglein-2 (DSG2) is a transmembrane glycoprotein belonging to the desmosomal cadherin family, which mediates cell-cell junctions; regulates cell proliferation, migration, and invasion; and promotes tumor development and metastasis. We previously showed serum DSG2 to be a potential biomarker for the diagnosis of esophageal squamous cell carcinoma (ESCC), although the significance and underlying molecular mechanisms were not identified. Here, we found that DSG2 was increased in ESCC tissues compared with adjacent tissues. In addition, we demonstrated that DSG2 promoted ESCC cell migration and invasion. Furthermore, using interactome analysis, we identified serine/threonine-protein kinase D2 (PRKD2) as a novel DSG2 kinase that mediates the phosphorylation of DSG2 at threonine 730 (T730). Functionally, DSG2 promoted ESCC cell migration and invasion dependent on DSG2-T730 phosphorylation. Mechanistically, DSG2 T730 phosphorylation activated EGFR, Src, AKT, and ERK signaling pathways. In addition, DSG2 and PRKD2 were positively correlated with each other, and the overall survival time of ESCC patients with high DSG2 and PRKD2 was shorter than that of patients with low DSG2 and PRKD2 levels. In summary, PRKD2 is a novel DSG2 kinase, and PRKD2-mediated DSG2 T730 phosphorylation promotes ESCC progression. These findings may facilitate the development of future therapeutic agents that target DSG2 and DSG2 phosphorylation. © 2024 The Pathological Society of Great Britain and Ireland.
Asunto(s)
Neoplasias Esofágicas , Carcinoma de Células Escamosas de Esófago , Humanos , Carcinoma de Células Escamosas de Esófago/metabolismo , Fosforilación , Proteína Quinasa D2 , Neoplasias Esofágicas/patología , Línea Celular Tumoral , Proliferación Celular/fisiología , Serina , Movimiento Celular/fisiología , Regulación Neoplásica de la Expresión Génica , Desmogleína 2/genética , Desmogleína 2/metabolismoRESUMEN
Our previous study showed that levels of circulating insulin-like growth factor binding protein-1 (IGFBP-1) has potential diagnostic value for early-stage upper gastrointestinal cancers. This study aimed to assess whether serum IGFBP-1 is a potential diagnostic and prognostic biomarker for CRC patients. IGFBP-1 mRNA expression profile data of peripheral blood in colorectal cancer (CRC) patients were downloaded and analyzed from Gene Expression Omnibus database. We detected serum IGFBP-1 in 138 CRC patients and 190 normal controls using enzyme-linked immunosorbent assay. Blood IGFBP-1 mRNA levels were higher in CRC patients than those in normal controls (P = 0.027). In addition, serum IGFBP-1 protein levels in the CRC group were significantly higher than those in normal control group (P < 0.0001). Serum IGFBP-1 demonstrated better diagnostic accuracy for all CRC and early-stage CRC, respectively, when compared with carcinoembryonic antigen (CEA), carbohydrate antigen19-9 (CA 19-9) or the combination of CEA and CA19-9. Furthermore, Cox multivariate analysis revealed that serum IGFBP-1 was an independent prognostic factor for OS (HR = 2.043, P = 0.045). Our study demonstrated that serum IGFBP-1 might be a potential biomarker for the diagnosis and prognosis of CRC. In addition, the nomogram might be helpful to predict the prognosis of CRC.