Our aim was to develop a serodiagnostic marker for lung cancer. Monoclonal antibodies were generated, and one antibody designated as KU-Lu-1, recognizing cytoskeleton-associated protein 4 (CKAP4), was studied further. To evaluate the utility of KU-Lu-1 antibody as a serodiagnostic marker for lung cancer, reverse-phase protein array analysis was performed with sera of 271 lung cancer patients and 100 healthy controls. CKAP4 was detected in lung cancer cells and tissues, and its secretion into the culture supernatant was also confirmed. The serum CKAP4 levels of lung cancer patients were significantly higher than those of healthy controls (P < 0.0001), and the area under the curve of receiver-operating characteristic curve analysis was 0.890, with 81.1% sensitivity and 86.0% specificity. Furthermore, the serum CKAP4 levels were also higher in patients with stage I adenocarcinoma or squamous cell carcinoma than in healthy controls (P < 0.0001). Serum CKAP4 levels may differentiate lung cancer patients from healthy controls, and they may be detected early even in stage I non-small cell lung cancer. Serum CKAP4 levels were also significantly higher in lung cancer patients than in healthy controls in the validation set (P < 0.0001). The present results provide evidence that CKAP4 may be a novel early serodiagnostic marker for lung cancer.
NAP1L1 is a key regulator of embryonic neurogenesis but its role in lung cancer remains unexplored. In this study, we investigated the relationship between NAP1L1 expression and the clinicopathological parameters and prognosis of non-small cell lung cancer patients. To this end, the expression of NAP1L1 in tumor samples was evaluated by immunohistochemistry. NAP1L1 expression was significantly associated with reduced differentiation (P = 0.00014), higher pathological TNM stages (P < 0.00001), lymph node metastasis (P < 0.00001), intrapulmonary metastasis (P = 0.02955), lymphatic invasion (P = 0.00019), vascular invasion (P = 0.00008) and poorer prognosis (P = 0.0008) of patients with adenocarcinoma. Moreover, multivariate analyses using the Cox-proportional hazards model confirmed that NAP1L1 expression increased the risk of death after adjusting for other clinicopathological factors (HR = 2.46, 95% CI, 1.22-4.96). Furthermore, NAP1L1 expression was identified as an independent poor prognostic factor in patients with resectable stage I lung adenocarcinoma. NAP1L1-siRNA-treated lung adenocarcinoma-derived A549 cells showed significant suppression of proliferation, migration, and invasion abilities. These findings suggest that NAP1L1 may be a novel predictive and prognostic marker in lung adenocarcinoma, particularly in those with stage I of the disease.
vation of the immune system, with elevations in serum pro-inflammatory cytokines and chemokines, such as interleukin (IL)-6, IL-8 and tumor necrosis factor (TNF)-α. 3-5 The major source of these cytokines and chemokines has remained a mystery. A previous report analyzed the activation status of peripheral blood mononuclear cells (PBMNCs) by flow cytometry, DNA microarray and quantitative reverse transcription polymerase chain reaction (RT-PCR), finding evidence that the innate immune system appeared to play a role in the pathogenesis and pathophysiology of KD, but it also found that PBMNCs had a low expression of pro-inflammatory cytokine genes. 6 It has therefore been K awasaki disease (KD) is an acute febrile disorder characterized by systemic vasculitis and a high predilection for infants and young children. Although ~5 decades have passed since the disease was first described, 1 its etiology still remains unknown. Approximately 25% of untreated KD patients suffer from coronary artery abnormalities, but the frequency of coronary artery sequelae decreases to 2.8% if treatment with high-dose intravenous immunoglobulin (IVIG) is used. 2 However, ~10-20% of KD patients have persistent fever after this treatment and a high risk for coronary artery sequelae.KD in the acute phase is characterized by marked acti- Background: Approximately 10-20% of Kawasaki disease (KD) patients are resistant to intravenous immunoglobulin (IVIG) treatment. Further, these patients are at a particularly high risk of having coronary artery abnormalities. The mechanisms of IVIG resistance in KD have been analyzed using patient leukocytes, but not patient vascular endothelial cells (ECs). The present study clarifies the mechanisms of IVIG resistance in KD using an induced pluripotent stem cell (iPSC) disease model. Methods and Results:Dermal fibroblasts or peripheral blood mononuclear cells from 2 IVIG-resistant and 2 IVIG-responsive KD patients were reprogrammed by the episomal vector-mediated transduction of 6 reprogramming factors. KD patient-derived iPSCs were differentiated into ECs (iPSC-ECs). The gene expression profiles of iPSC-ECs generated from IVIG-resistant and IVIG-responsive KD patients were compared by RNA-sequencing analyses. We found that the expression of CXCL12 was significantly upregulated in iPSC-ECs from IVIG-resistant KD patients. Additionally, Gene Set Enrichment Analysis (GSEA) revealed that gene sets involved in interleukin (IL)-6 signaling were also upregulated. Conclusions:The first iPSC-based model for KD is reported here. Our mechanistic analyses suggest that CXCL12, which plays a role in leukocyte transmigration, is a key molecule candidate for IVIG resistance and KD severity. They also indicate that an upregulation of IL-6-related genes may be involved in this pathogenesis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.