1.Caspase Recruitment Domain Containing Protein 9 Suppresses Non-Small Cell Lung Cancer Proliferation and Invasion via Inhibiting MAPK/p38 Pathway
Linyue PAN ; Yuting TAN ; Bin WANG ; Wenjia QIU ; Yulei YIN ; Haiyan GE ; Huili ZHU
Cancer Research and Treatment 2020;52(3):867-885
Purpose:
Caspase recruitment domain containing protein 9 (CARD9) has been demonstrated to be a pro-tumor factor in various cancers. However, our previous study found a significant decrease of CARD9 in malignant pleural effusion compared with benign pleural effusion. So we investigated the role of CARD9 in non-small cell lung cancer (NSCLC) and its working mechanism.
Materials and Methods:
Immunohistochemistry, western blot, and quantitative real-time polymerase chain reaction were used to detect the expression of CARD9 in specimens of NSCLC patients. The Cancer Genome Atlas (TCGA) databasewas also used to analyze the expression of CARD9 in NSCLC and its predicting value for prognosis. Immunofluorescence was used for CARD9 cellular location. Cell growth assay, clonal formation assay, wound healing assay, matrigel invasion assay, and flow cytometry were used to test cell proliferation, migration, invasion, apoptosis, and cycle progression of NSCLC cells with CARD9 knockdown or CARD9 overexpression. Co-immunoprecipitation was used to identify the interaction between CARD9 and B-cell lymphoma 10 (BCL10). SB203580 was used to inhibit p38 activation.
Results:
CARD9 was decreased in NSCLC tissues compared with normal tissues; low CARD9 expression was associated with poor survival. CARD9 was expressed both in tumor cells and macrophages. Downregulation of CARD9 in NSCLC cells enhanced the abilities of proliferation, invasion and migration via activated MAPK/p38 signaling, while overexpression of CARD9 presented antitumor effects. BCL10 was identified to interact with CARD9.
Conclusion
We demonstrate that CARD9 is an independent prognostic factor in NSCLC patients and inhibits proliferation, migration, and invasion by suppressing MAPK/p38 pathway in NSCLC cells.
2.Effects of attribution training in stroke patients
Ruili MA ; Wenting LI ; Yating ZHOU ; Ting QIU ; Wenjia SUN ; Xu ZHOU
Chinese Journal of Modern Nursing 2022;28(31):4413-4417
Objective:To explore the effects of attribution training on coping style, stigma, quality of life and negative emotions of stroke patients.Methods:From June 2019 to June 2020, 85 patients with ischemic stroke admitted to the First Affiliated Hospital of Zhengzhou University were selected by simple random sampling. The patients were randomly divided into the control group (42 cases) and the observation group (43 cases) . The control group was given routine nursing, while the observation group received attribution training on the basis of the control group. Before and one and three months after the intervention, the patients in the two groups were evaluated with the Attributional Style Questionnaire (ASQ) , the Stigma Scale for Chronic Illness-8 (SSCI-8) , the World Health Organization Quality of Life-100 (WHOQOL-100) , the Self-Rating Anxiety Scale (SAS) , and the Self-Rating Depression Scale (SDS) .Results:There were statistical differences between the two groups in time main effect, intervention main effect, interaction between intervention and time of ASQ, SSCI-8, WHOQOL-100 scores ( P<0.05) . Before intervention, there was no statistical difference in SAS and SDS scores between the two groups ( P>0.05) . Three months after the intervention, the SAS and SDS scores of the two groups were lower than those before the intervention, and those of the observation group were lower than those of the control group, and the differences were statistically significant ( P<0.05) . Conclusions:Attribution training can effectively improve the coping style of stroke patients, improve their quality of life, reduce patients' stigma, anxiety and depression, which is worthy of clinical promotion.
3.Homoharringtonine promotes heart allograft acceptance by enhancing regulatory T cells induction in a mouse model
Xia QIU ; Hedong ZHANG ; Zhouqi TANG ; Yuxi FAN ; Wenjia YUAN ; Chen FENG ; Chao CHEN ; Pengcheng CUI ; Yan CUI ; Zhongquan QI ; Tengfang LI ; Yuexing ZHU ; Liming XIE ; Fenghua PENG ; Tuo DENG ; Xin JIANG ; Longkai PENG ; Helong DAI
Chinese Medical Journal 2024;137(12):1453-1464
Background::Homoharringtonine (HHT) is an effective anti-inflammatory, anti-viral, and anti-tumor protein synthesis inhibitor that has been applied clinically. Here, we explored the therapeutic effects of HHT in a mouse heart transplant model.Methods::Healthy C57BL/6 mice were used to observe the toxicity of HHT in the liver, kidney, and hematology. A mouse heart transplantation model was constructed, and the potential mechanism of HHT prolonging allograft survival was evaluated using Kaplan–Meier analysis, immunostaining, and bulk RNA sequencing analysis. The HHT-T cell crosstalk was modeled ex vivo to further verify the molecular mechanism of HHT-induced regulatory T cells (Tregs) differentiation. Results::HHT inhibited the activation and proliferation of T cells and promoted their apoptosis ex vivo. Treatment of 0.5 mg/kg HHT for 10 days significantly prolonged the mean graft survival time of the allografts from 7 days to 48 days ( P <0.001) without non-immune toxicity. The allografts had long-term survival after continuous HHT treatment for 28 days. HHT significantly reduced lymphocyte infiltration in the graft, and interferon-γ-secreting CD4 + and CD8 + T cells in the spleen ( P <0.01). HHT significantly increased the number of peripheral Tregs (about 20%, P <0.001) and serum interleukin (IL)-10 levels. HHT downregulated the expression of T cell receptor (TCR) signaling pathway-related genes ( CD4, H2-Eb1, TRAT1, and CD74) and upregulated the expression of IL-10 and transforming growth factor (TGF) -β pathway-related genes and Treg signature genes ( CTLA4, Foxp3, CD74, and ICOS). HHT increased CD4 + Foxp3 + cells and Foxp3 expression ex vivo, and it enhanced the inhibitory function of inducible Tregs. Conclusions::HHT promotes Treg cell differentiation and enhances Treg suppressive function by attenuating the TCR signaling pathway and upregulating the expression of Treg signature genes and IL-10 levels, thereby promoting mouse heart allograft acceptance. These findings may have therapeutic implications for organ transplant recipients, particularly those with viral infections and malignancies, which require a more suitable anti-rejection medication.
4.Clinical characteristics of cryptococcal meningitis patients with anti-granulocyte-macrophage colony-stimulating factor autoantibodies
Yu LUO ; Rongsheng ZHU ; Jiahui CHENG ; Linghong ZHOU ; Wenjia QIU ; Juntian HUANG ; Yingkui JIANG ; Xuan WANG ; Huazhen ZHAO ; Liping ZHU
Chinese Journal of Infectious Diseases 2023;41(8):495-501
Objective:To investigate the clinical characteristics and prognosis of cryptococcal meningitis patients with anti-granulocyte-macrophage colony-stimulating factor (GM-CSF) autoantibodies.Methods:A total of 216 non-acquired immunodeficiency syndrome (AIDS) related cryptococcal meningitis cases with positive cultures of Cryptococcus, hospitalized at Huashan Hospital, Fudan University during January 2014 and December 2021, were retrospectively included. The serum anti-GM-CSF autoantibodies were detected by enzyme linked immunosorbent assay, and the clinical characteristics and prognosis were compared between patients with and without anti-GM-CSF autoantibodies. Statistical comparisons were mainly performed using the chi-square test or Fisher′s exact test. Cox proportional-hazards model was used to analyze the risk factors associated with prognosis. Results:Among 216 enrolled patients, 23 patients were positive of anti-GM-CSF autoantibodies, with a positive rate of 10.6%. Among 23 patients, seven cases were infected with Cryptococcus gattii, and 16 cases were infected with Cryptococcus neoformans. In the group with positive anti-GM-CSF autoantibodies, 30.4%(7/23) of the patients were infected with Cryptococcus gattii, which was higher than that of 1.6%(3/193) in the group with negative anti-GM-CSF autoantibodies, and the difference was statistically significant ( χ2=38.82, P<0.001). In the group with positive anti-GM-CSF autoantibodies, 30.0% (6/20) had mass lesions with a diameter greater than three centimeters in the lungs, and the one-year all-cause mortality rate was 50.0% (10/20), which were both higher than those of 3.4%(5/145) and 16.1% (29/180) in the negative group, respectively. The differences were both statistically significant (both Fisher′s exact test, P<0.01). Age≥60 years (hazard ratio ( HR)=4.146, P=0.002), predisposing factors ( HR=3.160, P=0.021), epilepsy ( HR=6.129, P=0.002), positive anti-GM-CSF autoantibodies ( HR=2.675, P=0.034), white blood cell count of cerebrospinal fluid (CSF)<100 ×10 6/L ( HR=2.736, P=0.039), the titers of cryptococcal capsular polysaccharide antigen of CSF≥1∶1 280 ( HR=4.361, P=0.009) were independent risk factors for one-year all-cause mortality in patients with cryptococcal meningitis. Conclusions:In non-AIDS related cryptococcal meningitis patients, the positive rate of serum anti-GM-CSF autoantibodies is as high as 10.6%. Patients with anti-GM-CSF autoantibodies could be infected with both Cryptococcus neoformans and Cryptococcus gattii, and they have higher proportion of lung mass lesions than patients with negative anti-GM-CSF autoantibodies. The one-year survival rate decreases significantly in patients with anti-GM-CSF autoantibodies, which is an independent risk factor for the prognosis of cryptococcal meningitis.
5.Preliminary bioinformatics analyses of the expression and function of AGR2 in human breast cancer
QIU Yiran ; LIU Wenjia ; YU Yue ; CAO Xuchen
Chinese Journal of Cancer Biotherapy 2020;27(3):302-308
Objective: To explore the expression of AGR2 gene in breast cancer as well as to predict its relevant biological functions and molecular signaling pathways with bioinformatics tool. Methods: The expression of AGR2 in breast cancer tissues and normal tissues was analyzed in Oncomine and GEPIA databases, and the expression of AGR2 in breast cancer cell lines was evaluated in CCLE database. Meanwhile, HPA database was used to analyze the expression of AGR2 protein in normal and breast cancer tissues. Besides, the gene expression microarray data download from CCLE database was analyzed by using R software to obtain genes co-expressed withAGR2. Functional annotation ofAGR2 co-expressed genes was performed by using GO Enrichment and KEGG pathway analyses. Results: Oncomine and GEPIA databases showed that AGR2 gene was highly expressed in breast cancer tissues, and CCLE database analysis showed that AGR2 was highly expressed in all breast cancer cell lines. Immunohistochemistry results from the HPA database showed that the expression of AGR2 protein was significantly higher in breast cancer tissues compared with normal tissues. A total of 946 genes co-expressed with AGR2 in breast cancer were screened out with the R software. With the GO function Enrichment analysis, the co-expressed genes were demonstrated to be mainly involved in biological functions, such as protein localization to cell periphery, protein localization to plasma membrane, cell junction assembly, cell-substrate adhesion, and cell junction organization etc. In addition, the KEGG analysis results showed that co-expressed genes were mainly involved in the progression of gastric cancer and breast cancer, and were associated with proteoglycans in cancer, as well as proline, leucine and isoleucine degradation pathways. Conclusions:AGR2 is highly expressed in breast cancer tissues, which may be a potential oncogenic gene and a new therapeutic target of breast cancer.