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Tuerhong A, Xu J, Wang W, Shi S, Meng Q, Hua J, Liu J, Zhang B, Yu X, Liang C. CPT1B maintains redox homeostasis and inhibits ferroptosis to induce gemcitabine resistance via the KEAP1/NRF2 axis in pancreatic cancer. Surgery 2024; 175:1264-1275. [PMID: 38302326 DOI: 10.1016/j.surg.2023.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/31/2023] [Accepted: 12/16/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND Although we have made progress in treatment and have increased the 5-year survival by ≤30% in pancreatic cancer, chemotherapy resistance remains a major obstacle. However, whether reprogrammed lipid metabolism contributes to chemoresistance still needs to be further studied. METHODS Gene expression was determined using Western blotting and quantitative reverse transcription polymerase chain reaction. Cell cloning formation assay, Cell Counting Kit-8, EdU assay, wound healing assay, transwell assay, and flow cytometry were used to detect apoptosis, cell proliferation capacity, migration capacity, and cytotoxicity of gemcitabine. Confocal fluorescence microscopy, transmission electron microscopy, etc., were used to detect the changes in intracellular reactive oxygen species, glutathione, lipid peroxidation level, and cell morphology. An animal study was performed to evaluate the effect of CPT1B knockdown on tumor growth and gemcitabine efficacy. RESULTS In our study, we observed that the CPT1B expression level was higher in pancreatic ductal adenocarcinoma tissues than in normal tissues and correlated with a low rate of survival. Moreover, silencing of CPT1B significantly suppressed the proliferative ability and metastasis of pancreatic cancer cells. Furthermore, we discovered that CPT1B interacts with Kelch-like ECH-associated protein 1, and CPT1B knockdown led to decreased NRF2 expression and ferroptosis induction. In addition, CPT1B expression increased after gemcitabine treatment, and it was highly expressed in gemcitabine-resistant pancreatic ductal adenocarcinoma cells. Finally, we discovered that ferroptosis induced by CPT1B knockdown enhanced the gemcitabine toxicity in pancreatic ductal adenocarcinoma. CONCLUSION CPT1B may act as a promising target in treating patients with gemcitabine-resistant pancreatic ductal adenocarcinoma .
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Affiliation(s)
- Abudureyimu Tuerhong
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China.
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, China; Department of Oncology, Shanghai Medical College, Fudan University, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China; Shanghai Pancreatic Cancer Institute, Shanghai, China.
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Zhu H, Xu J, Wang W, Zhang B, Liu J, Liang C, Hua J, Meng Q, Yu X, Shi S. Intratumoral CD38 +CD19 +B cells associate with poor clinical outcomes and immunosuppression in patients with pancreatic ductal adenocarcinoma. EBioMedicine 2024; 103:105098. [PMID: 38608514 PMCID: PMC11017281 DOI: 10.1016/j.ebiom.2024.105098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 03/13/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND The widespread involvement of tumor-infiltrating B cells highlights their potential role in tumor behavior. However, B cell heterogeneity in PDAC remains unexplored. Studying TIL-Bs in PDAC aims to identify new treatment strategies. METHODS We performed single-cell RNA sequencing to study the heterogeneity of B cells in PDAC. The prognostic and immunologic value of the identified CD38+ B cells was explored in FUSCC (n = 147) and TCGA (n = 176) cohorts. Flow cytometry was conducted to characterize the relationship between CD38+ B cells and other immune cells, as well as their phenotypic features. In vitro and in vivo experiments were performed to assess the putative effect of CD38+ B cells on antitumor immunity. FINDINGS The presence of CD38+ B cells in PDAC was associated with unfavorable clinicopathological features and poorer overall survival (p < 0.001). Increased infiltration of CD38+ B cells was accompanied by reduced natural killer (NK) cells (p = 0.021) and increased regulatory T cells (p = 0.016). Molecular profiling revealed high expression of IL-10, IL-35, TGF-β, GZMB, TIM-1, CD5 and CD21, confirming their putative regulatory B cell-like features. Co-culture experiments demonstrated suppression of NK cell cytotoxicity by CD38+ B cell-derived IL-10 (p < 0.001). Finally, in vivo experiments suggested adoptive transfer of CD38+ B cells reduced antitumor immunity and administration of a CD38 inhibitor hampered tumor growth (p < 0.001). INTERPRETATION We discovered regulatory B cell-like CD38+ B cell infiltration as an independent prognostic factor in PDAC. The use of CD38 inhibitor may provide new possibilities for PDAC immunotherapy. FUNDING This study was supported by the National Natural Science Foundation of China (U21A20374), Shanghai Municipal Science and Technology Major Project (21JC1401500), Scientific Innovation Project of Shanghai Education Committee (2019-01-07-00-07-E00057), Special Project for Clinical Research in the Health Industry of the Shanghai Health Commission (No. 20204Y0265) and Natural Science Foundation of Shanghai (23ZR1479300).
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Affiliation(s)
- Heng Zhu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.
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Zhao J, Hua J, Zhan Y, Chen C, Liu Y, Yang L, Wang H, Wang H, Li J. O-GlcNAcylation stimulates the deubiquitination activity of USP16 and regulates cell cycle progression. J Biol Chem 2024; 300:107150. [PMID: 38462164 PMCID: PMC10998217 DOI: 10.1016/j.jbc.2024.107150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/14/2024] [Accepted: 02/26/2024] [Indexed: 03/12/2024] Open
Abstract
Histone 2A monoubiquitination (uH2A) underscores a key epigenetic regulation of gene expression. In this report, we show that the deubiquitinase for uH2A, ubiquitin-specific peptidase 16 (USP16), is modified by O-linked N-acetylglucosamine (O-GlcNAc). O-GlcNAcylation involves the installation of the O-GlcNAc moiety to Ser/Thr residues. It crosstalks with Ser/Thr phosphorylation, affects protein-protein interaction, alters enzyme activity or protein folding, and changes protein subcellular localization. In our study, we first confirmed that USP16 is glycosylated on Thr203 and Ser214, as reported in a previous chemoenzymatic screen. We then discovered that mutation of the O-GlcNAcylation site Thr203, which is adjacent to deubiquitination-required Cys204, reduces the deubiquitination activity toward H2AK119ub in vitro and in cells, while mutation on Ser214 had the opposite effects. Using USP16 Ser552 phosphorylation-specific antibodies, we demonstrated that O-GlcNAcylation antagonizes cyclin-dependent kinase 1-mediated phosphorylation and promotes USP16 nuclear export. O-GlcNAcylation of USP16 is also required for deubiquitination of Polo-like kinase 1, a mitotic master kinase, and the subsequent chromosome segregation and cytokinesis. In summary, our study revealed that O-GlcNAcylation of USP16 at Thr203 and Ser214 coordinates deubiquitination of uH2A and Polo-like kinase 1, thus ensuring proper cell cycle progression.
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Affiliation(s)
- Jianxin Zhao
- Beijing Key Laboratory of DNA Damage Response and College of Life Science, Capital Normal University, Beijing, China
| | - Jie Hua
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA; School of Life Sciences, Fudan University, Shanghai, China
| | - Yahui Zhan
- Beijing Key Laboratory of DNA Damage Response and College of Life Science, Capital Normal University, Beijing, China
| | - Chunxu Chen
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA; Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA; Department of Bioengineering, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Yue Liu
- Beijing Key Laboratory of DNA Damage Response and College of Life Science, Capital Normal University, Beijing, China
| | - Liqian Yang
- Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Haiying Wang
- Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Biophysics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
| | - Hengbin Wang
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA; Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA; Division of Hematology, Oncology, and Palliative Care, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.
| | - Jing Li
- Beijing Key Laboratory of DNA Damage Response and College of Life Science, Capital Normal University, Beijing, China.
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Chen L, Hua J, He X. Bioinformatics analysis identifies a key gene HLA_DPA1 in severe influenza-associated immune infiltration. BMC Genomics 2024; 25:257. [PMID: 38454348 PMCID: PMC10918912 DOI: 10.1186/s12864-024-10184-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 03/04/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Severe influenza is a serious global health issue that leads to prolonged hospitalization and mortality on a significant scale. The pathogenesis of this infectious disease is poorly understood. Therefore, this study aimed to identify the key genes associated with severe influenza patients necessitating invasive mechanical ventilation. METHODS The current study utilized two publicly accessible gene expression profiles (GSE111368 and GSE21802) from the Gene Expression Omnibus database. The research focused on identifying the genes exhibiting differential expression between severe and non-severe influenza patients. We employed three machine learning algorithms, namely the Least Absolute Shrinkage and Selection Operator regression model, Random Forest, and Support Vector Machine-Recursive Feature Elimination, to detect potential key genes. The key gene was further selected based on the diagnostic performance of the target genes substantiated in the dataset GSE101702. A single-sample gene set enrichment analysis algorithm was applied to evaluate the participation of immune cell infiltration and their associations with key genes. RESULTS A total of 44 differentially expressed genes were recognized; among them, we focused on 10 common genes, namely PCOLCE2, HLA_DPA1, LOC653061, TDRD9, MPO, HLA_DQA1, MAOA, S100P, RAP1GAP, and CA1. To ensure the robustness of our findings, we employed overlapping LASSO regression, Random Forest, and SVM-RFE algorithms. By utilizing these algorithms, we were able to pinpoint the aforementioned 10 genes as potential biomarkers for distinguishing between both cases of influenza (severe and non-severe). However, the gene HLA_DPA1 has been recognized as a crucial factor in the pathological condition of severe influenza. Notably, the validation dataset revealed that this gene exhibited the highest area under the receiver operating characteristic curve, with a value of 0.891. The use of single-sample gene set enrichment analysis has provided valuable insights into the immune responses of patients afflicted with severe influenza that have further revealed a categorical correlation between the expression of HLA_DPA1 and lymphocytes. CONCLUSION The findings indicated that the HLA_DPA1 gene may play a crucial role in the immune-pathological condition of severe influenza and could serve as a promising therapeutic target for patients infected with severe influenza.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Taikang Xianlin Drum Tower Hospital, Affiliated Hospital of Medical College of Nanjing University, No 188, Lingshan North Road, Qixia District, Nanjing, 210046, China.
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Ma X, Chen Y, Liu Y, Cheng TT, Chen X, Zeng C, Hua J, Wang SY, Xu YJ. [Haploidentical donor peripheral blood stem cell transplantation using third-party cord blood compared with matched unrelated donor transplantation for patients with hematologic malignancies]. Zhonghua Xue Ye Xue Za Zhi 2024; 45:141-147. [PMID: 38604790 DOI: 10.3760/cma.j.cn121090-20230928-00149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Objectives: To assess the efficacy of cord blood-assisted haploid peripheral blood stem cell transplantation (haplo-cord-PBSCT) versus unrelated donor peripheral blood stem cell transplantation (UD-PBSCT) in the treatment of malignant hematological diseases. Methods: A retrospective analysis was performed on one hundred and four patients with malignant hematological diseases who underwent haplo-cord-PBSCT and fifty-two patients who underwent UD-PBSCT at Xiangya Hospital of Central South University between January 2016 and December 2021. Results: ①The median implantation time for neutrophils in the haplo-cord-PBSCT and UD-PBSCT groups was 13 (9-22) days and 13 (10-24) days, respectively (P=0.834), whereas the median implantation time for platelets was 15 (7-103) days and 14 (8-38) days, respectively (P=0.816). The cumulative implantation rate of neutrophils at 30 days after transplantation in the haplo-cord-PBSCT group and the UD-PBSCT group was 100% (P=0.314), and the cumulative platelet implantation rate at 100 days after transplantation was 95.2% (95% CI 88.3% - 98.1% ) and 100% (P=0.927), respectively. 30 days after transplantation, both groups of patients achieved complete donor chimerism, and no umbilical cord blood stem cells were implanted. ②The cumulative incidence rates of grade Ⅱ-Ⅳ acute GVHD within 100 days after transplantation in the haplo-cord-PBSCT group and the UD-PBSCT group were 29.1% (95% CI 20.1% -38.1% ) and 28.8% (95% CI 17.2% -41.6% (P=0.965), respectively. The cumulative incidence rates of grade Ⅲ/Ⅳ acute GVHD were 7.8% (95% CI 3.6% -14.0% ) and 9.6% (95% CI 3.5% -19.5% ) (P=0.725). The cumulative incidence rates of 2-year chronic GVHD in the haplo-cord-PBSCT group and the UD-PBSCT group were 45.3% (95% CI 36.1% -56.1% ) and 35.1% (95% CI 21.6% -44.1% ), respectively (P=0.237). The cumulative incidence rates of severe chronic GVHD at 2 years after transplantation were 13.6% (95% CI 7.6% -21.3% ) and 12.9% (95% CI 5.1% -24.3% ), respectively (P=0.840). ③The 2-year CIR after transplantation in the haplo-cord-PBSCT group and UD-PBSCT group were 12.8% (95% CI 7.0% -20.5% ) and 10.0% (95% CI 3.6% -20.2% ), respectively (P=0.341), and the NRM were 14.7% (95% CI 8.4% -22.6% ) and 16.2% (95% CI 7.4% -28.0% ), respectively (P=0.681). ④The 2-year OS rates in the haplo-cord-PBSCT and UD-PBSCT groups after transplantation were 82.2% (95% CI 74.8% -90.3% ) and 75.5% (95% CI 64.2% -88.7% ), respectively (P=0.276). The 2-year DFS rates were 69.9% (95% CI 61.2% -79.8% ) and 73.8% (95% CI 62.4% -87.3% ), respectively (P=0.551). The 2-year rates of GVHD-free/recurrence-free survival (GRFS) were 55.3% (95% CI 44.8% -64.8% ) and 64.7% (95% CI 52.8% -79.3% ), respectively (P=0.284) . Conclusion: The findings of this study indicate that haplo-cord-PBSCT and UD-PBSCT have comparable efficacy and safety in the treatment of malignant hematological diseases and can be used as an alternative treatment options.
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Affiliation(s)
- X Ma
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - Y Chen
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - Y Liu
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - T T Cheng
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - X Chen
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - C Zeng
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - J Hua
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - S Y Wang
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
| | - Y J Xu
- Department of Hematology, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital) ; Hunan Clinical Medical Research Center of Hematologic Neoplasms, Changsha 410008, China
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Dai X, Zhou L, He X, Hua J, Chen L, Lu Y. Identification of apoptosis-related gene signatures as potential biomarkers for differentiating active from latent tuberculosis via bioinformatics analysis. Front Cell Infect Microbiol 2024; 14:1285493. [PMID: 38312744 PMCID: PMC10834671 DOI: 10.3389/fcimb.2024.1285493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Background Apoptosis is associated with the pathogenesis of Mycobacterium tuberculosis infection. This study aims to identify apoptosis-related genes as biomarkers for differentiating active tuberculosis (ATB) from latent tuberculosis infection (LTBI). Methods The tuberculosis (TB) datasets (GSE19491, GSE62525, and GSE28623) were downloaded from the Gene Expression Omnibus (GEO) database. The diagnostic biomarkers differentiating ATB from LTBI were identified by combining the data of protein-protein interaction network, differentially expressed gene, Weighted Gene Co-Expression Network Analysis (WGCNA), and receiver operating characteristic (ROC) analyses. Machine learning algorithms were employed to validate the diagnostic ability of the biomarkers. Enrichment analysis for biomarkers was established, and potential drugs were predicted. The association between biomarkers and N6-methyladenosine (m6A) or 5-methylated cytosine (m5C) regulators was evaluated. Results Six biomarkers including CASP1, TNFSF10, CASP4, CASP5, IFI16, and ATF3 were obtained for differentiating ATB from LTBI. They showed strong diagnostic performances, with area under ROC (AUC) values > 0.7. Enrichment analysis demonstrated that the biomarkers were involved in immune and inflammation responses. Furthermore, 24 drugs, including progesterone and emricasan, were predicted. The correlation analysis revealed that biomarkers were positively correlated with most m6A or m5C regulators. Conclusion The six ARGs can serve as effective biomarkers differentiating ATB from LTBI and provide insight into the pathogenesis of Mycobacterium tuberculosis infection.
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Affiliation(s)
- Xiaoting Dai
- Department of Infectious Diseases, Nanjing Lishui People’s Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Litian Zhou
- Department of Neurosugery, Nanjing Lishui People’s Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People’s Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Yingying Lu
- Department of Clinical Laboratory, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Clinical Laboratory, Shanghai Pudong New Area People’s Hospital, Shanghai, China
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Zheng H, Zhao W, Du X, Hua J, Ma Y, Zhao C, Lu H, Shi Y, Yao J. Determining the soil odor control area: A case study of an abandoned organophosphorus pesticide factory in China. Sci Total Environ 2024; 906:167436. [PMID: 37774866 DOI: 10.1016/j.scitotenv.2023.167436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/20/2023] [Accepted: 09/26/2023] [Indexed: 10/01/2023]
Abstract
Currently, soil odor-active substance screening and evaluation methods for contaminated sites are underdeveloped, with unclear treatment objectives and areas. Consequently, some sites suffer from odor issues during and even after remediation. This study focused on an organophosphorus pesticide factory site in Guangdong Province, China. It established a method of determining the odorant control area using a comprehensive approach combining instrumental and olfactory soil sample analyses. The main odor-active substances identified were ethylbenzene, phenol, m, p-xylene, styrene, toluene, and o-xylene, with odorant control values (the limit of odor-active substance contents) of 35.2, 28.1, 8.0, 11.3, 40.2 and 89.3 mg/kg respectively. Instrumental analysis of soil samples revealed 11 sampling points where the main odor-causing substances exceeded standard levels. Among the substances, ethylbenzene (1.48E+04 mg/kg) had the highest content, exceeding the limit up to 421-fold. Olfactory analysis indicated 14 sampling points with odor intensity surpassing the standard (OI > 2). Based on the instrumental analysis results and the odorant control value, the initial estimated odor control area (area with the risk of odor nuisance) was 5.64E+03 m2. Incorporating the olfactory analysis findings, the control area was adjusted by 1.25E+03 m2, leading to a final calculated soil odor control area of 6.89E+03 m2 for the study site. The comprehensive approach to analyzing soil samples for odor control can help evaluate the extent of soil odor pollution in contaminated sites and provide a scientific basis for effectively removing and managing odor-causing substances in soil.
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Affiliation(s)
- Hongguang Zheng
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China; China University of Mining & Technology-Beijing, School of Chemical and Environmental Engineering, Beijing 100083, China
| | - Weiguang Zhao
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Xiaoming Du
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Jie Hua
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Yan Ma
- China University of Mining & Technology-Beijing, School of Chemical and Environmental Engineering, Beijing 100083, China
| | - Caiyun Zhao
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Hefeng Lu
- Xingtai Ecological Environment Bureau Xingdong New Area Branch, Xingtai 054001, China
| | - Yi Shi
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
| | - Juejun Yao
- Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
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8
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He Y, Wang W, Chen Y, Hua J, Deng C, Li H. Source-sink response analysis of heavy metals and soil pollution assessment in non-ferrous metal industrial agglomeration areas based on decision unit. Sci Total Environ 2024; 906:167437. [PMID: 37774872 DOI: 10.1016/j.scitotenv.2023.167437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 09/13/2023] [Accepted: 09/26/2023] [Indexed: 10/01/2023]
Abstract
Soil heavy metals (HMs) pollution is a worldwide concern. In this study, decision units based on "source-sink relationship" were established using multi-source data. The source-sink response of heavy metals in agricultural soils at the regional scale was analyzed using machine learning methods, receptor models, and geospatial analysis. The comprehensive pollution risk score (CRS) was proposed by integrating a variety of key evaluation indicators to evaluate the pollution degree of each decision unit. We divided the study area into 193 decision units, the proportions of sites with concentrations of Cd, Hg, As, Pb, and Cr exceeding the most stringent risk screening values were 16.4 %, 2.2 %, 4.0 %, 7.6 %, and 0.2 %, respectively. Agricultural activities (livestock manure, fertilizer, sewage irrigation), industrial activities (rare earth ore and tungsten‑molybdenum mining and smelting), and soil parent material are the dominant pollution sources of HMs in the study area. The risk of contamination of each element is ranked from largest to smallest according to the CRS as Cd > Hg > Pb > As > Cr. The western and southwestern water pollution decision units are the areas with the highest risk of soil HMs contamination. This quantitative evaluation framework can provide a relatively accurate decision basis for soil pollution management.
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Affiliation(s)
- Yujie He
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China; Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Wenjie Wang
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Yunwei Chen
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Jie Hua
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Chenning Deng
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Haisheng Li
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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9
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Liu X, Tang R, Xu J, Tan Z, Liang C, Meng Q, Lei Y, Hua J, Zhang Y, Liu J, Zhang B, Wang W, Yu X, Shi S. CRIP1 fosters MDSC trafficking and resets tumour microenvironment via facilitating NF-κB/p65 nuclear translocation in pancreatic ductal adenocarcinoma. Gut 2023; 72:2329-2343. [PMID: 37541772 DOI: 10.1136/gutjnl-2022-329349] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 07/23/2023] [Indexed: 08/06/2023]
Abstract
OBJECTIVE Pancreatic ductal adenocarcinoma (PDAC) is among the most immunosuppressive tumour types. The tumour immune microenvironment (TIME) is largely driven by interactions between immune cells and heterogeneous tumour cells. Here, we aimed to investigate the mechanism of tumour cells in TIME formation and provide potential combination treatment strategies for PDAC patients based on genotypic heterogeneity. DESIGN Highly multiplexed imaging mass cytometry, RNA sequencing, mass cytometry by time of flight and multiplex immunofluorescence staining were performed to identify the pro-oncogenic proteins associated with low immune activation in PDAC. An in vitro coculture system, an orthotopic PDAC allograft tumour model, flow cytometry and immunohistochemistry were used to explore the biological functions of cysteine-rich intestinal protein 1 (CRIP1) in tumour progression and TIME formation. RNA sequencing, mass spectrometry and chromatin immunoprecipitation were subsequently conducted to investigate the underlying mechanisms of CRIP1. RESULTS Our results showed that CRIP1 was frequently upregulated in PDAC tissues with low immune activation. Elevated CRIP1 expression induced high levels of myeloid-derived suppressor cell (MDSC) infiltration and fostered an immunosuppressive tumour microenvironment. Mechanistically, we primarily showed that CRIP1 bound to nuclear factor kappa-B (NF-κB)/p65 and facilitated its nuclear translocation in an importin-dependent manner, leading to the transcriptional activation of CXCL1/5. PDAC-derived CXCL1/5 facilitated the chemotactic migration of MDSCs to drive immunosuppression. SX-682, an inhibitor of CXCR1/2, blocked tumour MDSC recruitment and enhanced T-cell activation. The combination of anti-PD-L1 therapy with SX-682 elicited increased CD8+T cell infiltration and potent antitumor activity in tumour-bearing mice with high CRIP1 expression. CONCLUSIONS The CRIP1/NF-κB/CXCL axis is critical for triggering immune evasion and TIME formation in PDAC. Blockade of this signalling pathway prevents MDSC trafficking and thereby sensitises PDAC to immunotherapy.
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Affiliation(s)
- Xiaomeng Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Rong Tang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Zhen Tan
- Department of Pancreatic and Hepatobiliary Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Yubin Lei
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Yiyin Zhang
- Department of General Surgery, Zhejiang University, Hangzhou, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
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10
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He Y, Zhang Q, Wang W, Hua J, Li H. The multi-media environmental behavior of heavy metals around tailings under the influence of precipitation. Ecotoxicol Environ Saf 2023; 266:115541. [PMID: 37806132 DOI: 10.1016/j.ecoenv.2023.115541] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/18/2023] [Accepted: 10/01/2023] [Indexed: 10/10/2023]
Abstract
Precipitation can lead to significant leaching of heavy metals from abandoned tailings,resulting in a decline in the quality of the surrounding environment. This study aimed to simulate and quantify the migration patterns and fate of heavy metals in tailings caused by precipitation in various environmental media (tailings, air, water, soil, and sediments) using leaching tests, source apportionment, and a fugacity model. Results revealed that the average contents of Cd, Cu, As, Pb, Zn, and Cr in the un-weathered tailings were 3.43, 495.56, 160.70, 138.94, 536.57, and 69.52 mg/kg, respectively. The ecological risk factors in the tailings as well as in sediments and soils, were in the following order: Cd >Cu >As >Pb >Zn >Cr. A fugacity model based on the mass-balance methods was established, achieving a good agreement between simulation and measured values. The total amounts of Cd, Cu, As, Pb, and Zn leached from abandoned tailings over the 30-year evaluation period were estimated to be 1.09, 62.44, 0.16, 0.94, and 102.12 t, respectively. Soil and sediments are important reservoirs for heavy metals. The sum of the As, Cd, Cu, Pb, and Zn storage capacities in the soil and sediment accounted for 77.28%, 75.63%, 73.94%, 69.39%, and 57.80% of the total storage capacity, respectively. This study could provide the means for the establishment of a targeted pollution control plan, a guide for restoration projects, and will aid in controlling pollution risk and improving the surrounding environment.
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Affiliation(s)
- Yujie He
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Qian Zhang
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Wenjie Wang
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Jie Hua
- Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
| | - Haisheng Li
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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11
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Hua J, Zhan Z, Cheng Z, Cao W, Chai Y, Wang X, Wei C, Dong H, Wang J. High-efficiency all-fluorescent white organic light-emitting diode based on TADF material as a sensitizer. RSC Adv 2023; 13:31632-31640. [PMID: 37908666 PMCID: PMC10614037 DOI: 10.1039/d3ra05680e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 10/12/2023] [Indexed: 11/02/2023] Open
Abstract
The use of TADF materials as both sensitizers and emitters is a promising route to achieve high-efficiency all-fluorescent white organic light-emitting diodes (WOLEDs). In this study, the thermally-activated delayed-fluorescent (TADF) material DMAC-TRZ (9,9-dimethyl-9,10-dihydroacridine-2,4,6-triphenyl-1,3,5-triazine) was selected as a sensitizer for the conventional fluorescent emitter DCJTB (4-(dicyanomethylene)-2-t-butyl-6-(1,1,7,7-tetramethyljulolidyl-9-enyl)-4H-pyran), which was co-doped in a wide bandgap host of DPEPO (bis[2-(diphenylphosphino)phenyl]ether oxide) to fabricate WOLEDs. For the emitting layer of DPEPO:DMAC-TRZ:DCJTB, the DPEPO host can dilute the exciton concentration formed on the DMAC-TRZ sensitizer, which benefits the suppression of exciton quenching. The effect of the doping concentration of DCJTB on the carrier recombination and energy transfer process was investigated. With an optimized doping concentration of DCJTB as 0.8%, highly efficient WOLED was achieved with a maximum external quantum efficiency (EQE), power efficiency (PE), and current efficiency (CE) of 11.05%, 20.83 lm W-1, and 28.83 cd A-1, respectively, corresponding to the Commission Internationale de I' Eclairage (CIE) coordinates of (0.45, 0.46). These superior performances can be ascribed to the fact that the hole-trapping effect of the emitter and Dexter energy transfer (DET) from sensitizer to emitter can be suppressed simultaneously by the extremely low doping concentration.
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Affiliation(s)
- Jie Hua
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Zhuolin Zhan
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Zeyuan Cheng
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Wanshan Cao
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Yuan Chai
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Xufeng Wang
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Chunyu Wei
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - He Dong
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Jin Wang
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China
- College of Information Technology, Jilin Normal University Siping 136000 China
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12
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Tang R, Xu J, Wang W, Meng Q, Shao C, Zhang Y, Lei Y, Zhang Z, Liu Y, Du Q, Sun X, Wu D, Liang C, Hua J, Zhang B, Yu X, Shi S. Targeting neoadjuvant chemotherapy-induced metabolic reprogramming in pancreatic cancer promotes anti-tumor immunity and chemo-response. Cell Rep Med 2023; 4:101234. [PMID: 37852179 PMCID: PMC10591062 DOI: 10.1016/j.xcrm.2023.101234] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 09/06/2023] [Accepted: 09/19/2023] [Indexed: 10/20/2023]
Abstract
The molecular dynamics of pancreatic ductal adenocarcinoma (PDAC) under chemotherapy remain incompletely understood. The widespread use of neoadjuvant chemotherapy (NAC) provides a unique opportunity to investigate PDAC samples post-chemotherapy. Leveraging a cohort from Fudan University Shanghai Cancer Center, encompassing PDAC samples with and without exposure to neoadjuvant albumin-bound paclitaxel and gemcitabine (AG), we have compiled data from single-cell and spatial transcriptomes, proteomes, bulk transcriptomes, and metabolomes, deepening our comprehension of the molecular changes in PDACs in response to chemotherapy. Metabolic flux analysis reveals that NAC induces a reprogramming of PDAC metabolic patterns and enhances immunogenicity. Notably, NAC leads to the downregulation of glycolysis and the upregulation of CD36. Tissue microarray analysis demonstrates that high CD36 expression is linked to poorer survival in patients receiving postoperative AG. Targeting CD36 synergistically improves the PDAC response to AG both in vitro and in vivo, including patient-derived preclinical models.
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Affiliation(s)
- Rong Tang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Wang
- Shanghai Pancreatic Cancer Institute, Shanghai, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chenghao Shao
- Department of Pancreatic-Biliary Surgery, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yiyin Zhang
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Yubin Lei
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
| | - Zifeng Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuan Liu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Endoscopy, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qiong Du
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pharmacy, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xiangjie Sun
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Di Wu
- Shanghai Pancreatic Cancer Institute, Shanghai, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Si Shi
- Shanghai Pancreatic Cancer Institute, Shanghai, China; Pancreatic Cancer Institute, Fudan University, Shanghai, China.
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13
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Wang K, Zhuang S, Miao J, Chen Y, Hua J, Zhou GQ, He X, Li S. Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes. IEEE J Biomed Health Inform 2023; 27:4816-4827. [PMID: 37796719 DOI: 10.1109/jbhi.2023.3300288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
The automatic and dependable identification of colonic disease subtypes by colonoscopy is crucial. Once successful, it will facilitate clinically more in-depth disease staging analysis and the formulation of more tailored treatment plans. However, inter-class confusion and brightness imbalance are major obstacles to colon disease subtyping. Notably, the Fourier-based image spectrum, with its distinctive frequency features and brightness insensitivity, offers a potential solution. To effectively leverage its advantages to address the existing challenges, this article proposes a framework capable of thorough learning in the frequency domain based on four core designs: the position consistency module, the high-frequency self-supervised module, the complex number arithmetic model, and the feature anti-aliasing module. The position consistency module enables the generation of spectra that preserve local and positional information while compressing the spectral data range to improve training stability. Through band masking and supervision, the high-frequency autoencoder module guides the network to learn useful frequency features selectively. The proposed complex number arithmetic model allows direct spectral training while avoiding the loss of phase information caused by current general-purpose real-valued operations. The feature anti-aliasing module embeds filters in the model to prevent spectral aliasing caused by down-sampling and improve performance. Experiments are performed on the collected five-class dataset, which contains 4591 colorectal endoscopic images. The outcomes show that our proposed method produces state-of-the-art results with an accuracy rate of 89.82%.
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14
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Ma Z, Xie W, Luo T, Hu Z, Hua J, Zhou J, Yang T, Wang W, Song Z, Yu X, Xu J, Shi S. Exosomes from TNF-α preconditioned human umbilical cord mesenchymal stromal cells inhibit the autophagy of acinar cells of severe acute pancreatitis via shuttling bioactive metabolites. Cell Mol Life Sci 2023; 80:257. [PMID: 37594573 DOI: 10.1007/s00018-023-04861-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 05/16/2023] [Accepted: 07/04/2023] [Indexed: 08/19/2023]
Abstract
Severe acute pancreatitis (SAP) is a common critical disease of the digestive system, with high mortality and a lack of effective prevention and treatment measures. Despite mesenchymal stromal cell transplantation having the potential to treat SAP, its clinical application prospect is limited, and the mechanism is unclear. Here, we reveal the therapeutic role of exosomes from TNF-α-preconditioned human umbilical cord mesenchymal stromal cells (HUCMSCs) in attenuating SAP and show that it is partly dependent on exosomal metabolites. Bioactive metabolomics analysis showed that 48 metabolites be significantly differentially expressed between the two groups (Exo-Ctrl group versus Exo-TNF-α group). Then, the further functional experiments indicated that 3,4-dihydroxyphenylglycol could be a key molecule mediating the therapeutic effect of TNF-α-preconditioned HUCMSCs. The animal experiments showed that 3,4-dihydroxyphenylglycol reduced inflammation and oxidative stress in the pancreatic tissue and inhibited acinar cell autophagy in a rat model of SAP. Mechanistically, we revealed that 3,4-dihydroxyphenylglycol activated the mTOR pathway to inhibit acinar cell autophagy and alleviate SAP. In summary, our study demonstrated that exosomes from TNF-α-preconditioned HUMSCs inhibit the autophagy of acinar cells of SAP by shuttling 3,4-dihydroxyphenylglycol and inhibiting the mTOR pathway. This study revealed the vital role and therapeutic potential of metabolite-derived exosomes in SAP, providing a new promising method to prevent and therapy SAP.
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Affiliation(s)
- Zhilong Ma
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
- Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200050, China
| | - Wangcheng Xie
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Tingyi Luo
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Zhengyu Hu
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China
| | - Jia Zhou
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
- Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200050, China
| | - Tingsong Yang
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China
| | - Zhenshun Song
- Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China.
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15
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Li J, Shi S, Liu J, Liang C, Hua J, Meng Q, Xu H, Wei M, Zhang B, Xu J, Wang W, Yu X. Radical antegrade modular pancreatosplenectomy (RAMPS) versus standard retrograde pancreatosplenectomy (SRPS) for resectable body and tail pancreatic adenocarcinoma: protocol of a multicenter, prospective, randomized phase III control trial (CSPAC-3). Trials 2023; 24:541. [PMID: 37592267 PMCID: PMC10436627 DOI: 10.1186/s13063-023-07456-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 06/13/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Radical surgical resection offers the only potential cure. There is increasing agreement that radical antegrade modular pancreatosplenectomy (RAMPS) may benefit patients with tumors in the body and tail of the pancreas. To address this, the Chinese Study Group for Pancreatic Cancer (CSPAC)-3 trial is proposed to compare the effect of RAMPS and standard retrograde pancreatosplenectomy (SRPS) on patient survival and preoperative safety METHODS: The randomized controlled trial will be multicenter and two-armed with blinded outcomes and intention-to-treat analysis. Three hundred patients with resectable body and tail pancreatic adenocarcinoma will be enrolled and randomly assigned to RAMPS or SRPS. Adjuvant chemotherapy based on an initial regimen will be recommended 4-6 weeks after surgery if no serious complication occurs. The hypothesis that RAMPS improves survival outcomes compared with SRPS will be tested using a superiority trial. The primary outcome will be overall survival (OS). Secondary outcomes will include recurrence-free survival (RFS), R0 resection rate, the number of harvested lymph nodes, postoperative complications, and quality of life scores. DISCUSSION The use of RAMPS has increased over the past decade. It is reported that RAMPS is superior to SRPS in improving both the rate of R0 resection and lymph node yield. Despite these advantages, however, there is little high-level documentation of the superiority of RAMPS in terms of survival and this needs to be investigated. To address this issue, CSPAC has instigated the first prospective, randomized phase III control trials, aiming to explore the optimal surgical strategy for improving the prognosis and OS of patients with left-sided pancreatic cancer Trial registration Chinese Clinical Trial Registry ChiCTR2100053844; pre-results. Registered on December 1, 2021.
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Affiliation(s)
- Jialin Li
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Hang Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Miaoyan Wei
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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Knutson D, Irgens MS, Flynn KC, Norvilitis JM, Bauer LM, Berkessel JB, Cascalheira CJ, Cera JL, Choi NY, Cuccolo K, Danielson DK, Dascano KN, Edlund JE, Fletcher T, Flinn RE, Gosnell CL, Heermans G, Horne M, Howell JL, Hua J, Ijebor EE, Jia F, McGillivray S, Ogba KTU, Shane-Simpson C, Staples A, Ugwu CF, Wang SC, Yockey A, Zheng Z, Zlokovich MS. Associations Between Primary Residence and Mental Health in Global Marginalized Populations. Community Ment Health J 2023; 59:1083-1096. [PMID: 36695952 PMCID: PMC9874180 DOI: 10.1007/s10597-023-01088-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 01/05/2023] [Indexed: 01/26/2023]
Abstract
Scholars suggest that marginalized people in non-urban areas experience higher distress levels and fewer psychosocial resources than in urban areas. Researchers have yet to test whether precise proximity to urban centers is associated with mental health for marginalized populations. We recruited 1733 people who reported living in 45 different countries. Participants entered their home locations and completed measures of anxiety, depression, social support, and resilience. Regression and thematic analyses were used to determine what role distance from legislative and urban centers may play in mental health when marginalized people were disaggregated. Greater distance from legislative center predicted higher anxiety and resilience. Greater distance from urban center also predicted more resilience. Thematic analyses yielded five categories (e.g., safety, connection) that further illustrated the impact of geographic location on health. Implications for community mental health are discussed including the need to better understand and further expand resilience in rural areas.
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Affiliation(s)
- D Knutson
- Oklahoma State University, 445 Willard Hall, Stillwater, OK, 74078, USA.
| | | | - K C Flynn
- United States Department of Agriculture - Agricultural Research Service, Washington, DC, USA
| | | | - L M Bauer
- University of Missouri, Columbia, MO, USA
| | | | | | - J L Cera
- New Mexico State University, Las Cruces, NM, USA
| | - N-Y Choi
- Dankook University, Yongin-Si, South Korea
| | | | - D K Danielson
- University of Toronto, Scarborough, Toronto, ON, USA
| | | | - J E Edlund
- Rochester Institute of Technology, Rochester, NY, USA
| | - T Fletcher
- West Liberty University, West Liberty, WV, USA
| | - R E Flinn
- Medical College of Georgia, Augusta University, Augusta, GA, USA
| | | | | | - M Horne
- Richmond, American International University, London, UK
| | - J L Howell
- University of California, Merced, CA, USA
| | - J Hua
- University of California, Merced, CA, USA
| | - E E Ijebor
- New Mexico State University, Las Cruces, NM, USA
| | - F Jia
- Seton Hall University, South Orange, NJ, USA
| | | | - K T U Ogba
- University of Nigeria Nsukka, Nsukka, Nigeria
| | | | - A Staples
- Weatherford College, Weatherford, TX, USA
| | - C F Ugwu
- University of Nigeria Nsukka, Nsukka, Nigeria
| | - S C Wang
- New Mexico State University, Las Cruces, NM, USA
| | - A Yockey
- University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Z Zheng
- Lasell College, Auburndale, MA, USA
| | - M S Zlokovich
- Psi Chi International Honor Society in Psychology, Chattanooga, TN, USA
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Chen L, Hua J, He X. Identification of cuproptosis-related molecular subtypes as a biomarker for differentiating active from latent tuberculosis in children. BMC Genomics 2023; 24:368. [PMID: 37393262 DOI: 10.1186/s12864-023-09491-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/28/2023] [Indexed: 07/03/2023] Open
Abstract
BACKGROUND Cell death plays a crucial role in the progression of active tuberculosis (ATB) from latent infection (LTBI). Cuproptosis, a novel programmed cell death, has been reported to be associated with the pathology of various diseases. We aimed to identify cuproptosis-related molecular subtypes as biomarkers for distinguishing ATB from LTBI in pediatric patients. METHOD The expression profiles of cuproptosis regulators and immune characteristics in pediatric patients with ATB and LTBI were analyzed based on GSE39939 downloaded from the Gene Expression Omnibus. From the 52 ATB samples, we investigated the molecular subtypes based on differentially expressed cuproptosis-related genes (DE-CRGs) via consensus clustering and related immune cell infiltration. Subtype-specific differentially expressed genes (DEGs) were found using the weighted gene co-expression network analysis. The optimum machine model was then determined by comparing the performance of the eXtreme Gradient Boost (XGB), the random forest model (RF), the general linear model (GLM), and the support vector machine model (SVM). Nomogram and test datasets (GSE39940) were used to verify the prediction accuracy. RESULTS Nine DE-CRGs (NFE2L2, NLRP3, FDX1, LIPT1, PDHB, MTF1, GLS, DBT, and DLST) associated with active immune responses were ascertained between ATB and LTBI patients. Two cuproptosis-related molecular subtypes were defined in ATB pediatrics. Single sample gene set enrichment analysis suggested that compared with Subtype 2, Subtype 1 was characterized by decreased lymphocytes and increased inflammatory activation. Gene set variation analysis showed that cluster-specific DEGs in Subtype 1 were closely associated with immune and inflammation responses and energy and amino acids metabolism. The SVM model exhibited the best discriminative performance with a higher area under the curve (AUC = 0.983) and relatively lower root mean square and residual error. A final 5-gene-based (MAN1C1, DKFZP434N035, SIRT4, BPGM, and APBA2) SVM model was created, demonstrating satisfactory performance in the test datasets (AUC = 0.905). The decision curve analysis and nomogram calibration curve also revealed the accuracy of differentiating ATB from LTBI in children. CONCLUSION Our study suggested that cuproptosis might be associated with the immunopathology of Mycobacterium tuberculosis infection in children. Additionally, we built a satisfactory prediction model to assess the cuproptosis subtype risk in ATB, which can be used as a reliable biomarker for the distinguishment between pediatric ATB and LTBI.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, No.86, Chongwen Street, Lishui District, Nanjing City, 211002, China.
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Chen L, Zhang D, Li T, Liu S, Hua J, Cai W. Effect of a Mobile App-Based Urinary Incontinence Self-Management Intervention Among Pregnant Women in China: Pragmatic Randomized Controlled Trial. J Med Internet Res 2023; 25:e43528. [PMID: 37368465 DOI: 10.2196/43528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/30/2023] [Accepted: 05/27/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Urinary incontinence (UI) is a highly prevalent health concern commonly observed during and after pregnancy that can substantially impact women's physical and psychological well-being and quality of life. Owing to its numerous advantages, mobile health may be a promising solution; however, it is unclear whether the app-based intervention can effectively improve UI symptoms during and after pregnancy. OBJECTIVE This study aimed to evaluate the effectiveness of the Urinary Incontinence for Women (UIW) app-based intervention for UI symptom improvement among pregnant women in China. METHODS Singleton pregnant women without incontinence before pregnancy who were aged ≥18 years and between 24 and 28 weeks of gestation were recruited from a tertiary public hospital in China and were randomly allocated (1:1) to either an experimental group (n=63) or a control group (n=63). The experimental group received the UIW app intervention and oral pelvic floor muscle training (PFMT) instructions, whereas the control group received oral PFMT instructions alone. Neither the participants nor the researchers were blinded to the intervention. The primary outcome was UI severity. The secondary outcomes included quality of life, self-efficacy with PFMT, and knowledge of UI. All data were collected at baseline, 2 months after randomization, and 6 weeks post partum through electronic questionnaires or by checking the electronic medical record system. Data analysis followed the intention-to-treat principle. A linear mixed model was used to examine the intervention effect on primary and secondary outcomes. RESULTS Participants in the experimental and control groups were comparable at baseline. Of the 126 overall participants, 117 (92.9%) and 103 (81.7%) women completed follow-up visits at 2 months after randomization and 6 weeks after delivery, respectively. A statistically significant difference in UI symptom severity was observed between the experimental group and control group (2 months after randomization: mean difference -2.86, 95% CI -4.09 to -1.64, P<.001; 6 weeks post partum: mean difference -2.68, 95% CI -3.87 to -1.49, P<.001). For the secondary outcomes, a statistically significant intervention effect on the quality of life, self-efficacy, and UI knowledge was found at the 2-month follow-up (all P<.05) and 6 weeks post partum (all P<.001). CONCLUSIONS The app-based UI self-management intervention (UIW) effectively improved UI symptom severity, quality of life, self-efficacy with PFMT, and knowledge of UI during the late pregnancy and early postnatal periods. Larger multicenter studies with a longer postpartum follow-up are required to further extend these findings. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1800016171; http://www.chictr.org.cn/showproj.aspx?proj=27455. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/22771.
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Affiliation(s)
- Ling Chen
- Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Danli Zhang
- Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Tiantian Li
- Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Sha Liu
- Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Jie Hua
- Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Wenzhi Cai
- Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, China
- School of Nursing, Southern Medical University, Guangzhou, China
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Chen L, Hua J, Hong S, Yuan C, Jing R, Luo X, Zhu Y, Le L, Wang Z, Sun X, He X. Assessment of the relative benefits of monotherapy and combination therapy approaches to the treatment of hospital-acquired Stenotrophomonas maltophilia pneumonia: a multicenter, observational, real-world study. Ann Intensive Care 2023; 13:47. [PMID: 37278862 DOI: 10.1186/s13613-023-01144-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/25/2023] [Indexed: 06/07/2023] Open
Abstract
PURPOSE Stenotrophomonas maltophilia is a Gram-negative pathogen that most commonly causes hospital-acquired infections that can be extremely challenging to treat, contributing to underrecognized mortality throughout the world. The relative benefits of monotherapy as compared to combination therapy in patients diagnosed with S. maltophilia pneumonia, however, have yet to be established. METHODS Data from 307 patients diagnosed with S. maltophilia hospital-acquired pneumonia (HAP) across four Chinese teaching hospitals from 2016 to 2022 were retrospectively analyzed. RESULTS Of the analyzed patients, 55.7% (171/307) were administered combination definitive therapy, with a 30-day all-cause mortality rate of 41.0% (126/307). A propensity score weighting analysis revealed that compared with monotherapy, combination definitive therapy was associated with a comparable 30-day mortality risk in the overall patient cohort (OR 1.124, 95% CI 0.707-1.786, P = 0.622), immunocompetent patients (OR 1.349, 95% CI 0.712-2.554, P = 0.359), and patients with APACHE II scores < 15 (OR 2.357, 95% CI 0.820-6.677, P = 0.111), whereas it was associated with a decreased risk of death in immunocompromised patients (OR 0.404, 95% CI .170-0.962, P = 0.041) and individuals with APACHE II scores ≥ 15 (OR 0.494, 95% CI 0.256-0.951, P = 0.035). CONCLUSION The present data suggest that when treating S. maltophilia-HAP, immunocompromised patients and individuals with APACHE II scores ≥ 15 may potentially benefit from combination therapy.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shujie Hong
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Chenyang Yuan
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Ruochen Jing
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Xuanyu Luo
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Yihong Zhu
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Le Le
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Ziqi Wang
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Xiaoli Sun
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, China.
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Chen L, Hua J, He X. Genetic analysis of cuproptosis subtypes and immunological features in severe influenza. Microb Pathog 2023; 180:106162. [PMID: 37207785 DOI: 10.1016/j.micpath.2023.106162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 05/21/2023]
Abstract
The mechanisms regulating cuproptosis in severe influenza are still unknown. We aimed to identify the molecular subtypes of cuproptosis and immunological characteristics associated with severe influenza in patients requiring invasive mechanical ventilation (IMV). The expression of cuproptosis modulatory factors and immunological characteristics of these patients were analyzed using the public datasets (GSE101702, GSE21802, and GSE111368) from the Gene Expression Omnibus (GEO). Seven cuproptotic-associated genes (ATP7B, ATP7A, FDX1, LIAS, DLD, MTF1, DBT) related to active immune responses were identified in patients suffering from severe and non-severe influenza and two cuproptosis-associated molecular subtypes were discovered in severe influenza patients. Singe-set gene set expression analysis (SsGSEA) indicated that compared with subtype 2, subtype 1 was characterized by reduced adaptive cellular immune responses and increased neutrophil activation. Gene set variation assessment revealed that cluster-specific differentially expressed genes (DEGs) in subtype 1 were involved in autophagy, apoptosis, oxidative phosphorylation, and T cell, immune, and inflammatory responses, amongst others. The random forest (RF) model revealed the most differentiating efficiency with relatively small residual and root mean square error and an increased area under the curve value (AUC = 0.857). Lastly, a five-gene-based RF model (CD247, GADD45A, KIF1B, LIN7A, HLA_DPA1) was established, which showed satisfactory efficiency in the test datasets GSE111368 (AUC = 0.819). Nomogram calibration and decision curve analysis demonstrated its accuracy for the prediction of severe influenza. This study suggests that cuproptosis might be associated with the immunopathology of severe influenza. Additionally, an efficient model for the prediction of cuproptosis subtypes was developed which will contribute to the prevention and treatment of severe influenza patients needing IMV.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China.
| | - Jie Hua
- Department of Gastroenterology, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Dong M, Tang R, Wang W, Xu J, Liu J, Liang C, Hua J, Meng Q, Yu X, Zhang B, Shi S. Integrated analysis revealed hypoxia signatures and LDHA related to tumor cell dedifferentiation and unfavorable prognosis in pancreatic adenocarcinoma: Hypoxia in PDAC. Transl Oncol 2023; 33:101692. [PMID: 37182509 DOI: 10.1016/j.tranon.2023.101692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 04/30/2023] [Accepted: 05/07/2023] [Indexed: 05/16/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly heterogeneous cancer with limited understanding of its classification and tumor microenvironment. Here, by analyzing single-nucleus RNA sequencing of 43, 817 tumor cells from 15 PDAC tumors and non-tumor, we find that hypoxia signatures were heterogeneous across samples and were potential regulators for tumor progression and more aggressive phenotype. Hypoxia-high PDAC tends to present a basal/squamous-like phenotype and has significantly increased outgoing signaling, which enhances tumor cell stemness and promotes metastasis, angiogenesis, and fibroblast differentiation in PDAC. Hypoxia is related to an extracellular matrix enriched microenvironment, and increased possibility of TP53 mutation in PDAC. TP63 is a specific marker of squamous-like phenotype, and presents elevated transcriptome levels in most hypoxia PDAC tumors. In summary, our research highlights the potential linkage of hypoxia, tumor progression and genome alteration in PDAC, leading to further understand of the formation of inter-tumoral and intra-tumoral heterogenous in PDAC. Our study extends the understanding of the diversity and transition of tumor cells in PDAC, which provides insight into future PDAC management.
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Affiliation(s)
- Mingwei Dong
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Rong Tang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 270 Dong'An Road, Shanghai 200032, P R China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P R China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, P R China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P R China.
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Wang KN, Zhuang S, Ran QY, Zhou P, Hua J, Zhou GQ, He X. DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images. Med Image Anal 2023; 87:102832. [PMID: 37148864 DOI: 10.1016/j.media.2023.102832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 01/20/2023] [Accepted: 04/20/2023] [Indexed: 05/08/2023]
Abstract
Colorectal cancer is one of the malignant tumors with the highest mortality due to the lack of obvious early symptoms. It is usually in the advanced stage when it is discovered. Thus the automatic and accurate classification of early colon lesions is of great significance for clinically estimating the status of colon lesions and formulating appropriate diagnostic programs. However, it is challenging to classify full-stage colon lesions due to the large inter-class similarities and intra-class differences of the images. In this work, we propose a novel dual-branch lesion-aware neural network (DLGNet) to classify intestinal lesions by exploring the intrinsic relationship between diseases, composed of four modules: lesion location module, dual-branch classification module, attention guidance module, and inter-class Gaussian loss function. Specifically, the elaborate dual-branch module integrates the original image and the lesion patch obtained by the lesion localization module to explore and interact with lesion-specific features from a global and local perspective. Also, the feature-guided module guides the model to pay attention to the disease-specific features by learning remote dependencies through spatial and channel attention after network feature learning. Finally, the inter-class Gaussian loss function is proposed, which assumes that each feature extracted by the network is an independent Gaussian distribution, and the inter-class clustering is more compact, thereby improving the discriminative ability of the network. The extensive experiments on the collected 2568 colonoscopy images have an average accuracy of 91.50%, and the proposed method surpasses the state-of-the-art methods. This study is the first time that colon lesions are classified at each stage and achieves promising colon disease classification performance. To motivate the community, we have made our code publicly available via https://github.com/soleilssss/DLGNet.
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Affiliation(s)
- Kai-Ni Wang
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China
| | - Shuaishuai Zhuang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qi-Yong Ran
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China
| | - Ping Zhou
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China
| | - Jie Hua
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China; Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Liyang, China
| | - Guang-Quan Zhou
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China; State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Biomaterials and Devices, Southeast University, Nanjing, China.
| | - Xiaopu He
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Hua J, Xu J, Liang C, Meng Q, Zhang B, Yu X, Wang W, Shi S. ASO Visual Abstract: Reappraisal of Tumor Deposit as a Prognostic Factor in Pancreatic Cancer. Ann Surg Oncol 2023; 30:3046-3047. [PMID: 36917338 DOI: 10.1245/s10434-023-13165-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Affiliation(s)
- Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.
- Shanghai Pancreatic Cancer Institute, Shanghai, China.
- Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.
- Shanghai Pancreatic Cancer Institute, Shanghai, China.
- Pancreatic Cancer Institute, Fudan University, Shanghai, China.
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Chen L, Hua J, Dai X, He X. Assessment of ferroptosis-associated gene signatures as potential biomarkers for differentiating latent from active tuberculosis in children. Microb Genom 2023; 9. [PMID: 37163321 DOI: 10.1099/mgen.0.000997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023] Open
Abstract
Ferroptotic cell death is a regulated process that is governed by iron-dependent membrane lipid peroxide accumulation that plays a pathogenic role in several disease-related settings. The use of ferroptosis-related genes (FRGs) to distinguish active tuberculosis (ATB) from latent tuberculosis infection (LTBI) among children, however, remains to be analysed. Tuberculosis-related gene expression data and FRG lists were obtained, respectively, from Gene Expression Omnibus (GEO) and FerrDb. Differentially expressed FRGs (DE-FRGs) detected when comparing samples from paediatric ATB and LTBI patients were explored using appropriate bioinformatics techniques, after which enrichment analyses were performed for these genes and hub genes were identified, with these genes then being used to explore potential drug interactions and construct competing endogenous RNA (ceRNA) networks. The GSE39939 dataset yielded 124 DE-FRGs that were primarily related to responses to oxidative, chemical and extracellular stimulus-associated stress. In total, the LASSO and SVM-RFE algorithms enabled the identification of nine hub genes (MAPK14, EGLN2, IDO1, USP11, SCD, CBS, PARP8, PARP16, CDC25A) that exhibited good diagnostic utility. Functional enrichment analyses of these genes suggested that they may govern ATB transition from LTBI through the control of many pathways, including the immune response, DNA repair, transcription, RNA degradation, and glycan and energy metabolism pathways. The CIBERSORT algorithm suggested that these genes were positively correlated with inflammatory and myeloid cell activity while being negatively correlated with the activity of lymphocytes. A total of 50 candidate drugs targeting 6 hub DE-FRGs were also identified, and a ceRNA network was used to explore the complex interplay among these hub genes. The nine hub FRGs defined in this study may serve as valuable biomarkers differentiating between ATB and LTBI in young patients.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, PR China
| | - Jie Hua
- Department of Gastroenterology, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Nanjing, PR China
| | - Xiaoting Dai
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, PR China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China
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Hua J, Li Z, Ma C, Zhang X, Li Q, Duan X, Xiao T, Geng X. [Erratum to "Risk factors analysis and establishment of predictive nomogram of extranodal B-cell lymphoma of mucosal-associated lymphoid tissue" [Cancer Radiother 27 (2023) 126-135]]. Cancer Radiother 2023; 27:266. [PMID: 37062656 DOI: 10.1016/j.canrad.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Affiliation(s)
- J Hua
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - Z Li
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - C Ma
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - X Zhang
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - Q Li
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - X Duan
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - T Xiao
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - X Geng
- Department of Radiotherapy, Liaocheng People's Hospital, 252000 Shan Dong, China.
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Hua J, Shi S, Zhang B, Xu J, Wang W. Anatomical features and technical difficulties in laparoscopic pancreaticoduodenectomy with various superior mesenteric artery-first approaches. Hepatobiliary Pancreat Dis Int 2023; 22:115-118. [PMID: 36737360 DOI: 10.1016/j.hbpd.2023.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/12/2023] [Indexed: 02/05/2023]
Affiliation(s)
- Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Pancreatic Cancer Institute, Shanghai 200032, China; Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China.
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Hua J, Lia Z, Ma C, Zhang X, Li Q, Duan X, Xiao T, Geng X. Risk factors analysis and establishment of predictive nomogram of extranodal B-cell lymphoma of mucosal-associated lymphoid tissue. Cancer Radiother 2023; 27:126-135. [PMID: 36894407 DOI: 10.1016/j.canrad.2022.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 03/09/2023]
Abstract
PURPOSE The role of radiation therapy in mucosa-associated lymphoid tissue (MALT) lymphoma is poorly defined. The objective of this study was to explore the factors associated with the performance of radiotherapy and to assess its prognostic impact in patients with MALT lymphoma. PATIENTS AND METHODS Patients with MALT lymphoma diagnosed between 1992 and 2017 were identified in the US Surveillance, Epidemiology, and End Results database (SEER). Factors associated with the delivery of radiotherapy were assessed by chi-square test. Overall survival (OS) and lymphoma-specific survival (LSS) were compared between patients with and without radiotherapy, using Cox proportional hazard regression models, in patients with early stage as well as those with advanced stage. RESULTS Of the 10,344 patients identified with a diagnosis of MALT lymphoma, 33.6% had received radiotherapy; this rate was 38.9% for stage I/II patients and 12.0% for stage III/IV patients, respectively. Older patients and those who already received primary surgery or chemotherapy had a significantly lower rate of receiving radiotherapy, regardless of lymphoma stage. After univariate and multivariate analysis, radiotherapy was associated with improved OS and LSS in patients with stage I/II (HR=0.71 [0.65-0.78]) and (HR=0.66 [0.59-0.74]), respectively, but not in patients with stage III/IV (HR=1.01 [0.80-1.26]) and (HR=0.93 [0.67-1.29]). The nomogram built from the significant prognostic factors associated with overall survival of stage I/II patients had a good concordance (C-index=0.749±0.002). CONCLUSION This cohort study shows that radiotherapy is significantly associated with a better prognosis in patients with early but not advanced MALT lymphoma. Prospective studies are needed to confirm the prognostic impact of radiotherapy in patients with MALT lymphoma.
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Affiliation(s)
- J Hua
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - Z Lia
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - C Ma
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - X Zhang
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - Q Li
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - X Duan
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - T Xiao
- Department of Hematology, Liaocheng People's Hospital, Shan Dong, China
| | - X Geng
- Department of Radiotherapy, Liaocheng People's Hospital, 252000 Shan Dong, China.
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Chen L, Hua J, Hong SJ, Yuan CY, Jing RC, Luo XY, Xue HW, Yue Y, He XP. Comparison of the relative efficacy of β-lactam/β-lactamase inhibitors and carbapenems in the treatment of complicated urinary tract infections caused by ceftriaxone-non-susceptible Enterobacterales: a multicentre retrospective observational cohort study. J Antimicrob Chemother 2023; 78:710-718. [PMID: 36691860 DOI: 10.1093/jac/dkac448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 12/20/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Treating complicated urinary tract infections (cUTIs) caused by ESBL-producing Enterobacterales represents a significant clinical challenge. The present study was thus developed to explore the relative efficacy of β-lactam/β-lactamase inhibitors (BLBLIs) and carbapenems for the treatment of hospitalized patients suffering from cUTIs caused by BLBLI-susceptible ceftriaxone-non-susceptible Enterobacterales. METHODS Data from 557 patients from four Chinese teaching hospitals diagnosed with cUTIs caused by ceftriaxone-non-susceptible Enterobacterales from January 2017 to May 2022 were retrospectively assessed. RESULT The 30 day rate of treatment failure, defined by unresolved symptoms or mortality, was 10.4% (58/557). Independent predictors of 30 day treatment failure included immunocompromised status, bacteraemia, septic shock, lack of infection source control and appropriate empirical treatment. When data were controlled for potential confounding variables, BLBLI treatment exhibited a comparable risk of 14 day (OR 1.61, 95% CI 0.86-3.00, P = 0.133) and 30 day treatment failure (OR 1.45, 95% CI 0.66-3.15, P = 0.354) relative to carbapenem treatment for the overall cohort of patients. In contrast, BLBLI treatment in immunocompromised patients was associated with an elevated risk of both 14 day (OR 3.18, 95% CI 1.43-7.10, P = 0.005) and 30 day treatment failure (OR 3.06, 95% CI 1.07-8.80, P = 0.038) relative to carbapenem treatment. CONCLUSIONS These results suggested that carbapenem treatment may be superior to BLBLI treatment for immunocompromised patients suffering from cUTIs caused by ceftriaxone-non-susceptible Enterobacterales species. However, these results will need to be validated in appropriately constructed randomized controlled trials to ensure appropriate patient treatment.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Jie Hua
- Department of Gastroenterology, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Shu-Jie Hong
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Chen-Yang Yuan
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Ruo-Chen Jing
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Xuan-Yu Luo
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Hao-Wen Xue
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Yue Yue
- Department of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Xiao-Pu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Fang Z, Wang W, Liu Y, Hua J, Liang C, Liu J, Zhang B, Shi S, Yu X, Meng Q, Xu J. Cuproptosis-Related Gene DLAT as a Novel Biomarker Correlated with Prognosis, Chemoresistance, and Immune Infiltration in Pancreatic Adenocarcinoma: A Preliminary Study Based on Bioinformatics Analysis. Curr Oncol 2023; 30:2997-3019. [PMID: 36975441 PMCID: PMC10047569 DOI: 10.3390/curroncol30030228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/22/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
A novel form of cell death, cuproptosis, was recently identified to be mediated by the binding of copper to lipoylated enzymes of the tricarboxylic acid cycle. Cuproptosis-related genes (CRGs) may play a crucial role in the progression of pancreatic adenocarcinoma (PAAD), which often exhibits metabolic reprogramming. In the present study, univariate Cox regression analysis and Kaplan–Meier survival analysis were performed to identify prognostic CRGs. Data from the Cancer Therapeutics Response Portal and the Genomics of Drug Sensitivity in Cancer database were downloaded for drug sensitivity analysis. DLAT was identified as the only prognostic CRG in PAAD (HR = 2.72; 95% CI, 1.10–6.74). Functional enrichment analyses indicated that the basic function of DLAT is closely related to metabolism, and multiple tumor-promoting and immune response-related pathways were enriched in DLAT-high PAAD samples. The influence of DLAT and related genes on cancer immunity was evaluated by comprehensive immune infiltration analyses, which revealed the value of these genes as biomarkers for evaluating the sensitivity to immunotherapy. Additionally, high DLAT expression induced drug resistance, and significantly increased resistance to commonly used chemotherapeutics in PAAD, such as gemcitabine, oxaliplatin, 5-fluorouracil, and irinotecan. In conclusion, our study preliminarily revealed the prognostic value of DLAT, which is correlated with PAAD progression, chemoresistance, and immune infiltration, providing a valuable reference for PAAD treatment. However, our findings need to be confirmed by further in vivo and in vitro experiments.
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Affiliation(s)
- Zengli Fang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Yuan Liu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Department of Endoscopy, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence: (Q.M.); (J.X.); Tel.: +86-18917255753 (Q.M.); +86-021-64175590 (J.X.)
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence: (Q.M.); (J.X.); Tel.: +86-18917255753 (Q.M.); +86-021-64175590 (J.X.)
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Yuan L, Zheng N, Yang T, Li A, Yuan Y, Hua J, Li L, Zhou C. Covalent organic polymers with azido group for efficient recovery of gold from gold-bearing waste. J Taiwan Inst Chem Eng 2023. [DOI: 10.1016/j.jtice.2023.104733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
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Ma Z, Hua J, Liu J, Zhang B, Wang W, Yu X, Xu J. Mesenchymal Stromal Cell-Based Targeted Therapy Pancreatic Cancer: Progress and Challenges. Int J Mol Sci 2023; 24:ijms24043559. [PMID: 36834969 PMCID: PMC9966548 DOI: 10.3390/ijms24043559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/18/2023] [Accepted: 02/01/2023] [Indexed: 02/12/2023] Open
Abstract
Pancreatic cancer is an aggressive malignancy with high mortality rates and poor prognoses. Despite rapid progress in the diagnosis and treatment of pancreatic cancer, the efficacy of current therapeutic strategies remains limited. Hence, better alternative therapeutic options for treating pancreatic cancer need to be urgently explored. Mesenchymal stromal cells (MSCs) have recently received much attention as a potential therapy for pancreatic cancer owing to their tumor-homing properties. However, the specific antitumor effect of MSCs is still controversial. To this end, we aimed to focus on the potential anti-cancer treatment prospects of the MSC-based approach and summarize current challenges in the clinical application of MSCs to treat pancreatic cancer.
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Affiliation(s)
- Zhilong Ma
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence: (X.Y.); (J.X.); Tel.: +86-021-64175590 (X.Y.); +86-021-64031446 (J.X.)
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence: (X.Y.); (J.X.); Tel.: +86-021-64175590 (X.Y.); +86-021-64031446 (J.X.)
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Dong J, Liu J, Zhang B, Liang C, Hua J, Meng Q, Wei M, Wang W, Yu X, Xu J. Mitochondria-Related Transcriptome Characterization Associated with the Immune Microenvironment, Therapeutic Response and Survival Prediction in Pancreatic Cancer. Int J Mol Sci 2023; 24:ijms24043270. [PMID: 36834681 PMCID: PMC9966003 DOI: 10.3390/ijms24043270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023] Open
Abstract
(1) Background: Pancreatic cancer (PC) is one of the most lethal tumors. Mitochondrial dysfunction has been reported to be involved in cancer development; however, its role in PC has remained unclear. (2) Methods: The differentially expressed NMGs were selected between PC and normal pancreatic tissue. The NMG-related prognostic signature was established by LASSO regression. A nomogram was developed based on the 12-gene signature combined with other significant pathological features. An extensive analysis of the 12 critical NMGs was performed in multiple dimensions. The expression of some key genes was verified in our external cohort. (3) Results: Mitochondria-related transcriptome features was obviously altered in PC compared with normal pancreas tissue. The 12-NMG signature showed good performance in predicting prognosis in various cohorts. The high- and low-risk groups exhibited notable diversity in gene mutation characteristics, biological characteristics, chemotherapy response, and the tumor immune microenvironment. Critical gene expression was demonstrated in our cohort at the mRNA and protein levels and in organelle localization. (4) Conclusions: Our study analyzed the mitochondrial molecular characterization of PC, proving the crucial role of NMGs in PC development. The established NMG signature helps classify patient subtypes in terms of prognosis prediction, treatment response, immunological features, and biological function, providing a potential therapeutic strategy targeting mitochondrial transcriptome characterization.
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Affiliation(s)
- Jia Dong
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Chen Liang
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jie Hua
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Miaoyan Wei
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence: (X.Y.); (J.X.)
| | - Jin Xu
- Department of Pancreatic Surgery, Shanghai Cancer Centre, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence: (X.Y.); (J.X.)
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Hua J, Zhou YX. Personality assessment usage and mental health among Chinese adolescents: A sequential mediation model of the Barnum effect and ego identity. Front Psychol 2023; 14:1097068. [PMID: 36818085 PMCID: PMC9932533 DOI: 10.3389/fpsyg.2023.1097068] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023] Open
Abstract
Introduction Adolescence is a crucial period for establishing ego identity and becoming a social individual. However, numerous adolescents suffer from mental health problems, especially after the conditions surrounding the COVID-19 outbreak. Personality assessments are often used when adolescents look for psychological self-help services. However, the meaning and mechanism of these personality assessments remain unknown. Taking the increasingly popular MBTI personality assessment as an entry point, the current study examined the potential sequential mediation relationship of Barnum effect - ego identity on the link between personality assessment usage and mental health. Methods The current study surveyed 308 Chinese high school students, including 109 males and 199 females. MBTI use, Barnum effect, ego-identity, and mental health (subjective well-being, depression, and anxiety) were measured by seven questionnaires, respectively. Sequential mediation models were constructed to analyze the relationship. Results The results indicate that the Barnum effect and ego identity together function as a sequential mediation path between personality assessment use and teenagers' mental health, including subjective well-being, depression, and anxiety. Specifically, a higher level of MBTI use triggers a stronger Barnum effect. The Barnum effect then promotes adolescents' ego identity, ultimately increasing subjective well-being levels and reducing anxiety and depression. Discussion Our findings suggest that by properly using personality assessment and stimulating the Barnum effect, we can enhance adolescents' mental health. The theoretical and practical implications of our findings are discussed.
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Hua J, Shi S. ASO Author Reflections: Prognostic Value of Tumor Deposits in Resected Pancreatic Ductal Adenocarcinoma. Ann Surg Oncol 2023; 30:3045. [PMID: 36695995 DOI: 10.1245/s10434-023-13109-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 01/05/2023] [Indexed: 01/26/2023]
Affiliation(s)
- Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. .,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
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Hua J, Xu J, Liang C, Meng Q, Zhang B, Yu X, Wang W, Shi S. Reappraisal of Tumor Deposit as a Prognostic Factor in Pancreatic Cancer. Ann Surg Oncol 2023; 30:3038-3044. [PMID: 36692614 DOI: 10.1245/s10434-023-13102-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 12/26/2022] [Indexed: 01/25/2023]
Abstract
PURPOSE Tumor deposits (TDs) are discrete tumor nodules within the lymphatic drainage area of the primary tumor without histological evidence of lymph node tissue or identifiable vascular or neural structure. This study aims to analyze the prognostic impact of TDs in patients with pancreatic ductal adenocarcinoma (PDAC) and explore their potential role in staging system. METHODS The prospectively maintained database from the Fudan University Shanghai Cancer Center was queried for patients undergoing resection for PDAC. Patients with TDs were matched by propensity score with those without TDs. The cumulative prevalence of recurrence was estimated using the cumulative incidence function. Overall survival was estimated using Kaplan-Meier curves. RESULTS A total of 123 patients (9.7%) had TDs, of whom 108 were matched at a 1:3 ratio with 324 patients without TDs. The cumulative incidence of recurrence was significantly higher for TD-positive patients than TD-negative patients (P = 0.04). The median overall survival was significantly shorter for patients with TDs than for those without TDs (15.9 versus 21.8 months, P < 0.001). The presence of TDs attenuated the effect of lymph node metastasis on survival, with no significance between node-negative and node-positive subpopulations (P = 0.165). Patients with TDs had comparable survival to N2 patients without TDs (15.9 versus 17.1 months, P = 0.383). CONCLUSIONS TD is an important prognostic factor for recurrence and survival in patients undergoing resection for PDAC. We suggest that patients presenting TDs be classified into the stage III category in the next edition of the staging system.
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Affiliation(s)
- Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China.,Shanghai Pancreatic Cancer Institute, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. .,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. .,Department of Oncology, Fudan University Shanghai Medical College, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
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Lu SY, Hua J, Liu J, Wei MY, Liang C, Meng QC, Zhang B, Yu XJ, Wang W, Xu J, Shi S. A new approach: Evaluation of necroptosis and immune status enables prediction of the tumor microenvironment and treatment targets in pancreatic cancer. Comput Struct Biotechnol J 2023; 21:2419-2433. [PMID: 37090434 PMCID: PMC10113923 DOI: 10.1016/j.csbj.2023.03.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/14/2023] [Accepted: 03/22/2023] [Indexed: 04/05/2023] Open
Abstract
Growing evidence indicates a potential correlation between necroptosis and pancreatic cancer, and the relationship between necroptosis, immune infiltration and the microenvironment in pancreatic cancer has drawn increasing attention. However, two-dimensional phenotype and prognostic assessment systems based on a combination of necroptosis and immunity have not been explored. In our present study, we explored the pancancer genomics signature of necroptosis-related molecules, identifying necroptosis-related molecule mutation profiles, expression profiles, and correlations between expression levels and methylation/CNV levels. We identified distinct necroptotic as well as immune statuses in pancreatic cancer, and a high necroptosis phenotype and high immunity phenotype both indicated better prognosis than a low necroptosis phenotype and low immunity phenotype. The two-dimensional phenotype we constructed has ideal discriminative effects on pancreatic cancer prognosis, inflammation, and the immune microenvironment. The "high-necroptosis and high-immunity (HNHI)" group exhibited the best prognosis and the highest proportion of infiltrating immune cells. The NI score can be used to predict patient prognosis and is correlated with the immune microenvironment score, chemotherapeutic drug IC50, and tumor mutational burden. In addition, it may be useful for predicting the effect of individualized chemotherapy and immunotherapy. Our study also revealed that SLC2A1 is associated with both necroptosis and immunity and acts as a potential oncogene in pancreatic cancer. In conclusion, the two-dimensional phenotype and NI score we developed are promising tools for clinical multiomics applications and prediction of chemotherapy and immunotherapy response and present benefits in terms of precision medicine and individualized treatment decision-making for pancreatic cancer patients.
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Wang C, Hua J, He X, Chen L, Lv S. A diagnostic model for distinguishing between active tuberculosis and latent tuberculosis infection based on the blood expression profiles of autophagy-related genes. Ther Adv Respir Dis 2023; 17:17534666231217798. [PMID: 38131281 DOI: 10.1177/17534666231217798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Autophagy is closely involved in the control of mycobacterial infection. OBJECTIVES Here, a diagnostic model was developed using the levels of autophagy-related genes (ARGs) in the blood to differentiate active tuberculosis (ATB) and latent tuberculosis infection (LTBI). DESIGN Secondary data analysis of three prospective cohorts. METHODS The expression of ARGs in patients with ATB and LTBI were analyzed using the GSE37250, GSE19491, and GSE28623 datasets from the GEO database. RESULTS Twenty-two differentially expressed ARGs were identified in the training dataset GSE37250. Using least absolute shrinkage and selection operator and multivariate logistic regression, three ARGs (FOXO1, CCL2, and ITGA3) were found that were positively associated with adaptive immune-related lymphocytes and negatively associated with myeloid and inflammatory cells. A nomogram was constructed using the three ARGs. The accuracy, consistency, and clinical relevance of the nomogram were evaluated using receiver operating characteristic curves, the C-index, calibration curves, and validation in the datasets GSE19491 and GSE28623. The nomogram showed good predictive performance. CONCLUSION The nomogram was able to accurately differentiate between ATB and LTBI patients. These findings provide evidence for future study on the pathology of autophagy in tuberculosis infection.
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Affiliation(s)
- Chengbin Wang
- Department of Regulation Section, The First Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, No. 86 Chongwen Road, Lishui District, Nanjing 211002, China
| | - Shuhan Lv
- Department of Obstetrics, The First Affiliated Hospital of Guizhou University of Chinese Medicine, No. 71 Baoshan North Road, Yunyan District, Guiyang, Guizhou 550007, China
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Ren X, Hua J, Chi X, Tan Y. Visual analysis of social events and stock market volatility in China and the USA during the pandemic. Math Biosci Eng 2023; 20:1229-1250. [PMID: 36650809 DOI: 10.3934/mbe.2023056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The COVID-19 pandemic is one of the most severe infectious diseases in recent decades, and has had a significant impact on the global economy, and the stock market. Most existing studies on stock market volatility during the pandemic have been conducted from a data science perspective, with statistical analysis and mathematical models often revealing the superficial relationship between Covid and the stock market at the data level. In contrast, few studies have explored the relationship between more specialised aspects of the pandemic. Specifically, the relationship found between major social events and the stock market. In this work, a multi-source, data-based relationship analysis method is proposed, that collects historical data on significant social events and related stock data in China and the USA, to further explore the potential correlation between stock market index fluctuations and the impact of social events by analysing cross-timeline data. The results suggest and offer more evidence that social events do indeed impact equity markets, and that the indices in both China and the USA were also affected more by the epidemic in 2020 than in 2021, and these indices became less affected by the epidemic as it became the world adapted. Moreover, these relationships may also be influenced by a variety of other factors not covered in this study. This research, so far, is in its initial stage, and the methodology is not rigorous and cannot be applied as an individual tool for decision; however, it could potentially serve as a supplementary tool and provide a multi-dimensional basis for stock investors and policymakers to make decisions.
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Affiliation(s)
- Xiao Ren
- Faculty of Information Engineering, Shaoyang University, Shaoyang 422000, China
| | - Jie Hua
- Faculty of Information Engineering, Shaoyang University, Shaoyang 422000, China
| | - Xin Chi
- Faculty of Information Engineering, Shaoyang University, Shaoyang 422000, China
| | - Yao Tan
- School of Information, Southwest Petroleum University, Nanchong 637001, China
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Meng Q, Fang Z, Mao X, Tang R, Liang C, Hua J, Wang W, Shi S, Yu X, Xu J. Metabolic reprogramming of cancer-associated fibroblasts in pancreatic cancer contributes to the intratumor heterogeneity of PET-CT. Comput Struct Biotechnol J 2023; 21:2631-2639. [PMID: 37153537 PMCID: PMC10160596 DOI: 10.1016/j.csbj.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/21/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Abstract
Intratumor heterogeneity of positron emission tomography-computed tomography (PET-CT) is reflected by variable 18F-fluorodeoxyglucose (FDG) uptake. Increasing evidence has shown that neoplastic and non-neoplastic components can affect the total 18F-FDG uptake in tumors. Cancer-associated fibroblasts (CAFs) is considered as the main non-neoplastic components in tumor microenvironment (TME) of pancreatic cancer. Our study aims to explore the impact of metabolic changes in CAFs on heterogeneity of PET-CT. A total of 126 patients with pancreatic cancer underwent PET-CT and endoscopic ultrasound elastography (EUS-EG) before treatment. High maximum standardized uptake value (SUVmax) from the PET-CT was positively correlated with the EUS-derived strain ratio (SR) and indicated poor prognosis of patients. In addition, single-cell RNA analysis showed that CAV1 affected glycolytic activity and correlated with glycolytic enzyme expression in fibroblasts in pancreatic cancer. We also observed the negative correlation between CAV1 and glycolytic enzyme expression in the tumor stroma by using immunohistochemistry (IHC) assay in the SUVmax-high and SUVmax-low groups of pancreatic cancer patients. Additionally, CAFs with high glycolytic activity contributed to pancreatic cancer cell migration, and blocking CAF glycolysis reversed this process, suggesting that glycolytic CAFs promote malignant biological behavior in pancreatic cancer. In summary, our research demonstrated that the metabolic reprogramming of CAFs affects total 18F-FDG uptake in tumors. Thus, an increase in glycolytic CAFs with decreased CAV1 expression promotes tumor progression, and high SUVmax may be a marker for therapy targeting the neoplastic stroma. Further studies should clarify the underlying mechanisms.
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Affiliation(s)
- Qingcai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Zengli Fang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Xiaoqi Mao
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Rong Tang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence to: Chief of the Chinese Study Group for Pancreatic Cancer (CSPAC); Chair of the Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center; Director of the Pancreatic Cancer Institute, Fudan University, No. 270 Dong'An Road, Xuhui District, Shanghai 200032, China.
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Correspondence to: Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Xuhui District, Shanghai 200032, China.
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Hua J, Wang M, Zhang D, Pei X, Zhao X, Ma X. A THREE-DIMENSIONAL CADMIUM MIXED LIGANDS COORDINATION POLYMER WITH CO2 ADSORPTION ABILITY. J STRUCT CHEM+ 2022. [DOI: 10.1134/s0022476622120162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Fang Z, Meng Q, Xu J, Wang W, Zhang B, Liu J, Liang C, Hua J, Zhao Y, Yu X, Shi S. Signaling pathways in cancer-associated fibroblasts: recent advances and future perspectives. Cancer Commun (Lond) 2022; 43:3-41. [PMID: 36424360 PMCID: PMC9859735 DOI: 10.1002/cac2.12392] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/20/2022] [Accepted: 11/04/2022] [Indexed: 11/26/2022]
Abstract
As a critical component of the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) play important roles in cancer initiation and progression. Well-known signaling pathways, including the transforming growth factor-β (TGF-β), Hedgehog (Hh), Notch, Wnt, Hippo, nuclear factor kappa-B (NF-κB), Janus kinase (JAK)/signal transducer and activator of transcription (STAT), mitogen-activated protein kinase (MAPK), and phosphoinositide 3-kinase (PI3K)/AKT pathways, as well as transcription factors, including hypoxia-inducible factor (HIF), heat shock transcription factor 1 (HSF1), P53, Snail, and Twist, constitute complex regulatory networks in the TME to modulate the formation, activation, heterogeneity, metabolic characteristics and malignant phenotype of CAFs. Activated CAFs remodel the TME and influence the malignant biological processes of cancer cells by altering the transcriptional and secretory characteristics, and this modulation partially depends on the regulation of signaling cascades. The results of preclinical and clinical trials indicated that therapies targeting signaling pathways in CAFs demonstrated promising efficacy but were also accompanied by some failures (e.g., NCT01130142 and NCT01064622). Hence, a comprehensive understanding of the signaling cascades in CAFs might help us better understand the roles of CAFs and the TME in cancer progression and may facilitate the development of more efficient and safer stroma-targeted cancer therapies. Here, we review recent advances in studies of signaling pathways in CAFs and briefly discuss some future perspectives on CAF research.
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Affiliation(s)
- Zengli Fang
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Qingcai Meng
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Jin Xu
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Wei Wang
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Bo Zhang
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Jiang Liu
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Chen Liang
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Jie Hua
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Yingjun Zhao
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Institutes of Biomedical SciencesShanghai Medical CollegeFudan UniversityShanghai200032P. R. China
| | - Xianjun Yu
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
| | - Si Shi
- Department of Pancreatic SurgeryFudan University Shanghai Cancer CenterShanghai200032P. R. China,Department of OncologyShanghai Medical CollegeFudan UniversityShanghai200032P. R. China,Shanghai Pancreatic Cancer InstituteShanghai200032P. R. China,Pancreatic Cancer InstituteFudan UniversityShanghai200032P. R. China
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Chi X, Hua J, Ren X. A Novel Metaphor Graph Drawing Method for Multidimensional Data Visualisation and Its Case Study on COVID-19 Vaccination Analysis. Int J Environ Res Public Health 2022; 19:15547. [PMID: 36497617 PMCID: PMC9741166 DOI: 10.3390/ijerph192315547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Visualisation techniques have been one of the best data processing and analysis methods in recent decades, and they have assisted in data understanding efforts in various fields. Visualisation techniques for low-dimensional data are well developed and applied in multiple sectors; however, multidimensional data visualisation techniques still present some limitations, such as inaccurate data comparison and perception, exaggerated visual differences, label occlusion, and overlap. This study addresses the pros and cons and proposes a novel graphical drawing method, the multidimensional rose chart. It adopts the design idea of the Nightingale rose chart, but overcomes relevant limitations. The main challenges of this area include the incomplete presentation of multidimensional data, the neglect of the linkage of multiple attributes, the inefficient use of space, and the lack of simplicity of the interface. Contributions include enriching the representations of multidimensional data through the use of colour shades, area, and height sizes to represent values; straightforward data attribute comparisons via graph nesting; and detailed attributes showing the use of specific value labels. To verify the preliminary validity of this method, we imported COVID-19 data into experiments and further compared the final layouts with traditional methods, such as the line chart, bar chart, tree, parallel coordinate chart, and Nightingale rose chart, as well as their structures, functionalities, clear advantages, and disadvantages. The experimental results show that multidimensional rose diagrams perform effectively in presenting multidimensional data when comparing other graph drawing methods in our case, and the outcomes match existing works' conclusions in related COVID-19 research sectors. This work has the potential to provide a suitable supplemental approach to the multidimensional data analysis.
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Affiliation(s)
| | - Jie Hua
- Correspondence: ; Tel.: +61-435425678
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Lu SY, Hua J, Liu J, Wei MY, Liang C, Meng QC, Zhang B, Yu XJ, Wang W, Xu J. Turning up the heat on non-immunoreactive tumors: autophagy influences the immune microenvironment in pancreatic cancer. BMC Med Genomics 2022; 15:218. [PMID: 36261830 PMCID: PMC9580150 DOI: 10.1186/s12920-022-01371-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/30/2022] [Indexed: 11/30/2022] Open
Abstract
Background Autophagy regulators play important roles in the occurrence and development of a variety of tumors and are involved in immune regulation and drug resistance. However, the modulatory roles and prognostic value of autophagy regulators in pancreatic cancer have not been identified. Methods Transcriptomic data and survival information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to construct a risk score model. Important clinical features were analyzed to generate a nomogram. In addition, we used various algorithms, including ssGSEA, CIBERSORT, XCELL, EPIC, TIMER, and QUANTISEQ, to evaluate the roles of autophagy regulators in the pancreatic cancer immune microenvironment. Furthermore, the mutation landscape was compared between different risk groups. Results Pan cancer analysis indicated that most of the autophagy regulators were upregulated in pancreatic cancer and were correlated with methylation and CNV level. MET, TSC1, and ITGA6 were identified as the prognostic autophagy regulators and used to construct a risk score model. Some critical clinical indicators, such as age, American Joint Committee on Cancer (AJCC) T stage, AJCC N stage, alcohol and sex, were combined with the risk model to establish the nomogram, which may offer clinical guidance. In addition, our study demonstrated that the low score groups exhibited high immune activity and high abundances of various immune cells, including T cells, B cells, and NK cells. Patients with high risk scores exhibited lower half inhibitory concentration (IC50) values for paclitaxel and had downregulated expression profiles of PD1, CTLA4, and LAG3. Mutation investigation indicated that the high risk groups exhibited a higher mutation burden and higher mutation number compared to the low risk groups. additionally, we verified our risk stratification method using cytology and histology data from our center, and the results are satisfactory. Conclusion We speculated that autophagy regulators have large effects on the prognosis, immune landscape and drug sensitivity of pancreatic cancer. Our model, which combines critical autophagy regulators and clinical indicators, will provide guidance for clinical treatment. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-022-01371-0.
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Affiliation(s)
- Si-Yuan Lu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Miao-Yan Wei
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Qing-Cai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xian Jun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, 200032, Shanghai, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. .,Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, 200032, Shanghai, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
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Chen L, Hua J, He X. Co-expression network analysis identifies potential candidate hub genes in severe influenza patients needing invasive mechanical ventilation. BMC Genomics 2022; 23:703. [PMID: 36243706 PMCID: PMC9569050 DOI: 10.1186/s12864-022-08915-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Influenza is a contagious disease that affects people of all ages and is linked to considerable mortality during epidemics and occasional outbreaks. Moreover, effective immunological biomarkers are needed for elucidating aetiology and preventing and treating severe influenza. Herein, we aimed to evaluate the key genes linked with the disease severity in influenza patients needing invasive mechanical ventilation (IMV). Three gene microarray data sets (GSE101702, GSE21802, and GSE111368) from blood samples of influenza patients were made available by the Gene Expression Omnibus (GEO) database. The GSE101702 and GSE21802 data sets were combined to create the training set. Hub indicators for IMV patients with severe influenza were determined using differential expression analysis and Weighted correlation network analysis (WGCNA) from the training set. The receiver operating characteristic curve (ROC) was also used to evaluate the hub genes from the test set's diagnostic accuracy. Different immune cells' infiltration levels in the expression profile and their correlation with hub gene markers were examined using single-sample gene set enrichment analysis (ssGSEA). RESULTS In the present study, we evaluated a total of 447 differential genes. WGCNA identified eight co-expression modules, with the red module having the strongest correlation with IMV patients. Differential genes were combined to obtain 3 hub genes (HLA-DPA1, HLA-DRB3, and CECR1). The identified genes were investigated as potential indicators for patients with severe influenza who required IMV using the least absolute shrinkage and selection operator (LASSO) approach. The ROC showed the diagnostic value of the three hub genes in determining the severity of influenza. Using ssGSEA, it has been revealed that the expression of key genes was negatively correlated with neutrophil activation and positively associated with adaptive cellular immune response. CONCLUSION We evaluated three novel hub genes that could be linked to the immunopathological mechanism of severe influenza patients who require IMV treatment and could be used as potential biomarkers for severe influenza prevention and treatment.
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Affiliation(s)
- Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
| | - Jie Hua
- Department of Gastroenterology, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Nanjing, China
| | - Xiaopu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital With Nanjing Medical University, No.300 Guangzhou Road, Nanjing city, 210029, Jiangsu Province, China.
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Lu SY, Hua J, Liu J, Wei MY, Liang C, Meng QC, Zhang B, Yu XJ, Wang W, Xu J. Pyroptosis-related lncRNA pairs to estimate the molecular features and prognostic outcomes of pancreatic ductal adenocarcinoma. Transl Oncol 2022; 25:101524. [PMID: 36041293 PMCID: PMC9449668 DOI: 10.1016/j.tranon.2022.101524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/09/2022] [Accepted: 08/24/2022] [Indexed: 10/31/2022] Open
Abstract
Pyroptosis is a form of programmed cell death associated with inflammatory alterations. However, the intrinsic mechanisms and underlying correlation of pyroptosis-related lncRNAs (PRLs) in pancreatic ductal adenocarcinoma (PDAC) remain unclear. The objective of the current research was to identify pyroptosis-related lncRNAs and a prognostic model to predict the prognosis of patients. We extracted pyroptosis-related lncRNAs to construct a risk model and validated them at Fudan University Shanghai Cancer Center. Crosstalk between lncRNA SNHG10 and GSDMD was found to regulate pyroptosis levels. A new algorithm was used to establish a 0 or 1 PRL pair matrix and prognostic model. Six pyroptosis-related lncRNA pairs were identified and utilized to construct a risk model. The low-risk groups exhibited better prognoses than the high-risk groups. The area under the curve (AUC) indicated extremely high accuracy, reaching 0.810 at 1 year, 0.850 at 2 years, and 0.850 at 3 years in the training set. Patients with different risk scores exhibited distinct metabolic, inflammatory, and immune microenvironments as well as tumor mutation landscapes. Additionally, 9 commonly used chemotherapeutic drugs exhibited different sensitivities between the high- and low-risk groups. To conclude, we propose that pyroptosis exhibits a close correlation with PDAC. Our risk model based on PRL pairs may be beneficial for the accurate estimation of prognostic outcomes, the immune microenvironment, and drug sensitivity, bringing therapeutic hope for patients with PDAC.
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Affiliation(s)
- Si-Yuan Lu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Jie Hua
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Jiang Liu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Miao-Yan Wei
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Chen Liang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Qing-Cai Meng
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Xian-Jun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China
| | - Wei Wang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China.
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, PR. China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR. China; Shanghai Pancreatic Cancer Institute, Shanghai, PR. China; Pancreatic Cancer Institute, Fudan University, Shanghai, PR. China.
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Xu Y, Zhong P, Hua J, Cai S, Yang YM, Ding Y. [A case report of neck congenital fibrosarcoma in newborns]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:998-999. [PMID: 36058669 DOI: 10.3760/cma.j.cn115330-20211103-00711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Y Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Chengdu Women and Children's Central Hospital,Chengdu 6117311, China
| | - P Zhong
- Department of Pediatric Surgery, Chengdu Women and Children's Central Hospital,Chengdu 6117311, China
| | - J Hua
- Department of Pathology, Chengdu Women and Children's Central Hospital, Chengdu 6117311, China
| | - S Cai
- Department of Pathology, Chengdu Women and Children's Central Hospital, Chengdu 6117311, China
| | - Y M Yang
- Department of B-Ultrasound Room, Chengdu Women and Children's Central Hospital, Chengdu 6117311, China
| | - Yumei Ding
- Department of Radiology Department, Chengdu Women and Children's Central Hospital, Chengdu 6117311, China
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Hua J, Li J, Zhan Z, Chai Y, Cheng Z, Li P, Dong H, Wang J. High efficiency and low operating voltage yellow phosphorescent organic light-emitting diodes with a simple doping-free structure. RSC Adv 2022; 12:21932-21939. [PMID: 36043073 PMCID: PMC9362734 DOI: 10.1039/d2ra03617g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 07/22/2022] [Indexed: 12/02/2022] Open
Abstract
Yellow phosphorescent organic light-emitting diodes (PhOLEDs) with high efficiency and a low operating voltage were reported through using a simple doping-free structure. The structure of the PhOLEDs was ITO/C60/MoO3/mCP/PO-01-TB/PO-T2T/Liq/Al. The np-type C60/MoO3 heterojunction acted as hole injection layer, and the ultrathin PO-01-TB layer (0.1 nm) was inserted at the interface between mCP and PO-T2T to serve as yellow phosphorescent emitter. Detailed investigation suggested that the complete energy transfer occurred from the mCP/PO-T2T interfacial exciplex to yellow PO-01-TB. Furthermore, the np-type C60/MoO3 heterojunction could supply more free charge carriers, giving rise to further enhanced PhOLED efficiency. By adjusting the thickness of the C60/MoO3 heterojunction, a yellow PhOLED with a power efficiency of 71.6 lm W−1 was demonstrated with an extremely low operating voltage of 3.79 V at 1000 cd m−2. A PhOLED with lower operating voltage and power efficiency was demonstrated by combining an np-type C60/MoO3 hole-injecting layer with a doping-free ultrathin phosphorescent emitter based on an interfacial exciplex strategy.![]()
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Affiliation(s)
- Jie Hua
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China .,College of Information Technology, Jilin Normal University Siping 136000 China
| | - Jiaxin Li
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China .,College of Information Technology, Jilin Normal University Siping 136000 China
| | - Zhuolin Zhan
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Yuan Chai
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China .,College of Information Technology, Jilin Normal University Siping 136000 China
| | - Zeyuan Cheng
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - Peiding Li
- College of Information Technology, Jilin Normal University Siping 136000 China
| | - He Dong
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China .,College of Information Technology, Jilin Normal University Siping 136000 China
| | - Jin Wang
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University Siping 136000 China .,College of Information Technology, Jilin Normal University Siping 136000 China
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Song X, Tang H, Yang C, Zhou G, Wang Y, Huang X, Hua J, Coatrieux G, He X, Chen Y. Deformable transformer for endoscopic video super-resolution. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Liu GS, Huang PY, Wen ML, Zhuang SS, Hua J, He XP. Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network. World J Gastroenterol 2022; 28:2457-2467. [PMID: 35979257 PMCID: PMC9258283 DOI: 10.3748/wjg.v28.i22.2457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/27/2021] [Accepted: 04/28/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND A convolutional neural network (CNN) is a deep learning algorithm based on the principle of human brain visual cortex processing and image recognition.
AIM To automatically identify the invasion depth and origin of esophageal lesions based on a CNN.
METHODS A total of 1670 white-light images were used to train and validate the CNN system. The method proposed in this paper included the following two parts: (1) Location module, an object detection network, locating the classified main image feature regions of the image for subsequent classification tasks; and (2) Classification module, a traditional classification CNN, classifying the images cut out by the object detection network.
RESULTS The CNN system proposed in this study achieved an overall accuracy of 82.49%, sensitivity of 80.23%, and specificity of 90.56%. In this study, after follow-up pathology, 726 patients were compared for endoscopic pathology. The misdiagnosis rate of endoscopic diagnosis in the lesion invasion range was approximately 9.5%; 41 patients showed no lesion invasion to the muscularis propria, but 36 of them pathologically showed invasion to the superficial muscularis propria. The patients with invasion of the tunica adventitia were all treated by surgery with an accuracy rate of 100%. For the examination of submucosal lesions, the accuracy of endoscopic ultrasonography (EUS) was approximately 99.3%. Results of this study showed that EUS had a high accuracy rate for the origin of submucosal lesions, whereas the misdiagnosis rate was slightly high in the evaluation of the invasion scope of lesions. Misdiagnosis could be due to different operating and diagnostic levels of endoscopists, unclear ultrasound probes, and unclear lesions.
CONCLUSION This study is the first to recognize esophageal EUS images through deep learning, which can automatically identify the invasion depth and lesion origin of submucosal tumors and classify such tumors, thereby achieving good accuracy. In future studies, this method can provide guidance and help to clinical endoscopists.
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Affiliation(s)
- Gao-Shuang Liu
- Department of Gastroenterology, Nanjing BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
| | - Pei-Yun Huang
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
| | - Min-Li Wen
- School of Computer Science and Engineering, Southeast University, Nanjing 211102, Jiangsu Province, China
| | - Shuai-Shuai Zhuang
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
| | - Jie Hua
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
| | - Xiao-Pu He
- Department of Geriatric Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
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Ruan WC, Li J, Zhang YJ, Zheng SS, Wang D, Yu H, Chen JP, Bao YY, Shao L, Fu LL, Zou Y, Hua J, Li HF. [Investigate developmental coordination disorder of kindergarten children in Zhejiang Province]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:838-842. [PMID: 35785866 DOI: 10.3760/cma.j.cn112150-20210719-00691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In order to investigate developmental coordination disorder (DCD) of kindergarten children in Zhejiang province, 200 ordinary kindergartens were randomly selected by stratified random sampling in 11 prefecture-level cities of Zhejiang Province, and 38 900 children from 1 000 classes in each grade were then randomly selected into the study from June 2019 to December 2019. The Little DCD Questionnaire and a self-designed questionnaire were used to screen the DCD of those children. There were 36 807 valid questionnaires, and 6.50% (2 391/36 807) of them were positive results. The results showed that boy, age ≤5 years, overweight or obesity, left handedness, comorbidity with motor or developmental disorders and premature infants were risk factors of DCD in children. As for parents and families, maternal gestational age<20 years, maternal overweight or obesity before pregnancy, low-middle level education of parents, direct family and low income of family were also associated with DCD in children. Therefore, it is necessary to conduct early prevention and intervention strategies targeting on identified risk factors among relevant population.
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Affiliation(s)
- W C Ruan
- Department of Rehabilitation, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - J Li
- Jiaxing Maternity and Child Health Care Hospital, Jiaxing 314050, China
| | - Y J Zhang
- The Second People's Hospital of Haining, Haining 314419, China
| | - S S Zheng
- Wenling Women's and Children's Hospital, Wenling 317599, China
| | - D Wang
- Yiwu Maternity and Children Hospital, Yiwu 322099, China
| | - H Yu
- Shaoxing Maternity and Child Health Care Hospital, Shaoxing 312099, China
| | - J P Chen
- The Women and Children Hospital of Dongyang, Dongyang 322199, China
| | - Y Y Bao
- Kindergarten of Hangzhou Normal University, Hangzhou 310012, China
| | - L Shao
- Jinhua Maternal and Child Health Care Hospital, Jinhua 321099, China
| | - L L Fu
- Pujiang Maternity and Child Health Care Hospital, Pujiang 322299, China
| | - Y Zou
- Zhejiang Center for Disease Control and Prevention, Hangzhou 310057, China
| | - J Hua
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 200040, China
| | - H F Li
- Department of Rehabilitation, the Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
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