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Hennebelle A, Ismail L, Materwala H, Al Kaabi J, Ranjan P, Janardhanan R. Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction. Comput Struct Biotechnol J 2024; 23:212-233. [PMID: 38169966 PMCID: PMC10758733 DOI: 10.1016/j.csbj.2023.11.038] [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: 07/11/2023] [Revised: 11/20/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024] Open
Abstract
Diabetes Mellitus, one of the leading causes of death worldwide, has no cure to date and can lead to severe health complications, such as retinopathy, limb amputation, cardiovascular diseases, and neuronal disease, if left untreated. Consequently, it becomes crucial to be able to monitor and predict the incidence of diabetes. Machine learning approaches have been proposed and evaluated in the literature for diabetes prediction. This paper proposes an IoT-edge-Artificial Intelligence (AI)-blockchain system for diabetes prediction based on risk factors. The proposed system is underpinned by blockchain to obtain a cohesive view of the risk factors data from patients across different hospitals and ensure security and privacy of the user's data. We provide a comparative analysis of different medical sensors, devices, and methods to measure and collect the risk factors values in the system. Numerical experiments and comparative analysis were carried out within our proposed system, using the most accurate random forest (RF) model, and the two most used state-of-the-art machine learning approaches, Logistic Regression (LR) and Support Vector Machine (SVM), using three real-life diabetes datasets. The results show that the proposed system predicts diabetes using RF with 4.57% more accuracy on average in comparison with the other models LR and SVM, with 2.87 times more execution time. Data balancing without feature selection does not show significant improvement. When using feature selection, the performance is improved by 1.14% for PIMA Indian and 0.02% for Sylhet datasets, while it is reduced by 0.89% for MIMIC III.
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Affiliation(s)
- Alain Hennebelle
- School of Computing and Information Systems, The University of Melbourne, Australia
| | - Leila Ismail
- School of Computing and Information Systems, The University of Melbourne, Australia
- Intelligent Distributed Computing and Systems Lab, Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, United Arab Emirates
- National Water and Energy Center, United Arab Emirates University, United Arab Emirates
| | - Huned Materwala
- Intelligent Distributed Computing and Systems Lab, Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, United Arab Emirates
- National Water and Energy Center, United Arab Emirates University, United Arab Emirates
| | - Juma Al Kaabi
- College of Medicine and Health Sciences, Department of Internal Medicine, United Arab Emirates University, United Arab Emirates
- Tawam and Mediclinic Hospitals, Al Ain, Abu Dhabi, United Arab Emirates
| | - Priya Ranjan
- School of Computer Science, Internet of Things Center of Excellence, University of Petroleum and Energy Studies, India
| | - Rajiv Janardhanan
- Faculty of Medical & Health Sciences, SRM Institute of Science & Technology, India
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Yang YY, Tsai IT, Lai CH, Chen CP, Chen C, Hsu YC. Time to positivity of Klebsiella pneumoniae in blood cultures as prognostic marker in patients with intra-abdominal infection: A retrospective study. Virulence 2024; 15:2329397. [PMID: 38548677 PMCID: PMC10984124 DOI: 10.1080/21505594.2024.2329397] [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: 07/09/2023] [Accepted: 03/06/2024] [Indexed: 04/02/2024] Open
Abstract
Klebsiella pneumoniae is a common causative pathogen of intra-abdominal infection with concomitant bacteraemia, leading to a significant mortality risk. The time to positivity (TTP) of blood culture is postulated to be a prognostic factor in bacteraemia caused by other species. Therefore, this study aimed to investigate the prognostic value of TTP in these patients. The single-centred, retrospective, observational cohort study was conducted between 1 July 2016 and 30 June 2021. All adult emergency department patients with diagnosis of intra-abdominal infection and underwent blood culture collection which yield K. pneumoniae during this period were enrolled. A total of 196 patients were included in the study. The overall 30-day mortality rate was 12.2% (24/196), and the median TTP of the studied cohort was 12.3 h (10.5-15.8 h). TTP revealed a moderate 30-day mortality discriminative ability (area under the curve 0.73, p < 0.001). Compared with the late TTP group (>12 h, N = 109), patients in the early TTP (≤12 h, N = 87) group had a significantly higher risk of 30-day morality (21.8% vs. 4.6%, p < 0.01) and other adverse outcomes. Furthermore, TTP (odds ratio [OR] = 0.79, p = 0.02), Pitt bacteraemia score (OR = 1.30, p = 0.03), and implementation of source control (OR = 0.06, p < 0.01) were identified as independent factors related to 30-day mortality risk in patients with intra-abdominal infection and K. pneumoniae bacteraemia. Therefore, physicians can use TTP for prognosis stratification in these patients.
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Affiliation(s)
- Yong-Ye Yang
- Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - I-Ting Tsai
- Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Chung-Hsu Lai
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan
- Division of Infectious Diseases, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Chih-Ping Chen
- Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Chia‐Chi Chen
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan
- Department of Pathology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Yin-Chou Hsu
- Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
- School of Chinese Medicine for Post Baccalaureate, I-Shou University, Kaohsiung, Taiwan
- School of Medicine for International Student, I-Shou University, Kaohsiung, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Zhang Z, Zhang L, Li J, Feng R, Li C, Liu Y, Sun G, Xiao F, Zhang C. Comprehensive analysis of m 6A methylome alterations after azacytidine plus venetoclax treatment for acute myeloid leukemia by nanopore sequencing. Comput Struct Biotechnol J 2024; 23:1144-1153. [PMID: 38510975 PMCID: PMC10950754 DOI: 10.1016/j.csbj.2024.02.029] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/22/2024] Open
Abstract
N6 adenosine methylation (m6A), one of the most prevalent internal modifications on mammalian RNAs, regulates RNA transcription, stabilization, and splicing. Growing evidence has focused on the functional role of m6A regulators on acute myeloid leukemia (AML). However, the global m6A levels after azacytidine (AZA) plus venetoclax (VEN) treatment in AML patients remain unclear. In our present study, bone marrow (BM) sample pairs (including pre-treatment [AML] and post-treatment [complete remission (CR)] samples) were harvested from three AML patients who had achieved CR after AZA plus VEN treatment for Nanopore direct RNA sequencing. Notably, the amount of m6A sites and the m6A levels in CR BMs was significantly lower than those in the AML BMs. Such a significant reduction in the m6A levels was also detected in AZA-treated HL-60 cells. Thirteen genes with decreased m6A and expression levels were identified, among which three genes (HPRT1, SNRPC, and ANP32B) were closely related to the prognosis of AML. Finally, we speculated the mechanism via which m6A modifications affected the mRNA stability of these three genes. In conclusion, we illustrated for the first time the global landscape of m6A levels in AZA plus VEN treated AML (CR) patients and revealed that AZA had a significant demethylation effect at the RNA level in AML patients. In addition, we identified new biomarkers for AZA plus VEN-treated AML via Nanopore sequencing technology in RNA epigenetics.
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Affiliation(s)
- Zaifeng Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/ National Center of Gerontology of National Health Commission, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, 9 DongDan Santiao, Beijing 100730, China
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lili Zhang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiangtao Li
- Department of Hematology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ru Feng
- Department of Hematology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chang Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/ National Center of Gerontology of National Health Commission, Beijing, China
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ye Liu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/ National Center of Gerontology of National Health Commission, Beijing, China
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Gaoyuan Sun
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Fei Xiao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/ National Center of Gerontology of National Health Commission, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, 9 DongDan Santiao, Beijing 100730, China
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chunli Zhang
- Department of Hematology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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Lou W, Xiao S, Lin K. Identification of a hypoxia-suppressed lncRNA RAMP2-AS1 in breast cancer. Noncoding RNA Res 2024; 9:782-795. [PMID: 38590436 PMCID: PMC10999373 DOI: 10.1016/j.ncrna.2024.02.007] [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: 10/16/2023] [Revised: 01/08/2024] [Accepted: 02/06/2024] [Indexed: 04/10/2024] Open
Abstract
Hypoxia is a critical feature of solid tumors and exerts crucial roles in cancers, including breast cancer. However, the detailed relationship between lncRNA-miRNA-mRNA triple network and hypoxia in breast cancer is still indistinct. In this study, a series of in silico analyses and online databases or tools were employed to establish a hypoxia-related lncRNA-miRNA-mRNA network in breast cancer based on competing endogenous RNA mechanism at single-cell resolution. RAMP2-AS1 was, eventually, identified as the most potential lncRNA, which was significantly negatively associated with hypoxia in breast cancer. Compared with normal controls, RAMP2-AS1 was markedly downregulated in breast cancer. Moreover, survival analysis revealed favorable prognostic values of RAMP2-AS1 in total or in specific clinicopathological breast cancer patients. Next, miR-660-5p, miR-2277-5p and miR-1301-3p, upregulated and possessed poor prognostic values in breast cancer, were identified as three potential downstream miRNAs of RAMP2-AS1. Then, the most potential downstream hypoxia-related genes (ATM and MYH11) of RAMP2-AS1/miRNA axis in breast cancer were screened out. Intriguingly, in vitro experiments confirmed that RAMP2-AS1 was a hypoxia-suppressed lncRNA and miR-660-5p/ATM was a potential downstream axis of RAMP2-AS1 in breast cancer. Collectively, our current data elucidated a key hypoxia-suppressed lncRNA RAMP2-AS1 and its possible miRNA-mRNA regulatory mechanism in breast cancer.
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Affiliation(s)
- Weiyang Lou
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Shuyuan Xiao
- Department of Anesthesiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
| | - Kuailu Lin
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
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Liu S, Wang S, Guo J, Wang C, Zhang H, Lin D, Wang Y, Hu X. Crosstalk among disulfidptosis-related lncRNAs in lung adenocarcinoma reveals a correlation with immune profile and clinical prognosis. Noncoding RNA Res 2024; 9:772-781. [PMID: 38590434 PMCID: PMC10999374 DOI: 10.1016/j.ncrna.2024.03.006] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
Disulfidptosis refers to a specific programmed cell death process characterized by the accumulation of disulfides. It has recently been reported in several cancers. However, the impact of disulfidptosis-related long non-coding RNAs (lncRNAs) on malignant tumors has remained largely unknown. In the present work, we screened prognostic disulfidptosis-related lncRNAs and studied their effects on lung adenocarcinoma. Relevant clinical data of lung adenocarcinoma cases were retrieved from The Cancer Genome Atlas (TCGA) database. RNA sequencing was used to identify differentially expressed disulfidptosis-related lncRNAs within lung adenocarcinoma. In addition, prognostic disulfidptosis-related lncRNAs were obtained through univariate Cox regression analysis. LASSO-COX was used to construct new disulfidptosis-related lncRNA signatures. Different statistical approaches were used to validate the practicability and accuracy of the disulfidptosis-related lncRNAs signatures. Furthermore, several bioinformatic approaches were used to study relevant heterogeneities in biological processes and pathways of diverse risk groups. Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) was conducted to analyze the expression of disulfidptosis-related lncRNAs. Finally, seven disulfidptosis-related lncRNA signatures were identified in lung adenocarcinoma cells. The prognosis prediction model constructed efficiently predicted patient survival. Subgroup analysis revealed significant differences in immune cell proportion, including T follicular helper cells and M0 macrophages. In addition, in vitro experimental results demonstrated significant differences in disulfidptosis-related lncRNAs. Altogether, the six disulfidptosis-related lncRNA signatures could serve as a potential prognostic biomarker for lung adenocarcinoma. Furthermore, these can be used as a prediction model in individualized immunotherapy for lung adenocarcinoma.
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Affiliation(s)
- Shifeng Liu
- Department of Interventional Medical Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Song Wang
- Department of Interventional Medical Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jian Guo
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Congxiao Wang
- Department of Interventional Medical Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hao Zhang
- Department of Interventional Medical Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Dongliang Lin
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yuanyong Wang
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi'an, China
| | - Xiaokun Hu
- Department of Interventional Medical Center, The Affiliated Hospital of Qingdao University, Qingdao, China
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Su Y, Mei L, Jiang T, Wang Z, Ji Y. Novel role of lncRNAs regulatory network in papillary thyroid cancer. Biochem Biophys Rep 2024; 38:101674. [PMID: 38440062 PMCID: PMC10909982 DOI: 10.1016/j.bbrep.2024.101674] [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: 01/17/2024] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 03/06/2024] Open
Abstract
Papillary thyroid cancer (PTC) is the most common endocrine malignancy. The incidence of PTC has increased annually worldwide. Thus, PTC diagnosis and treatment attract more attention. Noncoding RNAs (lncRNAs) play crucial roles in PTC progression and act as prognostic biomarkers. Moreover, microRNAs (miRNAs) and epithelial-mesenchymal transition (EMT)-associated proteins have potential biomarkers for diagnosing and treating PTC. However, the correlation of lncRNAs with miRNAs and EMT-associated proteins needs further clarification. The present review highlights the recent advances of lncRNAs in PTC. We significantly summarized the two molecular regulatory mechanisms in PTC progress, including lncRNAs-miRNAs-protein signaling axes and lncRNAs-EMT pathways. This review will help our understanding of the association between lncRNAs and PTC and may assist us in evaluating the prognosis for PTC patients. Taken together, targeting the lncRNAs regulatory network has promising applications in diagnosing and treating PTC.
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Affiliation(s)
- Yuanhao Su
- Department of General Surgery, The Second Affiliated Hospital, Xi'an Jiaotong, University, Xi'an, 710004, China
| | - Lin Mei
- Scientific Research Center and Precision Medical Institute, The Second Affiliated, Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Tiantian Jiang
- Department of General Surgery, The Second Affiliated Hospital, Xi'an Jiaotong, University, Xi'an, 710004, China
| | - Zhidong Wang
- Department of General Surgery, The Second Affiliated Hospital, Xi'an Jiaotong, University, Xi'an, 710004, China
| | - Yuanyuan Ji
- Scientific Research Center and Precision Medical Institute, The Second Affiliated, Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
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Zuniga RDDR, Vieira RDCA, Solla DJF, Godoy DA, Kolias A, de Amorim RLO, de Andrade AF, Teixeira MJ, Paiva WS. Long-term outcome of traumatic brain injury patients with initial GCS of 3-5. World Neurosurg X 2024; 23:100361. [PMID: 38511161 PMCID: PMC10950742 DOI: 10.1016/j.wnsx.2024.100361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 03/01/2024] [Indexed: 03/22/2024] Open
Affiliation(s)
| | | | - Davi Jorge Fontoura Solla
- Department of Neurology, Clinics Hospital of the University of São Paulo Medical School, São Paulo, São Paulo, Brazil
| | | | | | - Robson Luis Oliveira de Amorim
- Department of Neurology, Clinics Hospital of the University of São Paulo Medical School, São Paulo, São Paulo, Brazil
- Federal University of Amazonas, Manaus, Amazonas, Brazil
| | - Almir Ferreira de Andrade
- Department of Neurology, Clinics Hospital of the University of São Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Manoel Jacobsen Teixeira
- Department of Neurology, Clinics Hospital of the University of São Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Wellingson Silva Paiva
- Department of Neurology, Clinics Hospital of the University of São Paulo Medical School, São Paulo, São Paulo, Brazil
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Anthony P, Barat S, Ahmadi N, Morris DL. The CEA/PCI ratio is a superior prognosticator than mCOREP for colorectal cancer patients with peritoneal carcinomatosis. Surg Open Sci 2024; 19:28-31. [PMID: 38585035 PMCID: PMC10995861 DOI: 10.1016/j.sopen.2024.03.014] [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: 12/02/2023] [Revised: 03/15/2024] [Accepted: 03/25/2024] [Indexed: 04/09/2024] Open
Abstract
Background The CEA/PCI ratio, which evaluates tumour marker and burden, has been demonstrated as a prognosticator for patients with colorectal cancer with peritoneal carcinomatosis. The aim of this study was to compare the CEA/PCI ratio with the Modified Colorectal Peritoneal Score (mCOREP) for overall survival (OS) and recurrence free survival (RFS). There is no literature currently comparing both markers for RFS. Methods Data was collected retrospectively for patients undergoing CRS and hyperthermic intraperitoneal chemotherapy (HIPEC) at the Peritonectomy Unit at St. George Hospital, NSW from January 2015 to December 2021. Results From 187 patients, an increase in CEA/PCI ratio was associated with reduced OS (p < 0.01) and RFS (p < 0.01), whereas mCOREP score did not demonstrate such association with OS (p = 0.5) nor RFS (p = 0.4). However, CEA/PCI ratio greater than the median of 0.63 was correlated with an increased OS (p = 0.01), whereas the mCOREP greater than the median of 4 correlated with reduced OS (p < 0.01). Median mCOREP also demonstrated association with reduced RFS in patients with PCI <15 (p = 0.03), whereas CEA/PCI ratio above 0.63 demonstrated association with reduced RFS in patients with PCI ≥ 15 (p = 0.02). Conclusion The CEA/PCI ratio is more associated with OS and RFS in patients with colorectal cancer with peritoneal carcinomatosis, when compared with mCOREP. CEA/PCI ratio above 0.63 was correlated with increased OS, whereas mCOREP above 4 is correlated with reduced OS. CEA/PCI ratio above 0.63 demonstrated reduced RFS for patients with higher PCIs. By contrast, mCOREP >4 illustrated reduced RFS in patients with lower PCIs.
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Affiliation(s)
- Phelopatir Anthony
- South Eastern Sydney Local Health District, Australia
- University of New South Wales, NSW, Australia
| | - Shoma Barat
- South Eastern Sydney Local Health District, Australia
| | - Nima Ahmadi
- South Eastern Sydney Local Health District, Australia
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Arcaini L, Bommier C, Alderuccio JP, Merli M, Fabbri N, Nizzoli ME, Maurer MJ, Tarantino V, Ferrero S, Rattotti S, Talami A, Murru R, Khurana A, Mwangi R, Deodato M, Cencini E, Re F, Visco C, Feldman AL, Link BK, Delamain MT, Spina M, Annibali O, Pulsoni A, Ferreri AJ, Stelitano CC, Pennese E, Habermann TM, Marcheselli L, Han S, Reis IM, Paulli M, Lossos IS, Cerhan JR, Luminari S. Marginal zone lymphoma international prognostic index: a unifying prognostic index for marginal zone lymphomas requiring systemic treatment. EClinicalMedicine 2024; 72:102592. [PMID: 38633575 PMCID: PMC11019091 DOI: 10.1016/j.eclinm.2024.102592] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 04/19/2024] Open
Abstract
Background Marginal zone lymphomas (MZL), comprised of three unique but related subtypes, lack a unifying prognostic score applicable to all the patients in need for systemic chemotherapy and/or immunotherapy. Methods Patients from the prospective NF10 study (NCT02904577) with newly diagnosed MZL and receiving frontline systemic therapy at diagnosis or after observation were used to train a prognostic model. The primary endpoint was progression-free survival (PFS) from start of treatment. The model was externally validated in a pooled analysis of two independent cohorts from the University of Iowa and Mayo Clinic Molecular Epidemiology Resource and the University of Miami. Findings We identified 501 eligible patients. After multivariable modeling, lactate dehydrogenase (LDH) above upper normal limit, hemoglobin <12 g/dL, absolute lymphocyte count <1 × 109/L, platelets <100 × 109/L, and MZL subtype (nodal or disseminated) were independently associated with inferior PFS. The proposed MZL International Prognostic index (MZL-IPI) combined these 5 factors, and we defined low (LRG, 0 factors, 27%), intermediate (IRG, 1-2 factors, 57%) and high (HRG, 3+ factors, 16%) risk groups with 5-y PFS of 85%, 66%, and 37%, respectively (c-Harrell = 0.64). Compared to the LRG, the IRG (Hazard Ratio [HR] = 2.30, 95% CI 1.39-3.80) and HRG (HR = 5.41, 95% CI 3.12-9.38) had inferior PFS. Applying the MZL-IPI to the pooled US cohort (N = 353), 94 (27%), 192 (54%), and 67 (19%) patients were classified as LRG, IRG, and HRG, respectively, and the model was validated for PFS (log-rank test p = 0.0018; c-Harrell = 0.578, 95% CI 0.54-0.62). The MZL-IPI was also prognostic for OS in both the training and the external validation sets. Interpretation MZL-IPI is a new prognostic score for use in all patients with MZL considered for systemic treatment. Funding The MER was supported by P50 CA97274 and U01 CA195568.
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Affiliation(s)
- Luca Arcaini
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Division of Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Côme Bommier
- Hemato-Oncology Department, DMU DHI, Hôpital Saint Louis, Paris, France
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Juan Pablo Alderuccio
- Division of Hematology, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Michele Merli
- Division of Hematology, University Hospital Ospedale di Circolo e Fondazione Macchi-ASST Sette Laghi, University of Insubria, Varese, Italy
| | - Nicole Fabbri
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Maria Elena Nizzoli
- Division of Hematology, Azienda Unità Sanitaria Locale – IRCCS, Reggio Emilia, Italy
- Clinical and Experimental Medicine Doctorate School, Università degli Studi di Modena e Reggio Emilia, Italy
| | - Matthew J. Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Vittoria Tarantino
- Division of Hematology, Azienda Ospedaliera Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy
| | - Simone Ferrero
- Division of Hematology, Department of Molecular Biotechnologies and Health Sciences, University of Torino, and AOU “Città della Salute e della Scienza di Torino”, Torino, Italy
| | - Sara Rattotti
- Division of Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Annalisa Talami
- Clinical and Experimental Medicine Doctorate School, Università degli Studi di Modena e Reggio Emilia, Italy
| | - Roberta Murru
- Hematology and Stem Cell Transplantation Unit, Ospedale Oncologico A. Businco, ARNAS G. Brotzu, Cagliari, Italy
| | | | - Raphael Mwangi
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Marina Deodato
- Division of Hematology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy
| | - Emanuele Cencini
- Division of Hematology, Azienda Ospedaliera Universitaria Senese and University of Siena, Siena, Italy
| | - Francesca Re
- Division of Hematology, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Carlo Visco
- Division of Hematology, San Bortolo Hospital, AULSS 8 Berica, Vicenza, Italy
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Brian K. Link
- Department of Internal Medicine, University of Iowa Hospitals, Iowa City, IA, USA
| | - Marcia Torresan Delamain
- Faculty of Medical of Minas Gerais, Feluma, Brazil for Faculty of Medical of Minas Gerais, Belo Horizonte, Brazil
| | - Michele Spina
- Division of Medical Oncology and Immune-Related Tumors, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Ombretta Annibali
- Division of Hematology, Stem Cell Transplantation, University Campus Bio-Medico, Roma, Italy
| | - Alessandro Pulsoni
- Division of Hematology, Sapienza University – Polo Pontino, Department of Translational and Precision Medicine, S.M. Goretti Hospital, Latina, Italy
| | - Andrés J.M. Ferreri
- Lymphoma Unit, IRCCS San Raffaele Scientific Institute, and University Vita-Salute San Raffaele, Milano, Italy
| | - Caterina Cecilia Stelitano
- Division of Hematology, Grande Ospedale Metropolitano, Bianchi Melacrino Morelli, Reggio Calabria, Reggio Calabria, Italy
| | - Elsa Pennese
- Division of Hematology, Ospedale Spirito Santo, Pescara, Italy
| | | | | | - Sunwoo Han
- Biostatistics and Bioinformatics Shared Resource, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Isildinha M. Reis
- Biostatistics and Bioinformatics Shared Resource, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Marco Paulli
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Division of Pathology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Izidore S. Lossos
- Division of Hematology, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - James R. Cerhan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Stefano Luminari
- Division of Hematology, Azienda Unità Sanitaria Locale – IRCCS, Reggio Emilia, Italy
- Department CHIMOMO, University of Modena and Reggio Emilia, Modena, Italy
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10
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Li H, Chan L, Chan P, Wen C. An interpretable knee replacement risk assessment system for osteoarthritis patients. Osteoarthr Cartil Open 2024; 6:100440. [PMID: 38385105 PMCID: PMC10878788 DOI: 10.1016/j.ocarto.2024.100440] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/07/2024] [Accepted: 02/12/2024] [Indexed: 02/23/2024] Open
Abstract
Objective Knee osteoarthritis (OA) is a complex disease with heterogeneous representations. Although it is modifiable to prevention and early treatment, there still lacks a reliable and accurate prognostic tool. Hence, we aim to develop a quantitative and self-administrable knee replacement (KR) risk stratification system for knee osteoarthritis (KOA) patients with clinical features. Method A total of 14 baseline features were extracted from 9592 cases in the Osteoarthritis Initiative (OAI) cohort. A survival model was constructed using the Random Survival Forests algorithm. The prediction performance was evaluated with the concordance index (C-index) and average receiver operating characteristic curve (AUC). A three-class KR risk stratification system was built to differentiate three distinct KR-free survival groups. Thereafter, Shapley Additive Explanations (SHAP) was introduced for model explanation. Results KR incidence was accurately predicted by the model with a C-index of 0.770 (±0.0215) and an average AUC of 0.807 (±0.0181) with 14 clinical features. Three distinct survival groups were observed from the ten-point KR risk stratification system with a four-year KR rate of 0.79%, 5.78%, and 16.2% from the low, medium, and high-risk groups respectively. KR is mainly caused by pain medication use, age, surgery history, diabetes, and a high body mass index, as revealed by SHAP. Conclusion A self-administrable and interpretable KR survival model was developed, underscoring a KR risk scoring system to stratify KOA patients. It will encourage regular self-assessments within the community and facilitate personalised healthcare for both primary and secondary prevention of KOA.
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Affiliation(s)
- H.H.T. Li
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong
- Department of Prosthetics and Orthotics, Tuen Mun Hospital, Hong Kong
| | - L.C. Chan
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong
| | - P.K. Chan
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong
| | - C. Wen
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong
- Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong
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11
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Abbasi M, Anzali BC, Mehryar HR. Liver enzymes as a predictor of mortality in patients with COVID-19? A cross-sectional study. Toxicol Rep 2024; 12:266-270. [PMID: 38433765 PMCID: PMC10906505 DOI: 10.1016/j.toxrep.2024.02.004] [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: 01/22/2024] [Revised: 02/14/2024] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
Liver injury in patients with COVID-19 infection may directly result from viral infection of liver cells, immune-mediated inflammation such as cytokine storm, and hypoxia resulting from pneumonia. Additionally, liver injury may occur due to drug toxicity and may lead to liver failure in critically ill COVID-19 patients. Given the significance of the liver and its vulnerability in COVID-19 patients, this study aimed to investigate the correlation of serum liver enzymes with the prognosis of hospitalized COVID-19 patients at Imam Khomeini Hospital in Urmia. This descriptive-analytical study involved hospitalized COVID-19 patients at Imam Khomeini Hospital in Urmia. Patient data were extracted from medical records and recorded in checklists, including demographic characteristics (age and gender), serum levels of Alanine Aminotransferase (ALT) and Aspartate Aminotransferase (AST), and patient outcomes (recovery and mortality). Subsequently, the serum levels of AST and ALT in recovered and discharged patients were compared with those of deceased patients. The mean AST level was higher in deceased patients compared to recovered and discharged patients, and this difference was statistically significant (P <0.033). Therefore, overall, higher AST levels in COVID-19 patients may indicate a worse prognosis. Similarly, the mean ALT level was higher in deceased patients compared to recovered and discharged patients, and this difference was statistically significant (P <0.015). Thus, higher ALT levels in COVID-19 patients may generally indicate a worse prognosis. Continuous monitoring of liver enzymes in patients with a poor prognosis can lead to early identification and, to the extent possible, prevention of complications and mortality through enhanced care.
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Affiliation(s)
- Mansour Abbasi
- Department of Medicine, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Babak Choobi Anzali
- Emergency Medicine, Department of Emergency Medicine, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Hamid Reza Mehryar
- Emergency Medicine, Department of Emergency Medicine, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran
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12
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Pingitore A, Zhang C, Vassalle C, Ferragina P, Landi P, Mastorci F, Sicari R, Tommasi A, Zavattari C, Prencipe G, Sîrbu A. Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease. Int J Cardiol 2024; 404:131981. [PMID: 38527629 DOI: 10.1016/j.ijcard.2024.131981] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/13/2024] [Accepted: 03/17/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Machine learning (ML) employs algorithms that learn from data, building models with the potential to predict events by aggregating a large number of variables and assessing their complex interactions. The aim of this study is to assess ML potential in identifying patients with ischemic heart disease (IHD) at high risk of cardiac death (CD). METHODS 3987 (mean age 68 ± 11) hospitalized IHD patients were enrolled. We implemented and compared various ML models and their combination into ensembles. Model output constitutes a new ML indicator to be employed for stratification. Primary variable importance was assessed with ablation tests. RESULTS An ensemble classifier combining three ML models achieved the best performance to predict CD (AUROC of 0.830, F1-macro of 0.726). ML indicator use through Cox survival analysis outperformed the 18 variables individually, producing a better stratification compared to standard multivariate analysis (improvement of ∼20%). Patients in the low risk group defined through ML indicator had a significantly higher survival (88.8% versus 29.1%). The main variables identified were Dyslipidemia, LVEF, Previous CABG, Diabetes, Previous Myocardial Infarction, Smoke, Documented resting or exertional ischemia, with an AUROC of 0.791 and an F1-score of 0.674, lower than that of 18 variables. Both code and clinical data are freely available with this article. CONCLUSION ML may allow a faster, low-cost and reliable evaluation of IHD patient prognosis by inclusion of more predictors and identification of those more significant, improving outcome prediction towards the development of precision medicine in this clinical field.
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Affiliation(s)
| | - Chenxiang Zhang
- Computer Science Department, University of Pisa, Pisa, Italy
| | | | - Paolo Ferragina
- Computer Science Department, University of Pisa, Pisa, Italy
| | | | | | - Rosa Sicari
- Clinical Physiology Institute, CNR, Pisa, Italy
| | | | | | | | - Alina Sîrbu
- Computer Science Department, University of Pisa, Pisa, Italy
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13
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Zheng L, He JJ, Zhao KX, Pan YF, Liu WX. Expression of overall survival-EMT-immune cell infiltration genes predict the prognosis of glioma. Noncoding RNA Res 2024; 9:407-420. [PMID: 38511063 PMCID: PMC10950607 DOI: 10.1016/j.ncrna.2024.02.003] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/22/2024] Open
Abstract
This study investigates the crucial role of immune- and epithelial-mesenchymal transition (EMT)-associated genes and non-coding RNAs in glioma development and diagnosis, given the challenging 5-year survival rates associated with this prevalent CNS malignant tumor. Clinical and RNA data from glioma patients were meticulously gathered from CGGA databases, and EMT-related genes were sourced from dbEMT2.0, while immune-related genes were obtained from MSigDB. Employing consensus clustering, novel molecular subgroups were identified. Subsequent analyses, including ESTIMATE, TIMER, and MCP counter, provided insights into the tumor microenvironment (TIME) and immune status. Functional studies, embracing GO, KEGG, GSVA, and GSEA analyses, unraveled the underlying mechanisms governing these molecular subgroups. Utilizing the LASSO algorithm and multivariate Cox regression, a prognostic risk model was crafted. The study unveiled two distinct molecular subgroups with significantly disparate survival outcomes. A more favorable prognosis was linked to low immune scores, high tumor purity, and an abundance of immune infiltrating cells with differential expression of non-coding RNAs, including miRNAs. Functional analyses illuminated enrichment of immune- and EMT-associated pathways in differentially expressed genes and non-coding RNAs between these subgroups. GSVA and GSEA analyses hinted at abnormal EMT status potentially contributing to glioma-associated immune disorders. The risk model, centered on OS-EMT-ICI genes, exhibited promise in accurately predicting survival in glioma. Additionally, a nomogram integrating the risk model with clinical characteristics demonstrated notable accuracy in prognostic predictions for glioma patients. In conclusion, OS-EMT-ICI gene and non-coding RNA expression emerges as a valuable indicator intricately linked to immune microenvironment dysregulation, offering a robust tool for precise prognosis prediction in glioma patients within the OBMRC framework.
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Affiliation(s)
- Lei Zheng
- Department of Breast Surgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Jin-jing He
- Department of Operating Room, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Kai-xiang Zhao
- Department of Thoracic Surgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Ya-fei Pan
- Department of Anesthesiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, 310000, PR China
| | - Wei-xian Liu
- Department of Neurosurgery, Zhejiang Hospital, Hangzhou, Zhejiang Province, 310000, PR China
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14
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Han L, Zhou H, Guo Z, Jiang C, Wang Z, Zhang H, Liu D. Exosomal lncRNA DUXAP8 affecting CHPF2 in the pathogenesis of intracranial aneurysms. Gene 2024; 908:148253. [PMID: 38341004 DOI: 10.1016/j.gene.2024.148253] [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: 11/02/2023] [Revised: 01/09/2024] [Accepted: 02/05/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVE This study endeavored to explore the relationship between exosome-derived lncRNA Double Homeobox A Pseudogene 8 (DUXAP8) and Chondroitin Polymerizing Factor 2 (CHPF2), and their roles in the pathogenesis of intracranial aneurysm (IA). METHODS The shared targeted molecules (DUXAP8 and CHPF2) were detected via GSE122897 and GSE75436 datasets. A total of 312 patients with IAs were incorporated into this study. Exosomes were isolated from serum samples, and their identity was confirmed using Western blotting for exosomal markers (CD9, CD63 and ALIX). Inflammatory responses in IA tissues were evaluated using Hematoxylin-Eosin staining. CHPF2 protein concentration and the expression levels of DUXAP8 and CHPF2 mRNA in exosomal samples were assessed using Immunochemistry (IHC), Western Blotting, and qRT-PCR, respectively. Cell-based assays involving Human Umbilical Vein Endothelial Cells (HuvECs), including transfection with exosomal DUXAP8, Western Blotting, qRT-PCR, and Cell Counting Kit-8, were conducted. Receiver Operating Characteristic (ROC) curves were derived using SPSS. RESULTS DUXAP8 level affects the level of CHPF2. DUXAP8 expression within exosomes was associated with increased CD9, CD63, ALIX and CHPF2 levels during IA development and inflammatory stress. In HuvECs, transfection with exosomes carrying DUXAP8 siRNA resulted in reduced CHPF2 expression, whereas DUXAP8 mimic increased CHPF2 concentrations. The Area Under the ROC Curve (AUC) for exosomal DUXAP8 expression and CHPF2 levels, and aneurysm size was 0.768 (95% CI, 0.613 to 0.924), 0.937 (95% CI, 0.853 to 1.000), and 0.943 (95% CI, 0.860, 1.000), respectively. CONCLUSION Exosome-derived DUXAP8 promotes IA progression by affecting CHPF2 expression.
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Affiliation(s)
- Liang Han
- Department of Pathology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - Haixia Zhou
- Department of VIP, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - Zhigang Guo
- Department of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - Chengwei Jiang
- Department of Pathology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - Zhengming Wang
- Department of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - Haiyang Zhang
- Department of Pathology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - Dehua Liu
- Department of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China.
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15
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Cai S, Haghbayan H, Chan KKW, Deva DP, Jimenez-Juan L, Connelly KA, Ng MY, Yan RT, Yan AT. Tissue mapping by cardiac magnetic resonance imaging for the prognostication of cardiac amyloidosis: A systematic review and meta-analysis. Int J Cardiol 2024; 403:131892. [PMID: 38382853 DOI: 10.1016/j.ijcard.2024.131892] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/05/2024] [Accepted: 02/18/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Cardiac amyloidosis is increasingly recognized as a significant contributor to cardiovascular morbidity and mortality. With the emergence of novel therapies, there is a growing interest in prognostication of patients with cardiac amyloidosis using cardiac magnetic resonance imaging (CMR). In this systematic review and meta-analysis, we aimed to examine the prognostic significance of myocardial native T1 and T2, and extracellular volume (ECV). METHODS Observational cohort studies or single arms of clinical trials were eligible. MEDLINE, EMBASE and CENTRAL were systematically searched from their respective dates of inception to January 2023. No exclusions were made based on date of publication, study outcomes, or study language. The study populations composed of adult patients (≥18 years old) with amyloid cardiomyopathy. All studies included the use of CMR with and without intravenous gadolinium contrast administration to assess myocardial native T1 mapping, T2 mapping, and ECV in association with the pre-specified primary outcome of all-cause mortality. Data were extracted from eligible primary studies by two independent reviewers and pooled via the inverse variance method using random effects models for meta-analysis. RESULTS A total of 3852 citations were reviewed. A final nine studies including a total of 955 patients (mean age 65 ± 10 years old, 32% female, mean left ventricular ejection fraction (LVEF) 59 ± 12% and 24% had NYHA class III or IV symptoms) with cardiac amyloidosis [light chain amyloidosis (AL) 50%, transthyretin amyloidosis (ATTR) 49%, other 1%] were eligible for inclusion and suitable for data extraction. All included studies were single centered (seven with 1.5 T MRI scanners, two with 3.0 T MRI scanners) and non-randomized in design, with follow-up spanning from 8 to 64 months (median follow-up = 25 months); 320 patients died during follow-up, rendering a weighted mortality rate of 33% across studies. Compared with patients with AL amyloid, patients with ATTR amyloid had significantly higher mean left ventricular mass index (LVMi) (102 ± 34 g/m2 vs 127 ± 37 g/m2, p = 0.02). N-terminal pro-brain natriuretic peptide (NT-proBNP), troponin T levels, mean native T1 values, ECV and T2 values did not differ between patients with ATTR amyloid and AL amyloid (all p > 0.25). Overall, the hazard ratios for mortality were 1.33 (95% CI = [1.10, 1.60]; p = 0.003; I2 = 29%) for every 60 ms higher T1 time, 1.16 (95% CI = [1.09, 1.23], p < 0.0001; I2 = 76%) for every 3% higher ECV, and 5.23 (95% CI = [2.27, 12.02]; p < 0.0001; I2 = 0%) for myocardial-to-skeletal T2 ratio below the mean (vs above the mean). CONCLUSION Higher native T1 time and ECV, and lower myocardial to skeletal T2 ratio, on CMR are associated with worse mortality in patients with cardiac amyloidosis. Therefore, tissue mapping using CMR may offer a useful non-invasive technique to monitor disease progression and determine prognosis in patients with cardiac amyloidosis.
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Affiliation(s)
- Sean Cai
- Department of Medicine, University of Toronto, Toronto, Canada
| | | | - Kelvin K W Chan
- Department of Medicine, University of Toronto, Toronto, Canada; Department of Medical Oncology, Sunnybrook Hospital, Toronto, Canada
| | - Djeven P Deva
- Department of Medical Imaging, University of Toronto, Toronto, Canada; Keenan Research Centre, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada; Department of Medical Imaging, St. Michael's Hospital, Toronto, Canada
| | - Laura Jimenez-Juan
- Department of Medical Imaging, University of Toronto, Toronto, Canada; Department of Medical Imaging, St. Michael's Hospital, Toronto, Canada
| | - Kim A Connelly
- Department of Medicine, University of Toronto, Toronto, Canada; Keenan Research Centre, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada; Terrence Donnelly Heart Centre, Division of Cardiology, St. Michael's Hospital, Toronto, Canada
| | - Ming-Yen Ng
- Department of Diagnostic Radiology, The University of Hong Kong, HKU-Shenzhen Hospital, China
| | - Raymond T Yan
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Andrew T Yan
- Department of Medicine, University of Toronto, Toronto, Canada; Department of Medical Imaging, University of Toronto, Toronto, Canada; Department of Medical Imaging, St. Michael's Hospital, Toronto, Canada; Terrence Donnelly Heart Centre, Division of Cardiology, St. Michael's Hospital, Toronto, Canada.
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16
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Wang Y, Xiong G, Cai W, Tao Q. METTL1 facilitates ameloblastoma invasive growth via MAPK signaling pathway. Gene 2024; 905:148234. [PMID: 38309318 DOI: 10.1016/j.gene.2024.148234] [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: 10/01/2023] [Revised: 12/18/2023] [Accepted: 01/29/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVES Ameloblastoma (AM), a common odontogenic epithelial tumor, exhibits aggressive growth due to incomplete encapsulation within the jawbone. Postoperative recurrence is a significant concern, closely associated with its invasive nature. We investigate the role of tRNA N-7 methylguanosine (m7G) modification mediated by Methyltransferase-like 1 (METTL1) in AM's invasive growth and prognosis. MATERIALS AND METHODS METTL1 expression was analyzed in diverse cell lines and clinical AM tissues. Its association with postoperative AM recurrence was examined. Functional experiments included METTL1 gene silencing using shRNA in hTERT-AM cells, assessing cell proliferation, migration, and invasion. Xenograft tumor model was constructed to investigate tumor growth. Molecular mechanisms behind METTL1's role in AM invasiveness were elucidated using Ribosome nascent-chain complex-bound mRNA sequencing (RNC-seq) and experimental analysis. RESULTS High METTL1 expression was significantly associated with postoperative recurrence in AM. The inhibition of AM development following METTL1 knockdown has been corroborated by experiments conducted both in vitro and in vivo. Analysis of RNC-seq data revealed that downregulated genes were predominantly enriched in the mitogen-activated protein kinase (MAPK) signaling pathway, suggesting that METTL1 may promote AM's invasive growth through the MAPK signaling pathway. CONCLUSION Our study elucidates the functional role of METTL1 in AM's invasive development and prognosis. High METTL1 expression is linked to postoperative recurrence, and METTL1 appears to promote AM invasiveness through the MAPK signaling pathway. These findings contribute to a better understanding of AM pathogenesis and may guide future therapeutic strategies.
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Affiliation(s)
- Yue Wang
- Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - Gan Xiong
- Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - Weixin Cai
- Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - Qian Tao
- Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China; Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China.
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17
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Zhang K, Qu C, Zhou P, Yang Z, Wu X. Integrative analysis of the cuproptosis-related gene ATP7B in the prognosis and immune infiltration of IDH1 wild-type glioma. Gene 2024; 905:148220. [PMID: 38286269 DOI: 10.1016/j.gene.2024.148220] [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: 12/15/2023] [Revised: 01/18/2024] [Accepted: 01/26/2024] [Indexed: 01/31/2024]
Abstract
Glioma is the most common malignant tumor in the brain and the central nervous system with a poor prognosis, and wild-type isocitrate dehydrogenase (IDH) glioma indicates a worse prognosis. Cuproptosis is a recently discovered form of cell death regulated by copper-dependent mitochondrial respiration. However, the effect of cuproptosis on tumor prognosis and immune infiltration is not clear. In this research, we analyzed of public databases to show the correlation between cuproptosis-related genes and the prognosis of IDH1 wild-type glioma. Nine out of 12 genes were upregulated in IDH1 wild-type glioma patients, and 6 genes were significantly associated with overall survival (OS), while 5 genes were associated with progression-free survival (PFS). Then, we constructed a prognostic cuproptosis-related gene signature for IDH1 wild-type glioma patients. ATP7B was considered an independent prognostic indicator, and a low expression level of ATP7B was related to a shorter period of OS and PFS. Moreover, downregulation of ATP7B was correlated not only with the infiltration of activated NK cells, CD8 + T cells and M2 macrophages; but also with high expression of immune checkpoint genes and tumor mutation burden (TMB). In the IDH1 wild-type glioma tissues we collected, our data also confirmed that high tumor grade was accompanied by low expression of ATP7B and high expression of PD-L1, which was associated with increasing infiltration of CD8 + immune cells. In conclusion, our research constructed a prognostic cuproptosis-related gene signature model to predict the prognosis of IDH1 wild-type glioma. ATP7B is deemed to be a potential prognostic indicator and novel immunotherapy biomarker for IDH1 wild-type glioma patients.
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Affiliation(s)
- Kun Zhang
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha 410011, China; Department of Oncology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Chunhui Qu
- Cancer Research Institute, School of Basic Medicine Science, Central South University, Changsha 410078, China
| | - Peijun Zhou
- Cancer Research Institute, School of Basic Medicine Science, Central South University, Changsha 410078, China
| | - Zezi Yang
- School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China
| | - Xia Wu
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha 410011, China; Human Clinical Medical Research Center for Cancer Pathogenic Genes Testing and Diagnosis, Changsha, 410011, China.
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18
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Qiu H, Jiang B, Chen Y, Lin Z, Zheng W, Cao X. Featured lncRNA-based signature for discriminating prognosis and progression of hepatocellular carcinoma. J Appl Genet 2024; 65:355-366. [PMID: 38347289 DOI: 10.1007/s13353-024-00836-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/16/2024] [Accepted: 01/20/2024] [Indexed: 02/20/2024]
Abstract
Long non-coding RNAs (lncRNAs) have been implicated in carcinogenesis and progression of hepatocellular carcinoma (HCC). This study aimed to identify a robust lncRNA signature for predicting the survival of HCC patients. We performed an integrated analysis of the lncRNA expression profiling in The Cancer Genome Atlas (TCGA)-liver hepatocellular carcinoma database to identify the prognosis-related lncRNA for the HCC. The HCC cohort was randomly divided into a training set (n = 250) and a testing set (n = 113). Following a two-step screening, we identified an 18-lncRNA signature risk score. The high-risk subgroups had significantly shorter survival time than the low-risk group in both the training set (P < 0.0001) and the testing set (P = 0.005). Stratification analysis revealed that the prognostic value of the lncRNA-based signature was independent of the tumor stage and pathologic stage. The area under the receiver operating characteristic curve (AUROC) of the 18-lncRNA signature risk score was 0.826 (95%CI, 0.764-0.888), 0.817 (95%CI, 0.759-0.876), and 0.799 (95%CI, 0.731-0.867) for 1-year, 3-year, and 5-year follow-up, respectively. Bioinformatics analyses indicated that the 18 lncRNA might mediate cell cycle, DNA replication processes, and canonical cancer-related pathways, in which MCM3AP-AS1 was a potential target for HCC. In conclusion, the 18-lncRNA signature was a robust predictive biomarker for the prognosis and progression of HCC.
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Affiliation(s)
- Huiyuan Qiu
- Medical School of Nantong University, Nantong, 226001, China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Bo Jiang
- Department of Gastroenterology, Suqian First People's Hospital, Suqian, Jiangsu, China
| | - Yinqi Chen
- Medical School of Nantong University, Nantong, 226001, China
| | - Zhaoyi Lin
- Medical School of Nantong University, Nantong, 226001, China
| | - Wenjie Zheng
- Medical School of Nantong University, Nantong, 226001, China.
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
| | - Xiaolei Cao
- Medical School of Nantong University, Nantong, 226001, China.
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Rong C, Liang C, Shen J, Zhang Y, Wang Q, Yang F, Chen Y, Luo Y, Gu M, Gao P, Xia Y, Duan S. CLLU1 as an emerging biomarker in chronic lymphoid leukemia. Hum Cell 2024; 37:625-632. [PMID: 38507118 DOI: 10.1007/s13577-024-01051-4] [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: 11/18/2023] [Accepted: 02/26/2024] [Indexed: 03/22/2024]
Abstract
CLLU1, a disease-specific gene associated with chronic lymphoid leukemia (CLL), is located on chromosome 12q22. Previous studies considered CLLU1 to be a non-coding RNA; however, recent research has discovered that its coding sequence region possesses the potential to encode a short peptide similar to interleukin-4. Remarkably, abnormally elevated expression of CLLU1 has only been detected in chronic lymphoid leukemia among all hematological cancers. High CLLU1 expression often indicates more malignant pathological features and an unfavorable prognosis for patients. Importantly, the expression level of CLLU1 remains unaffected by the passage of time or therapeutic interventions, thus rendering it a novel prognostic marker. This article provides a comprehensive summary of relevant research findings on CLLU1 in the context of CLL prognosis and clinical applications, aiming to guide subsequent theoretical and clinical investigations in this field.
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MESH Headings
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy
- Neoplasm Proteins/genetics
- RNA, Long Noncoding/genetics
- Biomarkers, Tumor/genetics
- Genes, Neoplasm
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Affiliation(s)
- Chunmeng Rong
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China
| | - Chenhao Liang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Jinze Shen
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Yuhua Zhang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Qurui Wang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Fang Yang
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China
| | - Yalu Chen
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China
| | - Yuqing Luo
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China
| | - Meier Gu
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China
| | - Panpan Gao
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China
| | - Yongming Xia
- Department of Hematology, Yuyao People's Hospital of Zhejiang Province, Ningbo, Zhejiang, China.
| | - Shiwei Duan
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China.
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Chen QF, Hu J, Hu J, Nijjar PS, Xu J, Shi S, Liang D, Liao H, Gao J, Lin WH, You S, Zhou XD. Clinical characteristics and prognosis of patients with hypertrophic cardiomyopathy and heart failure with preserved ejection fraction. Clin Res Cardiol 2024; 113:761-769. [PMID: 38197895 DOI: 10.1007/s00392-023-02371-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 12/30/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND Whether heart failure with preserved ejection fraction (HFpEF) is associated with an increased risk of developing systolic dysfunction and a poor prognosis in hypertrophic cardiomyopathy (HCM) patients is unknown. OBJECTIVE We aimed to assess risk factors for the development of end-stage (ES) heart failure (HF) (ejection fraction < 50%) and compare the prognosis of different HF phenotypes. METHODS This retrospective study was conducted on patients with HCM in China between January 2009 and February 2023. Patients were stratified into three different groups: HCM-non-HF, HCM-HFpEF and HCM-heart failure with reduced ejection fraction (HCM-HFrEF). The primary outcome was a composite of major adverse cardiac events (MACEs), including all-cause deaths, HF hospitalization, sudden cardiac death and ventricular tachycardia. RESULTS Of 3,620 HCM patients enrolled, 1,553 (42.9%) had non-HF, 1,666 (46.0%) had HFpEF, and 579 patients (11.1%) had HFrEF at baseline. During the median follow-up period of 4.0 years (IQR 1.4-9.4 years), patients with HCM-HFpEF exhibited a higher incidence of ES-HF than those with HCM-non-HF (12.4% vs. 2.7%, P < 0.001). HFpEF was an independent risk factor for ES-HF development (HR 3.84, 2.54-5.80, P < 0.001). MACEs occurred in 26.9% with a higher incidence in HCM-HFpEF than HCM-non-HF (36.6% vs 12.2%, P < 0.001). HFpEF was an independent predictor of MACEs (HR 2.13, 1.75-2.59, P < 0.001). CONCLUSIONS HFpEF is common in HCM. Compared to non-HF, it increases the risk of LVEF decline and poor prognosis. It may aid in risk stratification and need close echocardiography follow-up.
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Affiliation(s)
- Qin-Fen Chen
- Medical Care Center, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Wenzhou, 325100, China
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Wenzhou Medical University, Wenzhou, 325000, China
| | - Jiandong Hu
- Department of Information, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Jie Hu
- Department of Cardiovascular Medicine, The Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Prabhjot S Nijjar
- Division of Cardiovascular Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jiahui Xu
- Department of Cardiovascular Medicine, The Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Shanzhen Shi
- Department of Cardiovascular Medicine, The Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Dongjie Liang
- Department of Cardiovascular Medicine, The Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Hetong Liao
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Wenzhou Medical University, Wenzhou, 325000, China
| | - Jiaqi Gao
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Wenzhou Medical University, Wenzhou, 325000, China
| | - Wei-Hong Lin
- Medical Care Center, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang, Wenzhou, 325100, China
| | - Shenban You
- Department of Cardiovascular Medicine, The Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Xiao-Dong Zhou
- Department of Cardiovascular Medicine, The Heart Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
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Qiu Z, Yuan X, Wang X, Liu S. Crosstalk between m6A modification and non-coding RNAs in HCC. Cell Signal 2024; 117:111076. [PMID: 38309550 DOI: 10.1016/j.cellsig.2024.111076] [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: 10/28/2023] [Revised: 01/28/2024] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide, with high morbidity and occurrence. Although various therapeutic approaches have been rapidly developed in recent years, the underlying molecular mechanisms in the pathogenesis of HCC remain enigmatic. The N6-methyladenosine (m6A) RNA modification is believed to regulate RNA metabolism and further gene expression. This process is intricately regulated by multiple regulators, such as methylases and demethylases. Non-coding RNAs (ncRNAs) are involved in the regulation of the epigenetic modification, mRNA transcription and other biological processes, exhibiting crucial roles in tumor occurrence and development. The m6A-ncRNA interaction has been implicated in the malignant phenotypes of HCC and plays an important role in drug resistance. This review summarizes the effect of m6A-ncRNA crosstalk on HCC progression and their clinical implications as prognostic markers and therapeutic targets in this disease.
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Affiliation(s)
- Zitong Qiu
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang 150040, PR China
| | - Xingxing Yuan
- Department of Gastroenterology, Heilongjiang Academy of Traditional Chinese Medicine, Harbin, Heilongjiang 150006, PR China
| | - Xinyue Wang
- International Education College, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang 150040, PR China
| | - Songjiang Liu
- Department of Oncology, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang 150040, PR China.
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Abstract
Physiatrists play a vital role in post-stroke dysphagia management not only by providing guidance on the risks, benefits, and efficacy of various treatment options but also as advocates for patients' independence and quality of life. While swallow study results are often discussed broadly by acute stroke clinicians as "pass/fail" findings, physiatrists need a more nuanced working knowledge of dysphagia diagnosis and treatment that encompasses swallow pathophysiology, targeted treatment strategies, and prognosis for recovery. To that end, this review summarizes current clinical practice guidelines on dysphagia, nutrition and oral care, risks and benefits of differing enteral access routes, prognostic factors, and approaches to rehabilitation.
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Affiliation(s)
- Robynne G Braun
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland Rehabilitation and Orthopedic Institute, Baltimore, MD, USA; Brain Rehab and Recovery Lab, University of Maryland School of Medicine, Bressler Research Building, Suite 12-019, 655 West Baltimore Street, Baltimore, MD 21201, USA.
| | - Jodi Arata
- Rehabilitation Research Lab, University of Maryland Rehabilitation and Orthopedic Institute, 2200 Kernan Drive, Baltimore, MD 21207, USA
| | - Marlis Gonzalez-Fernandez
- Department of PM&R, Johns Hopkins University School of Medicine, 600 North Wolf Street, Phipps 184, Baltimore, MD 21287, USA; Outpatient PM&R Clinics, Johns Hopkins Hospital, 600 North Wolfe Street Phipps 174, Baltimore, MD 21287, USA
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23
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Lee KP, Huang HC, Tsai JY, Hsu LC. Statin treatment in stroke patient with low-density lipoprotein cholesterol levels below 70 mg/dL. J Stroke Cerebrovasc Dis 2024; 33:107645. [PMID: 38395098 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107645] [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: 12/16/2023] [Revised: 01/08/2024] [Accepted: 02/20/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND AND PURPOSE The effectiveness of hyperlipidemia treatment in strokes secondary prevention has been established. However, whether pretreatment with statins could confer protective effects when a patient's baseline low-density lipoprotein cholesterol (LDL-C) level is <70 mg/dL remains uncertain. Additionally, the ability of statin treatment to reduce poststroke complications, mortality, and recurrence in this patient group is unclear. METHODS AND RESULTS In this retrospective observational study, we enrolled patients who had experienced an ischemic stroke with LDL-C levels <70 mg/dL. We analyzed the association of statin use with baseline characteristics, stroke severity, in-hospital complications, mortality rates, stroke recurrence rate, and mortality rate. Patients who used and patients who did not use statins were similar in terms of age and sex. Patients using statins had higher rates of diabetes mellitus, hypertension, prior stroke, and coronary artery disease but a lower incidence of atrial fibrillation. Stroke severity was less pronounced in those using statins. We also evaluated the relationship between in-hospital statin use and complications. We noted that in-hospital statin use was associated with lower rates of infection, hemorrhagic transformation, gastrointestinal hemorrhage, and mortality, as well as higher rates of positive functional outcomes. The 1-year recurrence rate was similar in both groups. CONCLUSIONS Statin use is associated with milder strokes and improved poststroke outcomes, even in patients with well-controlled LDL levels. Neurologists may consider prescribing statins for patients with ischemic stroke who do not overt hyperlipidemia. Further research into potential underlying mechanisms is warranted.
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Affiliation(s)
- Kang-Po Lee
- Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan; Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Hui-Chi Huang
- Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jui-Yao Tsai
- Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Li-Chi Hsu
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Ye W, Li H, Zhao J, Lu D, Tao T, Zhu X. Graphene therapy-related lncRNAs as prognostic and immune microenvironmental biomarkers in hepatocellular carcinoma. Transl Oncol 2024; 43:101915. [PMID: 38368713 PMCID: PMC10884496 DOI: 10.1016/j.tranon.2024.101915] [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: 08/17/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 02/20/2024] Open
Abstract
BACKGROUND Graphene materials have the capacity to influence the tumor microenvironment and intracellular signaling responsiveness. However, the process of graphene-assisted liver cancer treatment still lacks specific biomarkers for assessing its efficacy. METHODS We identified graphene therapy-related lncRNAs (GTLncRNAs) through gene analysis and correlation tests. Multivariate COX and LASSO regression analyses yielded significant lncRNAs for a risk score model. We evaluated clinicopathological factors and tumor microenvironment using ssGSEA. We scrutinized the pathways of immune function, the evasion of tumor immunity, and the potential for immunotherapy. GTLncRNAs with differential expression were subjected to GO/KEGG analysis, and prospective chemotherapy drugs were discerned utilizing the pRRophetic algorithm. The prognostic model was authenticated through the examination of the Imvigor210 cohort, and an analysis of mRNA stemness was executed. RESULTS The researchers constructed a prognostic model based on 22 graphene therapy-related lncRNAs. Protective lncRNAs (AC010280.2, AL365361.1, and LINC01549) and negative lncRNAs (AC026412.3, AL031985.3, ELFN1-AS1, SNHG4, and EB2-AS1) were identified. Higher risk scores correlated with shorter survival. Low-risk immune pathways included Type_II_IFN_Reponse and cytolytic_activity. Subgroups differed significantly in TMB, TIDE, MDSC, exclusion, and dysfunction. Low TMB values correlated with longer survival. The high-risk subgroup showed increased sensitivity to screened compounds, and mRNAsi was higher in cancer tissue. CONCLUSIONS Our GTLncRNAs-based model accurately predicted survival of HCC patients and underscored the influence of graphene therapy-related genes on the tumor microenvironment. Potential treatment compounds were identified, and the mRNAsi index demonstrated prognostic value.
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Affiliation(s)
- Weilong Ye
- Computational Medicine and Epidemiology Laboratory (CMEL), The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, PR China
| | - Hui Li
- Department of Internal Medicine, Huadu District People's Hospital of Guangzhou (The Third School of Clinical Medicine, Southern Medical University), PR China
| | - Juan Zhao
- Department of the Clinical Laboratory, Huadu District People's Hospital of Guangzhou (The Third School of Clinical Medicine, Southern Medical University), PR China
| | - Deshuai Lu
- Computational Medicine and Epidemiology Laboratory (CMEL), The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, PR China
| | - Tao Tao
- Department of Gastroenterology, Zibo Central Hospital, Zibo, PR China.
| | - Xiao Zhu
- Computational Medicine and Epidemiology Laboratory (CMEL), The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, PR China.
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Matsumoto M, Onda S, Igarashi Y, Hamura R, Uwagawa T, Furukawa K, Shirai Y, Gocho T, Haruki K, Ikegami T. Osteosarcopenia is a significant predictor of recurrence and the prognosis after resection for extrahepatic bile duct cancer. Surg Today 2024; 54:407-418. [PMID: 37700170 DOI: 10.1007/s00595-023-02747-0] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/06/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE This study examined the impact of osteosarcopenia on recurrence and the prognosis after resection for extrahepatic biliary tract cancer (EBTC). METHODS We retrospectively analyzed 138 patients after resection for perihilar cholangiocarcinoma (11), distal cholangiocarcinoma (54), gallbladder carcinoma (30), or ampullary carcinoma (43). Osteosarcopenia is defined as the concomitant occurrence of osteopenia and sarcopenia. We investigated the relationship between osteosarcopenia and the overall survival (OS) and disease-free survival (DFS) in univariate and multivariate analyses. RESULTS Osteosarcopenia was identified in 38 patients (27.5%) before propensity score (PS) matching. In the multivariate analysis, the independent recurrence factors were the prognostic nutrition index (p = 0.015), osteosarcopenia (p < 0.001), poorly differentiated adenocarcinoma (p = 0.004), perineural invasion (p = 0.002), and non-curability (p = 0.008), whereas the independent prognostic factors were prognostic nutrition index (p = 0.030), osteosarcopenia (p < 0.001), poorly differentiated adenocarcinoma (p = 0.007), lymphatic invasion (p = 0.018), and non-curability (p = 0.004). After PS matching, there was no significant difference in the variables between the patients with and without osteosarcopenia (n = 34 each). The 5-year DFS and OS after PS matching in patients with osteosarcopenia were significantly worse than in patients without osteosarcopenia (17.6% vs. 38.8%, p = 0.013 and 20.6% vs. 57.4%, p = 0.0005, respectively). CONCLUSIONS Preoperative osteosarcopenia could predict the DFS and OS of patients after resection for EBTC.
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Affiliation(s)
- Michinori Matsumoto
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Shinji Onda
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Yosuke Igarashi
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Ryoga Hamura
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Tadashi Uwagawa
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Kenei Furukawa
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Yoshihiro Shirai
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Takeshi Gocho
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Koichiro Haruki
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan.
| | - Toru Ikegami
- Department of Surgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo, 105-8461, Japan
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Bird A, Oakden-Rayner L, Smith LA, Zeng M, Ray S, Proudman S, Palmer LJ. Prognostic modeling in early rheumatoid arthritis: reconsidering the predictive role of disease activity scores. Clin Rheumatol 2024; 43:1503-1512. [PMID: 38536518 PMCID: PMC11018671 DOI: 10.1007/s10067-024-06946-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] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/23/2024] [Accepted: 03/20/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVE In this prospective cohort study, we provide several prognostic models to predict functional status as measured by the modified Health Assessment Questionnaire (mHAQ). The early adoption of the treat-to-target strategy in this cohort offered a unique opportunity to identify predictive factors using longitudinal data across 20 years. METHODS A cohort of 397 patients with early RA was used to develop statistical models to predict mHAQ score measured at baseline, 12 months, and 18 months post diagnosis, as well as serially measured mHAQ. Demographic data, clinical measures, autoantibodies, medication use, comorbid conditions, and baseline mHAQ were considered as predictors. RESULTS The discriminative performance of models was comparable to previous work, with an area under the receiver operator curve ranging from 0.64 to 0.88. The most consistent predictive variable was baseline mHAQ. Patient-reported outcomes including early morning stiffness, tender joint count (TJC), fatigue, pain, and patient global assessment were positively predictive of a higher mHAQ at baseline and longitudinally, as was the physician global assessment and C-reactive protein. When considering future function, a higher TJC predicted persistent disability while a higher swollen joint count predicted functional improvements with treatment. CONCLUSION In our study of mHAQ prediction in RA patients receiving treat-to-target therapy, patient-reported outcomes were most consistently predictive of function. Patients with high disease activity due predominantly to tenderness scores rather than swelling may benefit from less aggressive treatment escalation and an emphasis on non-pharmacological therapies, allowing for a more personalized approach to treatment. Key Points • Long-term use of the treat-to-target strategy in this patient cohort offers a unique opportunity to develop prognostic models for functional outcomes using extensive longitudinal data. • Patient reported outcomes were more consistent predictors of function than traditional prognostic markers. • Tender joint count and swollen joint count had discordant relationships with future function, adding weight to the possibility that disease activity may better guide treatment when the components are considered separately.
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Affiliation(s)
- Alix Bird
- Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA, 5000, Australia.
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia.
| | - Lauren Oakden-Rayner
- Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA, 5000, Australia
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
| | - Luke A Smith
- Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA, 5000, Australia
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
| | - Minyan Zeng
- Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA, 5000, Australia
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
| | - Shonket Ray
- Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA, 5000, Australia
- Artificial Intelligence and Machine Learning, GSK Plc, South San Francisco, CA, USA
| | - Susanna Proudman
- Department of Rheumatology, Royal Adelaide Hospital, Adelaide, SA, 5000, Australia
| | - Lyle J Palmer
- Australian Institute of Machine Learning, University of Adelaide, Corner Frome Road and North Terrace, Adelaide, SA, 5000, Australia
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
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Yang TH, Su YY, Tsai CL, Lin KH, Lin WY, Sung SF. Magnetic resonance imaging-based deep learning imaging biomarker for predicting functional outcomes after acute ischemic stroke. Eur J Radiol 2024; 174:111405. [PMID: 38447430 DOI: 10.1016/j.ejrad.2024.111405] [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: 12/22/2023] [Revised: 02/05/2024] [Accepted: 03/01/2024] [Indexed: 03/08/2024]
Abstract
PURPOSE Clinical risk scores are essential for predicting outcomes in stroke patients. The advancements in deep learning (DL) techniques provide opportunities to develop prediction applications using magnetic resonance (MR) images. We aimed to develop an MR-based DL imaging biomarker for predicting outcomes in acute ischemic stroke (AIS) and evaluate its additional benefit to current risk scores. METHOD This study included 3338 AIS patients. We trained a DL model using deep neural network architectures on MR images and radiomics to predict poor functional outcomes at three months post-stroke. The DL model generated a DL score, which served as the DL imaging biomarker. We compared the predictive performance of this biomarker to five risk scores on a holdout test set. Additionally, we assessed whether incorporating the imaging biomarker into the risk scores improved the predictive performance. RESULTS The DL imaging biomarker achieved an area under the receiver operating characteristic curve (AUC) of 0.788. The AUCs of the five studied risk scores were 0.789, 0.793, 0.804, 0.810, and 0.826, respectively. The imaging biomarker's predictive performance was comparable to four of the risk scores but inferior to one (p = 0.038). Adding the imaging biomarker to the risk scores improved the AUCs (p-values) to 0.831 (0.003), 0.825 (0.001), 0.834 (0.003), 0.836 (0.003), and 0.839 (0.177), respectively. The net reclassification improvement and integrated discrimination improvement indices also showed significant improvements (all p < 0.001). CONCLUSIONS Using DL techniques to create an MR-based imaging biomarker is feasible and enhances the predictive ability of current risk scores.
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Affiliation(s)
- Tzu-Hsien Yang
- Department of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Ying-Ying Su
- Department of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Chia-Ling Tsai
- Computer Science Department, Queens College, City University of New York, Flushing, NY, USA
| | - Kai-Hsuan Lin
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan
| | - Wei-Yang Lin
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan; Advanced Institute of Manufacturing with High-Tech Innovations, National Chung Cheng University, Chiayi, Taiwan.
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan; Department of Beauty & Health Care, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan.
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Zhang N, He J, Maithel SK, Poultsides G, Rocha F, Weber S, Fields R, Idrees K, Cho C, Lv Y, Zhang XF, Pawlik TM. Accuracy and Prognostic Impact of Nodal Status on Preoperative Imaging for Management of Pancreatic Neuroendocrine Tumors: A Multi-Institutional Study. Ann Surg Oncol 2024; 31:2882-2891. [PMID: 38097878 DOI: 10.1245/s10434-023-14758-9] [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: 07/19/2023] [Accepted: 11/25/2023] [Indexed: 04/10/2024]
Abstract
BACKGROUND We sought to define the accuracy of preoperative imaging to detect lymph node metastasis (LNM) among patients with pancreatic neuroendocrine tumors (pNETs), as well as characterize the impact of preoperative imaging nodal status on survival. METHODS Patients who underwent curative-intent resection for pNETs between 2000 and 2020 were identified from eight centers. Sensitivity and specificity of computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET)-CT, and OctreoScan for LNM were evaluated. The impact of preoperative lymph node status on lymphadenectomy (LND), as well as overall and recurrence-free survival was defined. RESULTS Among 852 patients, 235 (27.6%) individuals had LNM on final histologic examination (hN1). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 12.4%, 98.1%, 71.8%, and 74.4% for CT, 6.3%, 100%, 100%, and 80.1% for MRI, 9.5%, 100%, 100%, and 58.7% for PET, 11.3%, 97.5%, 66.7%, and 70.8% for OctreoScan, respectively. Among patients with any combination of these imaging modalities, overall sensitivity, specificity, PPV, and NPV was 14.9%, 97.9%, 72.9%, and 75.1%, respectively. Preoperative N1 on imaging (iN1) was associated with a higher number of LND (iN1 13 vs. iN0 9, p = 0.003) and a higher frequency of final hN1 versus preoperative iN0 (iN1 72.9% vs. iN0 24.9%, p < 0.001). Preoperative iN1 was associated with a higher risk of recurrence versus preoperative iN0 (median recurrence-free survival, iN1→hN1 47.5 vs. iN0→hN1 92.7 months, p = 0.05). CONCLUSIONS Only 4% of patients with LNM on final pathologic examine had preoperative imaging that was suspicious for LNM. Traditional imaging modalities had low sensitivity to determine nodal status among patients with pNETs.
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Affiliation(s)
- Nan Zhang
- Department of Hepatobiliary Surgery, Institute of Advanced Surgical Technology and Engineering, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jin He
- Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Shishir K Maithel
- Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | | | - Flavio Rocha
- Department of Surgery, Oregon Health and Science University, Portland, OR, USA
| | - Sharon Weber
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Ryan Fields
- Department of Surgery, Washington University School of Medicine, St. Louis, WI, USA
| | - Kamran Idrees
- Division of Surgical Oncology, Department of Surgery, Vanderbilt University, Nashville, TN, USA
| | - Cliff Cho
- Division of Hepatopancreatobiliary and Advanced Gastrointestinal Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Yi Lv
- Department of Hepatobiliary Surgery, Institute of Advanced Surgical Technology and Engineering, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xu-Feng Zhang
- Department of Hepatobiliary Surgery, Institute of Advanced Surgical Technology and Engineering, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
- Division of Surgical Oncology, Department of Surgery, The Urban Meyer III and Shelley Meyer Chair for Cancer Research, James Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| | - Timothy M Pawlik
- Division of Surgical Oncology, Department of Surgery, The Urban Meyer III and Shelley Meyer Chair for Cancer Research, James Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
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Erdem S, Bertolo R, Campi R, Capitanio U, Amparore D, Anceschi U, Mir MC, Roussel E, Pavan N, Carbonara U, Kara O, Klatte T, Marchioni M, Pecoraro A, Muselaers S, Marandino L, Diana P, Borregales L, Palumbo C, Warren H, Wu Z, Calio A, Ciccarese C, Degirmenci E, Aydin R, Rebez G, Schips L, Simone G, Minervini A, Serni S, Ozcan F. The prognostic role of histomorphological subtyping in nonmetastatic papillary renal cell carcinoma after curative surgery: is subtype really irrelevant? A propensity score matching analysis of a multi-institutional real life data. Urol Oncol 2024; 42:163.e1-163.e13. [PMID: 38443238 DOI: 10.1016/j.urolonc.2024.01.028] [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: 09/02/2023] [Revised: 12/10/2023] [Accepted: 01/25/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND AND AIM The role of histomorphological subtyping is an issue of debate in papillary renal cell carcinoma (papRCC). This multi-institutional study investigated the prognostic role of histomorphological subtyping in patients undergoing curative surgery for nonmetastatic papRCC. PATIENTS AND METHODS A total of 1,086 patients undergoing curative surgery were included from a retrospectively collected multi-institutional nonmetastatic papRCC database. The patients were divided into 2 groups based on histomorphological subtyping (type 1, n = 669 and type 2, n = 417). Furthermore, a propensity score-matching (PSM) cohort in 1:1 ratio (n = 317 for each subtype) was created to reduce the effect of potential confounding variables. The primary outcome of the study, the predictive role of histomorphological subtyping on the prognosis (recurrence free survival [RFS], cancer specific survival [CSS] and overall survival [OS]) in nonmetastatic papRCC after curative surgery, was investigated in both overall and PSM cohorts. RESULTS In overall cohort, type 2 group were older (66 vs. 63 years, P = 0.015) and more frequently underwent radical nephrectomy (37.4% vs. 25.6%, P < 0.001) and lymphadenectomy (22.3% vs. 15.1%, P = 0.003). Tumor size (4.5 vs. 3.8 cm, P < 0.001) was greater, and nuclear grade (P < 0.001), pT stage (P < 0.001), pN stage (P < 0.001), VENUSS score (P < 0.001) and VENUSS high risk (P < 0.001) were significantly higher in type 2 group. 5-year RFS (89.6% vs. 74.2%, P < 0.001), CSS (93.9% vs. 84.2%, P < 0.001) and OS (88.5% vs. 78.5%, P < 0.001) were significantly lower in type 2 group. On multivariable analyses, type 2 was a significant predictor for RFS (HR:1.86 [95%CI:1.33-2.61], P < 0.001) and CSS (HR:1.91 [95%CI:1.20-3.04], P = 0.006), but not for OS (HR:1.27 [95%CI:0.92-1.76], P = 0.150). In PSM cohort balanced with age, gender, symptoms at diagnosis, pT and pN stages, tumor grade, surgical margin status, sarcomatoid features, rhabdoid features, and presence of necrosis, type 2 increased recurrence risk (HR:1.75 [95%CI: 1.16-2.65]; P = 0.008), but not cancer specific mortality (HR: 1.57 [95%CI: 0.91-2.68]; P = 0.102) and overall mortality (HR: 1.01 [95%CI: 0.68-1.48]; P = 0.981) CONCLUSIONS: This multiinstitutional study suggested that type 2 was associated with adverse histopathologic outcomes, and predictor of RFS and CSS after surgical treatment of nonmetastatic papRCC, in overall cohort. In propensity score-matching cohort, type 2 remained the predictor of RFS. Eventhough 5th WHO classification for renal tumors eliminated histomorphological subtyping, these findings suggest that subtyping is relevant from the point of prognostic view.
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Affiliation(s)
- Selcuk Erdem
- Division of Urologic Oncology, Department of Urology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey; European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands.
| | - Riccardo Bertolo
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, San Carlo Di Nancy Hospital, Rome, Italy
| | - Riccardo Campi
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Unit of Urological Robotic Surgery and Renal Transplantation, Department of Experimental and Clinical Medicine University of Florence, Florence, Italy
| | - Umberto Capitanio
- Department of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy; Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniele Amparore
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; School of Medicine, Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Umberto Anceschi
- Department of Urology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | | | - Eduard Roussel
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Nicola Pavan
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Urology Clinic, Department of Medical, Surgical and Health Science, University of Trieste, Trieste, Italy
| | - Umberto Carbonara
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Unit of Andrology and Kidney Transplantation, Department of Emergency and Organ Transplantation-Urology, University of Bari, Bari, Italy
| | - Onder Kara
- Department of Urology, Kocaeli University School of Medicine, Kocaeli, Turkey
| | - Tobias Klatte
- Department of Urology, Helios Klinikum Bad Saarow, Bad Saarow, Germany
| | - Michele Marchioni
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, SS. Annunziata Hospital, G. D'Annunzio University, Chieti, Italy
| | - Angela Pecoraro
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Division of Urology, Pederzoli Hospital, Peschiera del Garda, Verona, Italy
| | - Stijn Muselaers
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Laura Marandino
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Pietro Diana
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, IRCCS Humanitas Clinic, Rozzano, Milan, Italy
| | - Leonardo Borregales
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, Weill Cornell Medicine/New York-Presbyterian, New York, NY
| | - Carlotta Palumbo
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Division of Urology, Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, Novara, Italy
| | - Hannah Warren
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Division of Surgery and Interventional Science, University College London, London, UK
| | - Zhenjie Wu
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Anna Calio
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Chiara Ciccarese
- European Association of Urology (EAU), Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands; Medical Oncology Unit, Comprehensive Cancer Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Enes Degirmenci
- Department of Urology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey
| | - Resat Aydin
- Medical Oncology Unit, Comprehensive Cancer Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giacomo Rebez
- Urology Clinic, Department of Medical, Surgical and Health Science, University of Trieste, Trieste, Italy
| | - Luigi Schips
- Department of Urology, SS. Annunziata Hospital, G. D'Annunzio University, Chieti, Italy
| | - Giuseppe Simone
- School of Medicine, Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Andrea Minervini
- Unit of Urological Oncologic Minimally-Invasive Robotic Surgery and Andrology, University of Florence, Florence, Italy
| | - Sergio Serni
- Unit of Urological Robotic Surgery and Renal Transplantation, Department of Experimental and Clinical Medicine University of Florence, Florence, Italy
| | - Faruk Ozcan
- Division of Urologic Oncology, Department of Urology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey
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Jiang F, Xu Y, Jiang Z, Hu B, Lv Q, Wang Z. Deciphering the immunological and prognostic features of hepatocellular carcinoma through ADP-ribosylation-related genes analysis and identify potential therapeutic target ARFIP2. Cell Signal 2024; 117:111073. [PMID: 38302034 DOI: 10.1016/j.cellsig.2024.111073] [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: 12/03/2023] [Revised: 01/22/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Hepatocellular carcinoma is one of the most common malignancies, and its prognosis and treatment outcome cannot be accurately predicted. ADP-ribosylation (ADPR) is a post-translationa modification of proteins involved in protein trafficking and immune response. Therefore, it is necessary to explore the ADPR-related genes associated with the prognosis and therapeutic efficacy of hepatocellular carcinoma treatments. METHODS We downloaded the data of hepatocellular carcinoma samples to identify ADPR-related genes as prognostic markers, and established a novel ADPR-related index (ADPRI) based on univariate and multivariate COX regression analyses. Patients' prognosis, clinical features, somatic variant, tumor immune microenvironment, chemotherapeutic response and immunotherapeutic response were systematically analyzed. Finally, the role of ARFIP2 in hepatocellular carcinoma cells was preliminarily explored in vitro. RESULTS The ADPRI consisting of four ADPR related genes (ARL8B, ARFIP2, PARP12, ADPRHL1) was established to be a reliable predictor of survival in patients with hepatocellular carcinoma and was validated using external datasets. Compared with the low ADPRI group, the high ADPRI group presented higher levels of mutation frequency, immune infiltration and patients in high ADPRI group benefit more from immune checkpoint inhibitor treatment. In addition, we predicted some natural small molecule drugs as potential therapeutic targets for hepatocellular carcinoma. Finally, Knockdown of ARFIP2 inhibits the proliferation and migration of hepatocellular carcinoma cells by inducing the G1/S phase cell cycle arrest in HCC cells. CONCLUSIONS The ADPRI can be used to accurately predict the prognosis and immunotherapeutic response of hepatocellular carcinoma patients and providing valuable insights for future precision treatment of patients with hepatocellular carcinoma.
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Affiliation(s)
- Fenfen Jiang
- Laboratory of Hepatobiliary and Pancreas Surgery, Affiliated Hospital of Guilin Medical University, Guilin 541004, Guangxi, China
| | - Yan Xu
- Department of Urology, The First Hospital of China Medical University, Shenyang 110001, China
| | - Zhuang Jiang
- Traditional Chinese Medicine department, Shanghai Haijiang Hospital, 200434 Shanghai, China
| | - Bin Hu
- General Department, Shanghai Yangpu District Central Hospital, 200090 Shanghai, China
| | - Qing Lv
- Gastrointestinal surgery, Wuhan Union Hospital, Wuhan 430022, Hubei, China
| | - Zhiyong Wang
- Gastrointestinal surgery, Wuhan Union Hospital, Wuhan 430022, Hubei, China.
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Kannan B, Pandi C, Pandi A, Jayaseelan VP, Arumugam P. Triggering receptor expressed in myeloid cells 1 (TREM1) as a potential prognostic biomarker and association with immune infiltration in oral squamous cell carcinoma. Arch Oral Biol 2024; 161:105926. [PMID: 38442472 DOI: 10.1016/j.archoralbio.2024.105926] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVE The objective of this study is to investigate the significance and impact of Triggering Receptor Expression on Myeloid Cells-1 (TREM-1) in the context of oral squamous cell carcinoma (OSCC). METHODS This study involved 51 OSCC patients, 21 oral epithelial dysplasia patients (OED), and the TCGA-HNSCC dataset. TREM1 expression was analyzed using quantitative reverse transcription PCR (RT-qPCR), and Western blot. Furthermore, we assessed TREM1 expression for clinicopathological, prognosis, and immune infiltration correlations utilizing publicly available TCGA-HNSCC datasets through UALCAN, Protein Atlas, Kaplan-Meier plot, TIMER2.0, and TISIDB. We also conducted bioinformatic analyses for functional enrichment employing publicly accessible datasets. RESULTS TREM1 was significantly upregulated in OSCC and OED when compared to normal tissues, confirmed through multiple methods. Analysis of clinicopathological features showed associations with disease stage, grade, nodal metastasis, HPV status, and TP53 mutation. High TREM1 expression correlated with poorer patient survival. TREM1 was linked to immune cell infiltration and immune-related pathways. CONCLUSION TREM1 is significantly upregulated in OSCC and is associated with poor clinicopathological features and survival. It may hold promise as a therapeutic target and prognostic marker in OSCC. Further research is needed to understand its functional role in OSCC.
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Affiliation(s)
- Balachander Kannan
- Molecular Biology Lab, Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, TN, India
| | - Chandra Pandi
- Molecular Biology Lab, Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, TN, India
| | - Anitha Pandi
- Clinical Genetics Lab, Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, TN, India
| | - Vijayashree Priyadharsini Jayaseelan
- Clinical Genetics Lab, Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, TN, India
| | - Paramasivam Arumugam
- Molecular Biology Lab, Centre for Cellular and Molecular Research, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai 600077, TN, India.
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Cui S, Guo Y, Li J, Bian W, Wu W, Zhang W, Zheng Q, Guan H, Wang J, Niu J. Development of a whole spinal MRI-based tumor burden scoring method in participants with multiple myeloma: a pilot study of prognostic significance. Ann Hematol 2024; 103:1665-1673. [PMID: 38326481 DOI: 10.1007/s00277-024-05642-x] [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: 11/01/2023] [Accepted: 01/20/2024] [Indexed: 02/09/2024]
Abstract
The aim of the study was to develop a new whole spinal MRI-based tumor burden scoring method in participants with newly diagnosed multiple myeloma (MM) and to explore its prognostic significance. We prospectively recruited participants with newly diagnosed MM; performed whole spinal MRI (sagittal FSE T1WI, sagittal IDEAL T2WI, and axial FLAIR T2WI) on them; and collected their clinical data, early treatment response, progression-free survival (PFS), and overall survival (OS). We developed a new tumor burden scoring method according to the extent of bone marrow infiltration in five MRI patterns. All participants were divided into good response and poor response groups after four treatment cycles. Univariate, multivariate analyses, and ROC were used to determine the performance of independent predictors. Thresholds for PFS and OS were calculated using X-tile, and their prognostic significance were assessed by Kaplan-Meier. The Kruskal-Wallis H test was used to compare the differences of tumor burden score between the revised International Staging System (R-ISS) stages. The new tumor burden scoring method was used in 62 participants (median score, 12; range, 0-18). The tumor burden score (OR 1.266, p = 0.002) was an independent predictor of poor response and the AUC was 0.838. Higher tumor burden scores were associated with shorter PFS (p = 0.002) and OS (p = 0.011). The tumor burden score was higher in R-ISS-III than in R-ISS-I and R-ISS-II (p = 0.016 and p = 0.006, respectively). The tumor burden score was an excellent predictor of prognosis and may serve as a supplemental marker for R-ISS.
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Affiliation(s)
- Sha Cui
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Yinnan Guo
- Department of Pain, Fifth Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jianting Li
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Wenjin Bian
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenqi Wu
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Wenjia Zhang
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Qian Zheng
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Haonan Guan
- GE Healthcare, MR Research China, Beijing, China
| | - Jun Wang
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Jinliang Niu
- Department of Radiology, Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, China.
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Bi S, Jiang Y, Guan G, Sun X, Wang X, Zhang L, Jing X. Prognostic Value of Myosteatosis and Creatinine-to-Cystatin C Ratio in Patients with Pancreatic Cancer Who Underwent Radical Surgery. Ann Surg Oncol 2024; 31:2913-2924. [PMID: 38319516 DOI: 10.1245/s10434-024-14969-8] [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: 09/06/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Myosteatosis is correlated with poor prognosis in some malignancies. The creatinine-to-cystatin ratio (CCR) is revealed to predict gastric cancer prognosis. However, the prognostic abilities of CCR and the combination of CCR and myosteatosis in patients with pancreatic cancer (PC) who underwent radical surgery remains unclear. METHODS The retrospective cohort study included 215 patients with PC who underwent radical surgery (January 2016-October 2021). Clinicopathological and serological data were collected on admission. Myosteatosis and other body composition indices were assessed by using computed tomography. The cutoff value of CCR was determined by using the Youden index. Risk factors responsible for poor overall survival (OS) and disease-free survival (DFS) were determined by the Cox proportional hazards model. RESULTS The myosteatosis group included 104 patients (average age, 61.3 ± 9.1 years). The best cutoff value for CCR was 1.09. CCR ≤ 1.09 was an independent predictive biomarker inversely corelated with OS (P = 0.036). Myosteatosis was an independent risk factor associated with OS and DFS (P = 0.032 and P = 0.004, respectively). Patients with concomitant myosteatosis and CCR ≤ 1.09 had the worst OS (P = 0.016). CONCLUSIONS Myosteatosis and CCR are prognostic biomarkers for survival in PC patients who underwent radical surgery. Patients with the coexistence of myosteatosis and CCR ≤ 1.09 deserve more attention.
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Affiliation(s)
- Shenghua Bi
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yueping Jiang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ge Guan
- Liver Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xueguo Sun
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xiaowei Wang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Lingyun Zhang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xue Jing
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
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Mohamed AA, Sheik AA, Nur-Amin MA, Mohamed KA, Mohamed AH. Embryonal rhabdomyosarcoma of the testis in a 17-year-old male. Urol Case Rep 2024; 54:102723. [PMID: 38571549 PMCID: PMC10987884 DOI: 10.1016/j.eucr.2024.102723] [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: 02/24/2024] [Revised: 03/17/2024] [Accepted: 03/23/2024] [Indexed: 04/05/2024] Open
Abstract
Primary rhabdomyosarcoma of the testis is an exceptionally rare and highly malignant sarcoma. To date, there are only 23 reported cases in the literature. We report a 17-year-old male patient presented with massive scrotal swelling that had been progressively enlarging over seven-months. Scrotal ultrasound and contrast-enhanced CT revealed a 10 × 10cm left testicular heterogeneously enhancing mass that extends into the spermatic cord. A left inguinal orchiectomy was performed, and histopathological examinations showed findings consistent with Rhabdomyosarcoma, Embryonic-type. Primary embryonal testicular rhabdomyosarcoma has poor prognosis, particularly for adolescents, and tumour size greater than 10cm. Early diagnosis and radical orchiectomy improve the prognosis.
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Affiliation(s)
- Abdikarin Ahmed Mohamed
- Mogadishu Somalia Turkish Training and Research Hospital, Mogadishu, Somalia
- University of Somalia, Mogadishu, Somalia
| | | | | | - Khaled Ali Mohamed
- Mogadishu Somalia Turkish Training and Research Hospital, Mogadishu, Somalia
| | - Abdikarim Hussein Mohamed
- Mogadishu Somalia Turkish Training and Research Hospital, Mogadishu, Somalia
- University of Somalia, Mogadishu, Somalia
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Ando Y, Dbouk M, Blackford AL, Yoshida T, Saba H, Abou Diwan E, Yoshida K, Sokoll L, Eshleman JR, Burkhart R, He J, Goggins M. Using a CA19-9 Tumor Marker Gene Test to Assess Outcome After Pancreatic Cancer Surgery. Ann Surg Oncol 2024; 31:2902-2912. [PMID: 38319515 DOI: 10.1245/s10434-024-14942-5] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/29/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Cancer antigen 19-9 (CA19-9) is widely used as a marker of pancreatic cancer tumor burden and response to therapy. Synthesis of CA19-9 and its circulating levels are determined by variants encoding the fucosyltransferases, FUT2 and FUT3. Individuals can be grouped into one of four functional FUT groups (FUT3-null, FUT-low, FUT-intermediate, FUT-high), each with its own CA19-9 reference range based on its predicted capacity to produce CA19-9. The authors hypothesized that a FUT variant-based CA19-9 tumor marker gene test could improve the prognostic performance of CA19-9. METHODS Preoperative and pre-treatment CA19-9 levels were measured, and FUT variants were determined in 449 patients who underwent surgery for pancreatic ductal adenocarcinoma (PDAC) at Johns Hopkins Hospital between 2010 and 2020, including 270 patients who underwent neoadjuvant therapy. Factors associated with recurrence-free and overall survival were determined in Cox proportional hazards models. RESULTS Higher preoperative CA19-9 levels were associated with recurrence and mortality for patients in the higher-FUT groups (FUT-intermediate, FUT-high for mortality, with adjustment for other prognostic factors; hazard ratio [HR], 1.34 and 1.58, respectively; P < 0.001), but not for those in the lower-FUT groups (FUT3-null, FUT-low). As a tumor marker, CA19-9 levels of 100 U/ml or lower after neoadjuvant therapy and normalization of CA19-9 based on FUT group were more sensitive but less specific predictors of evidence for a major pathologic response to therapy (little/no residual tumor) and of early recurrence (within 6 months). CONCLUSION Among patients undergoing pancreatic cancer resection, a CA19-9 tumor marker gene test modestly improved the prognostic performance of CA19-9.
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Affiliation(s)
- Yohei Ando
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Mohamad Dbouk
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Amanda L Blackford
- Department of Medicine, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Takeichi Yoshida
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Helena Saba
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Elizabeth Abou Diwan
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Kanako Yoshida
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Lori Sokoll
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - James R Eshleman
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Richard Burkhart
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Jin He
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Michael Goggins
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
- Department of Medicine, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
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Ferreira JP, Claggett BL, Liu J, Sharma A, Desai AS, Anand IS, O'Meara E, Rouleau JL, De Denus S, Pitt B, Pfeffer MA, Zannad F, Solomon SD. High-sensitivity C-reactive protein in heart failure with preserved ejection fraction: Findings from TOPCAT. Int J Cardiol 2024; 402:131818. [PMID: 38307421 DOI: 10.1016/j.ijcard.2024.131818] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/22/2024] [Accepted: 01/28/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Inflammation plays a central role in the genesis and progression of heart failure with preserved ejection fraction (HFpEF). C-reactive protein (CRP) is widely used as means to assess systemic inflammation, and elevated levels of CRP have been associated with poor HF prognosis. Identification of chronic low-grade inflammation in outpatients can be performed measuring high-sensitivity CRP (hsCRP). The clinical characteristics and outcome associations of a pro-inflammatory state among outpatients with HFpEF requires further study. AIMS Using a biomarker subset of TOPCAT-Americas (NCT00094302), we aim to characterize HFpEF patients according to hsCRP levels and study the prognostic associations of hsCRP. METHODS hsCRP was available in a subset of 232 participants. Comparisons were performed between patients with hsCRP <2 mg/L and ≥ 2 mg/L. Cox regression models were used to study the association between hsCRP and the study outcomes. RESULTS Compared to patients with hsCRP <2 mg/L (n = 89, 38%), those with hsCRP ≥2 mg/L (n = 143, 62%) had more frequent HF hospitalizations prior to randomization, chronic obstructive pulmonary disease, orthopnea, higher body mass index, and worse health-related quality-of-life. A hsCRP level ≥ 2 mg/L was associated with an increased risk of cardiovascular death and HF hospitalizations: hsCRP ≥2 mg/L vs <2 mg/L adjusted HR 2.36, 95%CI 1.27-4.38, P = 0.006. Spironolactone did not influence hsCRP levels from baseline to month 12: gMean ratio = 1.11, 95%CI 0.87-1.42, P = 0.39. CONCLUSIONS A hsCRP ≥2 mg/L identified HFpEF patients with a high risk of HF events and cardiovascular mortality. Spironolactone did not influence hsCRP levels at 12 months.
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Affiliation(s)
- João Pedro Ferreira
- Department of Physiology and Cardiothoracic Surgery, Cardiovascular R&D Centre - UnIC@RISE, Faculty of Medicine of the University of Porto, Porto, Portugal; Université de Lorraine, Inserm, Centre d'Investigation Clinique Plurithématique 1433, U1116, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France.
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jiankang Liu
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Abhinav Sharma
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre & DREAM-CV Lab, McGill University Health Centre & Division of Cardiology, McGill University, Montreal, Quebec, Canada
| | - Akshay S Desai
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Inder S Anand
- Department of Cardiovascular Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Eileen O'Meara
- Montreal Heart Institute and Université de Montréal, Montreal, QC, Canada
| | - Jean L Rouleau
- Montreal Institute of Cardiology, University of Montreal, Montreal, QC, Canada
| | - Simon De Denus
- Faculty of Pharmacy, Université de Montréal, Montreal, QC, Canada
| | - Bertram Pitt
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Marc A Pfeffer
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Faiez Zannad
- Université de Lorraine, Inserm, Centre d'Investigation Clinique Plurithématique 1433, U1116, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Fan H, Sun M, Zhu JH. Clinical role of serum microRNA-155 in early diagnosis and prognosis of septic patients with acute kidney injury. Int Urol Nephrol 2024; 56:1687-1694. [PMID: 37898565 DOI: 10.1007/s11255-023-03855-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] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 10/11/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND AND PURPOSE Acute kidney injury (AKI) is a common complication in patients with sepsis, and early detection and timely treatment are crucial. This article aims to explore the clinical role of microRNA-155 (miR-155) in early diagnosis and prognosis evaluation of septic patients with acute kidney injury. METHODS We collected the blood samples of septic patients and measured the relative expression of serum miR-155 by RT-qPCR, and drew the receiver operating characteristic (ROC) curves to evaluate its early diagnosis for septic AKI. RESULTS The relative expression of miR-155 in the septic AKI was significantly higher than that in the septic non-AKI, and increased with the aggravation of renal function damage. The ROC curve of miR-155 for the diagnosis of septic AKI was 1.91 (95% CI: 1.61-2.19). When the optimal cut-off value of miR-155 expression was 2.37, its sensitivity for diagnosing septic AKI was 91.12% (95% CI: 80.41-95.07%), and its specificity was 84.52% (95% CI: 71.74-89.36%). Furthermore, the severity of kidney injury, SOFA score, APACHE II score and miR-155 were the risk factors affecting the prognosis of septic patients with AKI. CONCLUSION Serum miR-155 can be used as a novel biomarker for the early diagnosis of septic AKI, and also has important clinical value in the prognosis evaluation of septic patients with AKI.
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Affiliation(s)
- Heng Fan
- Department of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Road, Ningbo, Zhejiang Province, People's Republic of China
| | - Min Sun
- Department of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Road, Ningbo, Zhejiang Province, People's Republic of China
| | - Jian-Hua Zhu
- Department of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Road, Ningbo, Zhejiang Province, People's Republic of China.
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Jin F, Yu E, Chen J, Zhou W, Cai H, Hu J, Xuan L. Monocyte to high-density lipoprotein ratio as a novel-potential biomarker for predicting prognosis of Bell's palsy. Eur Arch Otorhinolaryngol 2024; 281:2293-2301. [PMID: 38015248 DOI: 10.1007/s00405-023-08340-y] [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: 08/03/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVES In several disorders, the monocyte to high-density lipoprotein ratio (MHR) has been considered a biomarker of systemic inflammation and oxidative stress. However, its role in Bell's palsy (BP) remains unclear. This study investigates the relationship between elevated MHR and poor recovery in BP patients. METHODS The clinical data of 729 BP patients were analyzed retrospectively. The House-Brackmann Facial Nerve Grading System (H-B) was utilized to assess the severity of facial motor dysfunction during admission and the follow-up period after discharge. According to the 6 months follow-up data, H-B grades 1-2 were classified as recovered (n = 557), and H-B grades 3-6 as unrecovered (n = 172). The patients were split into MHR ≤ 0.26 (n = 361) and MHR > 0.26 (n = 368) groups based on the median MHR to further analyze the connection between different MHRs and prognosis. RESULTS The level of MHR was substantially greater in the unrecovered group of BP patients than in the restored group (medians[interquartile range], 0.32[0.20, 0.49] vs 0.24[0.11, 0.39], P < 0.001). MHR was an independent risk factor for BP prognosis as indicated by the multivariate logistic regression analysis (OR = 4.467, 95% CI = 1.875-10.646, P = 0.001). The area under the curve (AUC) was 0.615 (95% CI = 0.566-0.664, P < 0.001). The initial H-B score did not differ significantly between MHR ≤ 0.26 (n = 361) and MHR > 0.26 (n = 368) groups. However, after 6 months of follow-up, the high-MHR group's H-B score was considerably greater than the low-MHR group's. CONCLUSIONS MHR is expected to be an accessible and effective biomarker of BP. In BP patients, elevated MHR is related to an increased chance of poor recovery.
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Affiliation(s)
- Fanyuan Jin
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
| | - Erhui Yu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
| | - Junkang Chen
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
| | - Wenhui Zhou
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
| | - Huafeng Cai
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
| | - Jinhua Hu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
| | - Lihua Xuan
- The First Affiliated Hospital of Zhejiang, Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China.
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Park S, Choe J, Lee SM, Choi S, Kim MJ, Chae EJ, Seo JB. Surgical Outcomes in Non-Small Cell Lung Cancer with Distant Metastasis: The Prognostic Significance of Delayed Metastasis Diagnosis. Ann Surg Oncol 2024; 31:3448-3458. [PMID: 38386197 DOI: 10.1245/s10434-024-14984-9] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/16/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND The diagnosis of distant metastasis on preoperative examinations for non-small cell lung cancer (NSCLC) can be challenging, leading to surgery for some patients with uncertain metastasis. This study evaluated the prognostic impact of delayed diagnosis of metastasis on patients who underwent upfront surgery. METHODS The study enrolled patients who underwent lobectomy or pneumonectomy for NSCLC between June 2010 and December 2017 and evaluated the presence of distant metastasis before surgery. Overall survival (OS) for patients with stage IV cancer was compared with that for patients without metastasis, and the prognostic factors were analyzed. RESULTS Of 3046 patients (mean age, 63 years; 1770 men), 100 (3.3 %) had distant metastasis, diagnosed preoperatively in 1.4 % (42/3046) and postoperatively in 1.9 % (58/3046) of the patients. The two most common metastasis sites diagnosed after surgery were contralateral lung (22/58, 37.9 %) and ipsilateral pleura (16/58, 27.6 %). The OS (median, 42.7 months) for the patients with stage IV cancer diagnosed postoperatively was comparable with that for the patients with stage IIIB cancer (P = 0.865), whereas the OS (median OS, 91.7 months) for the patients with stage IV cancer diagnosed preoperatively was better than for the patients with stage IIIB cancer (P = 0.001). Among the patients with distant metastasis, squamous cell type (hazard ratio [HR], 3.15; P = 0.002) and systemic treatment for metastasis (HR, 2.42; P = 0.002) were independent predictors of worse OS. CONCLUSIONS Among NSCLC patients undergoing upfront surgery, the OS for the patients with stage IV cancer diagnosed postoperatively was comparable with that for the patients with stage IIIB cancer. For patients with stage IV disease, squamous cell type and systemic treatment for metastasis were prognostic factors for poorer OS.
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Affiliation(s)
- Sohee Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jooae Choe
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Sang Min Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sehoon Choi
- Department of Thoracic and Cardiovascular Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Min-Ju Kim
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Eun Jin Chae
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Joon Beom Seo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
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Miao G, Cai Z, He X, Yang J, Zhang Y, Ma A, Zhao X, Tan M. Development of a predictive nomogram for 28-day mortality risk in non-traumatic or post-traumatic subarachnoid hemorrhage patients. Neurol Sci 2024; 45:2149-2163. [PMID: 37994964 DOI: 10.1007/s10072-023-07199-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/08/2023] [Indexed: 11/24/2023]
Abstract
OBJECTIVE Subarachnoid hemorrhage (SAH) is associated with high rates of mortality and permanent disability. At present, there are few definite clinical tools to predict prognosis in SAH patients. The current study aims to develop and assess a predictive nomogram model for estimating the 28-day mortality risk in both non-traumatic or post-traumatic SAH patients. METHODS The MIMIC-III database was searched to select patients with SAH based on ICD-9 codes. Patients were separated into non-traumatic and post-traumatic SAH groups. Using LASSO regression analysis, we identified independent risk factors associated with 28-day mortality and incorporated them into nomogram models. The performance of each nomogram was assessed by calculating various metrics, including the area under the curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). RESULTS The study included 999 patients with SAH, with 631 in the non-traumatic group and 368 in the post-traumatic group. Logistic regression analysis revealed critical independent risk factors for 28-day mortality in non-traumatic SAH patients, including gender, age, glucose, platelet, sodium, BUN, WBC, PTT, urine output, SpO2, and heart rate and age, glucose, PTT, urine output, and body temperature for post-traumatic SAH patients. The prognostic nomograms outperformed the commonly used SAPSII and APSIII systems, as evidenced by superior AUC, NRI, IDI, and DCA results. CONCLUSION The study identified independent risk factors associated with the 28-day mortality risk and developed predictive nomogram models for both non-traumatic and post-traumatic SAH patients. The nomogram holds promise in guiding prognosis improvement strategies for patients with SAH.
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Affiliation(s)
- Guiqiang Miao
- Department of Orthopedics, Foshan Fosun Chancheng Hospital, Foshan, 528010, China
| | - Zhenbin Cai
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Xin He
- Clinical Laboratory Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Jie Yang
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yunlong Zhang
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Ao Ma
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Xiaodong Zhao
- Department of Orthopedics, Foshan Fosun Chancheng Hospital, Foshan, 528010, China.
| | - Minghui Tan
- Department of Orthopedics, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
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Shi X, Shi D, Yin Y, Wu Y, Chen W, Yu Y, Wang X. Cuproptosis-associated genes (CAGs) contribute to the prognosis prediction and potential therapeutic targets in hepatocellular carcinoma. Cell Signal 2024; 117:111072. [PMID: 38307306 DOI: 10.1016/j.cellsig.2024.111072] [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: 01/04/2024] [Revised: 01/19/2024] [Accepted: 01/29/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Cuproptosis is a novel form of cell death that exhibits close association with mitochondrial respiration and occurs through distinct mechanisms compared to previously characterized forms of cell death. However, the precise impact of cuproptosis-associated genes (CAGs) on prognosis, immune profiles, and treatment efficacy in hepatocellular carcinomas (HCC) remains poorly understood. METHODS A comprehensive analysis of CAGs in hepatocellular carcinoma (HCC) prognosis was conducted using genomic data from HCC patients. Consensus clustering analysis was performed to determine molecular subtypes related to cuproptosis in HCC. The single-sample gene set enrichment analysis (ssGSEA) algorithm was applied to quantify the infiltration levels of immune cells, while the "ESTIMATE" package was employed to calculate tumor purity, stromal scores, and immune scores in the tumor microenvironment (TME). Principal component analysis (PCA) algorithm was utilized to construct a risk score related to CAGs. Finally, CCK8, wound healing, Transwell migration/invasion, EDU and xenograft model were employed to explore the potential oncogenic role of MTF1. RESULTS Three distinct patterns of cuproptosis modification were identified, each associated with unique functional enrichments, clinical characteristics, immune cell infiltration, immune checkpoints, tumor microenvironment (TME), and prognosis. A CAGs-related risk score (Cuscore) was developed to predict prognosis in TCGA and validated in GSE76427 and ICGC datasets. Notably, patients with a low Cuscore had better prognoses and were more likely to benefit from immunotherapy.Additionally, the high Cuscore group in HCC also revealed three potential therapeutic targets (TUBA1B, CDC25B, and CSNK2A1) as well as several therapeutic compounds. Moreover, the experiment measured the expression levels of six prognosis-related CAGs, wherein knockdown of MTF1 exhibited suppression of proliferation, invasion, and migration formation in HCC cell lines. CONCLUSION The findings have enhanced our comprehension of the cuproptosis characteristics in HCC, and stratification based on CuScore may potentially enhance the prediction of patients' prognosis and facilitate the development of effective and innovative treatment strategies.
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Affiliation(s)
- Xiaoli Shi
- School of Medicine, Southeast University, Nanjing, Jiangsu Province 210009, China; Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu Province 210029, China
| | - Dongmin Shi
- Department of Medical Oncology, Shanghai Changzheng Hospital, Shanghai 200072, China
| | - Yefeng Yin
- Department of Colorectal Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yuxiao Wu
- Department of Respiratory and Critical Care Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shangdong 250117, China
| | - Wenwei Chen
- Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu Province 210029, China
| | - Yue Yu
- Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu Province 210029, China.
| | - Xuehao Wang
- School of Medicine, Southeast University, Nanjing, Jiangsu Province 210009, China; Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, Jiangsu Province 210029, China.
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Ma C, Zhao H, Sun Y, Ding W, Wang H, Li Y, Gu Z. Deciphering disulfidptosis: Uncovering a lncRNA-based signature for prognostic assessment, personalized immunotherapy, and therapeutic agent selection in lung adenocarcinoma patients. Cell Signal 2024; 117:111105. [PMID: 38369264 DOI: 10.1016/j.cellsig.2024.111105] [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: 10/12/2023] [Revised: 01/30/2024] [Accepted: 02/15/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Disulfidptosis, a recently identified type of regulated cell death, plays critical roles in various biological processes of cancer; however, whether they can impact the prognosis of lung adenocarcinoma (LUAD) remains to be fully elucidated. We aimed to adopt this concept to develop and validate a lncRNA signature for LUAD prognostic prediction. METHODS For this study, the TCGA-LUAD dataset was used as the training cohort, and multiple datasets from the GEO database were pooled as the validation cohort. Disulfidptosis regulated genes were obtained from published studies, and various statistical methods, including Kaplan-Meier (KM), Cox, and LASSO, were used to train our gene signature DISULncSig. We utilized KM analysis, COX analysis, receiver operating characteristic analysis, time-dependent AUC analysis, principal component analysis, nomogram predictor analysis, and functional assays in our validation process. We also compared DISULncSig with previous studies. We performed analyses to evaluate DISULncSig's immunotherapeutic ability, focusing on eight immune algorithms, TMB, and TIDE. Additionally, we investigated potential drugs that could be effective in treating patients with high-risk scores. Additionally qRT-PCR examined the expression patterns of DISULncSig lncRNAs, and the ability of DISULncSig in pan-cancer was also assessed. RESULTS DISULncSig containing twelve lncRNAs was trained and showed strong predictive ability in the validation cohort. Compared with previous similar studies, DISULncSig had more prognostic ability advantages. DISULncSig was closely related to the immune status of LUAD, and its tight relationship with checkpoints KIR2DL3, IL10, IL2, CD40LG, SELP, BTLA, and CD28 may be the key to its potential immunotherapeutic ability. For the high DISULncSig score population, we found ten drug candidates, among which epothilone-b may have the most potential. The pan-cancer analysis found that DISULncSig was a risk factor in multiple cancers. Additionally, we discovered that some of the DISULncSig lncRNAs could play crucial roles in specific cancer types. CONCLUSION The current study established a powerful prognostic DISULncSig signature for LUAD that was also valid for most pan-cancers. This signature could serve as a potential target for immunotherapy and might help the more efficient application of drugs to specific populations.
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Affiliation(s)
- Chao Ma
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Huan Zhao
- Department of Clinical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yang Sun
- Department of Cardiothoracic Surgery, Zibo First Hospital, Weifang Medical University, Zibo, Shandong, PR China
| | - Weizheng Ding
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Hui Wang
- Department of Clinical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yixin Li
- Department of Clinical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Zhuoyu Gu
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, PR China.
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Klein P, Shu L, Qureshi MM, Abdalkader M, Field TS, Siegler JE, Zhou LW, Patel K, Al Kasab S, de Havenon A, Yaghi S, Qureshi AI, Nguyen TN. Trends in cerebral venous thrombosis before and during the COVID-19 pandemic: Analysis of the National Inpatient Sample. J Stroke Cerebrovasc Dis 2024; 33:107651. [PMID: 38408574 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107651] [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: 09/05/2023] [Revised: 02/11/2024] [Accepted: 02/22/2024] [Indexed: 02/28/2024] Open
Abstract
OBJECTIVES We sought to provide updated incidence and trend data for cerebral venous thrombosis (CVT) in the United States from 2016-2020, examine the impact of the COVID-19 pandemic on CVT, and identify predictors of in-hospital mortality. MATERIALS AND METHODS Validated ICD-10 codes were used to identify discharges with CVT in the National Inpatient Sample (NIS). Sample weights were applied to generate nationally representative estimates, and census data were used to compute incidence rates. The first wave of the COVID-19 pandemic was defined as January-May 2020. Trend analysis was completed using Joinpoint regression. RESULTS From 2016 to 2020, the incidence of CVT increased from 24.34 per 1,000,000 population per year (MPY) to 33.63 per MPY (Annual Percentage Change (APC) 8.6 %; p < 0.001). All-cause in-hospital mortality was 4.9 % [95 % CI 4.5-5.4]. On multivariable analysis, use of thrombectomy, increased age, atrial fibrillation, stroke diagnosis, infection, presence of prothrombotic hematologic conditions, lowest quartile of income, intracranial hemorrhage, and male sex were associated with in-hospital mortality. CVT incidence was similar comparing the first 5 months of 2020 and 2019 (31.37 vs 32.04; p = 0.322) with no difference in median NIHSS (2 [IQR 1-10] vs. 2 [1-9]; p = 0.959) or mortality (4.2 % vs. 5.6 %; p = 0.176). CONCLUSIONS CVT incidence increased in the US from 2016 to 2020 while mortality did not change. Increased age, prothrombotic state, stroke diagnosis, infection, atrial fibrillation, male sex, lowest quartile of income, intracranial hemorrhage, and use of thrombectomy were associated with in-hospital mortality following CVT. During the first wave of the COVID-19 pandemic, CVT volumes and mortality were similar to the prior year.
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Affiliation(s)
- Piers Klein
- Neurology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA; Radiology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Liqi Shu
- Neurology, Rhode Island Hospital, Brown University School of Medicine, Providence, USA
| | - Muhammad M Qureshi
- Radiology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA; Radiation Oncology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Mohamad Abdalkader
- Radiology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Thalia S Field
- Neurology, Vancouver Stroke Program, University of British Columbia, Canada
| | - James E Siegler
- Neurology, University of Chicago, USA; Neurology, Cooper University Neuroscience Institute, Camden, USA
| | - Lily W Zhou
- Neurology, Vancouver Stroke Program, University of British Columbia, Canada
| | - Karan Patel
- Neurology, Cooper University Neuroscience Institute, Camden, USA
| | - Sami Al Kasab
- Neurology, Medical University of South Carolina, Charleston, USA
| | | | - Shadi Yaghi
- Neurology, Rhode Island Hospital, Brown University School of Medicine, Providence, USA
| | - Adnan I Qureshi
- Zeenat Qureshi Stroke Institute and Department of Neurology, University of Missouri, Colombia, USA
| | - Thanh N Nguyen
- Neurology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA; Radiology, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, USA.
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Tsilimigras DI, Han X, Guglielmi A, Aldrighetti L, Weiss M, Bauer TW, Alexandrescu S, Poultsides GA, Maithel SK, Marques HP, Martel G, Pulitano C, Shen F, Chaucy F, Koerkamp BG, Endo I, Sasaki K, Aucejo F, Zhang XF, Zhu H, Pawlik TM. Early Onset Intrahepatic Cholangiocarcinoma: Clinical Characteristics, Oncological Outcomes, and Genomic/Transcriptomic Features. Ann Surg Oncol 2024; 31:3087-3097. [PMID: 38347332 PMCID: PMC10997729 DOI: 10.1245/s10434-024-15013-5] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 01/21/2024] [Indexed: 04/08/2024]
Abstract
INTRODUCTION Data on clinical characteristics and disease-specific prognosis among patients with early onset intrahepatic cholangiocarcinoma (ICC) are currently limited. METHODS Patients undergoing hepatectomy for ICC between 2000 and 2020 were identified by using a multi-institutional database. The association of early (≤50 years) versus typical onset (>50 years) ICC with recurrence-free (RFS) and disease-specific survival (DSS) was assessed in the multi-institutional database and validated in an external cohort. The genomic and transcriptomic profiles of early versus late onset ICC were analyzed by using the Total Cancer Genome Atlas (TCGA) and Memorial Sloan Kettering Cancer Center databases. RESULTS Among 971 patients undergoing resection for ICC, 22.7% (n = 220) had early-onset ICC. Patients with early-onset ICC had worse 5-year RFS (24.1% vs. 29.7%, p < 0.05) and DSS (36.5% vs. 48.9%, p = 0.03) compared with patients with typical onset ICC despite having earlier T-stage tumors and lower rates of microvascular invasion. In the validation cohort, patients with early-onset ICC had worse 5-year RFS (7.4% vs. 20.5%, p = 0.002) compared with individuals with typical onset ICC. Using the TCGA cohort, 652 and 266 genes were found to be upregulated (including ATP8A2) and downregulated (including UTY and KDM5D) in early versus typical onset ICC, respectively. Genes frequently implicated as oncogenic drivers, including CDKN2A, IDH1, BRAF, and FGFR2 were infrequently mutated in the early-onset ICC patients. CONCLUSIONS Early-onset ICC has distinct clinical and genomic/transcriptomic features. Morphologic and clinicopathologic characteristics were unable to fully explain differences in outcomes among early versus typical onset ICC patients. The current study offers a preliminary landscape of the molecular features of early-onset ICC.
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Affiliation(s)
- Diamantis I Tsilimigras
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Xu Han
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | | | | | - Matthew Weiss
- Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Todd W Bauer
- Department of Surgery, University of Virginia, Charlottesville, VA, USA
| | | | | | | | - Hugo P Marques
- Department of Surgery, Curry Cabral Hospital, Lisbon, Portugal
| | | | - Carlo Pulitano
- Department of Surgery, Royal Prince Alfred Hospital, University of Sydney, Sydney, Australia
| | - Feng Shen
- Department of Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - François Chaucy
- Department of Hepatobiliopancreatic Surgery and Liver Transplantation, AP-HP, Beaujon Hospital, Clichy, France
| | - Bas Groot Koerkamp
- Department of Surgery, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan
| | - Kazunari Sasaki
- Department of Surgery, Stanford University, Stanford, CA, USA
| | - Federico Aucejo
- Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, USA
| | - Xu-Feng Zhang
- Department of Hepatobiliary Surgery, Institute of Advanced Surgical Technology and Engineering, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hua Zhu
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
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Wu J, Cheng X, Yang H, Xiao S, Xu L, Zhang C, Huang W, Jiang C, Wang G. Geriatric nutritional risk index as a prognostic factor in elderly patients with non-muscle-invasive bladder cancer: a propensity score-matched study. Int Urol Nephrol 2024; 56:1627-1637. [PMID: 38177927 DOI: 10.1007/s11255-023-03905-6] [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: 09/09/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024]
Abstract
PURPOSE The Geriatric Nutrition Risk Index (GNRI) is a simple and validated tool used to assess the nutritional status of elderly patients and predict the risk of short-term postoperative complications, as well as the long-term prognosis, after cancer surgery. In this study, we aimed to evaluate the predictive value of GNRI for the long-term postoperative prognosis in elderly patients with primary non-muscle-invasive bladder cancer (NMIBC) who underwent transurethral resection of bladder tumor (TURBT). METHODS We retrospectively analyzed data from 292 elderly patients with primary NMIBC. Using X-tile software, we divided the cohort into two groups based on GNRI and determined the cut-off value for postoperative recurrence-free survival (RFS). Propensity score matching (PSM) with a ratio of 1:3, Kaplan-Meier analysis, log-rank test, and COX proportional hazards regression were used to assess the correlation between GNRI and prognosis and identify factors predicting recurrence and progression. RESULTS In the entire cohort, the 3 year recurrence group had significantly lower GNRI compared to the 3 year non-recurrence group (P = 0.0109). The determined GNRI cut-off value was 93.82. After PSM, the low GNRI group had significantly lower RFS (P < 0.0001) and progression-free survival (PFS) (P = 0.0040) than the high GNRI group. Multivariate COX regression showed that GNRI independently predicted RFS (HR 2.108; 95% CI 1.266-3.512; P = 0.004) and PFS (HR 2.155; 95% CI 1.135-4.091; P = 0.019) in elderly patients with primary NMIBC. CONCLUSION Preoperative GNRI is a prognostic marker for disease recurrence and progression in elderly patients with primary NMIBC undergoing TURBT.
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Affiliation(s)
- Jingxin Wu
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Xiaofeng Cheng
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Heng Yang
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Song Xiao
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Linhao Xu
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Cheng Zhang
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Wei Huang
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Chunwen Jiang
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China
| | - Gongxian Wang
- Department of Urological Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, 330000, Jiangxi, China.
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Mannelli G, Bassani S, Cosi G, Fermi M, Gazzini L, Liberale C, Mazzetti L, Parrinello G, Saibene AM, Molteni G, Comini LV. Global frequency and distribution of head and neck sarcomas in adulthood: a systematic review. Eur Arch Otorhinolaryngol 2024; 281:2553-2567. [PMID: 38381151 DOI: 10.1007/s00405-024-08477-4] [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: 09/26/2023] [Accepted: 01/12/2024] [Indexed: 02/22/2024]
Abstract
PURPOSE Head and neck sarcomas (HNS) constitute a rare and heterogeneous cancer entity. Management remains a challenge due their rarity and different biological behaviour among tens of subtypes. This systematic review aimed to describe HNS global frequency and distribution in adulthood. METHODS A systematic review was performed using PICOTS search strategies for qualitative question and it was written in accordance with PRISMA 2020 Statement. 70,653 publications were identified, and 15 variables were evaluated for a total of 2428 patients. RESULTS We identified 47 studies from 21 different countries from 5 different continents. Most of studies (83.3%) were performed in single institutions and America and Asia overruled for number of papers included (21 and 10, respectivelly). Osteosarcoma was more frequent, followed by chondrosarcoma, angiosarcoma and malignant fibrous histiocytoma. Early stage accounted for almost 80% of cases; advanced stage prevailed in developing countries. 1783 patients (90.1%) underwent surgery and 780 (39.4%) had adjuvant therapy. 50.8% of patients experienced tumour recurrence and the lowest mortality rate was reported in Europe (29.9%). CONCLUSIONS HNS holds a relative poor prognosis possibly explained by the heterogeneity of the disease. Treatment of HNS has shown to be highly diverse among different countries, underlining the importance of uniformed treatment guidelines to achieve better patient management and to improve survival outcomes.
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Affiliation(s)
- Giuditta Mannelli
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Sara Bassani
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Unit of Otorhinolaryngology, Head and Neck Department, University of Verona, Verona, Italy
| | - Ginevra Cosi
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Matteo Fermi
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Otolaryngology and Audiology Unit, IRCCS Azienda Ospedaliero-Universitaria of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy
| | - Luca Gazzini
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Department of Otolaryngology-Head and Neck Surgery, Hospital of Bolzano (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy
| | - Carlotta Liberale
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Unit of Otorhinolaryngology, Head and Neck Department, University of Verona, Verona, Italy
| | - Luca Mazzetti
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Giampiero Parrinello
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Department of Otolaryngology-Head and Neck Surgery, IRCCS San Martino Polyclinc Hospital, Genoa, Italy
| | - Alberto Maria Saibene
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Otolaryngology Department, Department of Health Sciences, Santi Paolo e Carlo Hospital, Università Degli Studi di Milano, Milan, Italy
| | - Gabriele Molteni
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria
- Otolaryngology and Audiology Unit, IRCCS Azienda Ospedaliero-Universitaria of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy
| | - Lara Valentina Comini
- Young Confederation of European ORL-HNS, Y-CEORL-HNS, Vienna, Austria.
- Head and Neck Oncology, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale, 142-KM 3.95, 10060, Candiolo, TO, Italy.
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Ackerley S, Smith MC, Jordan H, Stinear CM. Biomarkers of Motor Outcomes After Stroke. Phys Med Rehabil Clin N Am 2024; 35:259-276. [PMID: 38514217 DOI: 10.1016/j.pmr.2023.06.003] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Predicting motor outcomes after stroke based on clinical judgment alone is often inaccurate and can lead to inefficient and inequitable allocation of rehabilitation resources. Prediction tools are being developed so that clinicians can make evidence-based, accurate, and reproducible prognoses for individual patients. Biomarkers of corticospinal tract structure and function can improve prediction tool performance, particularly for patients with initially moderate to severe motor impairment. Being able to make accurate predictions for individual patients supports rehabilitation planning and communication with patients and families.
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Affiliation(s)
- Suzanne Ackerley
- School of Sport and Health Sciences, University of Central Lancashire, Preston, PR1 2HE, UK
| | - Marie-Claire Smith
- Department of Exercise Sciences, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand
| | - Harry Jordan
- Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand
| | - Cathy M Stinear
- Department of Medicine, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand.
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Xie R, Mao Z, Xu X, Sun T. Epidemiological features and a survival nomogram for primary lymphoma of the male genital tract. Ann Hematol 2024; 103:1687-1695. [PMID: 38424302 DOI: 10.1007/s00277-024-05668-1] [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: 10/26/2023] [Accepted: 02/14/2024] [Indexed: 03/02/2024]
Abstract
Primary lymphoma of the male genital tract (PLMGT) is rare, and data on its epidemiology and prognosis are lacking. Our study aimed to estimate the incidence and develop a predictive nomogram for PLMGT. We pooled the incidence and survival data of PLMGT over the last 20 years from the Surveillance, Epidemiology, and End Results (SEER) database. Incidence rates were calculated by year of diagnosis, age, race, and histology. Independent prognostic factors selected by Cox regression analysis were used to develop a nomogram for predicting overall survival (OS). Our study enrolled 1312 patients with PLMGT. The overall incidence rate of PLMGT was 0.437/1,000,000 during 2000-2019. OS was associated with age, marital status, histological subtype, Ann Arbor stage, and therapeutic strategy, which were used to construct nomograms to predict 1-, 3-, and 5-year OS rates. Receiver operating characteristic curves, calibration plots, and decision curve analysis showed good performance of the nomogram. Based on the total score of each patient from the nomogram, the patients were clustered into three risk groups, and the risk stratification model was more successful in predicting clinical outcomes than the traditional Ann Arbor staging system. The incidence rate of PLMGT has remained relatively stable over the past two decades. For the OS of patients with PLMGT, we established a novel predictive nomogram involving all independent risk factors obtained from the SEER database and developed a corresponding risk classification system that showed better predictive performance than the Ann Arbor staging system.
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Affiliation(s)
- Rongli Xie
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Zekai Mao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xiaojun Xu
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Tiantian Sun
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
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Juwara L, Cressatti M, Galindez JM, Drammeh PS, Velly AM, Schipper HM. Development and internal validation of a prognostic model for loss of balance and falls in mid- to late-stage Parkinson's disease. Neurol Sci 2024; 45:2027-2033. [PMID: 38060035 DOI: 10.1007/s10072-023-07220-x] [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: 06/25/2023] [Accepted: 11/21/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Mid- to late-stage Parkinson's disease (PD) is often linked with worsened and significant impairment of motor activities, but existing prognostic markers do not adequately capture the risk of loss of balance in PD patients. This study aims to develop a risk prognostic model for mid- to late-stage PD and identify prognostic factors that are indicative of impending loss of balance and falls. METHODS The study included 307 participants of which 75 were diagnosed with idiopathic PD and 232 were neurological or non-neurological controls. Among the PD group, 46 were early-stage (Hoehn and Yahr [H&Y] = 1,2) with no significant loss of balance while 29 were mid- to late-stage (H&Y = 3,4,5) which is characterized by loss of balance and falls. Multivariable logistic regression (MLR) was used to develop a prognostic model for mid- to late-stage PD. Model discrimination was assessed by ROC curves. The model was internally validated through bootstrapping and calibration plots. RESULTS The relevant factors identified and included in the final MLR model were shortness of breath, age, swollen joints, heme oxygenase-1 (HO-1) protein, and total salivary protein. The model had an AUC of 0.82 (95% CI = 0.71-0.92) and was well calibrated (calibration slope = 0.77, intercept = 0.03). The likelihood of shortness of breath (OR = 7.91, 95% CI = 1.63-45.12) was significantly higher among mid- to late-stage PD than early-stage. Age and total salivary protein were also significantly higher among mid- to late-stage PD. CONCLUSION The MLR prognostic model for mid- to late-stage PD may assist physicians in identifying patients at high risk for loss of balance and falls.
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Affiliation(s)
- Lamin Juwara
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Quantitative Life Sciences, McGill University, Montreal, Quebec, Canada
| | - Marisa Cressatti
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Julia M Galindez
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Pa Sallah Drammeh
- Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Ana M Velly
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Dentistry, Jewish General Hospital, Montreal, Quebec, Canada
- Faculty of Dentistry, McGill University, Montreal, Quebec, Canada
| | - Hyman M Schipper
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada.
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada.
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Lai HF, Hang JF, Kuo PC, Kuo CS, Yao SF, Chen JY, Lee CH. BRAF V600E Mutation Lacks Association with Poorer Clinical Prognosis in Papillary Thyroid Carcinoma. Ann Surg Oncol 2024; 31:3495-3501. [PMID: 38300401 DOI: 10.1245/s10434-024-14935-4] [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: 08/08/2023] [Accepted: 12/31/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Previous literatures showed wide range of prevalence of BRAF V600E in papillary thyroid carcinoma (PTC). The correlation of BRAF V600E mutation with aggressive tumor characteristics and poor prognosis is controversial. The present study was designed to evaluate the association between BRAF V600E mutation with clinicopathological factors and tumor recurrence. PATIENTS AND METHODS We performed a retrospective chart review of 672 patients who underwent thyroid surgery for PTC during 2013 and 2018. The prevalence of the BRAF V600E mutation was studied. Its correlation with clinicopathologic characteristics and aggressive features, including macroscopic extrathyroidal extension, lymph node metastasis, and distant metastasis, were analyzed with Fisher's exact test. RESULTS A total of 672 patients who underwent surgical treatment for PTC were included in this study with a mean age of 49.7 (± 13.2) years; 76.8% of the patients were detected with BRAF V600E mutation. Mean tumor size was 1.30 (± 1.07) cm. A significant association was demonstrated between negative BRAF V600E and larger primary tumor size, distant metastasis, and advanced staging (p < 0.05), whereas there was no significant association with age, sex, lymph node metastasis, extrathyroidal extension, and multicentricity. Kaplan-Meier curve showed similar disease-free survival rate between the two groups. CONCLUSIONS Negative BRAF V600E tumors show more aggressive behavior with a higher risk of developing distant metastasis in patients with PTC. The usefulness of BRAF in predicting the prognosis of PTC remains questionable. Further molecular analysis should be conducted for contribution to aggressive tumor phenotype.
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Affiliation(s)
- Hon-Fan Lai
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Jen-Fan Hang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Po-Chung Kuo
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Chin-Sung Kuo
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Division of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - San-Fan Yao
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
| | - Jui-Yu Chen
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
- Institute of Biology and Anatomy, National Defense Medical Center, Taipei, Taiwan, ROC.
| | - Chen-Hsen Lee
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
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