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1.
Exp Ther Med ; 26(3): 454, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37614422

ABSTRACT

Cytomegalovirus (CMV) infection is one of the most common infectious complications following hematopoietic stem cell transplantation (HSCT); however, cases involving multiple organs at the same time are rare. The present study describes a case of CMV pneumonia combined with CMV DNAemia and CMV cystitis after HSCT. A 33-year-old male patient with acute myeloid leukemia was treated with HSCT. The first month after HSCT, the patient developed a cough and shortness of breath. At 2 months post-HSCT, the patient developed hematuria. The CMV DNA levels in the blood and urine were elevated; bronchoalveolar lavage fluid (BALF) was also positive for CMV DNA. Heterotypic cells exhibiting a large nuclear morphology were observed in the BALF and bronchial brushes. Recurrent and progressive ground-glass opacities were evident on chest computed tomography. The patient was diagnosed with CMV pneumonia complicated by CMV DNAemia and CMV cystitis, and was treated with a combination of ganciclovir and foscarnet, along with immunoglobulin therapy. The patient was cured and discharged. It was determined that the CMV DNA in the blood was inconsistent with that in the BALF, which delayed the early diagnosis of CMV pneumonia. The association between T-cell immune function and the therapeutic efficacy for CMV multi-organ infection following HSCT is known to be significant. Moreover, the timely administration of ganciclovir and foscarnet in combination with immunoglobulin therapy demonstrated favorable clinical outcomes.

2.
Respir Res ; 19(1): 150, 2018 Aug 13.
Article in English | MEDLINE | ID: mdl-30103737

ABSTRACT

BACKGROUND: Lung cancer ranks as the leading cause of cancer-related deaths worldwide and we performed this meta-analysis to investigate eligible studies and determine the prognostic effect of Ki-67. METHODS: In total, 108 studies in 95 articles with 14,732 patients were found to be eligible, of which 96 studies reported on overall survival (OS) and 19 studies reported on disease-free survival (DFS) with relation to Ki-67 expression in lung cancer patients. RESULTS: The pooled hazard ratio (HR) indicated that a high Ki-67 level could be a valuable prognostic factor for lung cancer (HR = 1.122 for OS, P < 0.001 and HR = 1.894 for DFS, P < 0.001). Subsequently, the results revealed that a high Ki-67 level was significantly associated with clinical parameters of lung cancer including age (odd ratio, OR = 1.246 for older patients, P = 0.018), gender (OR = 1.874 for males, P < 0.001) and smoking status (OR = 3.087 for smokers, P < 0.001). Additionally, significant positive correlations were found between Ki-67 overexpression and poorer differentiation (OR = 1.993, P = 0.003), larger tumor size (OR = 1.436, P = 0.003), and higher pathologic stages (OR = 1.867 for III-IV, P < 0.001). Furthermore, high expression of Ki-67 was found to be a valuable predictive factor for lymph node metastasis positive (OR = 1.653, P < 0.001) and advanced TNM stages (OR = 1.497 for stage III-IV, P = 0.024). Finally, no publication bias was detected in any of the analyses. CONCLUSIONS: This study highlights that the high expression of Ki-67 is clinically relevant in terms of the prognostic and clinicopathological characteristics for lung cancer. Nevertheless, more prospective well-designed studies are warranted to validate these findings.


Subject(s)
Biomarkers, Tumor/biosynthesis , Gene Expression Regulation, Neoplastic , Ki-67 Antigen/biosynthesis , Lung Neoplasms/diagnosis , Lung Neoplasms/metabolism , Biomarkers, Tumor/genetics , Humans , Ki-67 Antigen/genetics , Prognosis , Prospective Studies
3.
Cell Physiol Biochem ; 48(2): 540-555, 2018.
Article in English | MEDLINE | ID: mdl-30021196

ABSTRACT

BACKGROUND/AIMS: Accumulated evidence indicates that lncRNA NEAT1 has important roles in various malignant tumors. In this study, we conducted a comprehensive analysis to explore the exact role of NEAT1 in hepatocellular carcinoma (HCC). METHODS: The effects of NEAT1 on cell proliferation, apoptosis, migration, and invasion were measured by in vitro experiments. The expression level and clinical value of NEAT1 in HCC was evaluated based on data from The Cancer Genome Atlas (TCGA), Oncomine, and in-house real-time quantitative (RT-qPCR). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and protein-protein interaction (PPI) network analyses were conducted to investigate the potential molecular mechanisms of NEAT1. RESULTS: NEAT1 siRNA not only inhibited proliferation, migration, and invasion of HCC cells but also induced HCC cell apoptosis. A total of four records from TCGA, Oncomine, and RT-qPCR analysis were combined to assess the expression level of NEAT1 in HCC. The pooled standard mean deviation (SMD) indicated that NEAT1 was up-regulated in HCC (SMD = 0.54; 95% CI, 0.36-0.73; P < 0.0001). The area under the curve value of the summary receiver operating characteristic curve was 0.71. NEAT1 expression was also related to race (P = 0.025) and distant metastasis (P = 0.002). Additionally, the results of GO, KEGG pathway, and PPI network analyses suggest that NEAT1 may promote the progression of HCC by interacting with several tumor-related genes (SP1, MDM4, CREBBP, TRAF5, CASP8, TRAF1, KAT2A, and HIST4H4). CONCLUSIONS: NEAT1 contributes to the deterioration of HCC and provides a potential biomarker for the diagnosis and therapy of HCC.


Subject(s)
Carcinoma, Hepatocellular/pathology , Liver Neoplasms/pathology , RNA, Long Noncoding/metabolism , Apoptosis , Area Under Curve , Carcinoma, Hepatocellular/genetics , Carcinoma, Hepatocellular/mortality , Cell Cycle Proteins , Cell Movement , Cell Proliferation , Data Mining , Gene Expression Regulation, Neoplastic , Hep G2 Cells , Humans , Kaplan-Meier Estimate , Liver Neoplasms/genetics , Neoplasm Staging , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Protein Interaction Maps , Proto-Oncogene Proteins/genetics , Proto-Oncogene Proteins/metabolism , RNA Interference , RNA, Long Noncoding/antagonists & inhibitors , RNA, Long Noncoding/genetics , RNA, Small Interfering/metabolism , ROC Curve , Real-Time Polymerase Chain Reaction , Sp1 Transcription Factor/genetics , Sp1 Transcription Factor/metabolism
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