LIVIVO - Search results -

Search results

Result 1 - 10 of total 55

Search options

Article ; Online: Recurrence of CCHS-associated PHOX2B Poly-Alanine expansion variant due to paternal mosaicism.

Jiang, Huling / Ping, Zepeng / Li, Suping / Zhu, Jianjun

2024 Volume 911, Page(s) 148358

Abstract: Background: Paired-like Homeobox 2B (PHOX2B) is considered the causative gene of Congenital Central Hypoventilation Syndrome (CCHS), a dominant genetic disorder characterized by impaired central respiratory control and subsequent hypoventilation during ... ...

Abstract	Background: Paired-like Homeobox 2B (PHOX2B) is considered the causative gene of Congenital Central Hypoventilation Syndrome (CCHS), a dominant genetic disorder characterized by impaired central respiratory control and subsequent hypoventilation during sleep. Methods: Herein, we present a family with recurrent severe CCHS. The potential causative genetic variant was confirmed through Whole-Exome Sequencing (WES), Sanger sequencing, and droplet digital PCR (ddPCR). Furthermore, prenatal diagnosis was performed on the proband's mother at 20 weeks of her fourth pregnancy upon request. Results: The proband and her brother were both carriers of the PHOX2B polyalanine expansion variant: c.744_758dupCGCGGCAGCGGCGGCGGCGGC. Sanger sequencing revealed that the proband's father had a small variant peak in the gene position, implying potential somatic mosaicism. In addition, ddPCR results showed that the proband's father had germline mosaicism, with a mosaicism proportion of 14.3%. Notably, the detect p.(Ala241[26]) variant was not detected in the fetus. Conclusions: These findings have important implications for improving genetic counseling of CCHS families as they suggest that even parents without CCHS symptoms may have somatic chimerism, necessitating careful genetic counseling and consideration of prenatal testing for subsequent pregnancies.
MeSH term(s)	Humans ; Male ; Female ; Pregnancy ; Hypoventilation/genetics ; Hypoventilation/congenital ; Homeodomain Proteins/genetics ; Mosaicism ; Mutation ; Alanine ; Transcription Factors/genetics ; Fathers ; Sleep Apnea, Central
Chemical Substances	Homeodomain Proteins ; Alanine (OF5P57N2ZX) ; Transcription Factors
Language	English
Publishing date	2024-03-11
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	391792-7
ISSN	1879-0038 ; 0378-1119
ISSN (online)	1879-0038
ISSN	0378-1119
DOI	10.1016/j.gene.2024.148358
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1357: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Details ▾
- See ZB MED holdings
- Order with fees

Article: The development of a novel signature based on the m

Li, Huling / Lin, Dandan / Wang, Xiaoyan / Feng, Zhiwei / Zhang, Jing / Wang, Kai

Frontiers in genetics

2022 Volume 13, Page(s) 894080

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2022-10-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606823-0
ISSN	1664-8021
ISSN	1664-8021
DOI	10.3389/fgene.2022.894080
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: [Carrier screening and prenatal diagnosis for thalassemia-associated mutations in Jiaxing area of Zhejiang].

Jiang, Huling / Zhou, Chiyan / Yang, Li / Li, Suping / Liu, Xiaodan

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics

2023 Volume 40, Issue 3, Page(s) 295–300

Abstract: Objective: To study the molecular epidemiology of thalassemia in Jiaxing area of Zhejiang province and provide a basis for prenatal diagnosis, genetic counseling and prevention and control of birth defects.: Methods: A total of 24 003 pregnant women ... ...

Abstract	Objective: To study the molecular epidemiology of thalassemia in Jiaxing area of Zhejiang province and provide a basis for prenatal diagnosis, genetic counseling and prevention and control of birth defects. Methods: A total of 24 003 pregnant women who presented at the Jiaxing Maternal and Child Health Care Hospital from April 2017 to September 2021 were enrolled. Capillary hemoglobin electrophoresis in combination with routine blood test were used for primary screening for carriers of thalassemia-associated mutations, and those with positive results were subjected to fluorescence quantitative PCR assay. Prenatal diagnosis was provided for couples with a risk of giving birth to children with intermediate or severe thalassemia. Results: Among the 24 003 pregnant women, 1 211 cases were suspected as carriers of thalassemia-associated mutations, among whom 443 (36.58%) were confirmed by genetic testing. Among these, carriers of α-, β- and α-complex β-globin gene mutations have accounted for 27.31% (121/443), 70.65% (313/443) and 2.04% (9/443), respectively. The result of prenatal diagnosis for an at-risk couple was --SEA/αCSα, and the fetus was predicted to have intermediate or severe thalassemia. Termination of the pregnancy was recommended. Conclusion: Hemoglobin electrophoresis combined with routine blood test during pregnancy may be used as a preliminary screening measure for carriers of thalassemia-associated variants. Combined with genetic testing, this will be of great significance for the control of thalassemia in this region.
MeSH term(s)	Female ; Humans ; Pregnancy ; Electrophoresis, Capillary ; Genetic Counseling ; Genetic Testing ; Mutation ; Prenatal Diagnosis ; Thalassemia/diagnosis ; Thalassemia/genetics
Language	Chinese
Publishing date	2023-03-01
Publishing country	China
Document type	English Abstract ; Journal Article
ISSN	1003-9406
ISSN	1003-9406
DOI	10.3760/cma.j.cn511374-20220121-00054
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Expression and Prognostic Significance of PDIA3 in Cervical Cancer.

Zhang, Jing / Li, Hui / Li, Huling / Lin, Dandan / Wang, Xiaoyan / Wang, Kai

International journal of genomics

2022 Volume 2022, Page(s) 4382645

Abstract: To investigate the expression of protein disulfide isomerase A3 (PDIA3/ERP57) in cervical cancer and its clinical prognostic significance as well as its function and possible action mechanism in the progression of cervical cancer. Based on TIMER2.0 ... ...

Abstract	To investigate the expression of protein disulfide isomerase A3 (PDIA3/ERP57) in cervical cancer and its clinical prognostic significance as well as its function and possible action mechanism in the progression of cervical cancer. Based on TIMER2.0 database, the human protein map (Human Protein Atlas) was used to determine the expression level of PDIA3 protein for the analysis of PDIA3 expression in 39 The Cancer Genome Atlas (TCGA) tumors. The PDIA3 expression in cervical cancer tissues in the TCGA and Genotype-Tissue Expression databases was further verified based on the GEPIA2 database to analyze the relationship between the PDIA3 expression and the pathological stage of cervical cancer patients. Immunohistochemistry was used to detect the PDIA3 expression in cervical cancer tissue microarray, including 111 cancer tissue samples and 24 adjacent cancer tissue samples, and the relationship between PDIA3 protein expression and clinical characteristics of patients with cervical cancer was analyzed. The Kaplan-Meier method and log-rank test were used for survival analysis. Based on the cBioPortal database, the Spearman's and Pearson's methods were used to analyze the correlation between PDIA3 expression and DNA methylation. The correlation between PDIA3 expression and the infiltration levels of each immune cell in cervical cancer was evaluated. The STRING was used to construct protein interaction network. Based on LinkedOmics database, the Spearman's method was used to analyze the co-expressed genes of PDIA3 in TCGA cervical cancer. The gene ontology functional enrichment analysis was performed on Top 50 differentially co-expressed genes based on DAVID database. The PDIA3 expression in cervical cancer tissues was significantly higher than that in normal tissues, which (
Language	English
Publishing date	2022-11-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	2711883-6
ISSN	2314-4378 ; 2314-436X
ISSN (online)	2314-4378
ISSN	2314-436X
DOI	10.1155/2022/4382645
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Taxifolin attenuates inflammation via suppressing MAPK signal pathway

Zhang, Xingyan / Lian, Xiaoyan / Li, Huling / Zhao, Wenjing / Li, Xin / Zhou, Fujun / Zhou, Yutong / Cui, Tao / Wang, Yuli / Liu, Changxiao

Chinese herbal medicines

2022 Volume 14, Issue 4, Page(s) 554–562

Abstract: Objective: Taxifolin is a natural flavonoid compound that can be isolated from onions, grapes, oranges and grapefruit. It also acts as a medicine food homology with extraordinary antioxidant and anti-inflammatory activity. This study aims to explain the ...

Abstract	Objective: Taxifolin is a natural flavonoid compound that can be isolated from onions, grapes, oranges and grapefruit. It also acts as a medicine food homology with extraordinary antioxidant and anti-inflammatory activity. This study aims to explain the protective effects and potential mechanisms of taxifolin against inflammatory reaction. Methods: Levels of interleukin (IL)-6, IL-1β and intracellular reactive oxygen species (ROS) were assessed in different time after the treatment of taxifolin in RAW264.7 cells induced by lipopolysaccharide (LPS). Subsequently, the mRNA and protein levels of inducible nitric oxide synthase (iNOS), vascular endothelial growth factor (VEGF), cyclooxygenase (COX)-2, tumor necrosis factor (TNF)-α and the phosphorylation expression levels of the MAPK signal pathway were also evaluated. A silico analysis was used to explain the binding situation for the investigation of taxifolin and MAPK signal pathway. And then MAPK inhibitors were used to reveal the expression level of iNOS, VEGF, COX-2 and TNF-α in RAW264.7 cells. Results: It was demonstrated that cell inflammatory damage induced by LPS was significantly alleviated after the treatment of taxifolin. Then, the mRNA and protein levels of iNOS, VEGF, COX-2 and TNF-α were reduced and the phosphorylation expression levels of the MAPK signal pathway were down-regulated remarkably as well. In silico analysis, taxifolin could form a relatively stable combination with MAPK signal pathway. MAPK inhibitors showed increasing or decreasing effect in the mRNA levels of iNOS, VEGF, COX-2 and TNF-α, which suggesting that taxifolin down-regulated iNOS, VEGF, COX-2 and TNF-α expressions were not entirely through the MAPK pathway. Conclusion: This finding demonstrated that taxifolin improved the inflammatory responses that partly involved in the phosphorylation expression level of MAPK signal pathway in RAW264.7 cells exposed to acute stress.
Language	English
Publishing date	2022-09-01
Publishing country	Singapore
Document type	Journal Article
ISSN	2589-3610
ISSN (online)	2589-3610
DOI	10.1016/j.chmed.2021.03.002
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017

Yukai Li / Huling Li / Hua Yao

Computational and Mathematical Methods in Medicine, Vol

2018 Volume 2018

Abstract: The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced ... ...

Abstract	The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced process, diabetes follow-up data of the New Urban Area of Urumqi, Xinjiang, was used as input variables of support vector machine (SVM), decision tree, and integrated learning model (Adaboost and Bagging) for modeling and prediction. The experimental results show that Adaboost algorithm produces better classification results. For the test set, the G-mean was 94.65%, the area under the ROC curve (AUC) was 0.9817, and the important variables in the classification process, fasting blood glucose, age, and BMI were given. The performance of the decision tree model in the test set is relatively lower than that of the support vector machine and the ensemble learning model. The prediction results of these classification models are sufficient. Compared with a single classifier, ensemble learning algorithms show different degrees of increase in classification accuracy. The Adaboost algorithm can be used for the prediction of diabetes follow-up and control satisfaction data.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7
Subject code	006
Language	English
Publishing date	2018-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Association between lipocalin-2 and mild cognitive impairment or dementia: A systematic review and meta-analysis of population-based evidence.

Li, Xiuwen / Wang, Xiaojie / Guo, Lan / Wu, Keying / Wang, Li / Rao, Lu / Liu, Xinjian / Kang, Chenyao / Jiang, Bin / Li, Qian / Li, Huling / He, Fenfen / Lu, Ciyong

Ageing research reviews

2023 Volume 89, Page(s) 101984

Abstract: Background: The associations between lipocalin-2 (LCN2) with mild cognitive impairment (MCI) and dementia have gained growing interest. However, population-based studies have yielded inconsistent findings. Therefore, we conducted this essential ... ...

Abstract	Background: The associations between lipocalin-2 (LCN2) with mild cognitive impairment (MCI) and dementia have gained growing interest. However, population-based studies have yielded inconsistent findings. Therefore, we conducted this essential systematic review and meta-analysis to analyze and summarize the existing population-based evidence. Methods: PubMed, EMBASE, and Web of Science were systematically searched until Mar 18, 2022. Meta-analysis was performed to generate the standard mean difference (SMD) of peripheral blood and cerebrospinal fluid (CSF) LCN2. A qualitative review was performed to summarize the evidence from postmortem brain tissue studies. Results: In peripheral blood, the overall pooled results showed no significant difference in LCN2 across Alzheimer's disease (AD), MCI and control groups. Further subgroup analysis revealed higher serum LCN2 levels in AD compared to controls (SMD =1.28 [0.44;2.13], p = 0.003), while the difference remained insignificant in plasma (SMD =0.04 [-0.82;0.90], p = 0.931). Besides, peripheral blood LCN2 were higher in AD when age difference between AD and controls ≥ 4 years (SMD =1.21 [0.37;2.06], p = 0.005). In CSF, no differences were found in LCN2 across groups of AD, MCI and controls. However, CSF LCN2 was higher in vascular dementia (VaD) compared to controls (SMD =1.02 [0.17;1.87], p = 0.018), as well as compared to AD (SMD =1.19 [0.58;1.80], p < 0.001). Qualitative analysis supported that LCN2 was increased in the brain tissue of AD-related areas, especially in astrocytes and microglia; while LCN2 increased in infarct-related brain areas and over-expressed in astrocytes and macrophages in mixed dementia (MD). Conclusion: The difference in peripheral blood LCN2 between AD and controls may be affected by the type of biofluid and age. No differences were found in CSF LCN2 across AD, MCI and controls groups. In contrast, CSF LCN2 was elevated in VaD patients. Moreover, LCN2 was increased in AD-related brain areas and cells in AD, while in infarcts-related brain areas and cells in MD.
MeSH term(s)	Humans ; Alzheimer Disease/diagnosis ; Biomarkers ; Cognitive Dysfunction/diagnosis ; Dementia, Vascular/diagnosis ; Lipocalin-2 ; Mixed Dementias
Chemical Substances	Biomarkers ; Lipocalin-2 ; LCN2 protein, human
Language	English
Publishing date	2023-06-15
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2075672-0
ISSN	1872-9649 ; 1568-1637
ISSN (online)	1872-9649
ISSN	1568-1637
DOI	10.1016/j.arr.2023.101984
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 5579: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017.

Li, Yukai / Li, Huling / Yao, Hua

Computational and mathematical methods in medicine

2018 Volume 2018, Page(s) 7207151

Abstract	The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced process, diabetes follow-up data of the New Urban Area of Urumqi, Xinjiang, was used as input variables of support vector machine (SVM), decision tree, and integrated learning model (Adaboost and Bagging) for modeling and prediction. The experimental results show that Adaboost algorithm produces better classification results. For the test set, the G-mean was 94.65%, the area under the ROC curve (AUC) was 0.9817, and the important variables in the classification process, fasting blood glucose, age, and BMI were given. The performance of the decision tree model in the test set is relatively lower than that of the support vector machine and the ensemble learning model. The prediction results of these classification models are sufficient. Compared with a single classifier, ensemble learning algorithms show different degrees of increase in classification accuracy. The Adaboost algorithm can be used for the prediction of diabetes follow-up and control satisfaction data.
MeSH term(s)	Aged ; Algorithms ; China ; Data Mining ; Diabetes Mellitus ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Patient Satisfaction ; Support Vector Machine
Language	English
Publishing date	2018-07-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	2252430-7
ISSN	1748-6718 ; 1748-670X ; 1027-3662
ISSN (online)	1748-6718
ISSN	1748-670X ; 1027-3662
DOI	10.1155/2018/7207151
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 6373: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Identification and characterization of MicroRNAs in pig liver after the LPS challenge using RNA-seq

Yang, Yang / Lv, Qingqing / Huang, Xingfa / Fan, Jiajun / Li, Pei / Zhu, Huling / Kang, Ping / Liu, Yulan

Food and Agricultural Immunology. 2022 Dec. 31, v. 33, no. 1 p.652-663

2022

Abstract: This study was conducted to test the expression profiles of miRNAs in the liver in piglets after the LPS challenge using sequencing technology. Twelve barrows were assigned to two groups, including the saline group and the LPS group. Six small RNA (sRNA) ...

Abstract	This study was conducted to test the expression profiles of miRNAs in the liver in piglets after the LPS challenge using sequencing technology. Twelve barrows were assigned to two groups, including the saline group and the LPS group. Six small RNA (sRNA) libraries were constructed, and novel miRNAs were identified using mirevo and mirdeep2 software and validated by quantitative real-time PCR (qRT-PCR). The results showed the mRNA expression of IL-1β, IL-6 and TNF-α in the liver increased after the LPS challenge (P < .05). A total of 29 differentially expressed miRNAs were identified in the liver after the LPS challenge. And 11 miRNAs were validated by qRT-PCR. In addition, the results of statistics of pathway enrichment showed that these miRNAs could be related to lipid metabolism response. This study provides the first miRNA expression profiles of LPS-mediated changes in the liver, which might provide potential insights into miRNAs involved in regulating lipid metabolism in pigs challenged by LPS.
Keywords	computer software ; gene expression ; interleukin-6 ; lipid metabolism ; liver ; microRNA ; quantitative polymerase chain reaction ; sequence analysis ; statistics ; swine ; Lipopolysaccharide ; miRNA ; pig
Language	English
Dates of publication	2022-1231
Size	p. 652-663.
Publishing place	Taylor & Francis
Document type	Article ; Online
ZDB-ID	1015019-5
ISSN	1465-3443 ; 0954-0105
ISSN (online)	1465-3443
ISSN	0954-0105
DOI	10.1080/09540105.2022.2109602
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 5001: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.

Li, Huling / Lin, Dandan / Yu, Zhen / Li, Hui / Zhao, Shi / Hainisayimu, Tuersun / Liu, Lin / Wang, Kai

Frontiers in immunology

2022 Volume 13, Page(s) 947802

Abstract: Background: Increasing evidence suggests that the number of examined lymph nodes (ELNs) is strongly linked to the survivorship of gastric cancer (GC). The goal of this study was to assess the prognostic implications of the ELNs number and to construct ... ...

Abstract	Background: Increasing evidence suggests that the number of examined lymph nodes (ELNs) is strongly linked to the survivorship of gastric cancer (GC). The goal of this study was to assess the prognostic implications of the ELNs number and to construct an ELNs-based risk signature and nomogram model to predict overall survival (OS) characteristics in GC patients. Methods: This inception cohort study included 19,317 GC patients from the U.S. Surveillance, Epidemiology, and End Results (SEER) database, who were separated into a training group and an internal validation group. The nomogram was built with the training set, then internally verified with SEER data, and externally validated with two different data sets. Based on the RNA-seq data, ELNs-related DERNAs (DElncRNAs, DEmiRNAs, andDEmRNAs) and immune cells were identified. The LASSO-Cox regression analysis was utilized to construct ELNs-related DERNAs and immune cell prognostic signature in The Cancer Genome Atlas (TCGA) cohort. The OS of subgroups with high- and low-ELN signature was compared using the Kaplan-Meier (K-M) analysis. A nomogram was successfully constructed based on the ELNs signature and other clinical characteristics. The concordance index (C-index), calibration plot, receiver operating characteristic curve, and decision curve analysis (DCA) were all used to evaluate the nomogram model. The meta-analysis, the Gene Expression Profiling Interactive Analysis database, and reverse transcription-quantitative PCR (RT-qPCR) were utilized to validate the RNA expression or abundance of prognostic genes and immune cells between GC tissues and normal gastric tissues, respectively. Finally, we analyzed the correlations between immune checkpoints, chemotherapy drug sensitivity, and risk score. Results: The multivariate analysis revealed that the high ELNs improved OS compared with low ELNs (hazard ratio [HR] = 0.659, 95% confidence interval [CI]: 0.626-0.694, p < 0.0001). Using the training set, a nomogram incorporating ELNs was built and proven to have good calibration and discrimination (C-index [95% CI], 0.714 [0.710-0.718]), which was validated in the internal validation set (C-index [95% CI], 0.720 [0.714-0.726]), the TCGA set (C-index [95% CI], 0.693 [0.662-0.724]), and the Chinese set (C-index [95% CI], 0.750 [0.720-0.782]). An ELNs-related signature model based on ELNs group, regulatory T cells (Tregs), neutrophils, CDKN2B-AS1, H19, HOTTIP, LINC00643, MIR663AHG, TMEM236, ZNF705A, and hsa-miR-135a-5p was constructed by the LASSO-Cox regression analysis. The result showed that OS was remarkably lower in patients with high-ELNs signature compared with those with low-ELN signature (HR = 2.418, 95% CI: 1.804-3.241, p < 0.001). This signature performed well in predicting 1-, 3-, and 5-year survival (AUC [95% CI] = 0.688 [0.612-0.763], 0.744 [0.659-0.830], and 0.778 [0.647-0.909], respectively). The multivariate Cox analysis illustrated that the risk score was an independent predictor of survival for patients with GC. Moreover, the expression of prognostic genes (LINC00643, TMEM236, and hsa-miR-135a-5p) displayed differences between GC tissues and adjacent non-tumor tissues. The C-index of the nomogram that can be used to predict the OS of GC patients was 0.710 (95% CI: 0.663-0.753). Both the calibration plots and DCA showed that the nomogram has good predictive performance. Moreover, the signature was significantly correlated with the N stage and T stage. According to our analysis, GC patients in the low-ELN signature group may have a better immunotherapy response and OS outcome. Conclusions: We explored the prognostic role of ELNs in GC and successfully constructed an ELNs signature linked to the GC prognosis in TCGA. The findings manifested that the signature is a powerful predictive indicator for patients with GC. The signature might contain potential biomarkers for treatment response prediction for GC patients. Additionally, we identified a novel and robust nomogram combining the characteristics of ELNs and clinical factors for predicting 1-, 3-, and 5-year OS in GC patients, which will facilitate personalized survival prediction and aid clinical decision-making in GC patients.
MeSH term(s)	Humans ; Nomograms ; Stomach Neoplasms/genetics ; Stomach Neoplasms/therapy ; Cohort Studies ; Neoplasm Staging ; Prognosis ; Lymph Nodes/pathology ; MicroRNAs
Chemical Substances	MicroRNAs
Language	English
Publishing date	2022-11-02
Publishing country	Switzerland
Document type	Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2022.947802
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

To top

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito