scholarly journals HMGA1 Has Predictive Value in Response to Chemotherapy in Gastric Cancer

2021 ◽  
Vol 29 (1) ◽  
pp. 56-67
Author(s):  
Diana Pádua ◽  
Débora Filipa Pinto ◽  
Paula Figueira ◽  
Carlos Filipe Pereira ◽  
Raquel Almeida ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Mobility ◽  
Chromatin Binding ◽  
Clinical Value ◽  
Response To Chemotherapy ◽  
Hmga1 Expression ◽  
Treatment Data ◽  
New Biomarkers ◽  
Tumor Types ◽  
First Time

Gastric cancer is a serious health problem worldwide. Although its incidence is decreasing, the five-year survival rate remains low. Thus, it is essential to identify new biomarkers that could promote better diagnosis and treatment of patients with gastric cancer. High-mobility group AT-hook 1 (HMGA1) is a non-histone, chromatin-binding protein that has been found overexpressed in several tumor types. It has been correlated with invasion, metastasis, and drug resistance, leading to worse patient survival. The aim of this work was to evaluate the clinical value of HMGA1 in gastric cancer. HMGA1 expression was analyzed by immunohistochemistry in a single hospital series (n = 323) of gastric adenocarcinoma cases (stages I to IV) with clinicopathological and treatment data. In this series, HMGA1 expression showed no significant relevance as a prognostic biomarker. Nevertheless, a significantly better overall survival was observed in cases with high levels of HMGA1 when they were treated with chemotherapy, compared to the nontreated ones, implying that they can benefit more from treatment than patients with low expression of HMGA1. We thereby show for the first time that HMGA1 expression has a substantial value as a biomarker of response to chemotherapy in gastric cancer.

scholarly journals Value of HMGB1 expression for assessing gastric cancer severity: a systematic meta-analysis

2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199331
Author(s):  
Chunxiang Zhou ◽  
Qun Yang
Keyword(s):  
Gastric Cancer ◽  
Meta Analysis ◽  
High Mobility ◽  
Clinicopathological Characteristics ◽  
Tumor Differentiation ◽  
Clinical Value ◽  
Hmgb1 Expression ◽  
Clinicopathological Significance ◽  
N Stage ◽  
Highly Correlated

Objective To evaluate the clinical value of high mobility group box-1 (HMGB1) expression levels in patients with gastric cancer. Methods Articles published from January 2000 to August 2022 were searched using PubMed, Google Scholar and Science Direct, Springer, Wiley and NIH to evaluate the clinicopathological significance of HMGB1 expression in gastric cancer. Results A total of 156 publications were selected, of which six studies, comprising 846 patients, met the criteria for inclusion in this study. Forest plots of clinicopathological characteristics indicated that HMGB1 expression was not associated with age (odds ratio (OR) = 1.07, 95% confidence interval (CI): 0.89–1.28), sex (OR = 0.90, 95% CI: 0.81–1.00), TNM (OR = 1.39, 95% CI: 0.82–2.37), N stage (OR = 1.42, 95% CI: 0.97–2.07), or tumor differentiation (OR = 0.96, 95% CI: 0.71–1.29), but was highly correlated with pT stage (OR = 1.56, 95% CI: 1.17–2.07). Funnel plots showed no significant publication bias in the included studies in terms of age, sex, TNM, pT stage, N stage, or tumor differentiation. Conclusion HMGB1 expression was significantly correlated with tumor pT stage, but not with age, sex, TNM stage, tumor N stage, tumor differentiation, or lymphatic metastasis in patients with GC.

scholarly journals Cholinesterase is Associated With Prognosis and Response to Chemotherapy in Advanced Gastric Cancer

2021 ◽  
Vol 27 ◽  
Author(s):  
Yanzhi Bi ◽  
Junling Zhang ◽  
Dongxiang Zeng ◽  
Lili Chen ◽  
Wei Ye ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Serum Level ◽  
Objective Response ◽  
Multivariate Logistic Regression Analysis ◽  
Progression Free Survival ◽  
Post Treatment ◽  
Clinical Value ◽  
Free Survival ◽  
Response To Chemotherapy ◽  
The Relationship

Background: Cholinesterase (CHE) is a routine serum biomarker in gastric cancer (GC). However, little research has been done on its clinical value in advanced GC. In addition, it is not clear whether it can be used as biomarker for the response and prognosis of advanced GC patients.Methods: Between Jan. 2013 and Dec. 2016, a total of 150 patients with advanced GC treated with first-line chemotherapy were admitted to Changzhou Tumor Hospital Affiliated to Soochow University. We retrospectively identified serum CHE level on the day before chemotherapy and at the end of chemotherapy and abstracted clinicopathologic features and treatment outcomes. Univariate and multivariate survival analyses were performed to assess the relationship between serum CHE levels and progression-free survival (PFS) and overall survival (OS).Results: A total of 150 advanced GC patients were included and divided into serum level ≥5,000 IU/L and serum level <5,000 IU/L. CHE level lower than 5,000 IU/L was associated with poorer PFS (HR, 1.60; 95% CI, 1.141–2.243; p = 0.006), poorer OS (HR, 1.76; 95% CI, 1.228–2.515; p = 0.002) and trend of poorer response (HR, 0.56; 95% CI, 0.272–1.129; p = 0.104). In univariate and multivariate logistic regression analysis, only liver metastasis and PS score were significantly associated with objective response (p < 0.05). The medium PFS was 8.0 months in patients with post-treatment CHE increased vs. 3.8 months in patients with CHE decreased after chemotherapy (HR, 1.82; 95% CI 1.28–2.57; p = 0.0002). The medium OS was 13.1 months in patients with increased post-treatment CHE vs. 8.1 months in patients with decreased post-treatment CHE (HR, 1.87; 95% CI 1.29–2.71; p = 0.0002).Conclusion: Advanced GC with CHE levels below 5,000 IU/L was significantly associated with poor PFS and OS. The results suggested that CHE analysis before chemotherapy was a promising prognostic marker for advanced GC.

scholarly journals Immunopositivity for Siglec-15 in gastric cancer and its association with clinical and pathological parameters

2021 ◽  
Vol 65 (1) ◽  
Author(s):  
Michael Williams Leal Quirino ◽  
Michelly Cristiny Pereira ◽  
Maria de Fátima Deodato de Souza ◽  
Ivan da Rocha Pitta ◽  
Antônio Felix Da Silva Filho ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Sialic Acid ◽  
Prognostic Factor ◽  
Clinical Value ◽  
Angiolymphatic Invasion ◽  
Immunohistochemistry Analysis ◽  
Promising Target ◽  
Sialic Acid Binding ◽  
Well Differentiated ◽  
Tumor Types

The sialic acid-binding immunoglobulin-type lectin Siglec-15 is a promising target to cancer immunotherapy in several tumor types. The present study aimed to investigate Siglec-15 expression in gastric cancer (GC) patient tissue and to evaluate its clinical value. Siglec-15 expression was evaluated by immunohistochemistry with 71 patients. Siglec-15 staining was observed in tumor cells of 53 (74.64%) patients, with significant association with histologic classification and angiolymphatic invasion (p<0.05). Immunohistochemistry analysis also detected Siglec-15 in tumor-associated stroma cells (macrophages/myeloid cells). There was no significant association with outcomes parameters. Siglec-15 expression in well differentiated histological GC tissues and in the tumor microenvironment are potential targets to be further investigated as a novel prognostic factor for GC.

scholarly journals Overexpression of HMGA1 Figures as a Potential Prognostic Factor in Endometrioid Endometrial Carcinoma (EEC)

Genes ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 372 ◽  
Author(s):  
Antonio Palumbo Júnior ◽  
Vanessa Paiva Leite de Sousa ◽  
Francesco Esposito ◽  
Marco De Martino ◽  
Floriana Forzati ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Potential Role ◽  
Histological Grade ◽  
High Mobility ◽  
The Cancer Genome Atlas ◽  
Hmga1 Expression ◽  
Wide Range ◽  
Potential Prognostic Factor ◽  
Gynecologic Tumors ◽  
New Biomarkers

Endometrioid endometrial carcinomas (EEC) are the most common malignant gynecologic tumors. Despite the increase in EEC molecular knowledge, the identification of new biomarkers involved in disease’s development and/or progression would represent an improvement in its course. High-mobility group A protein (HMGA) family members are frequently overexpressed in a wide range of malignancies, correlating with a poor prognosis. Thus, the aim of this study was to analyze HMGA1 and HMGA2 expression pattern and their potential role as EEC biomarkers. HMGA1 and HMGA2 expression was initially evaluated in a series of 46 EEC tumors (stages IA to IV), and the findings were then validated in The Cancer Genome Atlas (TCGA) EEC cohort, comprising 381 EEC tumors (stages IA to IV). Our results reveal that HMGA1 and HMGA2 mRNA and protein are overexpressed in ECC, but only HMGA1 expression is associated with increased histological grade and tumor size. Moreover, HMGA1 but not HMGA2 overexpression was identified as a negative prognostic factor to EEC patients. Finally, a positive correlation between expression of HMGA1 pseudogenes—HMGA1-P6 and HMGA1-P7—and HMGA1 itself was detected, suggesting HMGA1 pseudogenes may play a role in HMGA1 expression regulation in EEC. Thus, these results indicate that HMGA1 overexpression possesses a potential role as a prognostic biomarker for EEC.

scholarly journals The Immune Tolerance Role of the HMGB1-RAGE Axis

Cells ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 564
Author(s):  
Haruki Watanabe ◽  
Myoungsun Son
Keyword(s):  
Immune Responses ◽  
Immune Tolerance ◽  
Lupus Erythematosus ◽  
Advanced Glycation Endproducts ◽  
High Mobility ◽  
Chromatin Binding ◽  
Advanced Glycation ◽  
Glycation Endproducts ◽  
Extracellular Milieu

The disruption of the immune tolerance induces autoimmunity such as systemic lupus erythematosus and vasculitis. A chromatin-binding non-histone protein, high mobility group box 1 (HMGB1), is released from the nucleus to the extracellular milieu in particular environments such as autoimmunity, sepsis and hypoxia. Extracellular HMGB1 engages pattern recognition receptors, including Toll-like receptors (TLRs) and the receptor for advanced glycation endproducts (RAGE). While the HMGB1-RAGE axis drives inflammation in various diseases, recent studies also focus on the anti-inflammatory effects of HMGB1 and RAGE. This review discusses current perspectives on HMGB1 and RAGE’s roles in controlling inflammation and immune tolerance. We also suggest how RAGE heterodimers responding microenvironments functions in immune responses.

scholarly journals The clinical value of ficolin-3 gene polymorphism in rheumatic heart disease. An Egyptian adolescents study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Maher H. Gomaa ◽  
Emad Gamil Khidr ◽  
Ahmed Elshafei ◽  
Hala S. Hamza ◽  
Aya M. Fattouh ◽  
...  
Keyword(s):  
Innate Immunity ◽  
Heart Disease ◽  
Gene Polymorphism ◽  
Rheumatic Heart Disease ◽  
Streptococcus Pyogenes ◽  
Gene Polymorphisms ◽  
Clinical Value ◽  
Homozygous Genotype ◽  
First Time ◽  
Rheumatic Heart

Abstract Objective Ficolin-3 is one of the innate immunity molecules that was thought to play a pivotal role in Streptococcus pyogenes autoimmunity and its complications; rheumatic fever (RF) and rheumatic heart disease (RHD). We aimed to disclose if there is an association between ficolin-3 (FCN3) gene polymorphisms (rs4494157 and rs10794501) and RF with or without RHD for the first time in Egyptian adolescents. Results Serum ficolin-3 level was significantly elevated in patients suffering from RF with and without RHD in comparison with control. Regarding FCN3 gene (rs4494157) polymorphism, a significant correlation was found between the A allele and the susceptibility to RF with or without RHD (OR = 2.93, P = 0.0002 and OR = 2.23, P = 0.008 respectively). Besides, AA homozygous genotype showed a significant association with RHD risk (OR = 3.47, P = 0.026). Patients carrying the A allele (CA + AA) had significantly higher serum ficolin-3 than those carrying the CC genotype (P ˂ 0.0001). While the frequency of (rs10794501) polymorphism revealed no significant differences between the controls and RF patients with or without RHD (OR = 1.43, P = 0.261 and OR = 1.48, P = 0.208 respectively).

scholarly journals Serum high mobility group box-1 (HMGB1) is closely associated with the clinical and pathologic features of gastric cancer

2009 ◽  
Vol 7 (1) ◽  
pp. 38 ◽  
Author(s):  
Hye Chung ◽  
Sang-Guk Lee ◽  
Heejung Kim ◽  
Duck Hong ◽  
Jae Chung ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Mobility ◽  
High Mobility Group ◽  
Pathologic Features

scholarly journals The biopsychosocial-digital continuum of foot orthosis practice and research: the VALUATOR model

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Kevin Deschamps ◽  
Chris Nester ◽  
Veronica Newton ◽  
Gabriel Gijon-Nogueron ◽  
Engin Simsek ◽  
...  
Keyword(s):  
Therapeutic Efficacy ◽  
Social Stress ◽  
Clinical Value ◽  
Holistic Model ◽  
Scientific Discussion ◽  
Wide Range ◽  
Clinical Strategies ◽  
Person Centered Approach ◽  
First Time ◽  
Foot Orthosis

AbstractFoot orthoses have been used for decades despite uncertainty surrunding their therapeutic efficacy. Orthoses have been used exclusively to affect neuro-biomechanical input and outcome variables, however, there is emerging evidence that therapeutic efficacy may be affected by a psychological stimulus. Critical appraisal of the literature highlights that there is no holistic model upon which foot orthosis practice is taught, practised nor investigated. This paper introduces a conceptual model of foot orthosis practice (Value Based Foot Orthosis Practice (VALUATOR) model) that embraces a broader range of factors that are pertinent to orthosis practice, incorporating contemporary health service behaviours and values into orthosis practice for the first time.Within the VALUATOR model, foot orthosis design and clinical value is considered along a bio-psycho-social-digital continuum that reflects the reality of foot orthosis practice. The model contextualises the variable outcomes that are observed in research and practice within 6 key areas: 1) value, 2) person-centered approach, 3) zone of optimal bio-psycho-social stress, 4) bio-psycho-social assessment, 5) monitoring, 6) primary and secondary clinical strategies.The VALUATOR model is targeted at students, lecturers, scientists and practitioners and includes carefully chosen terminology to support a robust basis for educational and scientific discussion. It is believed that it provides a contemporary viewpoint and a structured conceptual metaphor that builds on existing evidence from a wide range of sources, invites constructive intellectual debate, and is anchored in the experiences of practitioners too. Stress testing the VALUATOR model will help determine its model and support further developments and evolution of orthotic practice in a evidence based way.

Field Determination of Fracture Propagation Mode Using Downhole Pressure Data

2015 ◽  
Author(s):  
Ali Daneshy ◽  
Chad Touchet ◽  
Fred Hoffman ◽  
Mike McKown
Keyword(s):  
Propagation Mode ◽  
Fluid Migration ◽  
Pressure Data ◽  
Isolation System ◽  
Fracture Orientation ◽  
Coiled Tubing ◽  
Treatment Data ◽  
Set Up ◽  
Adjacent Fractures ◽  
First Time

Abstract This paper presents the analysis results of 60 single stage fracturing treatments performed in a horizontal well using cemented casing sleeves and a coiled tubing deployed frac isolation system as the completion method. In this carefully set-up and executed treatment, separation between the toe stages was 97 feet, and near the heel it was 55 feet. Pressure data was collected above and below the retrievable plug used for stage isolation. This data was used for analysis of fracturing treatment data which included mode of propagation, completion efficiency, and a rough estimate of fracture orientation. The analysis showed that; There was no interaction between adjacent fractures during five of the sixty fracturing stages. None of these was in the well interval with shorter fracture spacingFracture shadowing occurred during six fracture stages, again none in the shorter spacing intervalMinor cement defects (micro-annuli) caused some fluid migration into the passive segment of the well. This happened in 27 stages. Of these; In eleven cases the cement defects were plugged after a while, causing the migration of fracturing fluid into the passive interval to stop.In sixteen other cases the fluid migration through cement micro-annuli continued during fracturing.During ten stages, defective zone isolation and fluid migration caused a pressure increase of several hundred psi in the passive segment of the well. But this did not result in extension of passive fractures.The volume of migrated slurry due to inadequate zone isolation was mostly a very small fraction of the injected volume.During five stages poor cement quality hampered stage isolation and caused immediate link between adjacent active and passive intervals and extension of passive fractures.The data indicate possible connection between the active and one passive fracture in four stages.Shorter spacing between stages increased the incidents of fluid migration due to poor cement qualityThe fracturing pressure variations during the treatments did not indicate presence of large stress shadowingA rough estimation of fracture orientation indicates that they were likely to be vertical and nearly perpendicular to the wellbore.The fracture growth pattern can best be described as off-balance. To our knowledge, this is the first time existence of direct communication between adjacent fractures has been observed through actual pressure interference data.

scholarly journals Construction of Prognostic Prediction Model for Stomach Adenocarcinoma Based on the TCGA Database.

2020 ◽  
Author(s):  
Zhengzhong Gu ◽  
Xiaohan Cui ◽  
Xudong Wang
Keyword(s):  
Gastric Cancer ◽  
Extracellular Matrix ◽  
Protein Kinase ◽  
Network Analysis ◽  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Stomach Adenocarcinoma ◽  
Matrix Organization ◽  
Prognostic Prediction ◽  
New Biomarkers

Abstract Background: Prognostic prediction models have been developed to detect new biomarkers of gastric cancer (GC). The identification of new biomarkers could provide theoretical foundations for the application of molecular targeted therapy in advanced GC. The aim of this study was to construct a prognostic prediction model for stomach adenocarcinoma (STAD) based on The Cancer Genome Atlas (TCGA) database. Methods: First, we used the "limma" package to screen differentially expressed genes (DEGs) based on TCGA database. Gene ontology (GO) analysis was performed using the "ClusterProfiler" package. The interactions between proteins and the relationships between differentially expressed genes and clinical features were analyzed by protein-protein interaction (PPI) network analysis and weighted gene coexpression network analysis (WGCNA), respectively. Then, gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used to identify differentially enriched pathways. The GenVisR package and CIBERSORT were used to identify mutations and assess immune infiltration. Finally, the expression of COL3A1 in STAD tissues was verified by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and western blotting.Results: Six differentially expressed genes were screened out, namely, COL3A1, ADAMTS12, BGN, FNDC1, AEBP1 and HTRA3. The enrichment results showed that differentially expressed genes were involved in multiple pathways in STAD, such as those related to the extracellular matrix, extracellular structure organization, and extracellular matrix organization. The differentially expressed genes were related to immune infiltration via the mitogen-activated protein kinase (MAPK) and phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathways. The western blotting and RT-qPCR results suggested that COL3A1 was overexpressed in STAD tissues compared with normal tissues.Conclusion: COL3A1, ADAMTS12, BGN, FNDC1, AEBP1 and HTRA3 could play important roles in the tumorigenesis and progression of STAD via various pathways, including those involving the extracellular matrix, extracellular structure organization, and extracellular matrix organization. COL3A1, ADAMTS12, BGN, FNDC1, AEBP1, and HTRA3 act as oncogenes in most cancers and may be biomarkers. Additionally, the identification of COL3A1 as a candidate biomarker provides a direction for further research on the role of tumor immunity in gastric cancer.

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