International Journal of Biological Markers最新文献

{"title":"Identification of MEOX1 as a potential target in metabolic dysfunction-associated steatohepatitis-related liver fibrosis.","authors":"Xiaoxiao Jiao, Linying Lai, Yiting Qian, Bo Sun, Wenzhuo Yang","doi":"10.1177/03936155251335975","DOIUrl":"10.1177/03936155251335975","url":null,"abstract":"<p><p>BackgroundThe mechanisms underlying the occurrence and progression of metabolic dysfunction-associated steatohepatitis (MASH)-related liver fibrosis remains poorly understood. This study aims to identify key transcription factors involved in the development of liver fibrosis in MASH patients, thereby providing potential targets for drug discovery.MethodsMicroarray data were retrieved from liver biopsy specimens of MASH patients exhibiting varying stages of fibrosis via the Gene Expression Omnibus database. Differentially expressed transcription factors (DETFs) were identified through the application of Weighted Gene Co-expression Network Analysis. A set of in vitro and in vivo experiments were conducted to investigate the role of MEOX1 in MASH-related fibrosis. To delineate the potential mechanisms, the transcriptomic RNA sequencing (RNA-seq), Alphafold, and PyMOL were used.ResultsA total of six DETFs (MEOX1, SOX4, LEF1, SOX9, MYC, and CBX2) were identified as being positively correlated with the progression of MASH-related fibrosis. MEOX1 was increased in mouse model of MASH diet-induced liver fibrosis and hepatic stellate cells (HSCs) stimulated by transforming growth factor-β1. Knockdown of the MEOX1 markedly suppressed the activation, proliferation, and migration of HSCs. RNA-Seq analysis identified serine protease inhibitor family E member 1 (SERPINE1) as the critical target of MEOX1 within HSCs. The protein interaction sites of MEOX1 and SERPINE1 were predicted using Alphafold and PyMOL.ConclusionIn summary, as a pivotal transcription factor, MEOX1 activates HSCs via SERPINE1, thereby promoting liver fibrosis associated with MASH. Inhibition of the MEOX1-SERPINE1 pathway could offer a novel therapeutic avenue for treating MASH-related fibrosis.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"133-144"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144062640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Type IV collagen, carcinoembryonic antigen, osteopontin, and hepatocyte growth factor as biomarkers for liver metastatic colorectal cancer.","authors":"Moa Lindgren, Ingrid Ljuslinder, Pär Jonsson, Hanna Nyström","doi":"10.1177/03936155251329590","DOIUrl":"10.1177/03936155251329590","url":null,"abstract":"<p><p>IntroductionDiagnosis and monitoring of metastatic colorectal cancer (mCRC) depend on diagnostic imaging. Circulating carcinoembryonic antigen (CEA) can be analyzed but no optimal, non-invasive biomarker exists. Circulating collagen IV (COL IV) is a promising biomarker in patients with colorectal liver metastases (CLM). This study aimed to evaluate COL IV and other cancer-related and stroma-derived proteins as biomarkers for mCRC.Materials & methodsPlasma COL IV and 10 other proteins were analyzed with ELISA and Luminex multiplex assays.ResultsmCRC patients have elevated levels of circulating COL IV, CEA, interleukin-8 (IL-8), hepatocyte growth factor (HGF), cytokeratin-19 fragments (CYFRA 21-1), osteopontin (OPN), and migration inhibitory factor (MIF) compared to primary CRC (pCRC) patients. COL IV is elevated in mCRC patients compared to healthy individuals. Levels of COL IV, CEA, OPN, CYFRA 21-1, IL-8, and tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) were dependent on the metastatic site. OPN, CEA, and HGF are very good at discriminating between mCRC patients and pCRC controls. COL IV is very good at distinguishing between mCRC patients and healthy controls. The combination of OPN + CEA is superior at detecting mCRC than CEA alone. High HGF and COL IV levels correlate to poor prognosis.ConclusionOPN, CEA, and HGF are potential biomarkers for mCRC. COL IV is a potential biomarker for CLM. The combination of OPN with CEA is superior to CEA alone in detecting mCRC. Levels of circulating proteins depend on metastatic localization, implying that a combination of markers is better than single markers in detecting mCRC disease. High levels of COL IV and HGF have potential prognostic value.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"105-113"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Kin17 expression is correlated with metastasis and prognosis of esophageal squamous cell carcinoma.","authors":"Zhenkai Chen, Ruiqi Su, Liwen Jiang, Lina Yang, Xiaocong Lin, Qiyuan Huang, Kashif Rafiq Zahid, Yunen Lin, Tao Zeng","doi":"10.1177/03936155251343636","DOIUrl":"10.1177/03936155251343636","url":null,"abstract":"<p><p>BackgroundKin17 is critical in regulating the proliferation and metastasis of tumors in various malignancies. However, the relationship between Kin17 expression, clinicopathologic features, and esophageal squamous cell carcinoma (ESCC) prognosis remains unclear.MethodsThe analysis of Kin17 messenger RNA (mRNA) expression involved the utilization of data from The Cancer Genome Atlas (TCGA) dataset through the platforms the University of ALabama at Birmingham CANcer data analysis portal (UALCAN) and the Gene Expression Omnibus (GEO). To determine the expression levels of Kin17 in tissues, immunohistochemistry was conducted. Using Pearson's chi-square test, the relationship between Kin17 expression and clinicopathological variables was evaluated. Cox proportional hazard models (both univariate and multivariate), receiver operating characteristic (ROC) curves, and Kaplan-Meier survival curves were used to analyze survival.ResultsIn both the TCGA and GEO datasets, the mRNA level of Kin17 was greater in tumor tissues when compared to tumor-adjacent tissues (<i>P</i> < 0.001). Similarly, there was a significant expression of Kin17 (<i>P</i> < 0.0001) in ESCC tissues. Elevated Kin17 expression correlated significantly with increased Ki-67 levels (<i>P</i> < 0.001), advanced pathological tumor node metastasis stage (<i>P</i> = 0.01), and positive lymph node metastasis (<i>P</i> = 0.02). According to univariate and multivariate Cox models, high Kin17 expression was associated with poorer progression-free survival (PFS) (hazard ratio (HR): 1.990, 95% confidence interval (CI): (1.040-3.810)), and Kin17 was an independent prognostic variable for overall survival (OS) (HR: 2.321, 95% CI: (1.056-5.101)). ROC curve showed that the area under the curve for predicting PFS and OS using the combination of Kin17 and K-i67 was 0.7088 and 0.7031, respectively. High Kin17 expression was associated with unfavorable PFS (HR: 2.009, 95% CI: (1.059-3.811)) and OS (HR: 2.997, 95% CI: (1.488-6.040)).ConclusionsKin17 is abundantly expressed in ESCC tissues and is potentially useful for prognostic evaluation and as a target for therapeutic interventions in ESCC.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"96-104"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary investigation of nicotinamide N-methyltransferase as an HBV-specific biomarker for hepatocellular carcinoma diagnosis.","authors":"Yi Zhang, Huayang Chen, Song You, Xiaoqin Chi, Yongxi Chen, Zhiyong Wu, Jiepeng Zheng, Xin Cheng, Jianming Liu, Jie Li","doi":"10.1177/03936155251330664","DOIUrl":"10.1177/03936155251330664","url":null,"abstract":"<p><p>BackgroundNicotinamide N-methyltransferase (NNMT), a metabolic enzyme in the liver, has been implicated in various biological processes, and its high expression in hepatocellular carcinoma has been linked to tumor metastasis and poor prognosis. However, its potential as a serum biomarker for hepatocellular carcinoma diagnosis remains unexplored.MethodsA total of 172 subjects were included in this study, consisting of 71 hepatocellular carcinoma patients (64 with hepatitis B virus (HBV)-associated hepatocellular carcinoma and 7 with non-HBV-associated hepatocellular carcinoma), as well as 70 healthy controls and 31 HBV-infected individuals. Serum NNMT levels were measured, and clinical-pathological correlations were analyzed. The diagnostic efficacy of serum NNMT for HBV-related hepatocellular carcinoma was evaluated using receiver operating characteristic (ROC) curve analysis.ResultsSerum NNMT levels were significantly elevated in HBV-infected individuals and correlated with poorer prognosis, including reduced overall survival and shorter disease-free survival. Kaplan-Meier analysis revealed that low NNMT expression was associated with longer overall survival (75 vs. 12 months, <i>P</i> < 0.0001) and disease-free survival (21.5 vs. 5 months, <i>P</i> < 0.01). In HBV-related hepatocellular carcinoma patients, NNMT levels correlated with biochemical markers including alfa-fetoprotein, aspartate transaminase, triglycerides, total cholesterol, low-density lipoprotein, apolipoprotein B, TB, and albumin, with decreased albumin, and high-density lipoprotein levels promoting NNMT expression. ROC analysis showed that NNMT outperformed alfa-fetoprotein (area under the curve (AUC) 0.869 vs. 0.775), with a sensitivity of 95.2%, specificity of 87.9%, and a combined AUC of 0.947, demonstrating its superior diagnostic value for HBV-related hepatocellular carcinoma.ConclusionsSerum NNMT is a promising biomarker for predicting the risk of hepatocellular carcinoma in HBV-infected individuals and may serve as an indicator for the prognosis of hepatocellular carcinoma patients.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"124-132"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A three-miRNA panel in serum: Serving as a novel diagnostic method for nasopharyngeal carcinoma.","authors":"Zhenjian Ge, Pengwu Zhang, Yong Xia, Chong Lu, Chen Sun, Zhenyu Wen, Wenkang Chen, Yingqi Li, Shengjie Lin, Yutong Wu, Xutai Li, Huimei Zhou, Wuping Wang, Siwei Chen, Ling Ji, Yongqing Lai","doi":"10.1177/03936155251329041","DOIUrl":"10.1177/03936155251329041","url":null,"abstract":"<p><p>BackgroundNasopharyngeal carcinoma has unique epidemiological characteristics. Screening for this currently lacks a highly efficient, non-invasive, and inexpensive method. Serum microRNA (miRNA), which is stable and commonly present, has the potential to serve as a novel marker for nasopharyngeal carcinoma diagnosis.ObjectivesThis study aims to find a highly efficient, non-invasive, and inexpensive biomarker for nasopharyngeal carcinoma diagnosis.MethodsThis study, involving 52 patients with nasopharyngeal carcinoma and 56 healthy controls, was conducted in two phases to identify miRNAs in the serum suitable for nasopharyngeal carcinoma diagnosis using quantitative reverse transcription polymerase chain reaction. Stepwise logistic regression analysis was then used to identify a miRNA panel with high diagnostic efficiency. Additionally, we used bioinformatic analysis to explore the potential biological functions of the crucial miRNAs.ResultsA three-miRNA panel (miR-148b-3p, miR-10b-5p, and miR-18a-5p) has a high diagnostic value for nasopharyngeal carcinoma (area under the curve = 0.872; 95% confidence interval: 0.793-0.928; sensitivity = 78.57%; specificity = 86.54%). Through bioinformatics analysis we found that CC2D2B, PCDH9, and FOXP1 may be potential target genes of these three miRNAs.ConclusionThis three-miRNA panel (miR-148b-3p, miR-10b-5p, and miR-18a-5p) represents a highly efficient, non-invasive, and inexpensive biomarker for diagnosing nasopharyngeal carcinoma.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"87-95"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immunogenetic contribution of the <i>fractalkine</i>/<i>CX3CR1</i> axis in oral squamous cell carcinoma.","authors":"Mario Alberto Alarcón-Sánchez, Lilibeth-Stephania Escoto-Vasquez, Julieta Sarai Becerra-Ruiz, Rolando Rivera-Solano, Artak Heboyan","doi":"10.1177/03936155251345080","DOIUrl":"10.1177/03936155251345080","url":null,"abstract":"<p><p>Oral squamous cell carcinoma (OSCC) is a malignant neoplasm with high mortality and recurrence. Its etiology is multifactorial and involves environmental factors such as smoking, alcohol, and human papilloma virus infection, as well as genetic factors such as single nucleotide polymorphisms. The <i>fractalkine</i>/<i>CX3CR1</i> axis is key in the regulation of cell apoptosis, proliferation, migration, and invasion, which are fundamental processes in cancer development. The <i>CX3CL1</i> gene, which encodes fractalkine, presents variants such as rs223815 (G > C) and rs682082 (G > A), associated with resistance to chemotherapy in ovarian cancer. In OSCC, its increased expression correlates with shorter survival. On the other hand, the <i>CX3CR1</i> gene, which encodes its receptor, has variants such as T280M and V249I, which are associated with reduced cell adhesion and deficiencies in chemotaxis. These variants have been implicated in various diseases and in reduced immune response against cancer. Although the <i>fractalkine</i>/<i>CX3CR1</i> axis may have protective or tumorigenic effects depending on the type of cancer, in OSCC its activation seems to favor tumor invasion and metastasis. Future studies could determine its impact on the development and treatment of this disease.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"83-86"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LncRNA PGM5-AS1 regulates cell functions and acts as a potential biomarker to predict prognosis in breast cancer.","authors":"Lei Xiang, Yueqing Yin, Linna Kong, Pengfei Li, Huihui Zhang, Wenqing Bian, Zhaoxu Wu","doi":"10.1177/03936155251325846","DOIUrl":"10.1177/03936155251325846","url":null,"abstract":"<p><p>BackgroundThe aggressive proliferation and spread of breast cancer contributes to a dismal clinical outcome. The present study was to investigate the function and underlying mechanism of the long non-coding RNA (lncRNA) PGM5-AS1 in the modulation of breast cancer.MethodsQuantitative real time-polymerase chain reaction was utilized to assess the levels of PGM5-AS1 and miR-18a-3p. The prognostic significance was evaluated through Kaplan-Meier survival analysis and multivariate Cox regression analysis. Cell viability in breast cancer cells was measured utilizing a cell counting kit-8 kit. Cell migration and invasion were investigated using a transwell assay. The targeted regulatory interaction between PGM5-AS1, miR-18a-3p, and TGFBR3 was validated via dual luciferase reporter gene assay.ResultLevels of PGM5-AS1 were low in both breast tissue and cancer cell lines. This reduction in expression was linked to various clinical characteristics and a reduced overall survival rate in breast cancer patients. Upregulation of PGM5-AS1 expression noticeably inhibited proliferation, migration, and invasion in breast cancer cells. PGM5-AS1 regulated breast cancer development by controlling the miR-18a-3p/TGFBR3 axis.ConclusionThe lncRNA PGM5-AS1/miR-18a-3p/TGFBR3 axis is considered a potential genetic target for the development of breast cancer treatments.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"114-123"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LRP1B mutation is associated with lymph node metastasis in endometrial carcinoma: A clinical next-generation sequencing study.","authors":"Yunfeng Zheng, Fan Yang, Jie Wu","doi":"10.1177/03936155241304433","DOIUrl":"10.1177/03936155241304433","url":null,"abstract":"<p><p>BackgroundThis study aims to investigate the mutation status and protein expression of low-density lipoprotein receptor-related protein 1B (LRP1B) in endometrial cancer, and analyze its association with lymph node metastasis (LNM) in endometrial cancer.MethodsTargeted next-generation sequencing (NGS) was conducted on both tumor tissues and paired blood DNA obtained from 94 endometrial cancer patients, followed by comprehensive analysis. Additionally, immunohistochemistry (IHC) was used to explore the correlation between LRP1B protein expression levels, its gene mutation status, and LNM.Results<i>LRP1B</i> mutation was observed in 19 patients (20.2%). Our results revealed that <i>LRP1B</i> mutation frequencies were significantly different between endometrial cancer with or without LNM (<i>P </i>= 0.038). Multivariate analysis indicated that <i>LRP1B</i> mutation was a favorable predictor (odds ratio 0.09; 95% confidence interval 0.01-0.95; <i>P </i>= 0.045) for LNM in endometrial cancer. Further analysis revealed that combination of <i>LRP1B</i> mutation with clinical variants (LVSI and histological subtype) yielded a higher area under the curve value of 0.871) and patients harboring <i>LRP1B</i> mutated-type were less likely to develop LNM. On integrated analysis, the concordance between <i>LRP1B</i> NGS and LRP1B IHC was 73.3%.ConclusionsThis study utilizes targeted NGS to uncover the relationship between <i>LRP1B</i> mutation and LNM status, contributing to the development of primary prevention and proactive treatment strategies.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"3-11"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142839645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of liquid-liquid phase separation-related prognostic model in lung adenocarcinoma and systematic analysis of its clinical significance.","authors":"Yan Chen, Cheng Huang, Wei Wei","doi":"10.1177/03936155241310887","DOIUrl":"10.1177/03936155241310887","url":null,"abstract":"<p><p>PurposeTo detect the prognostic importance of liquid-liquid phase separation (LLPS) in lung adenocarcinoma.MethodsThe gene expression files, copy number variation data, and clinical data were downloaded from The Cancer Genome Atlas cohort. LLPS-related genes were acquired from the DrLLPS website. The prognostic model based on LLPS was constructed by the Cox regression and LASSO regression analyses after the identification of LLPS-related differentially expressed genes (DEGs). Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed. The LLPS-related prognostic risk score was validated by GSE31210 and GSE72094. The overall survival of lung adenocarcinoma patients was predicted by plotting a nomogram. The biological features of the high-risk lung adenocarcinoma were evaluated by the CIBERSORT, ESTIMATE, Gene Set Variation Analysis, and Genomics of Drug Sensitivity in Cancer. Reverse transcription-quantitative polymerase chain reaction detected hub gene expression.ResultsA total of 91 DEGs were screened out in LLPS, among which 9 genes were discovered as prognostic biomarkers of lung adenocarcinoma. <i>GRIA1</i>, <i>CRTAC1</i>, <i>MAGEA4</i>, and <i>MAPK4</i> were identified as hub genes by the LASSO Cox regression analysis. High-risk and low-risk groups were divided according to the risk index, with the high-risk group displaying a markedly worse outcome. CRTAC1 expression was significantly decreased, MAGEA4 and MAPK4 expressions were increased, while GRIA1 expression was altered in lung adenocarcinoma cells. Tumor microenvironment, signaling pathway enrichment, and drug sensitivity significantly differed between different risk groups.ConclusionsThis work proposed a prognostic tool based on the LLPS-related gene signature to offer prospective and effective biomarkers for lung adenocarcinoma prognosis.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"12-23"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced glycation end products and breast cancer risk in a sample of the ORDET cohort.","authors":"Claudia Agnoli, Federico Perlino, Giulia Guerra, Martina Quartiroli, Claudia Vener, Pierluigi Mauri, Antonella de Palma, Elisabetta Venturelli, Sabina Sieri","doi":"10.1177/03936155241309927","DOIUrl":"10.1177/03936155241309927","url":null,"abstract":"<p><p>IntroductionBreast cancer is the most common cancer among women, and metabolic syndrome (MetS) is a risk factor for breast cancer, especially postmenopausal breast cancer. We evaluated the role of the advanced glycated end products (AGEs) levels contributing to the association between MetS and breast cancer risk.MethodsPlasma AGEs were measured in a case-control study nested within the Hormones and Diet in the Etiology of Breast Tumors (ORDET) cohort, including 40 incident postmenopausal breast cancer cases (20 with MetS and 20 without) and 40 postmenopausal controls (20 with MetS and 20 without). The association between AGEs and breast cancer was analyzed using Bayesian logistic regression models. An informative prior for the exposure coefficient, modeled as a normal distribution, centered on the natural logarithm of an odds ratio ((OR)=1.635) derived from prior evidence, was employed alongside weakly informative priors (WIPs). Bayesian linear regression with WIPs was used to examine the association between MetS and AGEs. Estimates were reported with SDs and 90% and 95% credible intervals (CI).ResultsAGEs were associated with higher breast cancer risk both with the informative prior (OR = 1.745, SD):0.362; 90% CI:1.218-2.390; 95% CI:1.137-2.548) and the WIP (OR = 1.861, SD = 0.661; 90% CI:1.026-3.082; 95% CI:0.924-3.528) specification. Although the difference in plasma AGEs in women with and without MetS was not significant, we found a suggestion of higher levels in women with MetS (mean difference in standardized AGEs between individuals with and without MetS = 0.155, SD = 0.245; 90% CI:-0.246 to 0.553; 95% CI:-0.322 to 0.625).ConclusionsThese data, although from a small sample of women, support a role of endogenous AGEs in the pathological pathways underlying the association between MetS and breast cancer development.</p>","PeriodicalId":50334,"journal":{"name":"International Journal of Biological Markers","volume":" ","pages":"75-79"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143015481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}