International Journal of Biological Markers最新文献

Background: Several studies show that the long non-coding RNA HOX transcript antisense RNA (HOTAIR) was upregulated in human cancer, which was associated with several clinical features and may have the potential to be prognostic markers. However, the significance of HOTAIR in hepatocellular carcinoma remains unclear. We performed a meta-analysis and bioanalysis to further investigate the association between HOTAIR and hepatocellular carcinoma.

Methods: Eligible literature was systematically retrieved from PubMed, Embase, and Web of Science databases. The pooled hazard ratios with 95% confidence intervals were used to evaluate to the effect. Raw data on HOTAIR expression were obtained from The Cancer Genome Atlas data portals. All bioinformatics analyses were performed using R software (version 4.3.1).

Results: We identified eight studies in this meta-analysis with a total of 399 patients. High-level HOTAIR expression was found to be significantly related to advanced tumor node metastasis stage, distant metastasis, poor tumor differentiation, and patients with hepatitis. Correspondingly, HOTAIR was also associated with poor overall survival and relapse-free survival. Subsequently, in bioanalysis, HOTAIR expression was higher in hepatocellular carcinoma as well as poor overall survival. High HOTAIR expression was strongly correlated with tumor node metastasis stage. Kyoto Encyclopedia of Genes and Genomes analysis revealed that the differentially expressed genes related to HOTAIR may be involved in the cancer-associated signaling pathway.

Conclusion: HOTAIR may be a potential biomarker for HCC prediction and is expected to become a new choice for clinical HCC prediction..

Objectives: This study aimed to explore the value of D-dimer levels in predicting the treatment efficacy and prognosis of advanced esophageal squamous cell carcinoma (ESCC) treated with programmed cell death protein-1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors.

Methods: The study retrospectively analyzed 233 ESCC patients who received PD-1/PD-L1 inhibitors. The optimal cut-off values for platelets, fibrinogen, and D-dimer were calculated based on maximally selected rank statistics for patients' overall survival. Univariate and multivariate analyses of progression-free survival and overall survival were conducted by Cox proportional hazards regression model. Subgroup analyses of D-dimer levels in different fibrinogen levels were performed by log-rank test.

Results: The multivariate Cox regression analyses demonstrated that ESCC patients with D-dimer levels > 236 ng/mL exhibited both poorer progression-free survival (P = 0.004) and overall survival (P < 0.0001) compared to those with low D-dimer levels. The subgroup analyses further indicated that in the group of low fibrinogen levels, the higher D-dimer levels of ESCC patients exhibited significantly shorter progression-free survival (P = 0.0021) and overall survival (P < 0.0001).

Conclusions: The study revealed that the D-dimer levels possess predictive value for the treatment efficacy and prognosis of ESCC patients treated with PD-1/PD-L1 inhibitors.

Background: Early identification and therapy can significantly improve the outcome for gastric cancer. However, there is still no perfect biomarker available for the detection of early gastric cancer. This study aimed to investigate the alterations in the plasma metabolites of early gastric cancer using metabolomics and lipidomics based on high-performance liquid chromatography-mass spectrometry (HPLC-MS), which detected potential biomarkers that could be used for clinical diagnosis.

Methods: To investigate the changes in metabolomics and lipidomics, a total of 30 plasma samples were collected, consisting of 15 patients with early gastric cancer and 15 healthy controls. Extensive HPLC-MS-based untargeted metabolomic and lipidomic investigations were conducted. Differential metabolites and metabolic pathways were uncovered through the utilization of statistical analysis and bioinformatics analysis. Candidate biomarker screening was performed using support vector machine-based multivariate receiver operating characteristic analysis.

Results: A disturbance was observed in a combined total of 19 metabolites and 67 lipids of the early gastric cancer patients. The analysis of KEGG pathways showed that the early gastric cancer patients experienced disruptions in the arginine biosynthesis pathway, the pathway for alanine, aspartate, and glutamate metabolism, as well as the pathway for glyoxylate and dicarboxylate metabolism. Plasma metabolomics and lipidomics have identified multiple biomarker panels that can effectively differentiate early gastric cancer patients from healthy controls, exhibiting an area under the curve exceeding 0.9.

Conclusion: These metabolites and lipids could potentially serve as biomarkers for the screening of early gastric cancer, thereby optimizing the strategy for the detection of early gastric cancer. The disrupted pathways implicated in early gastric cancer provide new clues for additional understanding of gastric cancer's pathogenesis. Nonetheless, large-scale clinical data are required to prove our findings.

Introduction: Colorectal cancer has emerged as a concerning health problem, ranking the third most common form of cancer in both men and women. The phosphatase and tensin homologue (PTEN) protein is widely known for its role as an inhibitor of the phosphatidylinositol 3-kinase/protein kinase-B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway, playing a major role inhibiting tumor development. Previous studies investigated the role of this protein in the PI3K pathway and how it affected colorectal cancer. However, a standardized cut-off value for PTEN expression has not been established.

Methods: Immunohistochemistry was used in examining PTEN. The staining grade ranging from 0 to 3 was then multiplied by the number of 100 cancer cells counted, with total score between 0 and 300. In this study, receiver operating characteristic (ROC) curve was employed to determine the expression cut-off value for PTEN in colorectal cancer.

Results: This study showed statistically significant results (P < 0.001) in either tumor or non-tumor tissues by using the ROC curve with a cut-off value of 199.0. This study also revealed significant correlation between nodal status with PTEN (P = 0.008) and stage with PTEN (P = 0.019) with sensitivity 0.753 and specificity 0.728.

Conclusion: Semiquantitative assessment with cell counting multiplied by color intensity is a good method in determining PTEN expression. The use of immunohistochemical staining intensity and cell scoring with ROC cut-off is effective to elaborate the effects of PTEN in colorectal cancer (PTEN value > 199.0 was classified as strong and ≤ 199.0 as weak).

Background: The crucial event driving nasopharyngeal tumorigenesis is the hypermethylation of chromosome 3p-located tumor suppressor genes. This case-control study aims to investigate the methylation characteristics of RASSF1A, Blu, ADAMTS9, and DLEC1 to potentially develop effective diagnostic biomarkers for nasopharyngeal carcinoma, either individually or in combination.

Methods: The methylation of RASSF1A, Blu, ADAMTS9, and DLEC1 in the collection of 93 biopsy samples and 100 healthy swab specimens were evaluated by Nested methylation-specific polymerase chain reaction. The strength of the correlation between candidate genes and nasopharyngeal carcinoma was estimated by the evaluation of odds ratios (ORs).

Results: Promoter hypermethylation of RASSF1A, Blu, ADAMTS9, and DLEC1 were found in 60.22%, 80.65%, 62.37%, and 74.19%, respectively, in nasopharyngeal carcinoma tumors. A significant association between the methylation status of candidate genes with nasopharyngeal carcinoma was reported. The methylation of candidate genes significantly increased the risk of nasopharyngeal carcinoma in cancerous samples compared with control samples (OR > 1). Based on the value of the methylation index, methylation of at least one gene was found in 95.70% of nasopharyngeal tumors. Additionally, the methylation index among 93 tumors significantly correlated with advanced stage nasopharyngeal tumors.

Conclusion: The study explored a higher frequency of hypermethylation at least one candidate gene. Methylation of a panel of potential genes can be utilized to discriminate between nasopharyngeal carcinoma and non-cancer cells, particularly in the advanced stages of nasopharyngeal carcinoma. Thus, it could serve as a valuable marker for the diagnosis and monitoring of nasopharyngeal carcinoma.

Background: Typically, the overexpressed keratin 7 (KRT7) is considered a validated therapeutic target and prognosis marker in bladder cancer. However, the crucial roles of KRT7 in the clinical prognosis and immune microenvironment in bladder cancer remain unclear.

Methods: Initially, the expression levels of KRT7 in public databases were analyzed that is,Tumor Immune Estimation Resource (TIMER) 2.0 and Gene Expression Profiling Interactive Analysis (GEPIA). Further, the clinical tissue samples from patients (n = 10 pairs) were collected to confirm the expression trends of KRT7 and detected by immunohistochemistry (IHC) analysis. Meanwhile, the relationship between KRT7 and the prognosis of bladder cancer patients was analyzed by Kaplan-Meier plotter estimation and Cox regression analysis. Finally, TIMER 2.0 and IHC staining analyses were performed to calculate the infiltration abundances of three kinds of immune cells in eligible bladder tumor samples.

Results: The TIMER 2.0 and GEPIA datasets suggested the differences in the expression levels of KRT7 in tumors, in which KRT7 was significantly upregulated in bladder cancer. The KRT7 expression was closely associated with patients' gender, tumor histologic subtypes, T status, and American Joint Committee on Cancer stages. Notably, the increased KRT7 indicated poor overall survival and disease-free survival rates. Moreover, KRT7 expression could be responsible for immune infiltration in the cancer microenvironment of the bladder. Finally, the high expression level of KRT7 increased the presence of regulatory T cells (Tregs) but reduced the infiltration of CD8+ T and natural killer cells.

Conclusion: KRT7 as a biomarker potentiated the prediction of bladder cancer prognosis and the immune microenvironment.

Purpose: Ultraviolet radiation causes skin cancer, but the exact mechanism by which it occurs and the most effective methods of intervention to prevent it are yet unknown. For this purpose, our study will use bioinformatics and systems biology approaches to discover potential biomarkers of skin cancer for early diagnosis and prevention of disease with applicable clinical treatments.

Methods: This study compared gene expression and protein levels in ultraviolet-mediated cultured keratinocytes and adjacent normal skin tissue using RNA sequencing data from the National Center for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database. Then, pathway analysis was employed with a selection of hub genes from the protein-protein interaction (PPI) network and the survival and expression profiles. Finally, potential clinical biomarkers were validated by receiver operating characteristic (ROC) curve analysis.

Results: We identified 32 shared differentially expressed genes (DEGs) by analyzing three different subsets of the GSE85443 dataset. Skin cancer development is related to the control of several DEGs through cyclin-dependent protein serine/threonine kinase activity, cell cycle regulation, and activation of the NIMA kinase pathways. The cytoHubba plugin in Cytoscape identified 12 hub genes from PPI; among these 3 DEGs, namely, AURKA, CDK4, and PLK1 were significantly associated with survival (P < 0.05) and highly expressed in skin cancer tissues. For validation purposes, ROC curve analysis indicated two biomarkers: AURKA (area under the curve (AUC) value = 0.8) and PLK1 (AUC value = 0.7), which were in an acceptable range.

Conclusions: Further translational research, including clinical experiments, teratogenicity tests, and in-vitro or in-vivo studies, will be performed to evaluate the expression of these identified biomarkers regarding the prognosis of skin cancer patients.