International Journal of Biological Markers最新文献

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.

Introduction: Diagnosis of cholangiocarcinoma (CCA) can be challenging due to unclear imaging criteria and difficulty obtaining adequate tissue biopsy. Although serum cancer antigen 19-9 and carcinoembryonic antigen have been proposed as potential diagnostic aids, their use remains limited by insufficient sensitivity and specificity. This exploratory analysis aimed to identify individual- and combinations of serum biomarkers to distinguish CCA from hepatocellular carcinoma (HCC) and chronic liver disease (CLD) controls using samples from a published study.

Methods: This prospective, multicenter, case-control study included patients aged ≥18 years at high-risk of HCC. Serum and ethylene diamine tetraacetic acid-plasma samples were collected prior to any treatment and confirmed diagnosis of HCC or CCA. Fourteen biomarkers (measured by electrochemiluminescence immunoassays or enzyme-linked immunosorbent assays) were subjected to univariate analysis and 13 included in a multivariate analysis (per selected combinations and exhaustive search).

Results: Overall, 55 CCA, 306 HCC, and 733 CLD control samples were analyzed. For distinguishing CCA from HCC, alpha-fetoprotein and matrix metalloproteinase-2 (MMP-2) showed the best individual performance (area under the curve (AUC) 86.6% and 84.4%, respectively); tissue inhibitor of metalloproteinase-1 (TIMP-1) was most able to distinguish CCA from CLD (AUC 94.5%) and from HCC  +  CLD (AUC 88.6%). The combination of MMP-2 and TIMP-1 was the best-performing two-marker panel, with AUC >90% for all comparisons.

Conclusion: MMP-2 and TIMP-1 are promising biomarkers that could support differential diagnosis of CCA. Incorporating these assays into the diagnostic algorithm could provide additional diagnostic information in a non-invasive, rapid manner, and could supplement existing diagnostic methods.

Background: This study aimed to establish a nomogram to distinguish advanced- and early-stage lung cancer based on coagulation-related biomarkers and liver-related biomarkers.

Methods: A total of 306 patients with lung cancer and 172 patients with benign pulmonary disease were enrolled. Subgroup analyses based on histologic type, clinical stage, and neoplasm metastasis status were carried out and multivariable logistic regression analysis was applied. Furthermore, a nomogram model was developed and validated with bootstrap resampling.

Results: The concentrations of complement C1q, fibrinogen, and D-dimers, fibronectin, inorganic phosphate, and prealbumin were significantly changed in lung cancer patients compared to benign pulmonary disease patients. Multiple regression analysis based on subgroup analysis of clinical stage showed that compared with early-stage lung cancer, female (P < 0.001), asymptomatic admission (P = 0.001), and total bile acids (P = 0.011) were negatively related to advanced lung cancer, while C1q (P = 0.038), fibrinogen (P < 0.001), and D-dimers (P = 0.001) were positively related. A nomogram model based on gender, symptom, and the levels of total bile acids, C1q, fibrinogen, and D-dimers was constructed for distinguishing advanced lung cancer and early-stage lung cancer, with an area under the receiver operating characteristic curve of 0.919. The calibration curve for this nomogram revealed good predictive accuracy (P_{-Hosmer-Lemeshow} = 0.697) between the predicted probability and the actual probability.

Conclusions: We developed a nomogram based on gender, symptom, and the levels of fibrinogen, D-dimers, total bile acids, and C1q that can individually distinguish early- and advanced-stage lung cancer.

Background: The correlation of the expression of ankyrin repeat domain (ANKRD) family members with renal cell carcinoma prognosis was investigated.

Methods: The GEPIA2, GEO2R, UALCAN, GDC, OncoLnc, TIMER, PanglaoDB, CancerSEA, and Tabula Muris databases were used. Twelve ANKRD family members were identified as having overexpressed renal cell carcinoma samples. The ANKRD13D was identified as a renal cell carcinoma-specific target by cross-referencing the multiple survival databases. To clarify the role of ANKRD13D, the expression of NAKRD13D was analyzed at the single-cell level.

Results: ANKRD13D was mainly expressed in immune cells and positively correlated with Treg cell infiltration. The expression of ANKRD13D was also positively correlated with PDCD1, CTLA4, LAG3, TNFSF14, and ISG20. The overexpression of ANKRD13D in Treg was confirmed using reverse transcription-quantitative polymerase chain reaction. The structure of ANKRD13D was predicted using AlphaFold.

Conclusion: In conclusion, we identified ANKRD13D as a key immune regulator, and targeting ANKRD13D with immune checkpoints blockade may be a promoting strategy for renal cell carcinoma immunotherapy.