Objective To review the research progress of C terminal propeptide of collagen type II (CTX-II), a osteoarthritis (OA) biomarker. Methods Domestic and international l iterature about CTX-II was reviewed extensively and summarized. Results CTX-II is investigated broadly and has the best performance of all currently available biomarkers. CTX-II is a truly useful biomarker for early diagnosis, prognosis, and measurement of treatment response in OA. Conclusion Single CTX-II may be not sufficient for early diagnosis and prognosis of OA, so a combination of CTX-II and other biomarkers or diagnosis methods is needed.
ObjectiveTo evaluate the value of carcinoembryonic antigen (CEA), ferritin, D-dimer, fibrinogen degradation product (FDP), white blood cell (WBC) and C-reactive protein (CRP) in diagnosis and prognosis of severe community-acquired pneumonia (SCAP).MethodsThis was a prospective observational study. One hundred and seventy-seven candidates were divided into 3 groups: SCAP group including 61 SCAP patients, CAP group including 56 patients with normal community-acquired pneumonia group and HP group including 60 healthy people. Initial level of above biomarkers was compared and analyzed in the three groups. Then the efficiency of diagnosing and predicting the outcome of SCAP by single and combined index were evaluated by receiver operating characteristic (ROC) curve. Meanwhile the patients in SCAP group were divided into two groups according to the CEA level named CEA increasing group and normal group, between which the differences in prognosis and biomarker level were compared.ResultsThe initial level of all biomarkers increased in two pneumonia groups and exceeded the HP group (P< 0.01) while between SCAP and CAP groups, all indexes in SCAP group were higher than the CAP group (P< 0.001). The areas under the ROC of CEA, ferritin, D-dimer, CRP, WBC and united respectively were 0.800, 0.834, 0.769, 0.898, 0.756 and 0.956. The sensitivity of united index was 91.8% while specificity was 90.5%. Among SCAP group, only CEA level made sense to predict the prognosis (P< 0.01). There were significant differences in intubation rate, mortality, length of RICU stay and FDP, D-dimer between CEA increasing group and normal group (P< 0.05).ConclusionsHigh level CEA, ferritin, D-dimer, CRP and WBC have significant value in diagnosis of SCAP. And the combined index has higher diagnostic value than single one. SCAP with increased CEA level indicates more serious condition and poor prognosis.
ObjectiveTo explore the clinical significance of plasma biomarkers of prethrombotic state in lung cancer patients. Methods90 patients with lung cancer (lung cancer group) and 90 normal controls (control group) of Han population in Shanghai Pulmonary Hospital from June 2010 to June 2012 were recruited in the study. Enzyme-linked immunosorbent assay (ELISA) was used to detect the plasma levels of von willebrand factor(vWF),P-selectin,and thrombin-antithrombine complex (TAT). Coagulation indicators were detected by ACLTOP full automatic coagulation analyzer. Solidification method was used to detect the plasma levels of prothrombin time (PT),activated partial thromboplastin time (APTT) and fibrinogen (FIB). Turbidimetric immunoassay was used to detect D-dimer concentration,and chemiluminescence substrate was used to assay antithrombin Ⅲ (AT-Ⅲ). ResultsIn the lung cancer group,the plasma levels of vWF,P-selectin,TAT,D-dimer and FIB were significantly higher than those in the control group (P<0.05),and the plasma levels of APTT and AT-Ⅲ were lower than those in the control group(P<0.05),while there was no significant difference in plasma PT level(P>0.05). In stage Ⅳ lung cancer subgroup,the plasma levels of vWF,P-selectin,TAT,D-dimer and FIB were significantly higher than those in the stage Ⅲ subgroup or the stage Ⅰ+Ⅱ subgroup (P<0.05). And the plasma levels of PT and APTT were significantly lower than those in the stage Ⅲ subgroup or the stage Ⅰ+Ⅱ subgroup (P<0.05). ConclusionThe patients with lung cancer exist obvious prethrombotic state. AT-Ⅲ,vWF, D-dimer, FIB,TAT,P-selectin and APTT can be used as reliable hematol markers in early diagnosis of prethrombotic state. vWF,P-selectin,TAT and D-dimer have higher sensitivity and specificity.
Objective To estimate the diagnostic value of mesothelin in ovarian cancer. Methods PubMed, The Cochrane Library, CBM, CNKI and WanFang Data databases were searched from inception to October 2016 to collect relevant diagnostic accuracy studies of mesothelin in ovarian cancer. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Statistical analysis was performed using Meta-Disc 1.4, Stata 12.0 and RevMan 5.2 softwares. The pooled sensitivity, specificity and diagnostic odds ratio were calculated, the summary receiver operating characteristic curve (SROC) was drawn and the area under the curve (AUC) was calculated. Results Seventeen studies involving 2 052 patients were included. The pooled sensitivity, specificity, DOR were 0.63 (95%CI 0.60 to 0.67), 0.92 (95%CI 0.90 to 0.93) and 26.62 (95%CI 14.96 to 47.38), respectively. The AUC and Q index were 0.915 1 and 0.847 8, respectively. Conclusion The current evidence indicates that mesothelin has high specificity and low sensitivity, which can’t be used alone as a biomarker for the detection of ovarian cancer, but should be combined with other biomarkers.
The infection of Hepatitis B virus (HBV) can result in severe consequences, including chronic hepatitis, liver fibrosis, cirrhosis, and even liver cancer. Effective antiviral treatment has the potential to slow down the progression of the disease. HBV serum biomarkers play a crucial role in the dynamic management of chronic hepatitis B (CHB) patients. However, the conventional hepatitis B virus markers, such as hepatitis B serologic testing and HBV DNA, are insufficient to meet the clinical requirements. This review provided a comprehensive overview of the current research on the quantification of HBsAg and anti-HBc, HBV RNA and HBV core-associated antigen, which summarized the crucial role these markers play in the administration of antiviral medications, predicting the efficacy of treatment and anticipating the likelihood of virologic rebound following drug cessation, as well as assessing disease progression in CHB patients.
ObjectiveThe aim of this meta-analysis and systematic review is to assess the effectiveness of microRNAs as a diagnostic tool for individuals with epilepsy. MethodsA systematic search of PubMed, EMBASE, the Cochrane Library, and Web of Science databases was performed to collect literature on miRNA diagnosis of epilepsy up to January 1, 2024. Two researchers independently screened and extracted the literature and resolved discrepancies by negotiation. The QUADAS-2 evaluation tool was used to assess the quality of the included studies. Statistical analysis was performed using Review Manager 5.4, Meta-Disc 1.4, and Stata 17.0. Results A total of 17 papers were included, including 942 patients with epilepsy and 932 healthy controls. miRNA in the diagnosis of epilepsy had a combined sensitivity of 0.76 [95%CI (0.71, 0.79)], combined specificity of 0.78 [95%CI (0.74, 0.82)], and area under the SROC curve of 0.84 [95%CI (0.80, 0.87)]. Subgroup analysis showed that miRNA had higher diagnostic value for temporal lobe epilepsy, especially medial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). ConclusionThe study suggests that miRNA may be a promising tool for the diagnosis of epilepsy, especially temporal lobe epilepsy, but more high-quality studies are needed to support it.
Lung cancer is the leading cause of cancer-related deaths worldwide. Despite growing efforts for its early detection by screening populations at risk, the majority of lung cancer patients are still diagnosed in an advanced stage. In the last decade, the treatment of non-small cell lung cancer (NSCLC) has been improved significantly. Emerging options of targeted therapies and immunotherapies have shifted the management of lung cancer to a more personalized treatment approach, significantly influencing the clinical course and outcome of the disease. At present, molecular biomarkers are becoming a powerful tool for diagnosing cancer, predicting treatment response outcomes, and assessing prognosis. In this review, we summarized the biomarkers relevant to the diagnosis, prediction, and prognosis of NSCLC as well as promising novel predictive biomarkers in the future.
Pulmonary lymphangioleiomyomatosis (PLAM) is a rare chronic multi-system neoplastic disease that occurs in women of childbearing age. It lacks specific clinical manifestations and requires reliable biomarkers to achieve precise management. In recent years, with the emergence of emerging biomarkers, the detection rate of PLAM has been significantly improved, which can better monitor disease progression and provide timely feedback on the efficacy. These emerging biomarkers mainly include vascular endothelial growth factor-D, vitamin D-binding protein, CT score and prostaglandins. This article will focus on the current research results, and summarize the research progress of emerging biomarkers in PLAM diagnosis, prognosis evaluation, and disease monitoring, aiming to provide new ideas for the research and treatment of PLAM.
As emerging means of cancer treatment, immunotherapy is the fourth major therapeutic strategy after surgery, chemoradiotherapy, and targeted therapy, which benefits patients a lot. It has been more than 100 years for the medical community exploring how to harness the immune system to fight cancer. Since the advent of ipilimumab in 2011, the first checkpoint inhibitor, cancer immunotherapy represented by checkpoint inhibitors has exploded. Several programmed death protein-1 and programmed cell death ligand-1 inhibitors have successively been approved to treat advanced non-small cell lung cancer in the second-line setting or even the first-line setting. But checkpoint inhibitors therapy has only achieved limited benefit at the present stage. Exploring potential predictive biomarkers and mechanisms of resistance are in need of further consideration to optimize immunotherapy.
Lung cancer is a malignant tumor with the highest incidence and mortality in China. Early diagnosis and early treatment is the key to improve the survival and prognosis of patients with lung cancer. In recent years, many studies have focused on biomarkers of lung cancer. Emerging biomarkers tests have shown some potential in lung cancer screening. Combining biomarkers, imaging omics and artificial intelligence to establish a comprehensive model for lung cancer screening and prediction may be the development direction for improving lung cancer screening in the future. This paper summarizes the application of biomarkers in lung cancer screening, introduces the emerging biomarkers and new technologies, and discusses the application prospects of biomarkers in lung cancer screening, in order to providea theoretical basis for improving screening, early diagnosis and early treatment of lung cancer.