• Title/Summary/Keyword: Clinical biomarker

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Tissue proteomics for cancer biomarker development - Laser microdissection and 2D-DIGE -

  • Kondo, Tadashi
    • BMB Reports
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    • 제41권9호
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    • pp.626-634
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    • 2008
  • Novel cancer biomarkers are required to achieve early diagnosis and optimized therapy for individual patients. Cancer is a disease of the genome, and tumor tissues are a rich source of cancer biomarkers as they contain the functional translation of the genome, namely the proteome. Investigation of the tumor tissue proteome allows the identification of proteomic signatures corresponding to clinico-pathological parameters, and individual proteins in such signatures will be good biomarker candidates. Tumor tissues are also a rich source for plasma biomarkers, because proteins released from tumor tissues may be more cancer specific than those from non-tumor cells. Two-dimensional difference gel electrophoresis (2D-DIGE) with novel ultra high sensitive fluorescent dyes (CyDye DIGE Fluor satulation dye) enables the efficient protein expression profiling of laser-microdissected tissue samples. The combined use of laser microdissection allows accurate proteomic profiling of specific cells in tumor tissues. To develop clinical applications using the identified biomarkers, collaboration between research scientists, clinicians and diagnostic companies is essential, particularly in the early phases of the biomarker development projects. The proteomics modalities currently available have the potential to lead to the development of clinical applications, and channeling the wealth of produced information towards concrete and specific clinical purposes is urgent.

Blood Eosinophil Counts in Chronic Obstructive Pulmonary Disease: A Biomarker of Inhaled Corticosteroid Effects

  • Singh, Dave
    • Tuberculosis and Respiratory Diseases
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    • 제83권3호
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    • pp.185-194
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    • 2020
  • Blood eosinophil counts have emerged as a chronic obstructive pulmonary disease (COPD) biomarker that predict the effects of inhaled corticosteroids (ICS) in clinical practice. Post-hoc and prospective analysis of randomized control trials have shown that higher blood eosinophil counts at the start of the study predict a greater response to ICS. COPD patients with frequent exacerbations (2 or more moderate exacerbations/yr) or a history of hospitalization have a greater response to ICS. Ex-smokers also appear to have a greater ICS response. Blood eosinophil counts can be combined with clinical information such as exacerbation history and smoking status to enable a precision medicine approach to the use of ICS. Higher blood eosinophil counts are associated with increased eosinophilic lung inflammation, and other biological features that may contribute to the increased ICS response observed. Emerging data indicates that lower blood eosinophil counts are associated with an increased risk of bacterial infection, suggesting complex relationships between eosinophils, ICS response, and the airway microbiome.

Dynamic MRM Measurements of Multi-Biomarker Proteins by Triple-Quadrupole Mass Spectrometry with Nanoflow HPLC-Microfluidics Chip

  • Ji, Eun-Sun;Cheon, Mi-Hee;Lee, Ju-Yeon;Yoo, Jong-Shin;Jung, Hyun-Jin;Kim, Jin-Young
    • Mass Spectrometry Letters
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    • 제1권1호
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    • pp.21-24
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    • 2010
  • The development of clinical biomarkers involves discovery, verification, and validation. Recently, multiple reaction monitoring (MRM) coupled with stable isotope dilution mass spectrometry (IDMS) has shown considerable promise for the direct quantification of proteins in clinical samples. In particular, multiple biomarkers have been tracked in a single experiment using MRM-based MS approaches combined with liquid chromatography. We report here a highly reproducible, quantitative, and dynamic MRM system for validating multi-biomarker proteins using Nanoflow HPLC-Microfluidics Chip/Triple-Quadrupole MS. In this system, transitions were acquired only during the retention window of each eluting peptide. Transitions with the highest MRM-MS intensities for the five target peptides from colon cancer biomarker candidates were automatically selected using Optimizer software. Relative to the corresponding non-dynamic system, the dynamic MRM provided significantly improved coefficients of variation in experiments with large numbers of transitions. Linear responses were obtained with concentrations ranging from fmol to pmol for five target peptides.

Ginsenosides: the need to move forward from bench to clinical trials

  • Yu, Seung Eun;Mwesige, Benjamin;Yi, Young-Su;Yoo, Byong Chul
    • Journal of Ginseng Research
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    • 제43권3호
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    • pp.361-367
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    • 2019
  • Panax ginseng, known as Koran ginseng, one of the most commonly used traditional plants, has been demonstrated to show a wide range of pharmacological applications. Ginsenosides are the major active ingredients found in ginseng and are responsible for the biological and pharmacological activities, such as antioxidation, antiinflammation, vasorelaxation, and anticancer actions. Existing studies have mostly focused on identifying and purifying single ginsenosides and investigating pharmacological activities and molecular mechanisms in cells and animal models. However, ginsenoside studies based on clinical trials have been very limited. Therefore, this review aimed to discuss the currently available clinical trials on ginsenosides and provide insights and future directions for developing ginsenosides as efficacious and safe drugs for human disease.

HE4 as a Serum Biomarker for ROMA Prediction and Prognosis of Epithelial Ovarian Cancer

  • Chen, Wen-Ting;Gao, Xiang;Han, Xiao-Dian;Zheng, Hui;Guo, Lin;Lu, Ren-Quan
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권1호
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    • pp.101-105
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    • 2014
  • Background and Purpose: Human epididymis protein 4 (HE4) has been suggested to be a novel biomarker of epithelial ovarian cancer (EOC). The present study aimed to evaluate and compare HE4 with the commonly used marker, carbohydrate antigen 125 (CA125), in prediction and therapy-monitoring of EOC. Patients and Methods: Serum HE4 concentrations from 123 ovarian cancer patients and 174 controls were measured by Roche electrochemiluminescent immunoassay (ECLIA). Risk of ovarian malignancy algorithm (ROMA) values were calculated and assessed. In addition, the prospects of HE4 detection for therapy-monitoring were evaluated in EOC patients. Results: The ROMA score could classify patients into high- and low-risk groups with malignancy. Indeed, lower serum HE4 was significantly associated with successful surgical therapy. Specifically, 38 patients with EOC exhibited a greater decline of HE4 compared with CA125. In contrast, elevation of HE4 better predicted recurrence (of 46, 11 patients developed recurrence, and with it increased HE4 serum concentrations) and a poor prognosis than CA125. Conclusions: This study suggests that serum HE4 levels are closely associated with outcome of surgical therapy and disease prognosis in Chinese EOC patients.

Overexpressed Ostepontin-c as a Potential Biomarker for Esophageal Squamous Cell Carcinoma

  • Zhang, Mei-Xiang;Xu, Yi-Jun;Zhu, Ming-Chen;Yan, Feng
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권12호
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    • pp.7315-7319
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    • 2013
  • Background: The metastasis gene osteopontin (OPN) is subject to alternative splicing, which yields three messages, osteopontin-a, osteopontin-b and osteopontin-c. Osteopontin-c is selectively expressed in invasive, but not in noninvasive tumors. In the present study, we examined the expression of OPN-c in esophageal squamous cell carcinomas (ESCCs) and assessed its value as a diagnostic biomarker. Methods: OPN-c expression was assessed by immunohistochemistry in 63 ESCC samples and correlated with clinicopathologic factors. Expression was also examined in peripheral blood mononuclear cells (PBMCs) from 120 ESCC patients and 30 healthy subjects. The role of OPN-c mRNA as a tumor marker was investigated by receiver operating characteristic curve (ROC) analysis. Results: Immunohistochemistry showed that OPN-c was expressed in 30 of 63 cancer lesions (48%)and significantly associated with pathological T stage (P=0.038) and overall stage (P=0.023). Real time PCR showed that OPN-c mRNA was expressed at higher levels in the PBMCs of ESCC patients than in those of healthy subjects (P<0.0001) with a sensitivity as an ESCC biomarker of 86.7%. Conclusion: Our findings suggest that expression of OPN-c is significantly elevated in ESCCs and this upregulation could be a potential diagnostic marker.

Responses of Various Biomarkers in Common Carp (Cyprinus carpio) Exposed to Benzo[k]fluoranthene

  • Kim, Woo-Keun;Kim, Ja-Hyun;Yeom, Dong-Hyuk;Lee, Sung-Kyu
    • 생태와환경
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    • 제41권3호
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    • pp.331-337
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    • 2008
  • Polycyclic aromatic hydrocarbons (PAHs) derived from leakage of fossil fuels and incomplete combustion of organic materials have been considered as harmful contaminants in environments. This study evaluated the effect of benzo[k]fluoranthene (BkF), one of the PAHs, using the multiple biomarkers and applied the integration model with those biomarker responses. After 10 days of the exposure at the measured concentrations of BkF (6, 25, and 45 ${\mu}g\;L^{-1}$), the changes of the four biomarkers, that is, 7-ethoxyresorufin-O-deethylase (EROD), DNA single-strand breaks (Comet), acetylcholinesterase (AChE) and vitellogenin (VTG) in the common carp (Cyprinus carpio) were observed. The standardized values of four biomarker responses were computed and integrated as star plots, representing Integrated Biomarker Respnse (IBR) values. DNA damage was induced in a dose-dependent manner, and increased significantly compared with that in the control. EROD and VTG levels were significantly elevated at low concentrations of BkF. On the other hand, AChE activities were not altered by BkF. IBR values increased as the exposure concentrations increased. Thus, the metabolic, endocrine and genetic changes of the biomarker responses in the common carp exposed to BkF should be considered in the case of the ecological risk assessment of the BkF in fish and it can be used as a biomonitoring tool in aquatic ecosystems. In addition, star plots can be used as a useful analysis tool in multibiomarker integration approach.

R을 이용한 결과 변수에 따른 최적의 Cut-off Point 결정 (Determining the Optimal Cut-off Point According to the Outcome Variables Using R)

  • 양주연;이혜선
    • Journal of Digestive Cancer Research
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    • 제10권2호
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    • pp.99-106
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    • 2022
  • Clinical research ultimately aimed to promptly diagnose and prevent diseases through precise biomarker development. Finding the optimal cut-off point of a regularly measured biomarker can help its interpretation and ultimately help in disease investigation and diagnosis, more specifically in determining the presence of diseases. Therefore, this study aimed to use the characteristics of outcome variables in clinical research to explain how to determine the optimal cutoff point. The outcome variables can be divided into dichotomous, ordinal, and survival types. The optimal cut-off point can be determined by finding points that maximize the Youden index, extended Youden index, and log-rank statistics. This study will enable clinical researchers to accurately determine the optimal cut-off points for regularly measured biomarkers, thereby enabling prompt disease diagnosis for effective treatment.

Increased Free Circulating DNA Integrity Index as a Serum Biomarker in Patients with Colorectal Carcinoma

  • El-Gayar, Dina;El-Abd, Nevine;Hassan, Noha;Ali, Reem
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권3호
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    • pp.939-944
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    • 2016
  • Background: Cell-free DNA circulating in blood is a candidate biomarker for malignant tumors. Unlike uniformly truncated DNA released from apoptotic non diseased cells, DNA released from necrotic cancer cells varies in size. Objectives: To measure the DNA integrity index in serum and the absolute DNA concentration to assess their clinical utility as potential serum biomarkers for colorectal carcinoma (CRC) compared to CEA and CA19-9. Materials and Methods: Fifty patients with CRC, 10 with benign colonic polyps and 20 healthy sex and age matched volunteers, were investigated by real time PCR of ALU repeats (ALU q-PCR) using two sets of primers (115 and 247 bp) amplifying different lengths of DNA fragments. The DNA integrity index was calculated as the ratio of q-PCR results of ALU 247/ALU 115bp. Results: Serum DNA integrity was statistically significantly higher in CRC patients compared to the benign and control groups (p<0.001). ROC curves for differentiating CRC patients from normal controls and benign groups had areas under curves of 0.90 and 0.85 respectively. Conclusions: The DNA integrity index is superior to the absolute DNA concentration as a potential serum biomarker for screening and diagnosis of CRC. It may also serve as an indicator for monitoring the progression of CRC patients. Combining CEA and CA19-9 with either of the genetic markers studied is better than either of them alone.

C-Reactive Protein a Promising Biomarker of COVID-19 Severity

  • Fazal, Muntaha
    • 대한임상검사과학회지
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    • 제53권3호
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    • pp.201-207
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    • 2021
  • The 2019 coronavirus outbreak poses a threat to scientific, societal, financial, and health resources. The complex pathogenesis of severe acute respiratory syndrome coronavirus centers on the unpredictable clinical progression of the disease, which may evolve abruptly and result in critical and life-threatening clinical complications. Effective clinical laboratory biomarkers that can classify patients according to risk are essential for ensuring timely treatment, and an analysis of recently published studies found cytokine storm and coagulation disorders were leading factors of severe COVID-19 complications. The following inflammatory, biochemical, and hematology biomarkers markers have been identified in COVID-19 patients; neutrophil to lymphocyte ratio, c-reactive protein, procalcitonin, urea, liver enzymes, lactate dehydrogenase, serum amyloid A, cytokines, d-dimer, fibrinogen, ferritin, troponin, creatinine kinase, and lymphocyte, leukocyte, and platelet counts. These factors are predictors of disease severity and some are involved in the pathogenesis of COVID-19. CRP is an acute-phase, non-specific serological biomarker of inflammation and infection and is related to disease severities and outcomes. In the present study, CRP levels were found to rise dramatically among COVID-19 patients, and our findings suggest CRP could be utilized clinically to predict COVID-19 prognosis and severity even before disease progression and the manifestation of clinical symptoms.