• Molecules and Cells
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• 제38권7호
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• pp.624-629
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• 2015

Since the emergence of proteomics methods, many proteins specific for renal cell carcinoma (RCC) have been identified. Despite their usefulness for the specific diagnosis of RCC, such proteins do not provide spatial information on the diseased tissue. Therefore, the identification of cancer-specific proteins that include information on their specific location is needed. Recently, matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) based imaging mass spectrometry (IMS) has emerged as a new tool for the analysis of spatial distribution as well as identification of either proteins or small molecules in tissues. In this report, surgical tissue sections of papillary RCC were analyzed using MALDI-IMS. Statistical analysis revealed several discriminative cancer-specific m/z-species between normal and diseased tissues. Among these m/z-species, two particular proteins, S100A11 and ferritin light chain, which are specific for papillary RCC cancer regions, were successfully identified using LC-MS/MS following protein extraction from independent RCC samples. The expressions of S100A11 and ferritin light chain were further validated by immunohistochemistry of human tissues and tissue microarrays (TMAs) of RCC. In conclusion, MALDI-IMS followed by LC-MS/MS analysis in human tissue identified that S100A11 and ferritin light chain are differentially expressed proteins in papillary RCC cancer regions.

• Asian Pacific Journal of Cancer Prevention
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• 제15권22호
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• pp.9955-9960
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• 2014

Background: Promoter hypermethylation is a common event in human cancer. O6-methylguanine-DNA methyltransferase (MGMT) is a gene involved in DNA repair, which is methylated in a variety of cancers. We aimed to explore the methylation status of MGMT gene among the North Eastern population where esophageal cancer incidence and exposure to carcinogens like nitrosamines is high. Materials and Methods: A total of 100 newly diagnosed esophageal cancer cases along with equal number of age, sex and ethnicity matched controls were included in this study. Methylation specific PCR was used to determine the MGMT methylation status in serum samples. Results: Aberrant promoter methylation of the MGMT gene was detected in 70% of esophageal cancer cases. Hypermethylation of MGMT gene was found to be influenced by environmental factors like betel quid and tobacco which contain potent carcinogens like nitrosamines. Tobacco chewing and tobacco smoking habit synergistically with MGMT methylation elevated the risk for esophageal cancer development [adjusted OR=5.02, 95% CI=1.35-18.74; p=0.010 for tobacco chewing and Adjusted OR=3.00, 95% CI=1.22-7.36; p=0.014 for tobacco smoking]. Conclusions: Results suggest that the DNA hypermethylation of MGMT is an important mechanism for MGMT gene silencing resulting in esophageal cancer development and is influenced by the environmental factors. Thus MGMT hypermethylation can be used as a biomarker for esophageal cancer in high incidence region of North East India.

• Asian Pacific Journal of Cancer Prevention
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• 제14권12호
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• pp.7433-7438
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• 2013

Aim: To identify new biomarkers for NPC diagnosis with an anti-EBV Western blot test kit. Methods: Serum samples from 64 NPC patients and healthy subjects with four specific VCA-IgA/EA-IgA profiles were tested with an anti-EBV Western blot test kit from EUROIMMUN AG. Proteins were quantified with scores of intensity visually assigned to the protein bands. The markers which showed statistical differences between the NPC and non-NPC subjects were further evaluated in another 32 NPC patients and 32 controls in comparison with established biomarkers including VCA-IgA, EA-IgA, EBV-related protein IgG, and EBV DNA. Results: Among the markers screened, EA-D p45-IgG showed a statistically significant difference (p < 0.05) between NPC and non-NPC subjects with VCA-IgA positivy. In 32 VCA-IgA positive NPC patients and 32 control subjects, the diagnostic accuracy of EA-D p45-IgG was 78.1% with a positive predictive value of 77.8% and a negative predictive value of 78.6%. In the verification experiment, the specificity and sensitivity of EA-D p45-IgG were 75.0% and 90.6 %, respectively. Conclusions: EA-D p45-IgG might be a potential biomarker for NPC diagnosis, especially among VCA-IgA positive subjects.

• Asian Pacific Journal of Cancer Prevention
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• 제17권9호
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• pp.4241-4246
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• 2016

Background: Dysregulation of miRNA expression may be used as a biomarker for specific tumours because it may contribute to development of cancer. Circulating miRNA profiles have been highlighted for their potential as predictive markers in heterogeneous diseases such as breast cancer. In the literature, there is evidence that miR-195 levels are differentially expressed pre- and post-operative periods in breast cancer patients. At the same time, miRNA expression levels may vary because of ethnic origins. This study aimed to determine expression levels and potential roles of miR-195 in Turkish breast cancer patients. Materials and Methods: The expression patterns of miR-195 were initially examined in breast cancer tissues (luminal A and B type) (n=96). Subsequently, blood samples were prospectively collected from preoperative and postoperative Turkish breast cancer patients and disease free controls. Total RNA was isolated, and the expression level of miR-195 was quantified by real-time PCR. Results: We found that miR-195 level was altered in Turkish breast cancer patients, with down-regulation evident in breast cancer tissues compared to normal adjacent specimens. Furthermore, circulating levels of miR-195 was significantly decreased in post-operative blood samples compared with pre-operative levels (p=0.01 and <0.05). However, miR-195 was significantly increased in pre-operative blood samples of the luminal B type (p=0.04 and <0.05). Conclusions: This study represents the first report of a miR-195 expression profile in Turkish breast cancer patients. Our data suggests that miR-195 levels might be a clinically useful biomarker in the earliest stage of Turkish breast cancer patients.

• Molecules and Cells
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• 제38권2호
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• pp.171-179
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• 2015

Prostatic acid phosphatase (PAP) expression increases proportionally with prostate cancer progression, making it useful in prognosticating intermediate to high-risk prostate cancers. A novel ligand that can specifically bind to PAP would be very helpful for guiding prostate cancer therapy. RNA aptamers bind to target molecules with high specificity and have key advantages such as low immunogenicity and easy synthesis. Here, human PAP-specific aptamers were screened from a 2'-fluoropyrimidine (FY)-modified RNA library by SELEX. The candidate aptamer families were identified within six rounds followed by analysis of their sequences and PAP-specific binding. A gel shift assay was used to identify PAP binding aptamers and the 6N aptamer specifically bound to PAP with a Kd value of 118 nM. RT-PCR and fluorescence labeling analyses revealed that the 6N aptamer bound to PAP-positive mammalian cells, such as PC-3 and LNCaP. IMR-90 negative control cells did not bind the 6N aptamer. Systematic minimization analyses revealed that 50 nucleotide sequences and their two hairpin structures in the 6N 2'-FY RNA aptamer were equally important for PAP binding. Renewed interest in PAP combined with the versatility of RNA aptamers, including conjugation of anti-cancer drugs and nano-imaging probes, could open up a new route for early theragnosis of prostate cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제15권21호
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• pp.9367-9373
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• 2014

In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are requentlyused lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.

• 공업화학
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• 제29권6호
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• pp.645-651
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• 2018

한국인의 암 사망률 1위를 차지하는 폐암은 발견되기 전까지 별다른 증상이 없어 환자는 병을 쉽게 인지하지 못하고, 기존의 진단법 또한 초기단계에는 적용이 어렵다. 해결책으로서, 분자수준에서의 체액분석을 폐암진단에 도입하는 방안이 제시되고 있다. 이를 위한 분석기기 가운데 대표적으로는 칩 기반 바이오센서가 있으며, 이 센서의 큰 장점으로는 고가의 분석장비나 숙련된 분석인력이 없이도 현장에서의 진단이 가능하다는 점이다. 본 미니총설에서는 폐암 진단에 활용가능한 혈액 내 바이오마커와 바이오칩 센서의 연구현황을 소개하고 이들의 발전가능성에 대해 논의하고자 한다.

• Mass Spectrometry Letters
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• 제9권2호
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• pp.51-55
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• 2018

Capture of non-glycoproteins during lectin affinity chromatography is frequently observed, although it would seem to be anomalous. In actuality, lectin affinity chromatography works at post-translational modification (PTM) sites on a glycoprotein which is not involved in protein-protein interactions (PPIs). In this study, serial affinity column set (SACS) using lectins followed by proteomics methods was used to identify PPI mechanisms of captured proteins in human plasma. MetaCore, STRING, Ingenuity Pathway Analysis (IPA), and IntAct were individually used to elucidate the interactions of the identified abundant proteins and to obtain the corresponding interaction maps. The abundant non-glycoproteins were captured with the binding to the selected glycoproteins. Therefore, depletion process in sample pretreatment for abundant protein removal should be considered with more caution because it may lose precious disease-related low abundant proteins through PPIs of the removed abundant proteins in human plasma during the depletion process in biomarker discovery. Glycoproteins bearing specific glycans are frequently associated with cancer and can be specifically isolated by lectin affinity chromatography. Therefore, SACS using Lycopersicon esculentum lectin (LEL) can also be used to study disease interactomes.

• The Korean Journal of Medicine
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• 제99권2호
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• pp.96-103
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• 2024

Lung cancer is the leading cause of cancer death in Republic of Korea. After their initial diagnosis, only 10-20% of patients with advanced non-small cell lung cancer (NSCLC) survive for 5 years of longer. Given enormous advances in therapeutics such as novel targeted therapies and immunotherapies, survival rates are improving for advanced patients with NSCLC; 5-year survival rates range from 15% to 50%, contingent upon the biomarker. Detection of the specific molecular alteration as biomarker is thus crucial for identifying subgroups of NSCLC that contain therpapeutically targetable oncogenic drivers. This review examines the process of diagnosing lung adenocarcinoma with dominant biomarkers in order to customize treatment with appropriate targeted therapy.

• Bulletin of the Korean Chemical Society
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• 제30권8호
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• pp.1827-1831
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• 2009

Ligand molecules that can recognize and interact with cancer cell surface marker proteins with high affinity and specificity should greatly aid the development of novel cancer diagnostics and therapeutics. HER-2/ErbB2/Neu (HER-2), a member of the epidermal growth factor receptor family, is specifically overexpressed on the surface of breast cancer cells and serves as both a useful biomarker and a therapeutic target for breast cancer. In this study, we aimed to isolate RNA aptamers that specifically bind to a HER-2-overexpressing human breast cancer cell line, SK-BR-3, using Cell-SELEX strategy. The selected aptamers showed strong affinity to SK-BR-3, but not to MDAMB- 231, a HER-2-underexpressing breast cancer cell line. In addition, we confirmed the specific targeting of HER-2 receptor by aptamers using an unrelated mouse cell line overexpressing human HER-2 receptor. The HER-2-targeting RNA aptamers could become a useful reagent for the development of breast cancer diagnostics and therapeutics.