• Title/Summary/Keyword: cancer-specific biomarker

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Long noncoding RNA involvement in cancer

  • Maruyama, Reo;Suzuki, Hiromu
    • BMB Reports
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    • v.45 no.11
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    • pp.604-611
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    • 2012
  • Recent advances in genome and transcriptome analysis have enabled identification of numerous members of a new class of noncoding RNA, long noncoding RNA (lncRNA). lncRNAs are broadly defined as RNA molecules greater than 200 nt in length and lacking an open reading frame. Recent studies provide evidence that lncRNAs play central roles in a wide range of cellular processes through interaction with key component proteins in the gene regulatory system, and that alteration of their cell- or tissue-specific expression and/or their primary or secondary structures is thought to promote cell proliferation, invasion and metastasis. The biological and molecular characteristics of the large majority of lncRNAs remains unknown, and it is anticipated that improved understanding of the roles played by lncRNAs in cancer will lead to the development of novel biomarkers and effective therapeutic strategies.

Classification of Genes Based on Age-Related Differential Expression in Breast Cancer

  • Lee, Gunhee;Lee, Minho
    • Genomics & Informatics
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    • v.15 no.4
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    • pp.156-161
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    • 2017
  • Transcriptome analysis has been widely used to make biomarker panels to diagnose cancers. In breast cancer, the age of the patient has been known to be associated with clinical features. As clinical transcriptome data have accumulated significantly, we classified all human genes based on age-specific differential expression between normal and breast cancer cells using public data. We retrieved the values for gene expression levels in breast cancer and matched normal cells from The Cancer Genome Atlas. We divided genes into two classes by paired t test without considering age in the first classification. We carried out a secondary classification of genes for each class into eight groups, based on the patterns of the p-values, which were calculated for each of the three age groups we defined. Through this two-step classification, gene expression was eventually grouped into 16 classes. We showed that this classification method could be applied to establish a more accurate prediction model to diagnose breast cancer by comparing the performance of prediction models with different combinations of genes. We expect that our scheme of classification could be used for other types of cancer data.

The Fluorescence Immunoassay of lung Cancer Serum Diomarkers using Quantum dots

  • Kang, Ji-Min;Ahn, Jin-Seok;Kim, Jin-Hoon;Kong, Won-Ho;Park, Keun-Chil;Kim, Won-Seog;Seo, Soo-Won
    • Journal of Biomedical Engineering Research
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    • v.30 no.2
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    • pp.122-128
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    • 2009
  • Cancer serum biomarkers have advanced our ability to more accurately predict tumor classification, prognostic/metastatic potential, and response potential to novel chemotherapies. Serum amyloid A (SAA) and Vascular endothelial growth factor (VEGF) have potential utility as a serum biomarker for lung cancer. Quantum dots, nanometer-sized crystals, have a high quantum yield, sensitivity, and pronounced photostability. The properties of quantum dots can be efficiently applied to the detection of serum biomarkers in immunoassays as fluorescent probe. We used quantum dots as fluorescent probes in immunoassays and attempted to detect serum amyloid A and vascular endothelial growth factor as serum biomarkers of lung cancer. This fluorescence immunoassay based on the properties of quantum dots is applicable to the detection of serum biomarkers for lung cancer. The fluorescence immunoassay with quantum dots should allow the efficient and specific detection of serum amyloid A (SAA) for the possible diagnosis of lung cancer.

MicroRNAs in Colorectal Cancer: from Diagnosis to Targeted Therapy

  • Orang, Ayla Valinezhad;Barzegari, Abolfazl
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.17
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    • pp.6989-6999
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    • 2014
  • Colorectal cancer (CRC) is one of the major healthcare problems worldwide and its processes of genesis include a sequence of molecular pathways from adenoma to carcinoma. The discovery of microRNAs, a subset of regulatory non-coding RNAs, has added new insights into CRC diagnosis and management. Together with several causes of colorectal neoplasia, aberrant expression of oncomiRs (oncogenic and tumor suppressor miRNAs) in cancer cells was found to be indirectly result in up- or down-regulation of targeted mRNAs specific to tumor promoter or inhibitor genes. The study of miRNAs as CRC biomarkers utilizes expression profiling methods from traditional tissue samples along with newly introduced non-invasive samples of faeces and body fluids. In addition, miRNAs could be employed to predict chemo- and radio-therapy responses and be manipulated in order to alleviate CRC characteristics. The scope of this article is to provide a comprehensive review of scientific literature describing aberrantly expressed miRNAs, and consequently dysregulation of targeted mRNAs along with the potential role of miRNAs in CRC diagnosis and prognosis, as well as to summarize the recent findings on miRNA-based manipulation methods with the aim of advancing in anti-CRC therapies.

Emerging Targets for Systemic Treatment of Gastric Cancer: HER2 and Beyond

  • In-Ho Kim
    • Journal of Gastric Cancer
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    • v.24 no.1
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    • pp.29-56
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    • 2024
  • In recent years, remarkable progress has been made in the molecular profiling of gastric cancer. This progress has led to the development of various molecular classifications to uncover subtype-specific dependencies that can be targeted for therapeutic interventions. Human epidermal growth factor receptor 2 (HER2) is a crucial biomarker for advanced gastric cancer. The recent promising results of novel approaches, including combination therapies or newer potent agents such as antibody-drug conjugates, have once again brought attention to anti-HER2 targeted treatments. In HER2-negative diseases, the combination of cytotoxic chemotherapy and programmed cell death-1/programmed cell death ligand-1 (PD-1/PD-L1) inhibitors has become the established standard of care in first-line settings. In the context of gastric cancer, potential biomarkers such as PD-L1 expression, Epstein-Barr virus, microsatellite instability, and tumor mutational burden are being considered for immunotherapy. Recently, promising results have been reported in studies on anti-Claudin18.2 and fibroblast growth factor receptor 2 treatments. Currently, many ongoing trials are aimed at identifying potential targets using novel approaches. Further investigations will be conducted to enhance the progress of these therapies, addressing challenges such as primary and acquired resistance, tumor heterogeneity, and clonal evolution. We believe that these efforts will improve patient prognoses. Herein, we discuss the current evidence of potential targets for systemic treatment, clinical considerations, and future perspectives.

Identification of Pancreatic Cancer in Biliary Obstruction Patients by FRY Site-specific Methylation

  • Angsuwatcharakon, Phonthep;Rerknimitr, Rungsun;Kongkam, Pradermchai;Ridtitid, Wiriyaporn;Ponauthai, Yuwadee;Srisuttee, Ratakorn;Kitkumthorn, Nakarin;Mutirangura, Apiwat
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.9
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    • pp.4487-4490
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    • 2016
  • Background: Methylation at cg 16941656 of FRY is exclusively found in normal pancreatic tissue and has been proven to be specific for pancreatic-in-origin among several adenocarcinomas. Here, we investigated methylated DNA in the bile as a biomarker to differentiate the cause of obstruction between pancreatic cancer and benign causes. Materials and Methods: Bile samples of 45 patients with obstructive jaundice who underwent ERCP were collected and classified into pancreatic cancer (group 1) and benign causes (group 2) in 24 and 21 patients, respectively. DNA was extracted from bile and bisulfite modification was performed. After, methylation in cg 16941656 of FRY was identified by real-time PCR, with beta-actin used as a positive control. Results: Methylated DNA was identified in 10/24 (41.67%) and 1/21 (4.8%) of cases in groups 1 and 2, respectively (P= 0.012). The sensitivity, specificity, positive predictive value and negative predictive value to differentiate pancreatic cancer from benign causes were 42%, 95%, 91%, and 59%, respectively. Conclusions: Detecting a methylation at cg 16941656 of FRY in bile has high specificity, with an acceptable positive likelihood rate, and may therefore be helpful in distinguish pancreatic cancer from benign strictures.

Effect of Various Levels of Dietary Fat on Cell Proliferation of Rat Colon (식이지방의 양적 변화가 대장 상피세포 증식에 미치는 영향)

  • 이중희
    • Journal of Nutrition and Health
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    • v.32 no.4
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    • pp.394-400
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    • 1999
  • Since it has generally been considered that high-hat diets promote carcinogenesis, fat intake of less than 30% of total calories has been recommended to reduce the risk of cancer. Specific dietary guidelines for fat intake to reduce the risk of colon cancer have not yet been established. In order to determine the level of dietary fat needed the risk of colon cancer, rats were fed one of four experimental fat diets, very low(7% of total calories from corn oil, VLC), low(15% LC), medium (30%, MC), and high fat(45%, HC). Cell proliferation as an intermediate biomarker of color carcinogenesis was measured by the in vivo incorporation of bromodeoxyuridine into DNA. Fecal lipid excretion was measured by gravimetric method. As fat levels in the diet increased, fecal lipid concentrations also increased (VLC

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Rapid Screening of Phospholipid Biomarker Candidates from Prostate Cancer Urine Samples by Multiple Reaction Monitoring of UPLC-ESI-MS/MS and Statistical Approaches

  • Lim, Sangsoo;Bang, Dae Young;Rha, Koon Ho;Moon, Myeong Hee
    • Bulletin of the Korean Chemical Society
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    • v.35 no.4
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    • pp.1133-1138
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    • 2014
  • Ultrahigh performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI- MS/MS) provides a high-speed method to screen a large number of samples for small molecules with specific properties. In this study, UPLC-ESI-MS/MS with multiple reaction monitoring (MRM) was employed to screen urinary phospholipid (PL) content for biomarkers of prostate cancer. From lists of urinary PLs structurally identified using nanoflow LC-ESI-MS/MS, 52 PL species were selected for quantitative analysis in urine samples between 22 cancer-free urologic patients as controls and 45 prostate cancer patients. Statistical treatment of data by receiver operating characteristic (ROC) analysis yielded 14 PL species that differed significantly in relative concentrations (area under curve (AUC) > 0.8) between the two groups. Among PLs present at higher levels in prostate cancer urine, phosphatidylcholines (PCs) and phosphatidylinositols (PIs) constituted the major head group PLs (3 PCs and 7 PIs). For technical reasons, PL species of low abundance may be underrepresented in data from UPLC-ESI-MS/MS performed in MRM mode. However, the proposed method enables the rapid screening of large numbers of plasma or urine samples in the search for biomarkers of human disease.

Branched N-glycans and their implications for cell adhesion, signaling and clinical applications for cancer biomarkers and in therapeutics

  • Taniguchi, Naoyuki;Korekane, Hiroaki
    • BMB Reports
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    • v.44 no.12
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    • pp.772-781
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    • 2011
  • Branched N-glycans are produced by a series of glycosyltransferases including N-acetylglucosaminyltransferases and fucosyltransferases and their corresponding genes. Glycans on specific glycoproteins, which are attached via the action of glycosyltransferases, play key roles in cell adhesion and signaling. Examples of this are adhesion molecules or signaling molecules such as integrin and E-cadherin, as well as membrane receptors such as the EGF and TGF-${\beta}$ receptors. These molecules also play pivotal roles in the underlying mechanism of a variety of disease such as cancer metastasis, diabetes, and chronic obstructive pulmonary disease (COPD). Alterations in the structures of branched N-glycans are also hall marks and are useful for cancer biomarkers and therapeutics against cancer. This mini-review describes some of our recent studies on a functional glycomics approach to the study of branched N-glycans produced by N-acetylglucosaminyltransferases III, IV, V and IX (Vb) (GnT-III, GnT-IV, V and IX (Vb)) and fucosyltransferase 8 (Fut8) and their pathophysiological significance, with emphasis on the importance of a systems glycobiology approach as a future perspective for glycobiology.

Expression of miR-29a in whole Blood of Patients with Colorectal Neoplasm

  • Hwang, Dasom;Kim, Dahye;Chang, Yunhee;Hirgo, Workneh Korma;Lee, Hyeyoung
    • Biomedical Science Letters
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    • v.27 no.4
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    • pp.216-222
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    • 2021
  • Colorectal cancer (CRC) is major cancer with high incidence and mortality worldwide. It is known that most CRCs arise from precursor adenomatous polyps (APs). Recently, microRNA (miRNA) has been proposed as a biomarker for various cancers including CRC. In this study, the expression patterns of miR-29a in the whole blood (WB) of CRC, AP, and control groups were analyzed by reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) to evaluate the expression level of miR-29a in patients with colorectal neoplasm (CRN) including CRC and AP. As a result, the relative expression of miR-29a was significantly decreased in the patients with CRN compared to the control group (P<0.001). The results were in agreement with previous in vitro cell studies and studies that used tissue and feces samples, suggesting that miR-29a in WB may be useful in demonstrating the status of colorectal tissue. Additionally, we divided the control group into healthy control (HC) without any colorectal symptoms and non-tumor control (NTC) with colorectal symptoms but without any CRN. And then the relative expression of miR-29a was also significantly decreased in the NTC group compared to the HC group (P<0.001). Therefore, our study revealed that miR-29a can differentiate patients with CRN from HC group, but they are also involved in the early stage of inflammatory response and cannot be specific biomarkers for CRN.