scholarly journals Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 320
Author(s):  
Diana Nitusca ◽  
Anca Marcu ◽  
Alis Dema ◽  
Loredana Balacescu ◽  
Ovidiu Balacescu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Noncoding Rna ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Diagnostic Methods ◽  
Potential Candidate ◽  
Diagnostic Biomarkers ◽  
Potential Biomarker ◽  
Formalin Fixed Paraffin Embedded ◽  
Ffpe Tissues

Background: Prostate cancer (PCa) remains one of the leading causes of cancer-related mortality in men worldwide, mainly due to unsatisfactory diagnostic methods used at present, which lead to overdiagnosis, unnecessary biopsies and treatment, or misdiagnosis in early asymptomatic stages. New diagnostic biomarkers are needed for a correct and early diagnosis. Long noncoding RNAs (lncRNAs) have been broadly studied for their involvement in PCa biology, as well as for their potential role as diagnostic biomarkers. Methods: We conducted lncRNA profiling in plasma and microdissected formalin-fixed paraffin-embedded (FFPE) tissues of PCa patients and attempted validation for commonly dysregulated individual lncRNAs. Results: Plasma profiling revealed eight dysregulated lncRNAs, while microarray analysis revealed 717 significantly dysregulated lncRNAs, out of which only nuclear-enriched abundant transcript 1 (NEAT1) was commonly upregulated in plasma samples and FFPE tissues. NEAT1’s individual validation revealed statistically significant upregulation (FC = 2.101, p = 0.009). Receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) value of 0.7298 for NEAT1 (95% CI = 0.5812–0.8785), suggesting a relatively high diagnostic value, thus having a potential biomarker role for this malignancy. Conclusions: We present herein data suggesting that NEAT1 could serve as a diagnostic biomarker for PCa. Additional studies of larger cohorts are needed to confirm our findings, as well as the oncogenic mechanism of NEAT1 in the development of PCa.

scholarly journals Serum N-glycan profiling is a potential biomarker for castration-resistant prostate cancer

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Teppei Matsumoto ◽  
Shingo Hatakeyama ◽  
Tohru Yoneyama ◽  
Yuki Tobisawa ◽  
Yusuke Ishibashi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Area Under The Curve ◽  
Potential Candidate ◽  
Newly Diagnosed ◽  
Castration Resistant Prostate Cancer ◽  
Castration Resistant ◽  
Potential Biomarker ◽  
Quantitative Score ◽  
Glycan Profiling ◽  
Sensitivity Specificity

AbstractWe investigated the diagnostic and prognostic potential of serum N-glycan profiling for castration-resistant prostate cancer (CRPC). We retrospectively investigated serum N-glycan structural analysis by glycoblotting for 287 patients with benign prostatic hyperplasia (BPH), 289 patients with newly diagnosed prostate cancer (PC), 57 patients with PC treated with androgen-deprivation therapy without disease progression (PC-ADT), and 60 patients with CRPC. N-Glycan profiling was compared between the non-CRPC (BPH, newly diagnosed PC and PC-ADT) and CRPC patients. We obtained the quantitative score for CRPC (CRPC N-glycan score) by discriminant analysis based on the combination of 9 N-glycans that were significantly associated with CRPC. The median CRPC N-glycan score was found to be significantly greater in CRPC patients than in non-CRPC patients. The CRPC N-glycan score could classify CRPC patients with sensitivity, specificity, and area under the curve of 87%, 69%, and 0.88, respectively. The CRPC N-glycan score >1.7 points was significantly associated with poor prognosis in patients with CRPC. The glycoprotein analysis showed that not immunoglobulins but α-1-acid glycoprotein (AGP) were a potential candidate for the carrier protein of N-glycans. The overexpression of specific N-glycans may be associated with their castration-resistant status and be a potential biomarker for CRPC.

scholarly journals Sphingolipid Analysis Indicate Lactosylceramide as a Potential Biomarker of Inflammatory Bowel Disease in Children

Biomolecules ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1083
Author(s):  
Aleksandra Filimoniuk ◽  
Agnieszka Blachnio-Zabielska ◽  
Monika Imierska ◽  
Dariusz Marek Lebensztejn ◽  
Urszula Daniluk
Keyword(s):  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
High Performance ◽  
Area Under The Curve ◽  
Study Groups ◽  
Diagnostic Value ◽  
Serum Samples ◽  
Specificity And Sensitivity ◽  
Potential Biomarker ◽  
Inflammatory Bowel

An altered ceramide composition in patients with inflammatory bowel disease (IBD) has been reported recently. The aim of this study was to evaluate the concentrations of sphingolipids in the serum of treatment-naive children with newly diagnosed IBD and to determine the diagnostic value of the tested lipids in pediatric IBD. The concentrations of sphingolipids in serum samples were evaluated using a quantitative method, an ultra-high-performance liquid chromatography-tandem mass spectrometry in children with Crohn’s disease (CD) (n=34), ulcerative colitis (UC) (n = 39), and controls (Ctr) (n = 24). Among the study groups, the most significant differences in concentrations were noted for C16:0-LacCer, especially in children with CD compared to Ctr or even to UC. Additionally, the relevant increase in C20:0-Cer and C18:1-Cer concentrations were detected in both IBD groups compared to Ctr. The enhanced C24:0-Cer level was observed only in UC, while C18:0-Cer only in the CD group. The highest area under the curve (AUC), specificity, and sensitivity were determined for C16:0-LacCer in CD diagnosis. Our results suggest that the serum LacC16-Cer may be a potential biomarker that distinguishes children with IBD from healthy controls and differentiates IBD subtypes. In addition, C20:0-Cer and C18:0-Cer levels also seem to be closely connected with IBD.

scholarly journals NMR-Based Metabolomic Profiling of Urine: Evaluation for Application in Prostate Cancer Detection

2019 ◽  
Vol 14 (5) ◽  
pp. 1934578X1984997 ◽  
Author(s):  
Neil MacKinnon ◽  
Wencheng Ge ◽  
Peisong Han ◽  
Javed Siddiqui ◽  
John T. Wei ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Specific Antigen ◽  
Area Under The Curve ◽  
Clinical Test ◽  
H Nmr ◽  
Metabolomic Profiling ◽  
Potential Biomarker ◽  
Noninvasive Biomarker ◽  
Auc Value ◽  
Selection Of

Detection of prostate cancer (PCa) and distinguishing indolent versus aggressive forms of the disease is a critical clinical challenge. The current clinical test is circulating prostate-specific antigen levels, which faces particular challenges in cancer diagnosis in the range of 4 to 10 ng/mL. Thus, a concerted effort toward building a noninvasive biomarker panel has developed. In this report, the hypothesis that nuclear magnetic resonance (NMR)-derived metabolomic profiles measured in the urine of biopsy-negative versus biopsy-positive individuals would nominate a selection of potential biomarker signals was investigated. 1H NMR spectra of urine samples from 317 individuals (111 biopsy-negative, 206 biopsy-positive) were analyzed. A double cross-validation partial least squares-discriminant analysis modeling technique was utilized to nominate signals capable of distinguishing the two classes. It was observed that after variable selection protocols were applied, a subset of 29 variables produced an area under the curve (AUC) value of 0.94 after logistic regression analysis, whereas a “master list” of 18 variables produced a receiver operating characteristic ROC) AUC of 0.80. As proof of principle, this study demonstrates the utility of NMR-based metabolomic profiling of urine biospecimens in the nomination of PCa-specific biomarker signals and suggests that further investigation is certainly warranted.

scholarly journals Molecular Markers for Prostate Cancer in Formalin-Fixed Paraffin-Embedded Tissues

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Tamara Sequeiros ◽  
Marta García ◽  
Melania Montes ◽  
Mireia Oliván ◽  
Marina Rigau ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Molecular Markers ◽  
Tumor Grade ◽  
Developed Countries ◽  
Response To Therapy ◽  
Tissue Samples ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Ffpe Tissues ◽  
Formalin Fixed

Prostate cancer (PCa) is the most frequently diagnosed type of cancer in developed countries. The decisive method of diagnosis is based on the results of biopsies, morphologically evaluated to determine the presence or absence of cancer. Although this approach leads to a confident diagnosis in most cases, it can be improved by using the molecular markers present in the tissue. Both miRNAs and proteins are considered excellent candidates for biomarkers in formalin-fixed paraffin-embedded (FFPE) tissues, due to their stability over long periods of time. In the last few years, a concerted effort has been made to develop the necessary tools for their reliable measurement in these types of samples. Furthermore, the use of these kinds of markers may also help in establishing tumor grade and aggressiveness, as well as predicting the possible outcomes in each particular case for the different treatments available. This would aid clinicians in the decision-making process. In this review, we attempt to summarize and discuss the potential use of microRNA and protein profiles in FFPE tissue samples as markers to better predict PCa diagnosis, progression, and response to therapy.

scholarly journals Prognostic and diagnostic value of circRNA expression in colorectal carcinoma: a meta-analysis

2020 ◽  
Author(s):  
Jinpeng Yuan ◽  
Dongming Guo ◽  
Xinxin Li ◽  
Juntian Chen
Keyword(s):  
Colorectal Cancer ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Circular Rnas ◽  
Control Factors ◽  
Potential Biomarker ◽  
Negative Effect ◽  
Newcastle Ottawa Scale

Abstract Background: Circular RNAs (circRNAs) are new stars in the network of noncoding RNAs and are regarded as key control factors in numerous tumours. The purpose of our study was to evaluate the clinical, prognostic and diagnostic role of circRNAs in colorectal cancer. The quality of all the articles were assessed by the Newcastle‐Ottawa Scale. Methods: An online search in electronic databases, including the PubMed, Cochrane Library and Web of Science online databases, was conducted to identify as many relevant papers as possible. Nineteen relevant studies were enrolled in this meta-analysis, with seven on diagnosis, eight on prognosis and 11 on clinicopathological features. Results: For the diagnostic value of circRNAs, the pooled results showed that the area under the curve (AUC) was 0.82 for identifying patients with colorectal cancer, with a sensitivity of 83% and a specificity of 72%. In terms of prognosis, carcinogenic circRNAs have a negative effect on overall survival (OS: HR = 2.29, 95% CI: 1.50-3.52), and increases in tumour suppressor circRNA expression are associated with longer survival (OS: HR = 0.37, 95% CI: 0.22-0.64). And the elevated expression of oncogenic circRNAs is associated with poor clinical features while tumor suppressor circRNAs are the complete opposite. Conclusions: These results suggest that circRNAs may be a potential biomarker for the diagnosis and prognosis of colorectal cancer.

scholarly journals Tumor-Derived Exosomal Long Noncoding RNAs as Promising Diagnostic Biomarkers for Prostate Cancer

2018 ◽  
Vol 46 (2) ◽  
pp. 532-545 ◽  
Author(s):  
Yu-Hui Wang ◽  
Jia Ji ◽  
Bi-Cheng Wang ◽  
Hao Chen ◽  
Zhong-Hua Yang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Invasion ◽  
Operating Characteristic ◽  
Specific Antigen ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Healthy Individuals ◽  
Diagnostic Biomarkers ◽  
Non Invasive ◽  
Non Coding Rnas

Background/Aims: Exosomal circulating long non-coding RNAs (lncRNAs) in blood are emerging as clinically useful and non-invasive biomarkers for tumor diagnosis. However, normal cells can also secrete exosomes, so it is a prerequisite to obtain tumor-derived exosomes for better understanding of their diagnostic impacts in cancer. In this study, a dual-antibody-functionalized immunoaffinity system was established to isolate exosomes and investigate their lncRNAs expression pattern and clinical significance in prostate cancer (PCa). Methods: A commercially available kit was used to isolate total exosomes, which were then purified by a dual-antibody-functionalized immunoaffinity system. RT-qPCR was performed to detect the expression of exosomal lncRNAs. Receiver operating characteristic (ROC) curves were plotted to assess the diagnostic value. Results: Expression levels of two lncRNAs in tumor-derived exosomes were significantly higher than those in total exosomes. The levels of SAP30L-AS1 were upregulated in benign prostatic hyperplasia (BPH), and SChLAP1 levels were significantly higher in PCa than in BPH and healthy individuals. The area under the ROC curve indicated that SAP30L-AS1 and SChLAP1 had adequate diagnostic value to distinguish PCa from controls. Two lncRNAs separately combined with prostate specific antigen (PSA) possessed a moderate ability for discrimination. SAP30L-AS1 expression level was related to PSA values and tumor invasion. SChLAP1 expression was significantly higher in patients with higher Gleason scores, and was also effective in differentiating between BPH and PCa when the concentration of PSA was in the gray zone. Conclusion: The isolation of tumor-derived exosomes by dual-antibody-functionalized immunoaffinity systems and detection of their lncRNAs in plasma may lead to the identification of suitable biomarkers, with potential diagnostic utility.

scholarly journals Identification and Validation of Novel Serum Autoantibodies Biomarkers for Staging Liver Fibrosis in Patients With Chronic Hepatitis B

2022 ◽  
Vol 8 ◽  
Author(s):  
Saiping Qi ◽  
Jing Li ◽  
Xiaomin He ◽  
Jialing Zhou ◽  
Zhibin Chen ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Liver Fibrosis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Microarray Analysis ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Diagnostic Methods ◽  
Pre Treatment

Aim: Liver fibrosis monitoring is essential in patients with chronic hepatitis B (CHB). However, less robust, noninvasive diagnostic methods for staging liver fibrosis, other than liver biopsy, are available. Our previous study demonstrated a panel of cellular proteins recognized by autoantibodies that may have potential value in discrimination of CHB and liver cirrhosis. We aim to assess the diagnostic value of these serum autoantibodies for staging liver fibrosis.Methods: Candidate autoantigens were screened and assessed by microarray analysis in 96 healthy controls and 227 CHB patients with pre-treatment biopsy-proven METAVIR fibrosis score, comprising 69, 115, and 43 cases with S0-1, S2-3, and S4 stages, respectively. Autoantibodies with potential diagnostic value for staging liver fibrosis were verified by enzyme-linked immunosorbent assays (ELISA). Receiver operating characteristic curve was conducted to evaluate autoantibody performance.Results: Microarray analysis identified autoantigens CENPF, ACY1, HSPA6, and ENO1 with potential diagnostic value for liver fibrosis staging, among which CENPF and ACY1 were validated using ELISA. CENPF and ACY1 autoantibodies had area under the curve values of 0.746 and 0.685, 58.14 and 74.42% sensitivity, and 88.41 and 60.87% specificity, respectively, for discriminating liver fibrosis stages S4 and S0-1. The prevalence of CENPF and ACY1 autoantibodies was not correlated with age, sex or level of inflammation.Conclusions: Autoimmune responses may be elicited during progression of liver fibrosis, and serum autoantibodies may be a valuable biomarker for staging liver fibrosis deserving of further study.

scholarly journals Downregulated Expression of hsa_circ_0005556 in Gastric Cancer and Its Clinical Significance

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Liangwei Yang ◽  
Yu Yu ◽  
Xiuchong Yu ◽  
Jiaming Zhou ◽  
Zhiping Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Roc Curve ◽  
Noncoding Rna ◽  
Operating Characteristic ◽  
Diagnostic Value ◽  
Circular Rnas ◽  
Normal Tissues ◽  
Potential Biomarker ◽  
Polymerase Chain

Background. Gastric cancer (GC) has a poor prognosis due to the lack of ideal tumor markers. Circular RNAs (circRNAs) are a novel type of noncoding RNA related to the occurrence of GC. Among our research, we investigated the role of hsa_circ_0005556 in GC. Materials and Methods. The expression of hsa_circ_0005556 of 100 paired GC tissues and adjacent normal tissues was detected using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). A receiver operating characteristic (ROC) curve was established to evaluate the diagnostic value of hsa_circ_0005556. The correlation between the expression of hsa_circ_0005556 and corresponding clinicopathological characteristic was explored. Results. hsa_circ_0005556 was significantly downregulated in GC tissues contrasted with adjacent normal tissues (n=100, p<0.001). The areas under the ROC curve (AUC) of hsa_circ_0005556 were up to 0.773, while 64% sensitivity and 82% specificity, respectively. Moreover, its expression levels were significantly associated with differentiation (p=0.001), TNM stage (p=0.013), and lymphatic metastasis (p=0.039). GC patients of high hsa_circ_0005556 levels had a longer overall survival (OS) than those of the low group (p=0.047). Conclusion. hsa_circ_0005556 is a potential biomarker for GC, which may guide judgment of the indication of endoscopic treatment for early gastric cancer (EGC).

scholarly journals Downregulated Expression of linc-ROR in Gastric Cancer and Its Potential Diagnostic and Prognosis Value

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xiuchong Yu ◽  
Haixiang Ding ◽  
Yijiu Shi ◽  
Liangwei Yang ◽  
Jiaming Zhou ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rna ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Polymerase Chain ◽  
Long Intergenic Noncoding Rna ◽  
Clinical Potential ◽  
The Relationship

Background. Gastric cancer (GC) is one of the global mortality diseases and has a poor prognosis due to the lack of ideal tumor biomarkers. Numerous studies have shown that long noncoding RNAs (lncRNAs) can affect the occurrence and development of cancer through a variety of signaling pathways. The abnormal expression and specificity of lncRNAs in tumors make them potential biomarkers of cancers. Nevertheless, the diagnostic roles of lncRNAs in GC have been poorly understood. So this study focuses on the clinical diagnostic value of lncRNAs in GC. Materials and Methods. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to investigate the expression of the linc-ROR (long intergenic noncoding RNA, regulator of reprogramming) in 105 paired GC tissues and adjacent normal tissues. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were established to assess the diagnostic value of linc-ROR. The relationship between expression of linc-ROR and clinicopathological factors of patients with GC was further explored. Kaplan-Meier analysis was performed to evaluate the prognostic value of linc-ROR expression. Results. The linc-ROR expression level was significantly decreased in GC tissues compared with its adjacent nontumor tissues ( n = 105 , P < 0.001 ). We also discovered that linc-ROR was evidently downregulated in 68.6% (72/105) of GC tissues. The AUC’s value of linc-ROR was up to 0.6495, with sensitivity and specificity of 0.7524 and 0.5143, respectively. Intriguingly, the linc-ROR expression levels were obviously associated with tumor differentiation ( P = 0.004 ). Notably, the overall survival rate of GC patients with high expression of linc-ROR was significantly higher than those with low expression. Conclusion. Our data revealed that linc-ROR has clinical potential as a biomarker for the diagnosis of GC and assessment of its prognosis.

Diagnostic Value of MiR-125b as a Potential Biomarker for Stage I Lung Adenocarcinoma

2019 ◽  
Vol 19 (3) ◽  
pp. 216-227 ◽  
Author(s):  
Arife Zeybek ◽  
Necdet Öz ◽  
Serdar Kalemci ◽  
Tuba Edgünlü ◽  
Mehmet Tuğhan Kızıltuğ ◽  
...  
Keyword(s):  
Dna Repair ◽  
Diagnostic Value ◽  
Stage I ◽  
Diagnostic Biomarkers ◽  
Dna Repair Mechanisms ◽  
Potential Biomarker ◽  
Differentially Expressed Mirnas ◽  
Repair Mechanisms ◽  
Stage Ia ◽  
Lung Adenocarcinomas

Background:We aimed at exploring biological functions of differentially expressed miRNAs during carcinogenesis, to identify miRNAs dysegulations involved in DNA repair mechanisms, and to evaluate potential of miRNAs as prognostic and diagnostic biomarkers for early lung adenocarcinomas (LAC).Methods:We obtained 21 LAC and paired adjacent normal formalin-fixed, paraffinembedded lung tissues from patients who underwent curative resection for stage I LAC. We compared expression levels of eight miRNAs involved in the DNA repair mechanism between LAC and adjacent tissues.Results:Expressions of Hsa-miR-9-5p, hsa-miR-24-3p, hsa-miR-125a-3p, hsa-miR- 125b-5p, hsa-miR-155-5p, and hsa-let-7a-5p were significantly up-regulated in stage I LAC tissues compared with those in the adjacent tissues. In addition, expressions of hsa-mir-9-5p, hsa-mir-24-3p, hsa-mir-125a-3p, hsa-mir-125b-5p, and hsa-mir-155-5p were significantly up-regulated in stage Ia LAC tissues, whereas expressions of hsa-mir- 125a-3p and hsa-mir-125b-5p were significantly up-regulated in stage Ib LAC tissues. Receiver operating characteristic (ROC) analysis revealed that AUROC of hsa-mir-125b- 5p was 0.875 (P < 0.001).Conclusion:Expression of hsa-mir-125b-5p could be used to distinguish LAC from adjacent tissues. Our result suggests that hsa-mir125b-5p can be a prognostic and diagnostic biomarker for LAC.

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