Inflammatory Breast Carcinoma: Elevated microRNA miR-181b-5p and Reduced miR-200b-3p, miR-200c-3p, and miR-203a-3p Expression as Potential Biomarkers with Diagnostic Value

Inflammatory breast cancer (IBC) is a rare yet aggressive breast cancer variant, associated with a poor prognosis. The major challenge for IBC is misdiagnosis due to the lack of molecular biomarkers. We profiled dysregulated expression of microRNAs (miRNAs) in primary samples of IBC and non-IBC tumors using human breast cancer miRNA PCR array. We discovered that 28 miRNAs were dysregulated (10 were upregulated, while 18 were underexpressed) in IBC vs. non-IBC tumors. We identified 128 hub genes, which are putative targets of the differentially expressed miRNAs and modulate important cancer biological processes. Furthermore, our qPCR analysis independently verified a significantly upregulated expression of miR-181b-5p, whereas a significant downregulation of miR-200b-3p, miR-200c-3p, and miR-203a-3p was detected in IBC tumors. Receiver operating characteristic (ROC) curves implied that the four miRNAs individually had a diagnostic accuracy in discriminating patients with IBC from non-IBC and that miR-203a-3p had the highest diagnostic value with an AUC of 0.821. Interestingly, a combination of miR-181b-5p, miR-200b-3p, and miR-200c-3p robustly improved the diagnostic accuracy, with an area under the curve (AUC) of 0.897. Intriguingly, qPCR revealed that the expression of zinc finger E box-binding homeobox 2 (ZEB2) mRNA, the putative target of miR-200b-3p, miR-200c-3p, and miR-203a-3p, was upregulated in IBC tumors. Overall, this study identified a set of miRNAs serving as potential biomarkers with diagnostic relevance for IBC.

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Evaluation of Serum GDF15, AFP, and PIVKA-II as Diagnostic Markers for HBV-Associated Hepatocellular Carcinoma

Laboratory Medicine ◽

10.1093/labmed/lmaa089 ◽

2020 ◽

Author(s):

Juanjuan Chen ◽

Dongling Tang ◽

Chu Xu ◽

Zhili Niu ◽

Huan Li ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Hepatitis B ◽

Diagnostic Accuracy ◽

Roc Curve ◽

Operating Characteristic ◽

Area Under The Curve ◽

Serum Levels ◽

Diagnostic Value ◽

Serum Marker ◽

B Virus

Abstract Objective To evaluate the potential diagnostic value of growth differentiation factor 15 (GDF15) alone and its combination with protein induced by vitamin K absence-II (PIVKA-II) and alpha-fetoprotein (AFP) for hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC). Methods Serum levels of GDF15, PIVKA-II, and AFP were measured in 110 patients with HBV-associated HCC, 70 patients with HBV-related liver cirrhosis (LC), 70 patients with chronic hepatitis B (CHB), and 110 healthy patients. Results Serum GDF15 was positively related to the levels of PIVKA-II and AFP in patients with HCC (r = 0.352 and r = 0.378; all P <.0001). When the receiver operating characteristic (ROC) curve was plotted for patients with HCC vs all control patients, serum GDF15 had diagnostic parameters of an area under the curve (AUC) of 0.693, a sensitivity of 67.30%, and a specificity of 66.70%, which were lower than parameters for PIVKA-II and AFP (all P <.0001). When the ROC curve was plotted for patients with HCC vs patients with LC, the combination of GDF15 and PIVKA-II had the highest diagnostic accuracy of AUC and specificity as compared with other combinations (all P <.0001). Conclusion We found that GDF15 is a potent serum marker for the detection of HBV-associated HCC and that PIVKA-II combined with GDF15 can improve diagnostic accuracy for HBV-associated HCC.

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DIAGNOSTIC ACCURACY OF INTERLIMB DIFFERENCES OF ULTRASONOGRAPHIC SUBCUTANEOUS TISSUE THICKNESS MEASUREMENTS IN BREAST CANCER-RELATED ARM LYMPHEDEMA

Lymphology ◽

10.2458/lymph.4619 ◽

2019 ◽

Vol 52 (1) ◽

Author(s):

E Giray ◽

I Yagcl

Keyword(s):

Breast Cancer ◽

Diagnostic Accuracy ◽

Subcutaneous Tissue ◽

Area Under The Curve ◽

Roc Curves ◽

Tissue Thickness ◽

Assessment And Treatment ◽

Arm Lymphedema ◽

Sensitivity Specificity ◽

Thickness Measurements

Use of ultrasound as an assessment technique for lymphedema has been increasing with measurement of subcutaneous tissue thickness used for both assessment and treatment outcome. Reliability of ultrasound examination of the thickness of the skin and subcutaneous tissue have been studied. However, interlimb differences of ultrasonographic subcutaneous tissue thickness have not been explored. This study aimed to establish diagnostic accuracy of interlimb differences of ultrasonographic subcutaneous tissue thickness measurements in breast cancer-related arm lymphedema. We compared the truncated cone method by using circumference measurements and interlimb differences of ultrasonographic subcutaneous tissue thickness measurements to evaluate the diagnostic accuracy of interlimb differences of ultrasonographic subcutaneous tissue thickness measurements. Sensitivity, specificity, receiver-operating characteristic (ROC) curve, and area under the curve (AUC) were used. Analysis of ROC curves yielded area under the curve (AUC) of 0.804 (p=0.002). ROC analysis identified 0.17cm as the cut-point for differentiating between tissue with and without lymphedema resulting in a sensitivity of 79.3% and specificity of 69.2%.

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Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

10.21203/rs.3.rs-111051/v1 ◽

2020 ◽

Author(s):

Tolou Hasandokht ◽

Farahnaz Joukar ◽

Saman Marroufizadeh ◽

Sahar Sibevey ◽

Mohammadreza Naghipour ◽

...

Keyword(s):

Cohort Study ◽

High Risk ◽

Risk Score ◽

Operating Characteristic ◽

American Diabetes Association ◽

Area Under The Curve ◽

Roc Curves ◽

Diagnostic Value ◽

Anthropometric Indices ◽

Online Calculator

Abstract Background: To determine prevalence of high risk individuals for diabetes mellitus (DM) and pre DM based on American Diabetes Association (ADA) risk score among Iranian people. Methods: Present study was based on 7989 non diabetic subjects aged 35–70 years from 10520 PERSIAN Guilan Cohort Study (PGCS) participants. ADA risk score was calculated for every individual through online calculator. Receiver operating characteristic (ROC) curves was used to study diagnostic accuracy of the anthropometric indices for detecting individuals with high risk ADA score for developing DM, represented by area under the curve (AUC).Results: From 7989 study subjects, ADA risk score found 3874 (48.5%) and 19122 (23%) at risk for developing PreDM and DM, respectively. The results of ROC curve analyses showed the highest diagnostic value was related to waist circumference (WC) followed by Body Mass Index (BMI) (0.695 and 0.693, respectively). The cut-points of WC and BMI for identifying high risk people for DM were 97 and 29, respectively.Conclusions: A large number of our participants had high ADA risk score for developing DM and PreDM that provide the importance of prevention strategies. WC seems to be highest diagnostic value in identifying people (men and women) with DM.

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Evaluation of alpha-l-fucosidase for the diagnosis of hepatocellular carcinoma based on meta-analysis

LaboratoriumsMedizin ◽

10.1515/labmed-2019-0152 ◽

2020 ◽

Vol 0 (0) ◽

Cited By ~ 1

Author(s):

Lei Xi ◽

Chunqing Yang

Keyword(s):

Hepatocellular Carcinoma ◽

Operating Characteristic ◽

Meta Analysis ◽

Area Under The Curve ◽

Diagnostic Odds Ratio ◽

Diagnostic Value ◽

Receiver Operating Characteristic Curves ◽

Sensitivity Specificity ◽

Review Manager

AbstractObjectivesThe main aim of the present study was to assess the diagnostic value of alpha-l-fucosidase (AFU) for hepatocellular carcinoma (HCC).MethodsStudies that explored the diagnostic value of AFU in HCC were searched in EMBASE, SCI, and PUBMED. The sensitivity, specificity, and DOR about the accuracy of serum AFU in the diagnosis of HCC were pooled. The methodological quality of each article was evaluated with QUADAS-2 (quality assessment for studies of diagnostic accuracy 2). Receiver operating characteristic curves (ROC) analysis was performed. Statistical analysis was conducted by using Review Manager 5 and Open Meta-analyst.ResultsEighteen studies were selected in this study. The pooled estimates for AFU vs. α-fetoprotein (AFP) in the diagnosis of HCC in 18 studies were as follows: sensitivity of 0.7352 (0.6827, 0.7818) vs. 0.7501 (0.6725, 0.8144), and specificity of 0.7681 (0.6946, 0.8283) vs. 0.8208 (0.7586, 0.8697), diagnostic odds ratio (DOR) of 7.974(5.302, 11.993) vs. 13.401 (8.359, 21.483), area under the curve (AUC) of 0.7968 vs. 0.8451, respectively.ConclusionsAFU is comparable to AFP for the diagnosis of HCC.

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Diagnostic accuracy of enthesis ultrasound in the diagnosis of early spondyloarthritis

Annals of the Rheumatic Diseases ◽

10.1136/ard.2010.134965 ◽

2010 ◽

Vol 70 (3) ◽

pp. 434-439 ◽

Cited By ~ 70

Author(s):

Eugenio de Miguel ◽

Santiago Muñoz-Fernández ◽

Concepción Castillo ◽

Tatiana Cobo-Ibáñez ◽

Emilio Martín-Mola

Keyword(s):

New York ◽

Diagnostic Accuracy ◽

Statistical Significance ◽

Area Under The Curve ◽

Roc Curves ◽

Controlled Study ◽

Diagnostic Classification ◽

Hla B27 ◽

Cross Sectional ◽

Ultrasound Score

ObjectiveTo determine the sensitivity and specificity of enthesis ultrasound for the diagnostic classification of early spondyloarthritis.MethodsA cross-sectional, blinded and controlled study. Standardised bilateral ultrasound of six entheses (Madrid sonography enthesitis index (MASEI)) was performed. Accepted diagnostic classification criteria were used as the gold standard. Validity was analysed by receiver operating characteristic (ROC) curves. Values of p<0.05 were considered significant.Results113 early spondyloarthritis patients were included (58 women/55 men), 57 non-inflammatory control individuals (29 women/28 men) and 24 inflammatory control individuals (11 women/13 men). The evolution time of spondyloarthritis was 10.9±7.1 months. At least some grade of sacroiliitis on x-ray was present in 59 patients, but only five fulfilled the radiographic sacroiliitis New York criteria. Human leucocyte antigen B27 (HLA-B27) was positive in 42% of patients. No statistical differences were found for the enthesis score among diagnostic spondyloarthritis subtypes form of presentation (axial, peripheral or mixed) or HLA-B27 positivity. The MASEI score achieved statistical significance for gender. The ultrasound score was 23.36±11.40 (mean±SD) in spondyloarthritis patients and 12.26±6.85 and 16.04±9.94 in the non-inflammatory and inflammatory control groups (p<0.001), respectively. The ROC area under the curve was 0.82, and a cut-off point of ≥20 points achieved a likelihood ratio of 5.30 and a specificity of 89.47%.ConclusionsEntheses are affected early in spondyloarthritis, and the incidence of involvement is higher in men and independent of the spondyloarthritis diagnostic subtype, HLA-B27 status or presentation pattern. The enthesis ultrasound score seems to have diagnostic accuracy and may be useful for improving the diagnostic accuracy of early spondyloarthritis.

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The potential value of a pictorial atlas for aid in the visual diagnosis of 123I FP-CIT SPECT scans

Nuklearmedizin ◽

10.3413/nukmed-0230 ◽

2009 ◽

Vol 48 (04) ◽

pp. 173-178 ◽

Cited By ~ 3

Author(s):

H. Ham ◽

A. Dobbeleir ◽

P. Santens ◽

Y. D'Asseler ◽

I. Goethals

Keyword(s):

Diagnostic Accuracy ◽

Roc Analysis ◽

Operating Characteristic ◽

Interobserver Variability ◽

Area Under The Curve ◽

Visual Assessment ◽

Added Value ◽

Related Disorder ◽

Visual Diagnosis ◽

Spect Images

SummaryThe aim of our study was to evaluate the value of a pictorial atlas of 123I FP-CIT SPECT images for aid in the visual diagnosis. Patients, materials, methods: Sixty patients, of whom 20 were clinically diagnosed as ‘non-parkinsonian’ and 40 as having Parkinson's disease or any related disorder, were included in the study. An atlas consisting of 12 123I FP-CIT SPECT images was constructed first. Validity of the atlas was investigated by performing a receiver operating characteristic (ROC) analysis with the clinical diagnosis as the gold standard. The remaining 48 SPECT images were visually assessed twice by 5 observers, first with and secondly without consulting the atlas, or vice versa. The added value of the atlas was investigated by comparing the diagnostic accuracy and the interobserver variability for both methods. Results: ROC analysis performed on the atlas yielded an area under the curve of 1 for a threshold discriminating between clinically non-parkinsonian and parkinsonian patients that was situated between image 4 and 5 of the atlas. For the diagnostic accuracy, we found that the area under the ROC curve was systematically higher if observers had access to the atlas compared to when they had not (Wilcoxon's test, p<0.05). Also, the interobserver variability was significantly lower when observers used the atlas when compared to when they did not (p = 0.05). Conclusion: Diagnostic accuracy was significantly higher and interobserver variability significantly lower if observers had access to the atlas compared to when they had not. Hence, having a pictorial atlas available may facilitate the visual assessment of 123I FP-CIT SPECT scans.

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Value of Fibrinogen to Discriminate Appendicitis from Nonspecific Abdominal Pain in Preschool Children

European Journal of Pediatric Surgery ◽

10.1055/s-0039-1692166 ◽

2019 ◽

Vol 30 (04) ◽

pp. 357-363

Author(s):

Javier Gómez-Veiras ◽

Ángel Salgado-Barreira ◽

José Luis Vázquez ◽

Margarita Montero-Sánchez ◽

José Ramón Fernández-Lorenzo ◽

...

Keyword(s):

Abdominal Pain ◽

Preschool Children ◽

Diagnostic Accuracy ◽

Prothrombin Time ◽

Characteristic Curve ◽

Area Under The Curve ◽

Diagnostic Value ◽

Suspected Appendicitis ◽

Uncomplicated Appendicitis ◽

Good Diagnostic Accuracy

Introduction The aim of this study was to assess the diagnostic value of the biomarker fibrinogen (FB), along with the markers white blood cell (WBC) count, absolute neutrophil count (ANC), and C-reactive protein (CRP), to discriminate appendicitis from nonspecific abdominal pain (NSAP) in preschool children. Materials and Methods We prospectively evaluated all children aged <5 years admitted for suspected appendicitis at an academic pediatric emergency department during 5 years. Diagnostic accuracy of FB (prothrombin time–derived method), WBC, ANC, and CRP were assessed by the area under the curve (AUC) of the receiver-operating characteristic curve. Results A total of 82 patients were enrolled in the study (27 NSAP, 17 uncomplicated, and 38 complicated appendicitides). WBC and ANC had moderate diagnostic accuracy for appendicitis versus NSAP (WBC: AUC 0.66, ANC: AUC 0.67). CRP and FB had good diagnostic accuracy for appendicitis versus NSAP (CRP: AUC 0.78, FB: AUC 0.77). WBC and ANC are not useful to discriminate complicated versus uncomplicated appendicitis (WBC: AUC 0.43, ANC: AUC 0.45). CPR and FB had good diagnostic accuracy for complicated versus uncomplicated appendicitis (CRP: AUC 0.80, FB: AUC 0.73). Conclusion CRP and FB are more useful than WBC and ANC to discriminate appendicitis from NSAP in preschool children. CRP and FB are especially useful to discriminate complicated from uncomplicated appendicitis and NSAP. In a child with suspected appendicitis, a plasma FB level (prothrombin time–derived method) >540 mg/dL is associated with an increased likelihood of complicated appendicitis.

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Expression Analysis of Circulating miR-22, miR-122, miR-217 and miR-367 as Promising Biomarkers of Acute Lymphoblastic Leukemia

10.21203/rs.3.rs-1097151/v1 ◽

2021 ◽

Author(s):

Fatemeh hosseinpour-soleimani ◽

Gholamreza Khamisipour ◽

Zahra Derakhshan ◽

Bahram Ahmadi

Keyword(s):

Acute Lymphoblastic Leukemia ◽

Roc Analysis ◽

Operating Characteristic ◽

Lymphoblastic Leukemia ◽

Area Under The Curve ◽

Diagnostic Value ◽

Healthy Individuals ◽

Quantitative Real Time Pcr ◽

Expression Levels

Abstract Background Currently, the role of serum-based biomarkers such as microRNAs in cancer diagnosis has been extensively established. This study aimed to determine expression levels of bioinformatically selected miRNAs and whether they can be used as biomarkers or a new therapeutic target in patients with Acute Lymphoblastic Leukemia (ALL). Materials and Methods The expression levels of serum miR-22, miR-122, miR-217, and miR-367 in 21 ALL patients and 21 healthy controls were measured using quantitative real-time PCR. The receiver operating characteristic (ROC) curve and the associated area under the curve (AUC) was used to assess candidate miRNAs' diagnostic value as a biomarker. Results The results showed that miR-217 was markedly decreased in patients with ALL compared to controls. Moreover, miR-22, miR-122, and miR-367 were found to be upregulated. Furthermore, ROC analysis showed that serum miR-217 and miR-367 could differentiate ALL patients from the healthy individuals, while miR-22 has approximate discriminatory power that requires further investigation. Conclusion Collectively, the results suggested that miR-217 may play a tumor suppressor role in ALL, whereas miR-22, miR-122, and miR-367 could function as an oncogene. Overall, miR-22, miR-217, and miR-367 could be considered possible biomarkers for the early diagnosis of ALL.

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Serum Exosomal MicroRNAs as Potential Circulating Biomarkers for Endometriosis

Disease Markers ◽

10.1155/2020/2456340 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10 ◽

Cited By ~ 6

Author(s):

Lu Zhang ◽

Huihui Li ◽

Ming Yuan ◽

Dong Li ◽

Chang Sun ◽

...

Keyword(s):

Area Under The Curve ◽

Roc Curves ◽

Diagnostic Value ◽

Pcr Analysis ◽

Go Annotation ◽

Qrt Pcr ◽

Noninvasive Biomarker ◽

Novel Biomarkers ◽

Negative Controls ◽

Exosomal Mirna

Background. A reliable noninvasive biomarker is not yet available for endometriosis diagnosis. Novel biomarkers for the diagnosis of endometriosis are urgently needed. The molecular constituents of exosomes, especially exosomal microRNAs (miRNAs), have considerable potential as novel biomarkers for clinical diagnosis. This study is aimed at exploring aberrant exosomal miRNA profiles by using miRNA microarray and at providing more accurate molecular biomarkers of endometriosis. Methods. Exosomes were isolated from the serum of patients with endometriosis and negative controls and identified by electron microscopy, nanoparticle tracking analysis, and Western blot. Exosomal miRNAs were profiled by miRNA microarrays. The expression of selective serum exosomal miRNA was validated by qRT-PCR. Receiver operating characteristic (ROC) curves were established to explore the diagnostic value of selective miRNAs. Finally, GO annotation and KEGG pathway enrichment analyses were used to display possible functions associated with the two miRNAs. Results. A total of 24 miRNAs showed differential levels of enrichment with P<0.05 and log2 fold change>1 by miRNA microarrays. Among the six selective miRNAs (i.e., miR-134-5p, miR-197-5p, miR-22-3p, miR-320a, miR-494-3p, and miR-939-5p), qRT-PCR analysis revealed that miR-22-3p and miR-320a were significantly upregulated in serum exosomes from patients with endometriosis compared with negative individuals. ROC curve revealed that the serum exosomal miR-22-3p and miR-320a yielded the area under the curve values of 0.855 and 0.827, respectively. Conclusion. Our results demonstrated that exosomal miR-22-3p and miR-320a were significantly increased in the sera of patients with endometriosis. The two miRNAs may be useful potential biomarkers for endometriosis diagnosis.

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Sequence-Based Discovery of Antibacterial Peptides Using Ensemble Gradient Boosting

Proceedings ◽

10.3390/proceedings2020066006 ◽

2020 ◽

Vol 66 (1) ◽

pp. 6

Author(s):

Ehdieh Khaledian ◽

Shira L. Broschat

Keyword(s):

Operating Characteristic ◽

Area Under The Curve ◽

Roc Curves ◽

Gradient Boosting ◽

Support Vector ◽

Antibacterial Peptides ◽

Therapeutic Approaches ◽

Laboratory Procedures ◽

Feature Selection Techniques ◽

Better Than

Antimicrobial resistance is driving pharmaceutical companies to investigate different therapeutic approaches. One approach that has garnered growing consideration in drug development is the use of antimicrobial peptides (AMPs). Antibacterial peptides (ABPs), which occur naturally as part of the immune response, can serve as powerful, broad-spectrum antibiotics. However, conventional laboratory procedures for screening and discovering ABPs are expensive and time-consuming. Identification of ABPs can be significantly improved using computational methods. In this paper, we introduce a machine learning method for the fast and accurate prediction of ABPs. We gathered more than 6000 peptides from publicly available datasets and extracted 1209 features (peptide characteristics) from these sequences. We selected the set of optimal features by applying correlation-based and random forest feature selection techniques. Finally, we designed an ensemble gradient boosting model (GBM) to predict putative ABPs. We evaluated our model using receiver operating characteristic (ROC) curves, calculating the area under the curve (AUC) for several different models for comparison, including a recurrent neural network, a support vector machine, and iAMPpred. The AUC for the GBM was ~0.98, more than 3% better than any of the other models.

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