scholarly journals A three-miRNA panel in serum as a noninvasive biomarker for colorectal cancer detection

2020 ◽  
Vol 35 (3) ◽  
pp. 74-82
Author(s):  
Xiqi Peng ◽  
Jingyao Wang ◽  
Chunduo Zhang ◽  
Kaihao Liu ◽  
Liwen Zhao ◽  
...  

Background: Circulating miRNAs have been proved to be promising biomarkers for disease detection in recent years. The present study aimed at exploring available serum miRNA biomarkers for the detection of colorectal cancer. Methods: A three-phase study was performed to select and validate candidate miRNAs with significant dysregulation in colorectal cancer using quantitative reverse transcription-polymerase chain reaction. This study recruited 137 colorectal cancer patients and 145 healthy controls. The diagnostic values of miRNAs were evaluated by receiver operating characteristic analysis. Bioinformatics analyses were utilized to predict target genes of miRNAs, and to conduct functional annotation and enrichment. Results: miR-30e-3p, miR-31-5p, miR-34b-3p and miR-146a-5p, miR-148a-3p and miR-192-5p were significantly dysregulated in colorectal cancer serum when compared with healthy controls. The panel composed of miR-30e-3p, miR-146a-5p, and miR-148a-3p exhibited strong diagnostic ability. The area under the receiver operating characteristic curve of the three-miRNA panel was 0.883, with a sensitivity of 0.800 and specificity of 0.787. Conclusion: The present study identified a three-miRNA panel in serum with a strong diagnostic ability of colorectal cancer, which may be able to serve as a novel noninvasive biomarker for colorectal cancer detection.

Rheumatology ◽  
2020 ◽  
Author(s):  
Jiawei Lu ◽  
Yunke Guo ◽  
Yan Lu ◽  
Wei Ji ◽  
Lili Lin ◽  
...  

Abstract Objective The relationship between serum lipid variations in SS and healthy controls was investigated to identify potential predictive lipid biomarkers. Methods Serum samples from 230 SS patients and 240 healthy controls were collected. The samples were analysed by ultrahigh-performance liquid chromatography coupled with Q Exactive™ spectrometry. Potential lipid biomarkers were screened through orthogonal projection to latent structures discriminant analysis and further evaluated by receiver operating characteristic analysis. Results A panel of three metabolites [phosphatidylcholine (18:0/22:5), triglyceride (16:0/18:0/18:1) and acylcarnitine (12:0)] was identified as a specific biomarker of SS. The receiver operating characteristic analysis showed that the panel had a sensitivity of 84.3% with a specificity of 74.8% in discriminating patients with SS from healthy controls. Conclusion Our approach successfully identified serum biomarkers associated with SS patients. The potential lipid biomarkers indicated that SS metabolic disturbance might be associated with oxidized lipids, fatty acid oxidation and energy metabolism.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e17535-e17535
Author(s):  
Lirong Wu ◽  
Xia He

e17535 Background: Since recent studies reported that blood-based microRNAs (miRNAs) could detect cancers and predict prognosis, a new field has been opened for circulating miRNAs as potential biomarkers in cancers. In this pilot study, we evaluated to our knowledge for the first time whether salivary miRNAs might be applicable as innovative biomarkers for Nasopharyngeal carcinoma (NPC) detection. Methods: By high throughput label-free microarray contained 2025 human miRNA probes, 12 down-regulated miRNAs from saliva samples from 22 newly diagnosed NPC patients and 25 healthy controls were selected. Then, their target genes enriched by gene ontology and pathway were used to construct a regulatory and interaction networks. The receiver operating characteristic analyses (ROC) and logistic regression were calculated to assess discriminatory accuracy. Results: Advanced bioinformatics analysis was conducted to understand the most significant hub gene is TP53 that probably regulated by the 12 dysregulated miRNAs. The ROC including the 12 miRNAs as well as the 6 significant deregulated miRNAs separated NPC patients from healthy controls with a very high (areas under the receiver operating characteristic curve [AUC] = 0.999, sensitivity = 100.00%, specificity = 96.00%) and high accuracy (AUC = 0.941, sensitivity = 95.45%, specificity = 80.00%), respectively. Conclusions: Differentially expressed miRNAs might play critical roles in NPC by regulating their target genes, and may have the potential to become diagnostic biomarkers.


2016 ◽  
Vol 16 (4) ◽  
pp. 440-445 ◽  
Author(s):  
Qiang Li ◽  
Keke Wang ◽  
Chang Su ◽  
Jieyu Fang

Colorectal cancer is one of the most frequent causes of cancer-related deaths worldwide. Thus, there is a need for timely diagnosis and effective treatment. Our aim in the present study was to detect the serum level of trefoil factor 3 protein and evaluate the diagnostic accuracy of trefoil factor 3 in patients with colorectal cancer. We collected serum samples from 204 participants (127 patients with colorectal cancer, 35 patients with polyps, and 42 healthy controls). The levels of serum trefoil factor 3 and carcinoembryonic antigen expression were measured by enzyme-linked immunosorbent assay. Receiver operating characteristic curves were plotted to calculate the diagnostic accuracy of trefoil factor 3 in patients with colorectal cancer. The serum levels of trefoil factor 3 in patients with colorectal cancer (6.66 ± 2.4 ng/mL; P < .00l) and polyps (3.86 ± 1.3 ng/mL; P < .00l) were significantly increased compared to healthy controls (2.09 ± 1.0 ng/mL). Moreover, the area under the receiver operating characteristic curve for trefoil factor 3 was greater than carcinoembryonic antigen (0.889 vs 0.715). At a cutoff value of 5.591 ng/mL, the diagnostic sensitivity, specificity, and likelihood ratio of serum trefoil factor 3 for colorectal cancer was 74.2%, 94.8%, and 14.25, respectively. Furthermore, the serum trefoil factor 3 levels in early colorectal cancer (TNM stage I, 3.67 ± 1.27 ng/mL) were significantly increased compared to healthy controls ( P < .001); however, there was no significant difference compared to patients with polyps ( P = .576). We observed that the serum trefoil factor 3 levels decreased after surgery (6.66 ± 2.4 vs 4.48 ± 1.80 ng/mL; P < .001). In addition, high serum trefoil factor 3 levels were associated with poor tumor differentiation and clinical TNM stage ( P < .05). In conclusion, serum trefoil factor 3 is a promising biomarker for the diagnosis of colorectal cancer and prognosis of patients.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S277-S277
Author(s):  
Katherine C Jankousky ◽  
Peter Hyson ◽  
Jin Huang ◽  
Daniel B Chastain ◽  
Carlos Franco-Paredes ◽  
...  

Abstract Background Accurate, rapid, inexpensive biomarkers are needed to differentiate COVID-19 from bacterial pneumonia, allowing effective treatment and antibiotic stewardship. We hypothesized that the ratio of ferritin to procalcitonin (F/P) reflects greater viral activity and host response with COVID-19 pneumonia, while bacterial pneumonia would be associated with less cytolysis (lower ferritin) and more inflammation (higher procalcitonin), thus a lower F/P ratio. Methods We conducted a retrospective study of adult patients admitted to a single University hospital in the US through May 2020, during the COVID-19 pandemic. We compared F/P ratio of patients diagnosed with COVID-19 or bacterial pneumonia, excluding patients with COVID-19 and bacterial co-infections. In a logistic regression, we controlled for age, sex, body mass index (BMI), diabetes (DM), and hypertension (HTN). We used a receiver operating characteristic analysis to calculate the sensitivity and specificity of F/P values for the diagnosis of COVID-19 versus bacterial pneumonia. Results Of 218 patients with COVID-19 and 17 with bacterial pneumonia, COVID-19 patients were younger (56 vs 66 years, p=0.04), male (66% vs 24%, p=0.009), had higher BMI (31 vs 27 kg/m2, p=0.03), and similar rates of HTN (59% vs 45%, p=0.3) and DM (32% vs 18%, p=0.2). The median F/P ratio was significantly higher in patients with COVID-19 (3195 vs 860, p=0.0003, Figure 1). An F/P ratio cut-off of ≥ 1250 generated a sensitivity of 78% and a specificity of 59% to correctly classify a COVID-19 case (Figure 2). When adjusted for age, gender, BMI, DM, and HTN, a ratio ≥ of 1250 was associated with significantly greater odds of COVID-19 versus bacterial pneumonia (OR: 4.9, CI: 1.5, 16.1, p=0.009). Figure 1. Ferritin to Procalcitonin Ratios of patients with COVID-19 and patients with Bacterial Pneumonia (controls). Figure 2. Receiver Operating Characteristic Analysis of Ferritin to Procalcitonin Ratio Cut-off Values Predicting COVID-19 Diagnosis. Conclusion We observed an elevated F/P ratio in patients with COVID-19 compared to those with bacterial pneumonia. A F/P ratio ≥ 1250 provides a clinically relevant increase in pre-test probability of COVID-19. Prospective studies evaluating the discriminatory characteristics of F/P ratio in larger cohorts is warranted. Disclosures All Authors: No reported disclosures


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jing Zhao ◽  
Bernd Hamm ◽  
Winfried Brenner ◽  
Marcus R. Makowski

Abstract Purpose This study aimed to calculate an applicable relative ratio threshold value instead of the absolute threshold value for simultaneous 68Ga prostate-specific membrane antigen/positron emission tomography ([68Ga]Ga-PSMA-11 PET) in patients with prostate cancer (PCa). Materials and methods Our study evaluated thirty-two patients and 170 focal prostate lesions. Lesions are classified into groups according to Prostate Imaging Reporting and Data System (PI-RADS). Standardized uptake values maximum (SUVmax), corresponding lesion-to-background ratios (LBRs) of SUVmax, and LBR distributions of each group were measured based on regions of interest (ROI). We examined LBR with receiver operating characteristic analysis to determine threshold values for differentiation between multiparametric magnetic resonance imaging (mpMRI)-positive and mpMRI-negative lesions. Results We analyzed a total of 170 focal prostate lesions. Lesions number of PI-RADS 2 to 5 was 70, 16, 46, and 38. LBR of SUVmax of each PI-RADS scores was 1.5 (0.9, 2.4), 2.5 (1.6, 3.4), 3.7 (2.6, 4.8), and 6.7 (3.5, 12.7). Based on an optimal threshold ratio of 2.5 to be exceeded, lesions could be classified into MRI-positive lesion on [68Ga]Ga-PSMA PET with a sensitivity of 85.2%, a specificity of 72.0%, with the corresponding area under the receiver operating characteristic curve (AUC) of 0.83, p < 0.001. This value matches the imaging findings better. Conclusion The ratio threshold value of SUVmax, LBR, has improved clinical and research applicability compared with the absolute value of SUVmax. A higher threshold value than the background’s uptake can dovetail the imaging findings on MRI better. It reduces the bias from using absolute background uptake value as the threshold value.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bianca M. Leca ◽  
Maria Mytilinaiou ◽  
Marina Tsoli ◽  
Andreea Epure ◽  
Simon J. B. Aylwin ◽  
...  

AbstractProlactinomas represent the most common type of secretory pituitary neoplasms, with a therapeutic management that varies considerably based on tumour size and degree of hyperprolactinemia. The aim of the current study was to evaluate the relationship between serum prolactin (PRL) concentrations and prolactinoma size, and to determine a cut-off PRL value that could differentiate micro- from macro-prolactinomas. A retrospective cohort study of 114 patients diagnosed with prolactinomas between 2007 and 2017 was conducted. All patients underwent gadolinium enhanced pituitary MRI and receiver operating characteristic (ROC) analyses were performed. 51.8% of patients in this study were men, with a mean age at the time of diagnosis of 42.32 ± 15.04 years. 48.2% of the total cohort were found to have microadenomas. Baseline serum PRL concentrations were strongly correlated to tumour dimension (r = 0.750, p = 0.001). When performing the ROC curve analysis, the area under the curve was 0.976, indicating an excellent accuracy of the diagnostic method. For a value of 204 μg/L (4338 mU/L), sensitivity and specificity were calculated at 0.932 and 0.891, respectively. When a cut off value of 204 μg/L (4338 mU/L) was used, specificity was 93.2%, and sensitivity 89.1%, acceptable to reliably differentiate between micro- and macro- adenomas.


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