biomarker panel
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Author(s):  
Lu Mao ◽  
Yong Tang ◽  
Ming‐jing Deng ◽  
Chun‐tao Huang ◽  
Dong Lan ◽  
...  

2021 ◽  
Vol 8 (5) ◽  
pp. 5-20
Author(s):  
A. D. Chaykovskaya ◽  
M. P. Topuzova ◽  
A. M. Makhanova ◽  
A. G. Mikheeva ◽  
D. S. Korotkova ◽  
...  

Background. Application of a biomarker panel during the acute period of the ischemic stroke (IS) can contribute to a more accurate and prompter diagnostics and verification of the optimal approach to a patients’ management.Objective. We aimed to clarify values of neuron-specific enolase (NSE), glial fibrillar acidic protein (GFAP) and antibodies for NMDA receptor’s NR2-subunit (NR2-antibodies) in the acute period of IS, to compare with such values in patients without IS, to assess their relationship with severity of neurological deficit and short-term outcome and also to establish sensitivity and specificity of the biomarker panel.Design and methods. 63 patients with IS and 31 people (11 with chronic brain ischemia and 20 healthy individuals) as controls were included. Results. NSE and GFAP values in IS group exceeded reference values at the onset of disease, lowering significally by 10-14 day, while NR2-antibodies’ values were lower at the onset of the disease compared with controls, rising by 10-14 day. In patients with unfavourable short-term outcome higher levels of NSE, GFAP and NR2-antibodies were found. A panel of such biomarkers has higher sensitivity and specificity than each of them individually.Conclusion. Researched substances can be used in a biomarker panel for IS diagnostics, brain damage monitoring, patient’s condition evaluation and short outcome prognosing.


2021 ◽  
Author(s):  
Lourdes Mengual ◽  
Maria Frantzi ◽  
Marika Mokou ◽  
Mercedes Ingelmo-Torres ◽  
Michiel Vlaming ◽  
...  

Purpose: Non-invasive urine-based biomarkers for bladder cancer (BC) diagnosis and surveillance can potentially improve current diagnostic and monitoring protocols by guiding cystoscopy. Here, we aim to access the diagnostic performance of nomograms based on published biomarker panels for BC detection (BC-116) and monitoring of recurrence (BC-106) in combination with cytology, in two prospectively collected patient cohorts. Experimental Design: 602 recruited patients were screened for presence of BC, out of which 551 were found eligible for further analysis. For the primary setting, urine samples from 73 eligible patients were analyzed from those diagnosed with primary BC (n=27) and benign urological disorders (n=46). For the surveillance setting, 478 eligible patients were considered (83 BC recurrences; 395 negative for recurrence). Urine samples were analyzed with capillary electrophoresis coupled to mass spectrometry and the biomarker score was estimated via a support vector machine-based software. Results: Validation of the BC-116 biomarker panel resulted in 89% sensitivity and 67% specificity (AUCBC-116=0.82), similar to the published estimates. The nomogram based on cytology and BC-116 resulted in good (AUCNom116=0.85) but not significantly better performance than the BC-116 alone (P=0.5672). BC-106 biomarker panel showed 89% sensitivity and 32% specificity for surveillance, while improved performance was achieved when a nomogram including BC-106 and cytology was evaluated (AUCNom106=0.82), significantly outperforming both cytology (AUCcyt=0.72;P=0.0022) and BC-106 alone (AUCBC-106=0.67;P=0.0012). Conclusions: BC-116 biomarker panel is a useful test for detecting primary BC. BC-106 classifier integrated with cytology and showing >95% negative predictive value, might be useful for decreasing the number of cystoscopies during surveillance.


2021 ◽  
Vol 12 ◽  
Author(s):  
Tingting Xu ◽  
Xiaoyan Xu ◽  
Lu Zhang ◽  
Ke Zhang ◽  
Qiong Wei ◽  
...  

In diabetes mellitus (DM), disorders of glucose and lipid metabolism are significant causes of the onset and progression of diabetic nephropathy (DN). However, the exact roles of specific lipid molecules in the pathogenesis of DN remain unclear. This study recruited 577 participants, including healthy controls (HCs), type-2 DM (2-DM) patients, and DN patients, from the clinic. Serum samples were collected under fasting conditions. Liquid chromatography-mass spectrometry-based lipidomics methods were used to explore the lipid changes in the serum and identify potential lipid biomarkers for the diagnosis of DN. Lipidomics revealed that the combination of lysophosphatidylethanolamine (LPE) (16:0) and triacylglycerol (TAG) 54:2-FA18:1 was a biomarker panel for predicting DN. The receiver operating characteristic analysis showed that the panel had a sensitivity of 89.1% and 73.4% with a specificity of 88.1% and 76.7% for discriminating patients with DN from HCs and 2-DM patients. Then, we divided the DN patients in the validation cohort into microalbuminuria (diabetic nephropathy at an early stage, DNE) and macroalbuminuria (diabetic nephropathy at an advanced stage, DNA) groups and found that LPE(16:0), phosphatidylethanolamine (PE) (16:0/20:2), and TAG54:2-FA18:1 were tightly associated with the stages of DN. The sensitivity of the biomarker panel to distinguish between patients with DNE and 2-DM, DNA, and DNE patients was 65.6% and 85.9%, and the specificity was 76.7% and 75.0%, respectively. Our experiment showed that the combination of LPE(16:0), PE(16:0/20:2), and TAG54:2-FA18:1 exhibits excellent performance in the diagnosis of DN.


2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Kanta Horie ◽  
Nicolas R. Barthelemy ◽  
Chihiro Sato ◽  
Yan Li ◽  
Eric McDade ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 5983
Author(s):  
Emile Bienvenu ◽  
Marie Francoise Mukanyangezi ◽  
Stephen Rulisa ◽  
Anna Martner ◽  
Bengt Hasséus ◽  
...  

Background: Effects on the proteome when a high risk (HR)-HPV infection occurs, when it is cleared and when it becomes chronic were investigated. Moreover, biomarker panels that could identify cervical risk lesions were assessed. Methods: Cytology, HPV screening and proteomics were performed on cervical samples from Rwandan HIV+ and HIV- women at baseline, at 9 months, at 18 months and at 24 months. Biological pathways were identified using the String database. Results: The most significantly affected pathway when an incident HR-HPV infection occurred was neutrophil degranulation, and vesicle-mediated transport was the most significantly affected pathway when an HR-HPV infection was cleared; protein insertion into membrane in chronic HR-HPV lesions and in lesions where HR-HPVs were cleared were compared; and cellular catabolic process in high-grade lesions was compared to that in negative lesions. A four-biomarker panel (EIF1; BLOC1S5; LIMCH1; SGTA) was identified, which was able to distinguish chronic HR-HPV lesions from cleared HR-HPV/negative lesions (sensitivity 100% and specificity 91%). Another four-biomarker panel (ERH; IGKV2-30; TMEM97; DNAJA4) was identified, which was able to distinguish high-grade lesions from low-grade/negative lesions (sensitivity 100% and specificity 81%). Conclusions: We have identified the biological pathways triggered in HR-HPV infection, when HR-HPV becomes chronic and when cervical risk lesions develop. Moreover, we have identified potential biomarkers that may help to identify women with cervical risk lesions.


Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 5909
Author(s):  
Pablo Azcue ◽  
David Guerrero Setas ◽  
Ignacio Encío ◽  
Berta Ibáñez-Beroiz ◽  
María Mercado ◽  
...  

Molecular characterization of colorectal cancer has helped us understand better the biology of the disease. However, previous efforts have yet to provide significant clinical value in order to be integrated into clinical practice for patients with early-stage colon cancer (CC). The purpose of this study was to assess PD-L1, GLUT-1, e-cadherin, MUC2, CDX2, and microsatellite instability (dMMR) and to propose a risk-panel with prognostic capabilities. Biomarkers were immunohistochemically assessed through tissue microarrays in a cohort of 144 patients with stage II/III colon cancer. A biomarker panel consisting of PD-L1, GLUT-1, dMMR, and potentially CDX2 was constructed that divided patients into low, medium, and high risk of overall survival or disease-free survival (DFS) in equally sized groups. Compared with low-risk patients, medium-risk patients have almost twice the risk of death (HR = 2.10 (0.99–4.46), p = 0.054), while high-risk patients have almost four times the risk (HR = 3.79 (1.77–8.11), p = 0.001). The multivariate goodness of fit was 0.756 and was correlated with Kaplan–Meier curves (p = 0.002). Consistent results were found for DFS. This study provides a critical basis for the future development of an immunohistochemical assessment capable of discerning early-stage CC patients as a function of their prognosis. This tool may aid with treatment personalization in daily clinical practice and improve survival outcomes.


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