Neutrophil Gelatinase-Associated Lipocalin (NGAL) concentration in urine is superior to CA19-9 and Ca 125 in differentiation of pancreatic mass: Preliminary report

Hogendorf, Piotr; Durczyński, Adam; Skulimowski, Aleksander; Kumor, Anna; Poznańska, Grażyna; Strzelczyk, Janusz

doi:10.3233/cbm-160595

Cited by 23 publications

(15 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The clinical significance of measuring NGAL has also been recently highlighted in conditions other then AKI, such as acute bacterial meningitis [10] and bacterial peritonitis [11] . Notably, a growing number of studies have reported that NGAL may be used as an efficient biomarker for early diagnosis and predicting the clinical outcome of certain types of cancer [12] , [13] , [14] .…”

Section: Introductionmentioning

confidence: 99%

Analytical validation of Gentian NGAL particle-enhanced enhanced turbidimetric immunoassay (PETIA)

Salvagno

Ferrari

Gelati

et al. 2017

Practical Laboratory Medicine

View full text Add to dashboard Cite

ObjectivesThis study was designed to validate the analytical performance of the new Gentian particle-enhanced enhanced turbidimetric immunoassay (PETIA) for measuring neutrophil gelatinase-associated lipocalin (NGAL) in serum samples.Design and methodsAnalytical validation of the Gentian NGAL assay was carried out on a Roche Cobas c501 and was based on assessment of limit of blank (LOB), limit of detection (LOD), functional sensitivity, imprecision, linearity and concordance with the BioPorto NGAL test.ResultsThe LOB and LOD of Gentian NGAL were found to be 3.8 ng/mL and 6.3 ng/mL, respectively. An analytical coefficient of variation (CV) of 20% corresponded to a NGAL value of 10 ng/mL. The intra-assay and inter-assay imprecision (CV) was between 0.4 and 5.2% and 0.6 and 7.1% and the total imprecision (CV) was 3.7%. The linearity was optimal at NGAL concentrations between 37 and 1420 ng/mL (r=1.00; p<0.001). An excellent correlation was observed between values measured with Gentian NGAL and BioPorto NGAL in 74 routine serum samples (r=0.993). The mean percentage bias of the Gentian assay versus the Bioporto assay was +3.1% (95% CI, +1.6% to +4.5%).ConclusionsThese results show that Gentian NGAL may be a viable option to other commercial immunoassays for both routine and urgent assessment of serum NGAL.

show abstract

Section: Introductionmentioning

confidence: 99%

Analytical validation of Gentian NGAL particle-enhanced enhanced turbidimetric immunoassay (PETIA)

Salvagno

Ferrari

Gelati

et al. 2017

Practical Laboratory Medicine

View full text Add to dashboard Cite

show abstract

“…Other proteins released from neutrophils are lipocalin-2 (NGAL/LCN-2, [ 133 ]), heparanase, CD11 and CD18 (LFA-1), and S100/A9. For instance, through the release of lipocalin-2, neutrophils can activate tumor cells via the phosphorylation of PI3K/Akt, causing the downstream expression of VEGF and HIF-1, which are factors important for tumor progression, angiogenesis, and chemoresistance [ 134 ].…”

Section: Contribution Of Neutrophils In Pdacmentioning

confidence: 99%

The Immune Microenvironment in Pancreatic Cancer

Huber

Brehm

Gress³

et al. 2020

IJMS

166

161

View full text Add to dashboard Cite

The biology of solid tumors is strongly determined by the interactions of cancer cells with their surrounding microenvironment. In this regard, pancreatic cancer (pancreatic ductal adenocarcinoma, PDAC) represents a paradigmatic example for the multitude of possible tumor–stroma interactions. PDAC has proven particularly refractory to novel immunotherapies, which is a fact that is mediated by a unique assemblage of various immune cells creating a strongly immunosuppressive environment in which this cancer type thrives. In this review, we outline currently available knowledge on the cross-talk between tumor cells and the cellular immune microenvironment, highlighting the physiological and pathological cellular interactions, as well as the resulting therapeutic approaches derived thereof. Hopefully a better understanding of the complex tumor–stroma interactions will one day lead to a significant advancement in patient care.

show abstract

“…Only recently, a few publications have emerged highlighting the potential of urine in biomarker studies in the pancreatic field as well [52][53][54][55]. Roy et al showed that urine MMP2 (matrix metallopeptidase 2) and TIMP-1 (tissue inhibitor of metalloproteinase 1) combined can differentiate PDAC (n = 50) from control samples (n = 60), with 91% SN and 75% SP [52], and Hogendorf et al [53] showed that neutrophil gelatinase-associated lipocalin (NGAL), measured in urine can distinguish PDAC (n = 21) from CP (n = 15), with both SN and SP of 80%. Urinary PGEM (prostaglandin E2 metabolite) was recently proposed as a biomarker of PDAC risk prediction [54].…”

Section: Plos Medicinementioning

confidence: 99%

A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case–control study

et al. 2020

View full text Add to dashboard Cite

Background Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers, with around 9% of patients surviving >5 years. Asymptomatic in its initial stages, PDAC is mostly diagnosed late, when already a locally advanced or metastatic disease, as there are no useful biomarkers for detection in its early stages, when surgery can be curative. We have previously described a promising biomarker panel (LYVE1, REG1A, and TFF1) for earlier detection of PDAC in urine. Here, we aimed to establish the accuracy of an improved panel, including REG1B instead of REG1A, and an algorithm for data interpretation, the PancRISK score, in additional retrospectively collected urine specimens. We also assessed the complementarity of this panel with CA19-9 and explored the daily variation and stability of the biomarkers and their performance in common urinary tract cancers. Methods and findings Clinical specimens were obtained from multiple centres: Barts Pancreas Tissue Bank, University College London, University of Liverpool, Spanish National Cancer Research Center, Cambridge University Hospital, and University of Belgrade. The biomarker panel was assayed on 590 urine specimens: 183 control samples, 208 benign hepatobiliary disease samples (of which 119 were chronic pancreatitis), and 199 PDAC samples (102 stage I–II and 97 stage III–IV); 50.7% were from female individuals. PDAC samples were collected from patients before treatment. The samples were assayed using commercially available ELISAs. Statistical analyses were performed using non-parametric Kruskal–Wallis tests adjusted for multiple comparisons, and multiple logistic regression. Training and validation datasets for controls and PDAC samples were obtained after random division of the whole available dataset in a 1:1 ratio. The substitution of REG1A with REG1B enhanced the performance of the panel to detect resectable PDAC. In a comparison of controls and PDAC stage I–II samples, the areas under the receiver operating characteristic curve (AUCs) increased from 0.900 (95% CI 0.843–0.957) and 0.926 (95% CI 0.843–1.000) in the training (50% of the dataset) and validation sets, respectively, to 0.936 in both the training (95% CI 0.903–0.969) and the validation (95% CI 0.888–0.984) datasets for the new panel including REG1B. This improved panel showed both sensitivity (SN) and specificity (SP) to be >85%. Plasma CA19-9 enhanced the performance of this panel in discriminating PDAC I–II patients from controls, with AUC = 0.992 (95% CI 0.983–1.000), SN = 0.963 (95% CI 0.913–1.000), and SP = 0.967 (95% CI 0.924–1.000). We demonstrate that the biomarkers do not show significant daily variation, and that they are stable for up to 5 days at room temperature. The main limitation of our study is the low number of stage I–IIA PDAC samples (n = 27) and lack of samples from individuals with hereditary predisposition to PDAC, for which specimens collected from control individuals were used as a proxy. Conclusions We have successfully validated our urinary biomarker panel, which was improved by substituting REG1A with REG1B. At a pre-selected cutoff of >80% SN and SP for the affiliated PancRISK score, we demonstrate a clinically applicable risk stratification tool with a binary output for risk of developing PDAC (‘elevated’ or ‘normal’). PancRISK provides a step towards precision surveillance for PDAC patients, which we will test in a prospective clinical study, UroPanc.

show abstract

Neutrophil Gelatinase-Associated Lipocalin (NGAL) concentration in urine is superior to CA19-9 and Ca 125 in differentiation of pancreatic mass: Preliminary report

Cited by 23 publications

References 41 publications

Analytical validation of Gentian NGAL particle-enhanced enhanced turbidimetric immunoassay (PETIA)

Analytical validation of Gentian NGAL particle-enhanced enhanced turbidimetric immunoassay (PETIA)

The Immune Microenvironment in Pancreatic Cancer

A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case–control study

Contact Info

Product

Resources

About