Interactome Based Identification and Validation of Prefoldin 5α for Prognosing CNS Leukemia in B-All Patients

Abstract BackgroundThe gold standard for central nervous system (CNS) B cell acute lymphoblastic leukemia (B-ALL) diagnosis is cerebrospinal fluid (CSF) cytology with poor sensitivity. Thus, prophylactic intrathecal chemotherapy is implemented, which has severe neurological consequences necessitating discovery of CNS leukemia prognostic markers. MethodsTwo-dimensional (2D) far-western interactome analysis was performed to identify CNS+ve/-ve B-ALL CSF reactivity to lymphoblastic proteins profiled on a 2D-western blot. Those specific CNS+ve reacting spots were identified using mass spectrometry. The identified proteins were further validated by both 1D western and ELISA. An ROC curve was generated to identify the cut-off value for prognostication of CNS leukemia in B-ALL patients. ResultsUsing interactome analysis with B-ALL CNS+ve/-ve CSF, we identified prefoldin 5α (PFDN5α), cytokine induced protein 29 (CIP29), enoyl CoA hydratase (ECH1) and peroxiredoxin 6 (PRDX6). Among these proteins, PFDN5α showed statistically significant consistent low reactivity to CNS+ve CSF compared to CNS-ve. Further validation of PFDN5α-CSF reactivity using 1D western and ELISA platform confirmed our interactome analysis. Receiver Operating Characteristic (ROC) curve analysis generated from B-ALL CNS +ve (n = 25) and –ve (n = 40) CSF samples identified PFDN5α-CSF reactivity cut-off value as 0.456. In contrast, CIP29, ECH1 and PRDX6 proteins did not show any differences in CSF reactivity as seen in interactome analysis. ConclusionsUsing far-western interactome approach, we identified the prognostic significance of PFDN5α in predicting CNS leukemia. Further validation by 1D western and ELISA confirmed the significance of differential CSF reactivity of CNS+ve/-ve B-ALL CSF to PFDN5α towards prognostication of CNS leukemia. ROC curve analysis identified the cut-off value for CNS leukemia prediction as 0.456. Values above or below 0.456 could discriminate B-ALL patients either not requiring or requiring intrathecal chemotherapy respectively. Considering the prophylactic chemotherapy associated neurological consequences, PFDN5α-CSF reactivity based prognosis of CNS leukemia is important in avoiding prophylactic intrathecal chemotherapy for the effective clinical management of patients.

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Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

BMC Research Notes ◽

10.1186/s13104-021-05659-9 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Yuichiro Shimoyama ◽

Osamu Umegaki ◽

Noriko Kadono ◽

Toshiaki Minami

Keyword(s):

Multivariate Analysis ◽

Roc Curve ◽

Operating Characteristic ◽

Prognostic Nutritional Index ◽

Early Mortality ◽

Curve Analysis ◽

Rank Test ◽

Roc Curve Analysis ◽

Log Rank Test ◽

Nutritional Index

Abstract Objective Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. Results Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

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Use of Receiver Operating Characteristic (ROC) Curve Analysis for Tyrer-Cuzick and Gail in Breast Cancer Screening in Jiangxi Province, China

Medical Science Monitor ◽

10.12659/msm.910108 ◽

2018 ◽

Vol 24 ◽

pp. 5528-5532

Author(s):

Le Zhang ◽

Zhigang Jie ◽

Shengxi Xu ◽

Liqun Zhang ◽

Xiangqu Guo

Keyword(s):

Breast Cancer ◽

Cancer Screening ◽

Receiver Operating Characteristic ◽

Breast Cancer Screening ◽

Roc Curve ◽

Operating Characteristic ◽

Curve Analysis ◽

Jiangxi Province ◽

Roc Curve Analysis ◽

Receiver Operating

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Serum diiodotyrosine—a biomarker to differentiate destructive thyroiditis from Graves’ disease

Acta Endocrinologica ◽

10.1530/eje-21-0901 ◽

2021 ◽

Author(s):

Naoya Fujita ◽

Yosuke Ono ◽

Azusa Sano ◽

Motohiro Kimata ◽

Seigo Oyama ◽

...

Keyword(s):

Roc Curve ◽

Operating Characteristic ◽

Cross Sectional Study ◽

Curve Analysis ◽

Diagnostic Methods ◽

Graves Disease ◽

Roc Curve Analysis ◽

Cross Sectional ◽

Chromatography Tandem Mass Spectrometry ◽

Liquid Chromatography Tandem Mass

Objective: Conventional diagnostic methods are limited in their ability to differentiate destructive thyroiditis from Graves’ disease. We hypothesised that serum diiodotyrosine (DIT) and monoiodotyrosine (MIT) levels could be biomarkers for differentiating destructive thyroiditis from Graves’ disease. Design: Patients with destructive thyroiditis (n = 13) and Graves’ disease (n = 22) were enrolled in this cross-sectional study. Methods: We assayed the serum DIT and MIT levels using liquid chromatography-tandem mass spectrometry. A receiver operating characteristic (ROC) curve analysis was used to determine the sensitivity and specificity of the serum DIT and MIT levels as biomarkers for differentiating destructive thyroiditis from Graves’ disease. Results: The serum DIT and MIT levels were significantly higher in patients with destructive thyroiditis than in those with Graves’ disease. The ROC curve analysis showed that the serum DIT levels (≥ 359.9 pg/mL) differentiated destructive thyroiditis from Graves’ disease, significantly, with 100.0% sensitivity and 95.5% specificity (P < .001). The diagnostic accuracy of the serum MIT levels (≥119.4 pg/mL) was not as high as that of the serum DIT levels (sensitivity, 84.6%; specificity, 77.3%; P = .001). Conclusions: The serum DIT levels may serve as a novel diagnostic biomarker for differentiating destructive thyroiditis from Graves’ disease.

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Value of multimodality imaging in the diagnosis of breast lesions with calcification: A retrospective study

Clinical Hemorheology and Microcirculation ◽

10.3233/ch-200877 ◽

2020 ◽

Vol 76 (1) ◽

pp. 85-98 ◽

Cited By ~ 2

Author(s):

Wenjuan Tong ◽

Xiaoling Zhang ◽

Jia Luo ◽

Fushun Pan ◽

Jinyu Liang ◽

...

Keyword(s):

Roc Curve ◽

Operating Characteristic ◽

Multimodality Imaging ◽

Curve Analysis ◽

Breast Lesions ◽

Roc Curve Analysis ◽

Diagnostic Efficacy ◽

Contrast Enhanced ◽

Conventional Ultrasound ◽

Group A

PURPOSE: To assess the value of conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and mammography in the diagnosis of breast lesions with calcifications. METHODS: A total of 87 breast lesions with calcification were subjected to US, CEUS and mammography and divided into 3 groups: Group A (all cases), Group A1 (31 cases who underwent US and CEUS first followed by mammography), and Group A2 (56 cases who underwent mammography first followed by US and CEUS). A receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of different methods in different groups. RESULTS: In Group A, the area under the ROC curve (AUROC) of CEUS were 0.937, which were significantly higher than that of mammography (p < 0.05). In Group A1, the AUROC of CEUS were 0.842, which were not significantly different from that of US and mammography (p > 0.05). In Group A2, the AUROC of CEUS were 0.987, which were significantly higher than that of mammography and US (p < 0.05). CONCLUSION: Based on the mammography results, the combination of US and CEUS might improve the diagnostic efficacy in breast lesions with calcification.

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A Novel Inflammation-Based Prognostic Score: The Fibrinogen/Albumin Ratio Predicts Prognoses of Patients after Curative Resection for Hepatocellular Carcinoma

Journal of Immunology Research ◽

10.1155/2018/4925498 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 14

Author(s):

Qiaodong Xu ◽

Yongcong Yan ◽

Songgang Gu ◽

Kai Mao ◽

Jianlong Zhang ◽

...

Keyword(s):

Roc Curve ◽

Prognostic Value ◽

Curative Resection ◽

Operating Characteristic ◽

Curve Analysis ◽

Prognostic Scores ◽

Roc Curve Analysis ◽

Optimal Cutoff ◽

Albumin Ratio ◽

Cutoff Value

Background. Inflammation is an important hallmark of cancer. Fibrinogen and albumin are both vital factors in systemic inflammation. This study investigated the prognostic value of the fibrinogen/albumin ratio in HCC patients who underwent curative resection. Methods. HCC patients (n=151) who underwent curative resection were evaluated retrospectively. The optimal cutoff value for the fibrinogen/albumin ratio was selected by receiver operating characteristic (ROC) curve analysis. Correlations between preoperative fibrinogen/albumin ratios and clinicopathologic characteristics were analyzed by χ2 test. The area under the receiver operating characteristic curve (AUC) was calculated to compare the prognostic value of the fibrinogen/albumin ratio with other prognostic scores (neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and albumin-bilirubin (ALBI) score). The overall survival (OS) and time to recurrence (TTR) were assessed by the log-rank test and the Cox proportional hazard regression model. Results. An optimal cutoff value of the preoperative fibrinogen/albumin ratio (0.062) was determined for 151 patients who underwent curative resection for HCC via a ROC curve analysis. Fibrinogen/albumin ratio > 0.062 was significantly associated with microvascular invasion, an advanced BCLC stage, and ALBI grade. Multivariate analyses revealed that fibrinogen/albumin ratio was an independent predictor for OS (P=0.003) and TTR (P=0.035). The prognostic ability of fibrinogen/albumin ratio was comparable to other prognostic scores (NLR, PLR, and ALBI score) by AUC analysis. Patients with a fibrinogen/albumin ratio > 0.062 had lower 1-, 3-, and 5-year OS rates (66.0%, 41.8%, and 28.2% versus 81.9%, 69.3%, and 56.1%, resp., P<0.001) and higher 1-, 3-, and 5-year recurrence rates (60.9%, 79.2%, and 90.5% versus 49.5%, 69.1%, and 77.1%, resp., P=0.008) compared with patients with fibrinogen/albumin ratio ≤ 0.062. Conclusion. The preoperative fibrinogen/albumin ratio is an effective prognostic factor for HCC patients who underwent curative resection. An elevated fibrinogen/albumin ratio significantly correlates with poorer survival and a higher risk of recurrence in HCC patients.

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Sample Size in Receiver-Operating Characteristic (ROC) Curve Analysis

Circulation Journal ◽

10.1253/circj.cj-11-1408 ◽

2012 ◽

Vol 76 (3) ◽

pp. 768 ◽

Cited By ~ 11

Author(s):

Tomoyuki Kawada

Keyword(s):

Sample Size ◽

Receiver Operating Characteristic ◽

Roc Curve ◽

Operating Characteristic ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Receiver Operating

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Regular papers / Articles ordinairesReceiver operating characteristic (ROC) curve analysis of the effectiveness of construction planning efforts in Australia and the United Kingdom

Canadian Journal of Civil Engineering ◽

10.1139/l02-100 ◽

2003 ◽

Vol 30 (1) ◽

pp. 159-167 ◽

Cited By ~ 1

Author(s):

O O Faniran ◽

D G Proverbs

Keyword(s):

United Kingdom ◽

Roc Curve ◽

Construction Projects ◽

Operating Characteristic ◽

Curve Analysis ◽

Construction Planning ◽

Roc Curve Analysis ◽

Building Projects ◽

The United Kingdom ◽

Planning Project

This paper presents the results of a receiver operating characteristic (ROC) curve analysis of the effectiveness of construction planning efforts, based on samples of building projects in Australia and the United Kingdom. The results of the study provide an evaluation of the extent of the effort that must be invested in planning and control activities to achieve success in the performance of construction projects. The study also illustrates the potential application of ROC curve analysis in construction engineering and management research. Planning efforts in a sample of 52 building projects in Australia and 37 building projects in the United Kingdom were evaluated and compared. This study builds on work done in an earlier study in which the concept of optimal planning of construction projects was explored. The ROC curve analysis offers several advantages over the regression methodology employed in the previous optimal planning study. The graphical representation of the relationship between sensitivity and specificity over all possible diagnostic cutoff points provides an insight into the interactions of the variables that was not apparent in the original methodology.Key words: construction planning, project planning, project management, ROC curve analysis, Australia, United Kingdom.

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