Evaluation of Protein Profiling in a Cohort of Egyptian Population with Renal Cell Carcinoma and Benign Kidney Neoplasms

Kandil, Noha Said; Ghazala, Rasha Abdelmawla; Sharkawy, Rania Mohamed El; Youssif, Tamer Abou; Abouseda, Noha Noha

doi:10.31557/apjcp.2019.20.7.2145

Cited by 2 publications

(3 citation statements)

References 21 publications

(28 reference statements)

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Section: Methodsmentioning

confidence: 99%

“…A class prediction model was adjusted by applying 3 different machine-programming algorithms: Supervised Neural Network (SNN), genetic algorithm (GA), and Quick Classifier (QC) algorithms. Crossvalidation was implemented to determine the accuracy of the class prediction [16]. International Journal of Rheumatology characteristics of the participants are shown in Table 1, and the disease parameters of the RA group are shown in Table 2.…”

Section: Expression Profile Analysis and Statistical Analysismentioning

confidence: 99%

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Serum Peptidomic Profile as a Novel Biomarker for Rheumatoid Arthritis

Abdelati

Elnemr

Kandil

et al. 2020

International Journal of Rheumatology

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Over the last decades, there has been an increasing need to discover new diagnostic RA biomarkers, other than the current serologic biomarkers, which can assist early diagnosis and response to treatment. The purpose of this study was to analyze the serum peptidomic profile in patients with rheumatoid arthritis (RA) by using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The study included 35 patients with rheumatoid arthritis (RA), 35 patients with primary osteoarthritis (OA) as the disease control (DC), and 35 healthy controls (HC). All participants were subjected to serum peptidomic profile analysis using magnetic bead (MB) separation (MALDI-TOF-MS). The trial showed 113 peaks that discriminated RA from OA and 101 peaks that discriminated RA from HC. Moreover, 95 peaks were identified and discriminated OA from HC; 38 were significant (p<0.05) and 57 nonsignificant. The genetic algorithm (GA) model showed the best sensitivity and specificity in the three trials (RA versus HC, OA versus HC, and RA versus OA). The present data suggested that the peptidomic pattern is of value for differentiating individuals with RA from OA and healthy controls. We concluded that MALDI-TOF-MS combined with MB is an effective technique to identify novel serum protein biomarkers related to RA.

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Section: Methodsmentioning

confidence: 99%

Section: Expression Profile Analysis and Statistical Analysismentioning

confidence: 99%

Serum Peptidomic Profile as a Novel Biomarker for Rheumatoid Arthritis

Abdelati

Elnemr

Kandil

et al. 2020

International Journal of Rheumatology

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“…In particular, the m / z ion 2221.71 was found to be significantly different and was proposed as a biomarker for the early detection ccRCC, while the use of genetic algorithms allowed the development of a predictive model of 13 characteristic protein peaks for the diagnosis of the pathology. Magnetic beads separation and MALDI were also successfully used in a further differential proteomic profiling study [ 57 ] accomplished on urine samples collected from ccRCC patients, benign kidney diseases patients, and healthy donors, for detecting new biomarkers able to distinguish between benign and malignant masses to be used as an alternative to biopsies.…”

Section: Urine Samples Analysismentioning

confidence: 99%

MALDI-TOF/MS Analysis of Non-Invasive Human Urine and Saliva Samples for the Identification of New Cancer Biomarkers

Zambonin

Aresta

2022

Molecules

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Cancer represents a group of heterogeneous diseases that are a leading global cause of death. Even though mortality has decreased in the past thirty years for different reasons, most patients are still diagnosed at the advanced stage, with limited therapeutic choices and poor outcomes. Moreover, the majority of cancers are detected using invasive painful methods, such as endoscopic biopsy, making the development of non-invasive or minimally invasive methods for the discovery and fast detection of specific biomarkers a crucial need. Among body fluids, a valuable non-invasive alternative to tissue biopsy, the most accessible and least invasive are undoubtedly urine and saliva. They are easily retrievable complex fluids containing a large variety of endogenous compounds that may provide information on the physiological condition of the body. The combined analysis of these fluids with matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF/MS), a reliable and easy-to-use instrumentation that provides information with relatively simple sample pretreatments, could represent the ideal option to rapidly achieve fast early stage diagnosis of tumors and their real-time monitoring. On this basis, the present review summarizes the recently reported applications relevant to the MALDI analysis of human urine and saliva samples.

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Evaluation of Protein Profiling in a Cohort of Egyptian Population with Renal Cell Carcinoma and Benign Kidney Neoplasms

Abstract: Several risk factors are participating in the development of RCC including age, sex, socioeconomic status, genetic predisposition, cigarette smoking, obesity, hypertension and alcohol intake (Kabaria et al., 2016).

Cited by 2 publications

References 21 publications

Serum Peptidomic Profile as a Novel Biomarker for Rheumatoid Arthritis

Serum Peptidomic Profile as a Novel Biomarker for Rheumatoid Arthritis

MALDI-TOF/MS Analysis of Non-Invasive Human Urine and Saliva Samples for the Identification of New Cancer Biomarkers

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