scholarly journals Mass Spectrometry for Cancer Biomarkers

2019 ◽  
Author(s):  
Radu Albulescu ◽  
Andrei Jose Petrescu ◽  
Mirela Sarbu ◽  
Alice Grigore ◽  
Raluca Ica ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cancer Biomarkers

scholarly journals Development of a New Highly Selective Monoclonal Antibody against Preferentially Expressed Antigen in Melanoma (PRAME) and Identification of the Target Epitope by Bio-Layer Interferometry

2021 ◽  
Vol 22 (6) ◽  
pp. 3166
Author(s):  
Jwala Priyadarsini Sivaccumar ◽  
Antonio Leonardi ◽  
Emanuela Iaccarino ◽  
Giusy Corvino ◽  
Luca Sanguigno ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Monoclonal Antibody ◽  
Monoclonal Antibodies ◽  
Western Blotting ◽  
Cancer Biomarkers ◽  
Trypsin Digestion ◽  
Protein Fragments ◽  
Target Epitope ◽  
Potential Activity ◽  
Antibody Epitopes

Background: Monoclonal antibodies (mAbs) against cancer biomarkers are key reagents in diagnosis and therapy. One such relevant biomarker is a preferentially expressed antigen in melanoma (PRAME) that is selectively expressed in many tumors. Knowing mAb’s epitope is of utmost importance for understanding the potential activity and therapeutic prospective of the reagents. Methods: We generated a mAb against PRAME immunizing mice with PRAME fragment 161–415; the affinity of the antibody for the protein was evaluated by ELISA and SPR, and its ability to detect the protein in cells was probed by cytofluorimetry and Western blotting experiments. The antibody epitope was identified immobilizing the mAb on bio-layer interferometry (BLI) sensor chip, capturing protein fragments obtained following trypsin digestion and performing mass spectrometry analyses. Results: A mAb against PRAME with an affinity of 35 pM was obtained and characterized. Its epitope on PRAME was localized on residues 202–212, taking advantage of the low volumes and lack of fluidics underlying the BLI settings. Conclusions: The new anti-PRAME mAb recognizes the folded protein on the surface of cell membranes suggesting that the antibody’s epitope is well exposed. BLI sensor chips can be used to identify antibody epitopes.

scholarly journals A new panel of pancreatic cancer biomarkers discovered using a mass spectrometry-based pipeline

2017 ◽  
Vol 117 (12) ◽  
pp. 1846-1854 ◽  
Author(s):  
Xiaohui Liu ◽  
Weimin Zheng ◽  
Wansheng Wang ◽  
Huali Shen ◽  
Linxiao Liu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Pancreatic Cancer ◽  
Cancer Biomarkers

Abstract 588: Search for potential penile cancer biomarkers using frozen tissue proteome profiling by mass spectrometry

2015 ◽  
Author(s):  
Adriana Bulgarelli ◽  
Elisângela de Jesus Silva ◽  
Nilson Antonio Assunção ◽  
Isabela Werneck Cunha ◽  
Stenio de Cássi Zequi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Penile Cancer ◽  
Cancer Biomarkers ◽  
Proteome Profiling ◽  
Frozen Tissue ◽  
Tissue Proteome

Exosomal proteins as prostate cancer biomarkers in urine: From mass spectrometry discovery to immunoassay-based validation

2017 ◽  
Vol 98 ◽  
pp. 80-85 ◽  
Author(s):  
Ling Wang ◽  
Tore Skotland ◽  
Viktor Berge ◽  
Kirsten Sandvig ◽  
Alicia Llorente
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
Cancer Biomarkers

Simultaneous Analysis of Multiple Cancer Biomarkers Using MALDI-TOF Mass Spectrometry Based on a Parylene-Matrix Chip

2020 ◽  
Vol 31 (4) ◽  
pp. 917-926 ◽  
Author(s):  
Jong-Min Park ◽  
Moon-Ju Kim ◽  
Joo-Yoon Noh ◽  
Tae Gyeong Yun ◽  
Min-Jung Kang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cancer Biomarkers ◽  
Simultaneous Analysis ◽  
Multiple Cancer ◽  
Maldi Tof Mass Spectrometry ◽  
Maldi Tof

Analysis of volatile organic compounds from patients and cell lines for the validation of lung cancer biomarkers by proton-transfer-reaction mass spectrometry

2019 ◽  
Vol 11 (25) ◽  
pp. 3188-3197 ◽  
Author(s):  
Yun Sun ◽  
Yibing Chen ◽  
Chuanqiang Sun ◽  
Haipei Liu ◽  
Yan Wang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Lung Cancer ◽  
Proton Transfer ◽  
Transfer Reaction ◽  
Cancer Biomarkers ◽  
Proton Transfer Reaction ◽  
Reaction Mass ◽  
Exhaled Breath ◽  
Lung Cancer Patients ◽  
Volatile Organic

Exhaled breath samples from 60 volunteers (30 lung cancer patients, 30 healthy people), and headspace VOCs from lung cancer cells (A549 and H1703) were analyzed using proton-transfer-reaction mass spectrometry (PTR-MS).

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