Literature DB >> 32614181

Paper Spray Ionization Mass Spectrometry as a Potential Tool for Early Diagnosis of Cervical Cancer.

Thais P P Mendes1, Igor Pereira1, Leomir A S de Lima1, Camilo L M Morais2, Ana C O N Neves3, Francis L Martin4, Kássio M G Lima3, Boniek Gontijo Vaz1.   

Abstract

Squamous intraepithelial lesion is an abnormal growth of epithelial cells on the surface of the cervix that may lead to cervical cancer. Analytical protocols for the determination of squamous intraepithelial lesions are in high demand, since cervical cancer is the fourth most diagnosed cancer among women in the world. Here, paper spray ionization mass spectrometry (PSI-MS) is used to distinguish between healthy (negative for intraepithelial lesion or malignancy) and diseased (high-grade squamous intraepithelial lesion) blood plasmas. A total of 86 blood samples of different women (49 healthy samples, 37 diseased samples) were collected, and the plasmas were prepared. Then, 10 μL of each plasma sample was deposited onto triangular papers for PSI-MS analysis. No additional step of sample preparation was necessary. The interval-successive projection algorithm linear discriminant analysis (iSPA-LDA) was applied to the PSI mass spectra, showing six ions (mostly phospholipids) that were predictive of healthy and diseased plasmas. Values of 77% accuracy, 86% sensitivity, 80% positive predictive value (PPV), and 75% negative predictive value (NPV) were achieved. This study provides evidence that PSI-MS may potentially be used as a fast and simple analytical technique for the early diagnosis of cervical cancer.

Entities:  

Keywords:  ambient mass spectrometry; cervical cancer; mass spectrometry; paper spray ionization

Year:  2020        PMID: 32614181     DOI: 10.1021/jasms.0c00111

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  1 in total

1.  Multivariate classification techniques and mass spectrometry as a tool in the screening of patients with fibromyalgia.

Authors:  Marcelo V S Alves; Lanaia I L Maciel; Ruver R F Ramalho; Leomir A S Lima; Boniek G Vaz; Camilo L M Morais; João O S Passos; Rodrigo Pegado; Kássio M G Lima
Journal:  Sci Rep       Date:  2021-11-19       Impact factor: 4.379

  1 in total

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