RESUMO

Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples.

Assuntos

Neoplasias da Mama/metabolismo , Carcinoma Ductal/metabolismo , Metabolismo dos Lipídeos , Lipidômica/métodos , Espectrometria de Massas por Ionização por Electrospray/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias da Mama/sangue , Carcinoma Ductal/sangue , Feminino , Humanos , Lipídeos/sangue , Pessoa de Meia-Idade

RESUMO

Documents with handwritten portions are often susceptible to adulteration, forgery, and addition of entries, raising a problem of social concern. In this study, DESI ionization with imaging capabilities is applied to identify fraud in handwritten documents made using erasable pens of the chemical method of erasing (other than the usual physical methods). A fraud procedure was simulated in which an original entry made in white office paper was erased and replaced with a new one. The areas were directly analyzed using a DESI-MSI ion source coupled to a Q-Extractive mass spectrometer. Chemical images were obtained mapping the intensity of selected ions, spelling out each part of the fraud process as irrefutable evidence of its occurrence. Thus, the potential application of DESI-MSI in detecting fraud in suspect documents is demonstrated as a useful, simple, and fast alternative for the traditional techniques employed in these situations.