Multicenter Study Using Desorption-Electrospray-Ionization-Mass-Spectrometry Imaging for Breast-Cancer Diagnosis.

Autor:	Porcari AM; Thomson Mass Spectrometry Laboratory, Department of Chemistry , University of Campinas - UNICAMP , Campinas , São Paulo 13083-970 , Brazil.; Laboratory of Multidisciplinary Research , São Francisco University , Bragança Paulista , São Paulo 12916-900 , Brazil., Zhang J; Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States., Garza KY; Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States., Rodrigues-Peres RM; Department of Gynecological and Breast Oncology, CAISM Women's Hospital, Faculty of Medical Sciences , University of Campinas , Campinas, São Paulo , 13083-881 , Brazil., Lin JQ; Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States., Young JH; Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States., Tibshirani R; Departments of Biomedical Data Science and Statistics , Stanford University , Stanford , California 94305 , United States., Nagi C; Department of Pathology and Immunology , Baylor College of Medicine , Houston , Texas 77030 , United States., Paiva GR; Department of Gynecological and Breast Oncology, CAISM Women's Hospital, Faculty of Medical Sciences , University of Campinas , Campinas, São Paulo , 13083-881 , Brazil., Carter SA; Department of Surgery , Baylor College of Medicine , Houston , Texas 77030 , United States., Sarian LO; Department of Gynecological and Breast Oncology, CAISM Women's Hospital, Faculty of Medical Sciences , University of Campinas , Campinas, São Paulo , 13083-881 , Brazil., Eberlin MN; Thomson Mass Spectrometry Laboratory, Department of Chemistry , University of Campinas - UNICAMP , Campinas , São Paulo 13083-970 , Brazil.; Mackenzie Presbiterian University , School of Engineering , São Paulo , SP 01302-907 , Brazil., Eberlin LS; Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States.
Jazyk:	angličtina
Zdroj:	Analytical chemistry [Anal Chem] 2018 Oct 02; Vol. 90 (19), pp. 11324-11332. Date of Electronic Publication: 2018 Sep 18.
DOI:	10.1021/acs.analchem.8b01961
Abstrakt:	The histological and molecular subtypes of breast cancer demand distinct therapeutic approaches. Invasive ductal carcinoma (IDC) is subtyped according to estrogen-receptor (ER), progesterone-receptor (PR), and HER2 status, among other markers. Desorption-electrospray-ionization-mass-spectrometry imaging (DESI-MSI) is an ambient-ionization MS technique that has been previously used to diagnose IDC. Aiming to investigate the robustness of ambient-ionization MS for IDC diagnosis and subtyping over diverse patient populations and interlaboratory use, we report a multicenter study using DESI-MSI to analyze samples from 103 patients independently analyzed in the United States and Brazil. The lipid profiles of IDC and normal breast tissues were consistent across different patient races and were unrelated to country of sample collection. Similar experimental parameters used in both laboratories yielded consistent mass-spectral data in mass-to-charge ratios ( m/ z) above 700, where complex lipids are observed. Statistical classifiers built using data acquired in the United States yielded 97.6% sensitivity, 96.7% specificity, and 97.6% accuracy for cancer diagnosis. Equivalent performance was observed for the intralaboratory validation set (99.2% accuracy) and, most remarkably, for the interlaboratory validation set independently acquired in Brazil (95.3% accuracy). Separate classification models built for ER and PR statuses as well as the status of their combined hormone receptor (HR) provided predictive accuracies (>89.0%), although low classification accuracies were achieved for HER2 status. Altogether, our multicenter study demonstrates that DESI-MSI is a robust and reproducible technology for rapid breast-cancer-tissue diagnosis and therefore is of value for clinical use.
Databáze:	MEDLINE
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