{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T21:42:11Z","timestamp":1768772531991,"version":"3.49.0"},"reference-count":43,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T00:00:00Z","timestamp":1683244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"FCT-Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia through the CQM Base Fund","award":["UIDB\/00674\/2020"],"award-info":[{"award-number":["UIDB\/00674\/2020"]}]},{"name":"FCT-Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia through the CQM Base Fund","award":["UIDP\/00674\/2020"],"award-info":[{"award-number":["UIDP\/00674\/2020"]}]},{"name":"FCT-Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia through the CQM Base Fund","award":["M1420-01-0145-FEDER-000005"],"award-info":[{"award-number":["M1420-01-0145-FEDER-000005"]}]},{"name":"Programmatic Fund","award":["UIDB\/00674\/2020"],"award-info":[{"award-number":["UIDB\/00674\/2020"]}]},{"name":"Programmatic Fund","award":["UIDP\/00674\/2020"],"award-info":[{"award-number":["UIDP\/00674\/2020"]}]},{"name":"Programmatic Fund","award":["M1420-01-0145-FEDER-000005"],"award-info":[{"award-number":["M1420-01-0145-FEDER-000005"]}]},{"name":"ARDITI-Ag\u00eancia Regional para o Desenvolvimento da Investiga\u00e7\u00e3o Tecnologia e Inova\u00e7\u00e3o through funds from Regi\u00e3o Aut\u00f3noma da Madeira-Governo Regional","award":["UIDB\/00674\/2020"],"award-info":[{"award-number":["UIDB\/00674\/2020"]}]},{"name":"ARDITI-Ag\u00eancia Regional para o Desenvolvimento da Investiga\u00e7\u00e3o Tecnologia e Inova\u00e7\u00e3o through funds from Regi\u00e3o Aut\u00f3noma da Madeira-Governo Regional","award":["UIDP\/00674\/2020"],"award-info":[{"award-number":["UIDP\/00674\/2020"]}]},{"name":"ARDITI-Ag\u00eancia Regional para o Desenvolvimento da Investiga\u00e7\u00e3o Tecnologia e Inova\u00e7\u00e3o through funds from Regi\u00e3o Aut\u00f3noma da Madeira-Governo Regional","award":["M1420-01-0145-FEDER-000005"],"award-info":[{"award-number":["M1420-01-0145-FEDER-000005"]}]},{"name":"Centro de Qu\u00edmica da Madeira\u2014CQM+ (Madeira 14\u201320 Program)","award":["UIDB\/00674\/2020"],"award-info":[{"award-number":["UIDB\/00674\/2020"]}]},{"name":"Centro de Qu\u00edmica da Madeira\u2014CQM+ (Madeira 14\u201320 Program)","award":["UIDP\/00674\/2020"],"award-info":[{"award-number":["UIDP\/00674\/2020"]}]},{"name":"Centro de Qu\u00edmica da Madeira\u2014CQM+ (Madeira 14\u201320 Program)","award":["M1420-01-0145-FEDER-000005"],"award-info":[{"award-number":["M1420-01-0145-FEDER-000005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Separations"],"abstract":"<jats:p>The potential development of a rapid and highly sensitive breast cancer (BC) diagnostic method has been increasingly investigated by many researchers in order to significantly improve the diagnosis of this disease that affects millions of women worldwide. Thus, this investigation aimed to establish a potential BC urinary peptidomic pattern using one-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis (1D SDS-PAGE) coupled with matrix-assisted laser desorption\/ionization time-of-flight mass spectrometry (MALDI-TOF MS) as a useful approach for BC diagnosis. The results of Lowry\u2019s assay demonstrated that the total protein concentration increased after precipitation and that the healthy control group (HCs, 160 to 318 \u00b5g\/mL, 142 \u00b1 DD \u00b5g\/mL, on average) presented higher total protein content than the BC patients (140 to 311 \u00b5g\/mL, 115 \u00b1 DD \u00b5g\/mL, on average). Related to MALDI-TOF MS analysis, the results revealed that four peptide ion biosignatures (m\/z 1046.5, 1062.5, 1237.7 and 1727.9) allowed the discrimination between BC patients and HCs. The distinction efficiency and accuracy of BC urine peptides were determined by receiver operating characteristic (ROC) curve analysis that enabled the recognition of some features with great sensitivity (88%) and specificity (98%). Therefore, the obtained data revealed MALDI-TOF MS as a powerful tool to explore peptidomic biosignatures due to its speed, sensitivity, and mass accuracy, which allow the establishment of novel disease biomarkers.<\/jats:p>","DOI":"10.3390\/separations10050291","type":"journal-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T02:08:42Z","timestamp":1683252522000},"page":"291","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Urinary Proteomic\/Peptidomic Biosignature of Breast Cancer Patients Using 1D SDS-PAGE Combined with Matrix-Assisted Laser Desorption\/Ionization-Time of Flight Mass Spectrometry"],"prefix":"10.3390","volume":"10","author":[{"given":"Patr\u00edcia","family":"Sousa","sequence":"first","affiliation":[{"name":"CQM\u2014Centro de Qu\u00edmica da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal"}]},{"given":"Irene","family":"Camacho","sequence":"additional","affiliation":[{"name":"Faculdade de Ci\u00eancias da Vida, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1965-3151","authenticated-orcid":false,"given":"Jos\u00e9 S.","family":"C\u00e2mara","sequence":"additional","affiliation":[{"name":"CQM\u2014Centro de Qu\u00edmica da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal"},{"name":"Departamento de Qu\u00edmica, Faculdade de Ci\u00eancias Exatas e Engenharia, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7223-1022","authenticated-orcid":false,"given":"Rosa","family":"Perestrelo","sequence":"additional","affiliation":[{"name":"CQM\u2014Centro de Qu\u00edmica da Madeira, Universidade da Madeira, Campus da Penteada, 9020-105 Funchal, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J. 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