{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T03:01:13Z","timestamp":1771038073084,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2019,6,26]],"date-time":"2019-06-26T00:00:00Z","timestamp":1561507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005010","name":"Associazione Italiana per la Ricerca sul Cancro","doi-asserted-by":"publisher","award":["IG 2011\/11855"],"award-info":[{"award-number":["IG 2011\/11855"]}],"id":[{"id":"10.13039\/501100005010","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Molecules"],"abstract":"<jats:p>Lymphoma defines a group of different diseases. This study examined pre-treatment plasma samples from 66 adult patients (aged 20\u201374) newly diagnosed with any lymphoma subtype, and 96 frequency matched population controls. We used gas chromatography-mass spectrometry (GC-MS) to compare the metabolic profile by case\/control status and across the major lymphoma subtypes. We conducted univariate and multivariate analyses, and partial least square discriminant analysis (PLS-DA). When compared to the controls, statistically validated models were obtained for diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), multiple myeloma (MM), and Hodgkin lymphoma (HL), but not follicular lymphoma (FL). The metabolomic analysis highlighted interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects: Important metabolites, such as hypoxanthine and elaidic acid, were more abundant in all lymphoma subtypes. The small sample size of the individual lymphoma subtypes prevented obtaining PLS-DA validated models, although specific peculiar features of each subtype were observed; for instance, fatty acids were most represented in MM and HL patients, while 2-aminoadipic acid, 2-aminoheptanedioic acid, erythritol, and threitol characterized DLBCL and CLL. Metabolomic analysis was able to highlight interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects. Further studies are warranted to understand whether the peculiar metabolic patterns observed might serve as early biomarkers of lymphoma.<\/jats:p>","DOI":"10.3390\/molecules24132367","type":"journal-article","created":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T02:50:15Z","timestamp":1561603815000},"page":"2367","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["The Metabolomic Profile of Lymphoma Subtypes: A Pilot Study"],"prefix":"10.3390","volume":"24","author":[{"given":"Luigi","family":"Barberini","sequence":"first","affiliation":[{"name":"Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Noto","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6956-7967","authenticated-orcid":false,"given":"Claudia","family":"Fattuoni","sequence":"additional","affiliation":[{"name":"Department of Chemical and Geological Sciences, University of Cagliari, 09124 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giannina","family":"Satta","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mariagrazia","family":"Zucca","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Giuseppina","family":"Cabras","sequence":"additional","affiliation":[{"name":"Department of Hematology, A. Businco Oncology Hospital, 09121 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ester","family":"Mura","sequence":"additional","affiliation":[{"name":"Department of Hematology, A. Businco Oncology Hospital, 09121 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierluigi","family":"Cocco","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,26]]},"reference":[{"key":"ref_1","unstructured":"Ferlay, J., Soerjomataram, L., Ervik, M., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D.M., Forman, D., and Bray, F. (2013). GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC Cancer Base No. 11 [Internet], International Agency for Research on Cancer. 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