{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T22:11:32Z","timestamp":1793657492391,"version":"4.5.1"},"reference-count":25,"publisher":"American Society of Hematology","issue":"5","content-domain":{"domain":["ashpublications.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>B-cell non-Hodgkin lymphoma cell survival depends on poorly understood immune evasion mechanisms. In melanoma, the composition of the gut microbiota (GMB) is associated with immune system regulation and response to immunotherapy. We investigated the association of GMB composition and diversity with lymphoma biology and treatment outcome. Patients with diffuse large B-cell lymphoma (DLBCL), marginal zone (MZL), and follicular lymphoma (FL) were recruited at Mayo Clinic, Minnesota, and Perlmutter Cancer Center, NYU Langone Health. The pretreatment GMB was analyzed using 16S ribosomal RNA gene sequencing. We examined GMB compositions in 3 contexts: lymphoma patients (51) compared with healthy controls (58), aggressive (DLBCL) (8) compared with indolent (FL, MZL) (18), and the association of GMB with immunochemotherapy treatment outcomes (8 responders, 6 nonresponders). Respectively, we found that the pretreatment GMB in lymphoma patients had a distinct composition compared with healthy controls (P &amp;lt; .001); GMB compositions in DLBCL patients were significantly different than indolent patients (P = .01) with a trend toward reduced microbial diversity in DLBCL patients (P = .08); and pretreatment GMB diversity and composition were significant predictors of treatment responses (P = .01). The impact of these pilot results is limited by our small sample size, and should be considered a proof of principle. If validated, our results could lead toward improved treatment outcomes by improving medication stewardship and informing which GMB-targeted therapies should be tested to improve patient outcomes.<\/jats:p>","DOI":"10.1182\/bloodadvances.2020003129","type":"journal-article","created":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T16:40:53Z","timestamp":1614357653000},"page":"1194-1198","update-policy":"https:\/\/doi.org\/10.1182\/blood.2019cm0000","source":"Crossref","is-referenced-by-count":40,"title":["Microbial dysbiosis is associated with aggressive histology and adverse clinical outcome in B-cell non-Hodgkin lymphoma"],"prefix":"10.1182","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1116-3246","authenticated-orcid":false,"given":"Catherine S.","family":"Diefenbach","sequence":"first","affiliation":[{"name":"Perlmutter Cancer Center, NYU Langone Health, New York, NY;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1534-2578","authenticated-orcid":false,"given":"Brandilyn A.","family":"Peters","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huilin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Population Health, NYU School of Medicine, New York, NY;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce","family":"Raphael","sequence":"additional","affiliation":[{"name":"Perlmutter Cancer Center, NYU Langone Health, New York, NY;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tibor","family":"Moskovits","sequence":"additional","affiliation":[{"name":"Perlmutter Cancer Center, NYU Langone Health, New York, NY;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth","family":"Hymes","sequence":"additional","affiliation":[{"name":"Perlmutter Cancer Center, NYU Langone Health, New York, NY;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6214-9367","authenticated-orcid":false,"given":"Jonas","family":"Schluter","sequence":"additional","affiliation":[{"name":"Institute for Computational Medicine, Department of Microbiology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biomedical Statistics and Informatics and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8358-5953","authenticated-orcid":false,"given":"N. 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