Micronests in Tumor Stroma is a Prognostic Classifier in Nasopharyngeal Carcinoma

dc.contributor.authorAlmangush, Alhadi
dc.contributor.authorRuuskanen, Miia
dc.contributor.authorHagström, Jaana
dc.contributor.authorKosma, Veli-Matti
dc.contributor.authorMäkitie, Antti A.
dc.contributor.authorLeivo, Ilmo
dc.contributor.organizationfi=korva-, nenä-, ja kurkkutautioppi|en=Otorhinolaryngology - Head and Neck Surgery|
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=hammaslääketieteen laitos|en=Institute of Dentistry|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.contributor.organization-code1.2.246.10.2458963.20.93326749889
dc.contributor.organization-code1.2.246.10.2458963.20.64787032594
dc.converis.publication-id515914249
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/515914249
dc.date.accessioned2026-04-24T16:13:18Z
dc.description.abstract<p>The assessment of micronests in tumor stroma has been introduced recently for the prognostication of human malignancies. In this multicenter study, we included a total of 110 patients treated for nasopharyngeal carcinoma (NPC) at one of the Finnish University Hospitals. All available hematoxylin and eosin (H&E)-stained slides were scanned. Assessment of micronests in tumor stroma was conducted on scanned HE-stained slides. Presence of micronests in tumor stroma had a significant prognostic value in predicting overall survival in the multivariable analysis with a hazard ratio (HR) of 1.92 (95% CI: 1.14-3.24, P=0.01). Similarly, in the multivariable analysis of disease-specific survival, micronests in tumor stroma had a significant prognostic value with an HR of 1.87 (95% CI: 1.00-3.48, P=0.04). In addition, the presence of micronests in tumor stroma showed a significant association with keratinizing and EBV-negative tumors (P<0.001). In conclusion, the evaluation of micronests in tumor stroma can be used as a prognostic classifier in NPC and they can be assessed in routine H&E-stained sections.<br></p>
dc.identifier.eissn1532-0979
dc.identifier.jour-issn0147-5185
dc.identifier.urihttps://www.utupub.fi/handle/11111/58631
dc.identifier.urlhttps://doi.org/10.1097/pas.0000000000002531
dc.identifier.urnURN:NBN:fi-fe2026042332796
dc.language.isoen
dc.okm.affiliatedauthorAlmangush, Alhadi
dc.okm.affiliatedauthorRuuskanen, Miia
dc.okm.affiliatedauthorHagström, Jaana
dc.okm.affiliatedauthorLeivo, Ilmo
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOvid Technologies (Wolters Kluwer Health)
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1097/PAS.0000000000002531
dc.relation.ispartofjournalAmerican Journal of Surgical Pathology
dc.titleMicronests in Tumor Stroma is a Prognostic Classifier in Nasopharyngeal Carcinoma
dc.year.issued2026

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