{"id":11353,"date":"2026-01-12T11:44:36","date_gmt":"2026-01-12T10:44:36","guid":{"rendered":"https:\/\/semmelweis.hu\/bioinformatika\/?page_id=11353"},"modified":"2026-04-08T12:29:22","modified_gmt":"2026-04-08T10:29:22","slug":"2026-ban-megjelent-publikacioink","status":"publish","type":"page","link":"https:\/\/semmelweis.hu\/bioinformatika\/2026-ban-megjelent-publikacioink\/","title":{"rendered":"2026-ban megjelent publik\u00e1ci\u00f3ink"},"content":{"rendered":"
    \n
  1. Bartha, \u00c1., Gy\u0151rffy, B<\/strong>., 2026. TNMplot: An enhanced platform for pharmacological target identification through cross-stage and pan-cancer gene expression analysis. J. Pharmacol.<\/strong> https:\/\/doi.org\/10.1111\/bph.70390<\/li>\n
  2. Fekete, J.T.,<\/strong> Kom\u00f3csi, A., Gy\u0151rffy, B<\/strong>., 2026. NetMetaEasy: enabling rapid and user-friendly network meta-analysis (NMA) for comparative effectiveness research. J. Pharmacol<\/strong>. https:\/\/doi.org\/10.1111\/bph.70391<\/li>\n
  3. Gy\u0151rffy, B., Weltz, B.<\/strong>, Szab\u00f3, I., 2026. A global interdisciplinary platform for academic age-normalized researcher evaluation. https:\/\/doi.org\/10.1007\/s11192-026-05608-y<\/li>\n
  4. L\u00f3zsa, R., Szikriszt, B., N\u00e9meth, E., Szeltner, Z., Martinek, R., P\u00f3ti, \u00c1., Feik, T., Kollarics, S., M\u00e1rkus, B.G., Kanu, N., Sztupinszki, Z., Simon, F., Shibata, T., Swanton, C., Szallasi, Z<\/strong>., Richardson, A.L., Sz\u00fcts, D., 2026. Long-term exposure to the ethanol-derived metabolite acetaldehyde elevates structural genomic alterations but not base substitutions. Biol<\/strong>. 9, 243. https:\/\/doi.org\/10.1038\/s42003-026-09521-1<\/li>\n
  5. Meler, A., Gusi-Vives, M., de Barrios, O., Azagra, A., Collazo, O., Melchor, J., Del Monte-Monge, A., Gy\u0151rffy, B<\/strong>., Verdu-Bou, M., Navarro, J.-T., Mart\u00edn-Subero, J.I., Rou\u00e9, G., Ramiro, A.R., Roa, S., Parra, M., 2026. HDAC7 is a key factor for the germinal center reaction and its underexpression is associated with DLBCL prognosis. J. Immunol<\/strong>. 215, vkag015. https:\/\/doi.org\/10.1093\/jimmun\/vkag015<\/li>\n
  6. Menyhart, O., M\u00fcller, D., Gy\u0151rffy, B.,<\/strong> DNA methylation-mediated extracellular matrix gene silencing in colorectal cancer. Semin. Oncol<\/strong>. 53, 152469. https:\/\/doi.org\/10.1016\/j.seminoncol.2026.152469<\/li>\n
  7. Nugnes, M.V., Bouhraoua, K.E.A., Zoubiri, M., Pancsa, R., Fich\u00f3, E., DisProt Consortium,<\/strong> Tompa, P., Piovesan, D., Tosatto, S.C.E., Aspromonte, M.C., 2026. DisProt in 2026<\/strong>: enhancing intrinsically disordered proteins accessibility, deposition, and annotation. Nucleic Acids Res. 54, D383\u2013D392. https:\/\/doi.org\/10.1093\/nar\/gkaf1175<\/li>\n
  8. P\u00f3sfai, B., Jenei, A., Forika, G., Fintha, A., S\u00e1pi, Z., Somor\u00e1cz, \u00c1., D\u00e9nes, B., Salamon, F., Eizler, K.V., Giba, N., Semj\u00e9n, D., Illy\u00e9s, I., Kov\u00e1cs, K.A., Munk\u00e1csy, G.,<\/strong> Papp, J., S\u00e1nta, F., Butz, H., Kuthi, L., 2026. Hemangioblastoma of the Kidney-A Comprehensive Clinical, Pathological, and Genetic Analysis of Four Cases. APMIS Acta Pathol<\/strong>. Microbiol. Immunol. Scand. 134, e70147. https:\/\/doi.org\/10.1111\/apm.70147<\/li>\n
  9. Szepesi-Nagy, I., Borosta, R., Szabo, Z., Tusnady, G<\/strong>.E., Pongor, L.S., Rona, G., 2026. Frag\u2019n\u2019Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments. BMC Bioinformatics<\/strong> 27, 18. https:\/\/doi.org\/10.1186\/s12859-025-06305-y<\/li>\n
  10. Ungvari, Z., Fekete, J.T<\/strong>., Fekete, M., Lehoczki, A., Gulej, R., Sorond, F., Liotta, E., Prodan, C.I., Toth, P., Kiss, C., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026a. Mortality, functional outcome, and bleeding risk after early versus delayed thrombectomy. GeroScience <\/strong>48, 2029\u20132042. https:\/\/doi.org\/10.1007\/s11357-025-01915-z<\/li>\n
  11. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Fekete, J.T., Munk\u00e1csy, G., <\/strong>Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026b. No detectable impact of short-term treatment delays on lung cancer survival. GeroScience<\/strong> 48, 793\u2013805. https:\/\/doi.org\/10.1007\/s11357-025-01684-9<\/li>\n
  12. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Fekete, J.T.,<\/strong> Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026c. Depression increases cancer mortality by 23-83%: a meta-analysis of 65 studies across five major cancer types. GeroScience<\/strong> 48, 293\u2013309. https:\/\/doi.org\/10.1007\/s11357-025-01676-9<\/li>\n
  13. Ungvari, Z., Fekete, M., Buda, A., Lehoczki, A., Munk\u00e1csy, G.,<\/strong> Scaffidi, P., Bonaldi, T., Fekete, J.T.,<\/strong> Bianchini, G., Varga, P., Ungvari, A., Gy\u0151rffy, B<\/strong>., 2026d. Quantifying the impact of treatment delays on breast cancer survival outcomes: a comprehensive meta-analysis. GeroScience <\/strong>48, 1173\u20131187. https:\/\/doi.org\/10.1007\/s11357-025-01719-1<\/li>\n
  14. Ungvari, Z., Menyhart, O.,<\/strong> Lehoczki, A., Fekete, M., Bianchini, G., Gy\u0151rffy, B<\/strong>., 2026e. PCSK9 expression and cancer survival: a prognostic biomarker at the intersection of oncology and geroscience. GeroScience <\/strong>48, 435\u2013449. https:\/\/doi.org\/10.1007\/s11357-025-01733-3<\/li>\n
  15. Ungvari, Z., Menyhart, O<\/strong>., Lehoczki, A., Fekete, M., Fazekas-Pongor, V., Ocana, A., Varga, P., Gy\u0151rffy, B<\/strong>., 2026f. NRF2 pathway activation predicts poor prognosis in lung cancer: a cautionary note on antioxidant interventions. GeroScience<\/strong> 48, 1345\u20131356. https:\/\/doi.org\/10.1007\/s11357-025-01736-0<\/li>\n
  16. Ungv\u00e1ri, Z., Menyhart, O<\/strong>., Ocana, A., Fekete, M., Lehoczki, A., Gy\u0151rffy, B.,<\/strong> Senescence-associated gene signatures predict survival in lung cancer: a multi-cohort analysis. GeroScience<\/strong> 48, 577\u2013590. https:\/\/doi.org\/10.1007\/s11357-025-01894-1<\/li>\n
  17. Ungvari, Z., Menyh\u00e1rt, O<\/strong>., Ocana, A., Lehoczki, A., Fekete, M., Bianchini, G., Gy\u0151rffy, B.,<\/strong> Subtype-specific sirtuin expression signatures link mitochondrial-epigenetic networks to breast cancer survival. GeroScience<\/strong>. https:\/\/doi.org\/10.1007\/s11357-026-02143-9<\/li>\n<\/ol>\n

    Utols\u00f3 friss\u00edt\u00e9s: 2026.04.08.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Bartha, \u00c1., Gy\u0151rffy, B., 2026. TNMplot: An enhanced platform for pharmacological target identification through cross-stage and pan-cancer gene expression analysis. J. Pharmacol. https:\/\/doi.org\/10.1111\/bph.70390 Fekete, J.T., Kom\u00f3csi, A., Gy\u0151rffy, B., 2026. NetMetaEasy: enabling rapid and user-friendly network meta-analysis (NMA) for comparative effectiveness research. J. Pharmacol. https:\/\/doi.org\/10.1111\/bph.70391 Gy\u0151rffy, B., Weltz, B., Szab\u00f3, I., 2026. A global interdisciplinary …<\/p>\n","protected":false},"author":102440,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-11353","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/users\/102440"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/comments?post=11353"}],"version-history":[{"count":10,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11353\/revisions"}],"predecessor-version":[{"id":11472,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11353\/revisions\/11472"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/media?parent=11353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/categories?post=11353"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/tags?post=11353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}