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1000 Titel
  • The Stem Cell Factor HMGA2 Is Expressed in Non-HPV–Associated Head and Neck Squamous Cell Carcinoma and Predicts Patient Survival of Distinct Subsites
1000 Autor/in
  1. Günther, Kathrin |
  2. Foraita, Ronja |
  3. Friemel, Juliane |
  4. Günther, Frauke |
  5. Bullerdiek, Jörn |
  6. Nimzyk, Rolf |
  7. Markowski, Dominique Nadine |
  8. Behrens, Thomas |
  9. Ahrens, Wolfgang |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-10-16
1000 Erschienen in
1000 Quellenangabe
  • 26(2):197-205
1000 FRL-Sammlung
1000 Embargo
  • 2017-10-16
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1158/1055-9965.EPI-16-0492 |
1000 Ergänzendes Material
  • https://aacrjournals.org/cebp/article/26/2/197/71318/The-Stem-Cell-Factor-HMGA2-Is-Expressed-in-Non-HPV#supplementary-data |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: The transcription factor high-mobility AT-hook 2 (HMGA2) is involved in stem cell renewal and is expressed in many tumor tissues. Head and neck squamous cell carcinomas (HNSCC) comprise tumors of the upper aerodigestive tract and are characterized by high recurrence rates that represent a challenge to patient management. The study addresses the potential of HMGA2 as a molecular biomarker for HNSCC patient survival. METHODS: Patients with HNSCC of the larynx, pharynx, tonsils, or oral cavity were recruited in a hospital-based case–control study (n = 202). Quantitative expression of HMGA2 in tumor tissues was measured by RT-PCR. In a 6- to 10-year follow-up, secondary cancers, vital status, and cause of death were ascertained. The HR and 95% confidence intervals (CI) for overall, tumor-specific, and progression-free survival were estimated by Cox proportional hazards with HMGA2 expression level as the independent variable. RESULTS: High HMGA2 expression in tumor tissues of HNSCC patients was significantly correlated with negative HPV status (P = 0.01), and associated with shorter overall survival time. In Cox regression modeling, HMGA2 expression yielded a risk increase for overall and tumor-specific death in subsets of HNSCC patients, that is, laryngeal cancer patients (overall survival: HR = 4.00; 95% CI, 1.18–13.62) and in oral cancer patients (tumor-specific survival: HR = 2.88; 95% CI, 1.06–7.84), but not in patients with pharyngeal and tonsillar HNSCC. CONCLUSIONS: HMGA2 expression is associated with a risk increase for adverse outcomes in patients with HNSCC of the larynx and oral cavity.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6347-7154|https://orcid.org/0000-0003-2216-6653|https://frl.publisso.de/adhoc/uri/RnJpZW1lbCwgSnVsaWFuZQ==|https://frl.publisso.de/adhoc/uri/R8O8bnRoZXIsIEZyYXVrZQ==|https://frl.publisso.de/adhoc/uri/QnVsbGVyZGllaywgSsO2cm4=|https://frl.publisso.de/adhoc/uri/TmltenlrLCBSb2xm|https://frl.publisso.de/adhoc/uri/TWFya293c2tpLCBEb21pbmlxdWUgTmFkaW5l|https://frl.publisso.de/adhoc/uri/QmVocmVucywgVGhvbWFz|https://orcid.org/0000-0003-3777-570X
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Deutsche Krebshilfe |
1000 Fördernummer
  1. AH 82/6-1; BU 592/11-1
  2. 110276
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
  1. Nutzungsvereinbarung
  2. AACR_self-archiving-policy
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer AH 82/6-1; BU 592/11-1
  2. 1000 joinedFunding-child
    1000 Förderer Deutsche Krebshilfe |
    1000 Förderprogramm -
    1000 Fördernummer 110276
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6433163.rdf
1000 Erstellt am 2022-04-22T11:07:32.831+0200
1000 Erstellt von 266
1000 beschreibt frl:6433163
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2022-05-18T13:52:52.545+0200
1000 Objekt bearb. Wed May 18 13:52:51 CEST 2022
1000 Vgl. frl:6433163
1000 Oai Id
  1. oai:frl.publisso.de:frl:6433163 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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