Verbesserte Prognoseeinschätzung bei Kopf-Hals-Karzinomen durch neue genetische Marker View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-06

AUTHORS

U. Bockmühl, I. Küchler, I. Petersen

ABSTRACT

In individual patients with head and neck squamous cell carcinomas (HNSCC), established prognostic factors do not satisfactorily predict clinical outcome. For the first time we investigated a total of 100 HNSCC by Comparative Genomic Hybridization (CGH) to define chromosomal alterations that are associated with the patients prognosis. Patients were followed for at latest 4 but at least 2 years after surgery or until death. During this observation period twenty-nine of them died because of cancer disease. The Kaplan-Meier method was used plotting survival curves for every single chromosomal alteration as well as every clinico-pathological parameter. The curves were tested for significance by the log rank as well as the Breslow test. Significance of particular prognostic parameters was then evaluated by the Cox regression model. The overall survival time as well as the recurrence free survival time were significantly lower in patients who's tumors showed amplifications of the chromosomal region 11q13 (p = 0.0008 for LR and p = 0.0024 for B). The survival time of the patients was also lower if the carcinomas carried over-representations of chromosome 3q (p = 0.0299 for LR and p = 0.0546 for B). Multivariate analysis (Cox's proportional hazards model) revealed both alterations as most important independent prognostic factors in HNSCC. None of the conventional clinicopathological parameters (pT-, pN-status, UICC stage, grading) achieved statistical significance in the multivariate model. These results suggest that in HNSCC the occurrence of 11q13 amplification and 3q overrepresentation are highly significant independent prognostic markers and of better value than the established TNM and grading criteria. More... »

PAGES

451-456

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s001060050596

DOI

http://dx.doi.org/10.1007/s001060050596

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034115574

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10929226


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