Combined p16 and p53 expression in cervical cancer of unknown primary and other prognostic parameters View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

Müjdat Yildirim, Jens Müller von der Grün, Ria Winkelmann, Emmanouil Fokas, Franz Rödel, Hanns Ackermann, Claus Rödel, Panagiotis Balermpas

ABSTRACT

BACKGROUND AND PURPOSE: Cervical cancer of unknown primary (CUP) represents an uncommon and heterogeneous subentity of head and neck cancer. However, both optimal diagnostics and therapy remain unclear. An improved understanding of the underlying pathology is essential to enable future tailored therapies and optimized outcomes. MATERIALS AND METHODS: We retrospectively analyzed 53 patients with head and neck CUP and 48 available cervical lymph node specimens. All patients have received radiotherapy between 2007 and 2015. Preradiotherapy involved lymph node specimens were analyzed for p16 and p53 immunoreactivity. The prognostic relevance of the combined p16 and p53 status and other clinical parameters were examined by univariate and multivariate analyses. RESULTS: Median patient age was 61.5 years and median irradiation dose to the involved nodal levels was 66 Gy. Of the 48 evaluated specimens, 13 (27%) were p16-positive and 31 (64.6%) p53-positive. After a median follow up of 32.9 months, patients with p16-negative and simultaneously p53-positive tumors showed a significantly inferior tumor-specific survival (TSS) compared to those with either p16+/p53-, p16+/p53+, or p16-/p53- (univariate: p = 0.055, multivariate: p = 0.038). Other factors with an adverse impact on TSS in the univariate analysis were smoking history (p = 0.032) and nodal stage (p = 0.038). CONCLUSIONS: The combined p16- and p53-expression status in cervical metastases of CUP may represent a simple method for risk stratification. Further validation of these biomarkers in large prospective trials is essential to design rational trials for CUP treatment optimization. More... »

PAGES

305-314

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00066-017-1102-4

DOI

http://dx.doi.org/10.1007/s00066-017-1102-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083400094

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28144684


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    "description": "BACKGROUND AND PURPOSE: Cervical cancer of unknown primary (CUP) represents an uncommon and heterogeneous subentity of head and neck cancer. However, both optimal diagnostics and therapy remain unclear. An improved understanding of the underlying pathology is essential to enable future tailored therapies and optimized outcomes.\nMATERIALS AND METHODS: We retrospectively analyzed 53\u00a0patients with head and neck CUP and 48 available cervical lymph node specimens. All patients have received radiotherapy between 2007 and 2015. Preradiotherapy involved lymph node specimens were analyzed for p16 and p53 immunoreactivity. The prognostic relevance of the combined p16 and p53\u00a0status and other clinical parameters were examined by univariate and multivariate analyses.\nRESULTS: Median patient age was 61.5\u00a0years and median irradiation dose to the involved nodal levels was 66\u2009Gy. Of the 48 evaluated specimens, 13 (27%) were p16-positive and 31 (64.6%) p53-positive. After a median follow up of 32.9\u00a0months, patients with p16-negative and simultaneously p53-positive tumors showed a significantly inferior tumor-specific survival (TSS) compared to those with either p16+/p53-, p16+/p53+, or p16-/p53- (univariate: p\u00a0= 0.055, multivariate: p\u00a0= 0.038). Other factors with an adverse impact on TSS in the univariate analysis were smoking history (p\u00a0= 0.032) and nodal stage (p\u00a0= 0.038).\nCONCLUSIONS: The combined p16- and p53-expression status in cervical metastases of CUP may represent a simple method for risk stratification. Further validation of these biomarkers in large prospective trials is essential to design rational trials for CUP treatment optimization.", 
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Download the RDF metadata as:  json-ld nt turtle xml License info

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00066-017-1102-4'


 

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299 schema:name Department of Radiation Oncology, University Hospital, Johann Wolfgang Goethe University, Theodor Stern Kai 7, 60590, Frankfurt, Germany
300 German Cancer Consortium (DKTK), partner site: Frankfurt a. M., Germany
301 German Cancer Research Center (DKFZ), Heidelberg, Germany
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303 https://www.grid.ac/institutes/grid.7839.5 schema:alternateName Goethe University Frankfurt
304 schema:name Department of Biomedical Statistics, Johann Wolfgang Goethe University, Frankfurt, Germany
305 rdf:type schema:Organization
 




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