Activation of MAP Kinase Signaling Through ERK5 But Not ERK1 Expression Is Associated with Lymph Node Metastases in Oral Squamous Cell Carcinoma (OSCC)1,2
In an attempt to further elucidate the pathomechanisms in oral squamous cell carcinoma (OSCC), gene expression profiling was performed using a whole-transcriptome chip that contains 35,035 gene-specific 70mere oligonucleotides (Human OligoSet 4.0; Operon, Cologne, Germany) to a set of 35 primary OSC...
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Veröffentlicht in: | Neoplasia (New York, N.Y.) N.Y.), 2008-05, Vol.10 (5), p.462-470 |
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Sprache: | eng |
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Zusammenfassung: | In an attempt to further elucidate the pathomechanisms in oral squamous cell carcinoma (OSCC), gene expression profiling was performed using a whole-transcriptome chip that contains 35,035 gene-specific 70mere oligonucleotides (Human OligoSet 4.0; Operon, Cologne, Germany) to a set of 35 primary OSCCs. Altogether, 7390 genes were found differentially expressed between OSCC tumor samples and oral mucosa. To characterize the major biologic processes in this tumor collection, MAPPFinder, a component of GenMAPP version 2.1, was applied to this data set to generate a statistically ranked list of molecular signaling pathways. Among others, cancer-related pathways, such as mitogen-activated protein (MAP) kinase signaling (
z
score = 4.6,
P
< .001), transforming growth factor-beta signaling (
z
score = 3.0,
P
= .015), and signaling pathways involved in apoptosis (
z
score = 2.1,
P
= .037), were found deregulated in the OSCC collection analyzed. Focusing on the MAP kinase signaling pathway, subsequent tissue microarray analyses by immunohistochemistry revealed an increase in protein expression of MAP kinase-related proteins ERK1 in 22.8% (48 of 209) and ERK5 in 27.4% (76 of 277), respectively. An association of high ERK5 but not of high ERK1 expression with advanced tumor stage and the presence of lymph node metastases was found (
P
= .008 and
P
= .016, respectively). Our analysis demonstrates the reliability of the combined approach of gene expression profiling, signaling pathway analyses, and tissue microarray analysis to detect novel distinct molecular aberrations in OSCC. |
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ISSN: | 1522-8002 1476-5586 |