title: Gene expression pattern in oral cancer cervical lymph node metastasis.
abstract: Treatment protocols for malignant tumors in the oral cavity differ greatly based on the presence of cervical lymph node metastasis. We applied gene expression profiling to the pathological lymph node status and used a training-test approach to evaluate the reliability of cDNA microarray-based classifications of 15 matched resected primary oral squamous cell carcinomas (OSCCs) and corresponding normal oral tissues. The clustering of all the microarray data was separated into two groups based on metastatic node positivity and node negativity. Furthermore, a 20-gene signature was identified that differentiated the testing set (n=8) with high classification accuracy (88%). Our findings support the hypothesis that the lymph node metastasis status can be predicted using the gene expression patterns of the primary OSCC, and may be a powerful tool in identifying patients at high risk of lymph node metastasis.
authors.affiliation: Department of Clinical Molecular Biology, Graduate School of Medicine, Chiba University, Inohana, Chiba 260-8670, Japan.
authors.forename: Yoshikuni
authors.initials: Y
authors.lastname: Kato
authors.forename: Katsuhiro
authors.initials: K
authors.lastname: Uzawa
authors.forename: Kengo
authors.initials: K
authors.lastname: Saito
authors.forename: Dai
authors.initials: D
authors.lastname: Nakashima
authors.forename: Masaki
authors.initials: M
authors.lastname: Kato
authors.forename: Yoshinori
authors.initials: Y
authors.lastname: Nimura
authors.forename: Naohiko
authors.initials: N
authors.lastname: Seki
authors.forename: Hideki
authors.initials: H
authors.lastname: Tanzawa
mesh_terms: D000368:Aged; D002294:Carcinoma, Squamous Cell / Q000235:genetics* / Q000378:metabolism / Q000473:pathology*; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008207:Lymphatic Metastasis; D046228:Microarray Analysis / Q000379:methods; D008875:Middle Aged; D009062:Mouth Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology*