| Autor: |
Joyner, David, L.Wade, Mark, Szabo, Aniko, Bastar, Jeffrey, Coffin, Cheryl, Albritton, Karen, Bernard, Philip, Randall, R. |
| Předmět: |
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| Zdroj: |
Journal of Cancer Research & Clinical Oncology; Mar2005, Vol. 131 Issue 3, p137-146, 10p |
| Abstrakt: |
Background: Mesenchymal neoplasia comprises a heterogeneous group of tumors with over 200 benign neoplasms and 100 sarcomas. Currently, tumors are Classifyed using histologic and immunocytologic characteristics, with diagnostic error rates reported as high as 40% of cases. As a feasibility study, our goal was to generate a preliminary discriminatory gene list for selected mesenchymal tumors, including sarcomas. This technique may enable an eventual molecular classification schema based on expression profiles that can complement current clinical and pathologic diagnostictissue tumors obtained at time of surgical resection or biopsy. Messenger RNA (mRNA) from four general tumor classes was competitively hybridized against a human dermal fibroblast cell line comparator and the resulting gene expression profiles processed by ANOVA and linear discriminate analysis. Results: The tissue classification involved 18 patients with malignant peripheral nerve sheath tumors, giant cell containing tumors, benign spindle cell lesions, or Ewing's family of tumors. Lymph nodes from two patients served comparative urposes. Twenty-five differentially regulated genes considered most variable among the five issue classes were identified. The tissues were segregated into five classes by linear discriminate nalysis. Conclusions: Linear discriminate analysis of cDNA gene expression profiles partitioned mesenchymal tumor classes, even when constrained by limited sample sizes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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