caa a22 4500 378874322 CHVBK 20180305123417.0 cr unu---uuuuu 161128e20030220xx s 000 0 eng 10.1515/BC.2003.037 doi (NATIONALLICENCE)gruyter-10.1515/BC.2003.037 A Bioinformatic Approach to the Identificationof Candidate Genes for the Development ofNew Cancer Diagnostics [Elektronische Daten] [G. Musumarra, V. Barresi, D.F. Condorelli, S. Scirè] A multivariate analysis of the National Cancer Institute gene expression database is reported here. The soft independent modelling of a class analogy approach achieved cell line classification according to histological origin. With the PCA method, based on the expression of 9605 genes and ESTs, classification of colon, leukaemia, renal, melanoma and CNS cells could be performed, but not of lung, breast and ovarian cells. Another multivariate procedure, called partial least squares discriminant analysis (PLS-DA), provides bioinformatic clues for the selection of a limited number of gene transcripts most effective in discriminating different tumoral histotypes. Among them it is possible to identify candidates in the development of new diagnostic tests for cancer detection and unknown genes deserving high priority in further studies. In particular, melan-A, acid phosphatase 5, dopachrome tautomerase, S100-β and acid ceramidase were found to be among the most important genes for melanoma. The potential of the present bioinformatic approach is exemplified by its ability to identify differentiation and diagnostic markers already in use in clinical settings, such as protein S-100, a prognostic parameter in patients with metastatic melanoma and a screening marker for melanoma metastasis. Copyright © 2003 by Walter de Gruyter GmbH & Co. KG Biochemistry nationallicence Molecular biology nationallicence Cellular biology nationallicence Musumarra G. aut Barresi V. aut Condorelli D.F. aut Scirè S. aut Biological Chemistry Walter de Gruyter 384/2(2003-02-20), 321-327 1431-6730 384:2<321 2003 384 bchm https://doi.org/10.1515/BC.2003.037 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.1515/BC.2003.037 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Musumarra G. aut NATIONALLICENCE 700 1- Barresi V. aut NATIONALLICENCE 700 1- Condorelli D.F. aut NATIONALLICENCE 700 1- Scirè S. aut NATIONALLICENCE 773 0- Biological Chemistry Walter de Gruyter 384/2(2003-02-20), 321-327 1431-6730 384:2<321 2003 384 bchm CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter