Transcriptomics

Dataset Information

0

Microarray analysis shows multiple signaling pathways are involved in basal cell carcinoma growth


ABSTRACT: BACKGROUND: Basal cell carcinoma (BCC) is the most common form of human cancer. Though the genetic mutation and subsequent aberrant signaling role of the Hedgehog pathway in BCC development is understood, little is known about the downstream genetic mechanisms underlying BCC growth. The characterization of molecular events would improve our understanding of carcinogenesis and may define new therapeutic intervention opportunities. OBJECTIVE: To identify differential gene expression associated with tumorigenesis promotion and to define common signaling pathways significant in BCC survival and growth. METHODS: Microarray analysis, using a 21K expanded sequence verified cDNA set was performed on tissues obtained from previously untreated patients undergoing Mohs surgical resection (8 superficial BCC, 8 nodular BCC, 7 morphea form, 8 normal skin). Significantly differentially expressed genes were identified by analysis of microarray results in various data sets and subsequently screened for signaling pathway involvement. Selected genes were validated using real-time PCR analysis using an expanded set of 31 BCC samples. RESULTS: The global gene expression profiles in BCCs and normal skin were distinguishable by unpaired T test. 2429 genes were at least 1.5 fold differentially expressed between BCC (all morphological types) and normal skin (p < 0.01). Multiple singaling pathways were activated, but the hedgehog, WNT, MAPK and calcium signal transduction pathways predominated. CONCLUSION: Our findings may have important implications for understanding the pathogenesis of BCC and suggest targeting of the WNT and MAPK pathways with therapeutic intervention. Keywords: disease state analysis

ORGANISM(S): Homo sapiens

PROVIDER: GSE6520 | GEO | 2006/12/15

SECONDARY ACCESSION(S): PRJNA98793

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2010-06-20 | E-GEOD-12542 | biostudies-arrayexpress
2018-01-15 | GSE20065 | GEO
2008-09-02 | GSE12542 | GEO
2016-03-14 | E-GEOD-77042 | biostudies-arrayexpress
2013-01-30 | E-GEOD-42109 | biostudies-arrayexpress
2020-02-19 | GSE118777 | GEO
2014-12-13 | GSE53462 | GEO
2016-03-14 | GSE77042 | GEO
2014-12-13 | E-GEOD-53462 | biostudies-arrayexpress
2023-12-22 | E-MTAB-13085 | biostudies-arrayexpress