The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Analysis of gene expression in cancer cell lines identifies candidate markers for pancreatic tumorigenesis and metastasis
Open accessAbstract
Pancreatic cancer is a highly aggressive type of malignancy and the prognosis for disease presenting typically at a late stage is extremely poor. A comprehensive understanding of its molecular genetics is required in order to develop new approaches to clinical management. To date, serial analysis of gene expression and more recently oligo/cDNA microarray technologies have been employed in order to identify genes involved in pancreatic neoplasia that can be developed as diagnostic markers and drug targets for this dismal disease. This study describes the expression profile obtained from 20 pancreatic cell lines using cDNA microarrays containing 9,932 human gene elements. Numerous genes were identified as being differentially expressed, some of which have been previously implicated in pancreatic adenocarcinoma (S100P, S100A4, prostate stem cell antigen, lipocalin 2, claudins 3 and 4, trefoil factors 1 and 2) as well as several novel genes. The differentially expressed genes identified are involved in a variety of cellular functions, including control of transcription, regulation of the cell cycle, proteolysis, cell adhesion and signaling. Validation of our array results was performed by exploring the SAGEmap database and by immunohistochemistry for a selection of 4 genes that have not previously been studied in pancreatic cancer: anterior gradient 2 homologue (Xenopus laevis), insulin‐like growth factor binding protein 3 and 4 and Forkhead box J1. Immunostaining was performed using pancreas‐specific tissue microarrays containing core biopsies from 305 clinical specimens. In addition, using statistical group comparison and hierarchical clustering, a selection of genes was identified that may be linked to the site of metastasis from which these cell lines were isolated. © 2004 Wiley‐Liss, Inc.
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Huber, W., von Heydebreck, A., Sültmann, H., Poustka, A., & Vingron, M. (2002) · Bioinformatics · doi:10.1093/bioinformatics/18.suppl_1.s96 · Cited by 2,440
Gene-expression profiles predict survival of patients with lung adenocarcinoma
Beer, D. G., Kardia, S. L. R., Huang, C.-C., Giordano, T. J., Levin, A. M., Misek, D. E., Lin, L., Chen, G., Gharib, T. G., Thomas, D. G., et al. (2002) · Nature Medicine · doi:10.1038/nm733 · Cited by 2,025
Identifying differentially expressed genes using false discovery rate controlling procedures
Reiner, A., Yekutieli, D., & Benjamini, Y. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf877 · Cited by 1,765
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Classification of HER2 Receptor Status in Breast Cancer Tissues by MALDI Imaging Mass Spectrometry
Rauser, S., Marquardt, C., Balluff, B., Deininger, S.-O., Albers, C., Belau, E., Hartmer, R., Suckau, D., Specht, K., Ebert, M. P., et al. (2010) · Journal of Proteome Research · doi:10.1021/pr901008d · Cited by 276
The trefoil factor family – small peptides with multiple functionalities
Kjellev, S. (2009) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-008-8646-5 · Cited by 260
Diverse functional roles of lipocalin-2 in the central nervous system
Jha, M. K., Lee, S., Park, D. H., Kook, H., Park, K.-G., Lee, I.-K., & Suk, K. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.12.006 · Cited by 195
S100P: a novel therapeutic target for cancer
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Metadata
- Authors
- Missiaglia, E., Blaveri, E., Terris, B., Wang, Y., Costello, E., Neoptolemos, J. P., Crnogorac‐Jurcevic, T., & Lemoine, N. R.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2004-06-02
- Volume
- 112
- Issue
- 1
- Pages
- 100-112
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W1982162547
- Cited by
- 164
- References
- 3
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Missiaglia, E., Blaveri, E., Terris, B., Wang, Y., Costello, E., Neoptolemos, J. P., Crnogorac‐Jurcevic, T., & Lemoine, N. R. (2004). Analysis of gene expression in cancer cell lines identifies candidate markers for pancreatic tumorigenesis and metastasis. International Journal of Cancer. https://doi.org/10.1002/ijc.20376
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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