The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Evidence for a Novel Gene Associated With Low Tumor Metastatic Potential
Abstract
We describe a gene, NM23, that is associated with the tumor metastatic process. NM23 RNA levels were highest in cells and tumors of relatively low metastatic potential in two experimental systems: (1) murine K-1735 melanoma cell lines, in which the gene was identified, and (2) N-nitroso-N-methylurea-induced rat mammary carcinomas. NM23 RNA levels did not correlate with cell sensitivity to host immunological responses and may, therefore, be associated with intrinsic aggressiveness. The predicted carboxy-terminal protein sequence encoded by the pNM23 cDNA clone is novel compared with Genebank animal, bacterial, and viral sequences.
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Cites
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Cited by
Roodman, G. D. (2004) · New England Journal of Medicine · doi:10.1056/nejmra030831 · Cited by 2,755
Cancer metastasis and angiogenesis: An imbalance of positive and negative regulation
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Self-citationTumor interactions with the vasculature: angiogenesis and tumor metastasis
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Metadata
- Authors
- Steeg, P. S., Bevilacqua, G., Kopper, L., Thorgeirsson, U. P., Talmadge, J. E., Liotta, L. A., & Sobel, M. E.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 1988-04-06
- Volume
- 80
- Issue
- 3
- Pages
- 200-204
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2007599495
- Cited by
- 1,300
- References
- 18
- FWCI
- 6.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Steeg, P. S., Bevilacqua, G., Kopper, L., Thorgeirsson, U. P., Talmadge, J. E., Liotta, L. A., & Sobel, M. E. (1988). Evidence for a Novel Gene Associated With Low Tumor Metastatic Potential. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/80.3.200
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
