The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Prognostic Significance of Vascular Endothelial Growth Factor Protein in Node-Negative Breast Carcinoma
Abstract
BACKGROUND: The clinical outcome is generally positive for patients with node-negative breast carcinoma (i.e., those who do not have detectable metastases in the lymph nodes) who have been treated with surgery or surgery plus radiation therapy. In about 30% of the patients, however, the disease recurs, and they are at risk of death. Determination of valid new prognostic indicators would improve the ability to identify patients at high risk of recurrence. Breast cancer can entail substantial development of new blood vessels within the tumor tissue, and it is known that the growth and metastasis of solid tumors are dependent on such angiogenesis. The conversion of tumor cells to an angiogenic phenotype may be preceded by a change in the balance of angiogenic growth factors and angiogenesis inhibitors. PURPOSE: This study was conducted to determine if the levels of vascular endothelial growth factor (VEGF) protein, a potent endothelial growth factor and mediator of vascular permeability and angiogenesis, measured in the primary tumors of women with node-negative breast cancer are associated with known prognostic factors and patient survival. METHODS: By use of a selective enzymatic immunoassay, levels of VEGF protein were measured in cytosolic extracts of primary tumor tissue surgically obtained from 260 women with node-negative breast carcinoma who had been treated with surgery with or without radiation therapy but not with adjuvant therapy and who had been followed for a median time of 66 months. The relationships between VEGF concentrations and other prognostic dichotomous variables or clinical outcome were tested by the use of the Kolmogorov-Smirnov test and univariate and multivariate Cox analyses, respectively. The relationship between VEGF and hormone receptors (i.e., those for estrogen and progesterone) was examined by the use of Spearman's correlation analyses. All P values resulted from the use of two-sided statistical tests. RESULTS: Tumors from 247 (95%) of the 260 patients had detectable VEGF, ranging in concentration from 5.0 to 6523 pg/mg protein (median, 126.25 pg/mg protein). No statistically significant associations were found between VEGF and the other prognostic factors (e.g., age, menopausal status, histologic tumor type, tumor size, and hormone receptors) examined. Levels of VEGF were found to be prognostic for both relapse-free and overall survival in univariate and multivariate analyses (likelihood ratio tests; all four P values < .001). In the multivariate analysis, the first-order interaction term of VEGF and estrogen receptor was also prognostic for overall survival (likelihood ratio test; P = .05). CONCLUSIONS: The results show that cytosolic levels of VEGF in tumor tissue samples are indicative of prognosis for patients with node-negative breast carcinoma.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Angiogenesis in cancer, vascular, rheumatoid and other disease
Folkman, J. (1995) · Nature Medicine · doi:10.1038/nm0195-27 · Cited by 7,627
Patterns and emerging mechanisms of the angiogenic switch during tumorigenesis
Hanahan, D., & Folkman, J. (1996) · Cell · doi:10.1016/s0092-8674(00)80108-7 · Cited by 6,885
Nonparametric Statistical Methods
(1999) · Technometrics · doi:10.1080/00401706.1999.10485954 · Cited by 6,090
(2015) · American Journal Of Pathology · doi:10.2353/ajpath · Cited by 4,908
Abnormal blood vessel development and lethality in embryos lacking a single VEGF allele
Carmeliet, P., Ferreira, V., Breier, G., Pollefeyt, S., Kieckens, L., Gertsenstein, M., Fahrig, M., Vandenhoeck, A., Harpal, K., Eberhardt, C., et al. (1996) · Nature · doi:10.1038/380435a0 · Cited by 4,117
Aiello, L. P., Avery, R. L., Arrigg, P. G., Keyt, B. A., Jampel, H. D., Shah, S. T., Pasquale, L. R., Thieme, H., Iwamoto, M. A., Park, J. E., et al. (1994) · New England Journal of Medicine · doi:10.1056/nejm199412013312203 · Cited by 3,793
Heterozygous embryonic lethality induced by targeted inactivation of the VEGF gene
Ferrara, N., Carver-Moore, K., Chen, H., Dowd, M., Lu, L., O'Shea, K. S., Powell-Braxton, L., Hillan, K. J., & Moore, M. W. (1996) · Nature · doi:10.1038/380439a0 · Cited by 3,628
Kim, K. J., Li, B., Winer, J., Armanini, M., Gillett, N., Phillips, H. S., & Ferrara, N. (1993) · Nature · doi:10.1038/362841a0 · Cited by 3,605
Dvorak, H. F., Brown, L. F., Detmar, M. J., & Dvořàk, A. M. (1995) · Europe PMC (PubMed Central) · Cited by 3,115
Flexible regression models with cubic splines
Durrleman, S., & Simon, R. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080504 · Cited by 2,689
Cited by
Clinical applications of angiogenic growth factors and their inhibitors
Ferrara, N., & Alitalo, K. (1999) · Nature Medicine · doi:10.1038/70928 · Cited by 1,004
Vergis, R., Corbishley, C. M., Norman, A. R., Bartlett, J., Jhavar, S., Borre, M., Heeboll, S., Horwich, A., Huddart, R., Khoo, V., et al. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70076-7 · Cited by 282
Olenyuk, B. Z., Zhang, G.-J., Klco, J. M., Nickols, N. G., Kaelin, W. G., & Dervan, P. B. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407617101 · Cited by 219
Helczynska, K., Larsson, A.-M., Holmquist Mengelbier, L., Bridges, E., Fredlund, E., Borgquist, S., Landberg, G., Påhlman, S., & Jirström, K. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-1135 · Cited by 136
Metadata
- Authors
- Gasparini, G., Bonoldi, E., Gatti, C., Vinante, O., Toi, M., Tominaga, T., Gion, M., Dittadi, R., Verderio, P., Boracchi, P., Hanatani, M., Matsubara, I., & Suzuki, H.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-01-15
- Volume
- 89
- Issue
- 2
- Pages
- 139-147
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2013965516
- Cited by
- 494
- References
- 47
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prognostic Significance of Vascular Endothelial Growth Factor Protein in Node-Negative Breast Carcinoma. https://app.cochat.ai/papers/10.1093/jnci/89.2.139
- The paper
- Gasparini, G., Bonoldi, E., Gatti, C., Vinante, O., Toi, M., Tominaga, T., Gion, M., Dittadi, R., Verderio, P., Boracchi, P., Hanatani, M., Matsubara, I., & Suzuki, H. (1997). Prognostic Significance of Vascular Endothelial Growth Factor Protein in Node-Negative Breast Carcinoma. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/89.2.139
Data sources
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.