The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Microvessel Density as a Prognostic Factor in Women with Breast Cancer
Abstract
We performed a meta-analysis of all 87 published studies linking intratumoral microvessel density (MVD), reflecting angiogenesis, to relapse-free survival (RFS) and overall survival (OS). With median MVD as cutoff, MVD impact was measured by risk ratio (RR) between the two survival distributions. Seventeen studies did not mention survival data or fit inclusion criteria. Twenty-two were multiple publications of the same series, leaving 43 independent studies (8936 patients). MVD was assessed by immunohistochemistry, using antibodies against factor VIII (27 studies; n = 5262), CD31 (10 studies; n = 2296), or CD34 (8 studies; n = 1726). MVD might be a better prognostic factor when assessed by CD31 or CD34 versus factor VIII (P = 0.11). For RFS, statistical calculations were performed in 25 studies (6501 patients). High MVD significantly predicted poor survival [RR = 1.54 for RFS and OS with the same 95% confidence interval (CI), 1.29–1.84]. Twenty-two studies analyzed separately lymph node-negative patients (n = 3580), for whom predictors of poor survival are requested. This latter meta-analysis included 15 studies for RFS (2727 patients) and 11 for OS (1926 patients). High MVD significantly predicted poor survival [RR = 1.99 for RFS (95% CI, 1.33–2.98) and RR = 1.54 for OS (95% CI, 1.01–2.33)]. Between-study variations could result from patient selection criteria, techniques to stain and count microvessels, and cutoff selection. MVD was a significant although weak prognostic factor in women with breast cancer. Standardization of MVD assessment is needed.
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Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., van 't Veer, L. J., Dai, H., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,488
Tumor Angiogenesis and Metastasis — Correlation in Invasive Breast Carcinoma
Weidner, N., Semple, J. P., Welch, W. R., & Folkman, J. (1991) · New England Journal of Medicine · doi:10.1056/nejm199101033240101 · Cited by 5,627
Parmar, M. K. B., Torri, V., & Stewart, L. (1998) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19981230)17:24<2815::aid-sim110>3.0.co;2-8 · Cited by 4,802
Relation of tumor size, lymph node status, and survival in 24,740 breast cancer cases
Carter, C. L., Allen, C., & Henson, D. E. (1989) · Cancer · doi:10.1002/1097-0142(19890101)63:1<181::aid-cncr2820630129>3.0.co;2-h · Cited by 2,288
Weidner, N., Folkman, J., Pozza, F., Bevilacqua, P., Allred, E. N., Moore, D. H., Meli, S., & Gasparini, G. (1992) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/84.24.1875 · Cited by 1,775
Stampfer, M. J., & Colditz, G. A. (1991) · Preventive Medicine · doi:10.1016/0091-7435(91)90006-p · Cited by 1,600
Bias and causal associations in observational research
Grimes, D. A., & Schulz, K. F. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07451-2 · Cited by 1,553
Association of macrophage infiltration with angiogenesis and prognosis in invasive breast carcinoma.
Leek, R., Lewis, C. E., Whitehouse, R. M., Greenall, M. J., Clarke, J., & Harris, A. L. (1996) · PubMed · Cited by 1,187
Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors
Altman, D. G., Lausen, B., Sauerbrei, W., & Schumacher, M. (1994) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/86.11.829 · Cited by 1,143
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Junttila, M. R., & de Sauvage, F. J. (2013) · Nature · doi:10.1038/nature12626 · Cited by 2,694
Evaluation of the Quality of Prognosis Studies in Systematic Reviews
Hayden, J. A., Côté, P., & Bombardier, C. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-6-200603210-00010 · Cited by 1,452
DeNardo, D. G., Barreto, J. B., Andreu, P., Vasquez, L., Tawfik, D., Kolhatkar, N., & Coussens, L. M. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.06.018 · Cited by 1,353
Martinet, L., Garrido, I., Filleron, T., Le Guellec, S., Bellard, E., Fournie, J.-J., Rochaix, P., & Girard, J.-P. (2011) · Cancer Research · doi:10.1158/0008-5472.can-11-0431 · Cited by 516
Tertiary lymphoid structures, drivers of the anti‐tumor responses in human cancers
Dieu‐Nosjean, M., Giraldo, N. A., Kaplon, H., Germain, C., Fridman, W. H., & Sautès‐Fridman, C. (2016) · Immunological Reviews · doi:10.1111/imr.12405 · Cited by 417
Metadata
- Authors
- Uzzan, B., Nicolas, P., Cucherat, M., & Perret, G.-Y.
- Venue
- Cancer Research
- Published
- 2004-05-01
- Volume
- 64
- Issue
- 9
- Pages
- 2941-2955
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2100608628
- Cited by
- 468
- References
- 132
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- closed
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