The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Ki-67 expression and patients survival in lung cancer: systematic review of the literature with meta-analysis
Open accessAbstract
Among new biological markers that could become useful prognostic factors for lung carcinoma, Ki-67 is a nuclear protein involved in cell proliferation regulation. Some studies have suggested an association between Ki-67 and poor survival in lung cancer patients. In order to clarify this point, we have performed a systematic review of the literature, using the methodology already described by our Group, the European Lung Cancer Working Party. In total, 37 studies, including 3983 patients, were found to be eligible. In total, 49% of the patients were considered as having a tumour positive for the expression of Ki-67 according to the authors cutoff. In all, 29 of the studies dealt with non-small-cell lung carcinoma (NSCLC), one with small-cell carcinoma (SCLC), two with carcinoid tumours and five with any histology. In terms of survival results, Ki-67 was a bad prognosis factor for survival in 15 studies while it was not in 22. As there was no statistical difference in quality scores between the significant and nonsignificant studies evaluable for the meta-analysis, we were allowed to aggregate the survival results. The combined hazard ratio for NSCLC, calculated using a random-effects model was 1.56 (95% CI: 1.30-1.87), showing a worse survival when Ki-67 expression is increased. In conclusion, our meta-analysis shows that the expression of Ki-67 is a factor of poor prognosis for survival in NSCLC.
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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
The Ki-67 protein: From the known and the unknown
Scholzen, T., & Gerdes, J. (2000) · Journal of Cellular Physiology · doi:10.1002/(sici)1097-4652(200003)182:3<311::aid-jcp1>3.0.co;2-9 · Cited by 4,646
Beta blockade during and after myocardial infarction: An overview of the randomized trials
Yusuf, S., Peto, R., Lewis, J., Collins, R., & Sleight, P. (1985) · Progress in Cardiovascular Diseases · doi:10.1016/s0033-0620(85)80003-7 · Cited by 3,205
G 1 Events and Regulation of Cell Proliferation
Pardee, A. B. (1989) · Science · doi:10.1126/science.2683075 · Cited by 2,182
Prophylactic Cranial Irradiation for Patients with Small-Cell Lung Cancer in Complete Remission
Aupérin, A., Arriagada, R., Pignon, J.-P., Le Péchoux, C., Gregor, A., Stephens, R. J., Kristjansen, P. E. G., Johnson, B. E., Ueoka, H., Wagner, H., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908123410703 · Cited by 1,718
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
Language bias in randomised controlled trials published in English and German
Egger, M., Zellweger-Zähner, T., Schneider, M., Junker, C., Lengeler, C., & Antes, G. (1997) · The Lancet · doi:10.1016/s0140-6736(97)02419-7 · Cited by 1,028
Gerdes, J., Li, L., Schlueter, C. J., Duchrow, M., Wohlenberg, C., Gerlach, C., Stahmer, I., Kloth, S., Brandt, E., & Flad, H. D. (1991) · PubMed · Cited by 889
The Medical Review Article: State of the Science
MULROW, C. D. (1987) · Annals of Internal Medicine · doi:10.7326/0003-4819-106-3-485 · Cited by 856
Meta-analysis of the literature or of individual patient data: is there a difference?
Stewart, L. A., & Parmar, M. K. B. (1993) · The Lancet · doi:10.1016/0140-6736(93)93004-k · Cited by 769
Cited by
Travis, W. D., Brambilla, E., Noguchi, M., Nicholson, A. G., Geisinger, K. R., Yatabe, Y., Beer, D. G., Powell, C. A., Riely, G. J., Van Schil, P. E., et al. (2011) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318206a221 · Cited by 4,792
Self-citationBest Practices Recommendations for Diagnostic Immunohistochemistry in Lung Cancer
Yatabe, Y., Dacic, S., Borczuk, A. C., Warth, A., Russell, P. A., Lantuejoul, S., Beasley, M. B., Thunnissen, E., Pelosi, G., Rekhtman, N., et al. (2019) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2018.12.005 · Cited by 365
Sculier, J.-P., Chansky, K., Crowley, J. J., Van Meerbeeck, J., & Goldstraw, P. (2008) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e31816de2b8 · Cited by 337
Self-citationVesselle, H., Salskov, A., Turcotte, E., Wiens, L., Schmidt, R., Jordan, C. D., Vallières, E., & Wood, D. E. (2008) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e31818307a7 · Cited by 165
Salvi, S., Fontana, V., Boccardo, S., Merlo, D. F., Margallo, E., Laurent, S., Morabito, A., Rijavec, E., Dal Bello, M. G., Mora, M., et al. (2012) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-012-1211-y · Cited by 133
Metadata
- Authors
- Martin, B., Paesmans, M., Mascaux, C., Berghmans, T., Lothaire, P., Meert, A.-P., Lafitte, J.-J., & Sculier, J.-P.
- Venue
- British Journal of Cancer
- Published
- 2004-11-16
- Volume
- 91
- Issue
- 12
- Pages
- 2018-2025
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2067757569
- Cited by
- 277
- References
- 48
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Martin, B., Paesmans, M., Mascaux, C., Berghmans, T., Lothaire, P., Meert, A.-P., Lafitte, J.-J., & Sculier, J.-P. (2004). Ki-67 expression and patients survival in lung cancer: systematic review of the literature with meta-analysis. British Journal of Cancer. https://doi.org/10.1038/sj.bjc.6602233
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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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