The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Use of Archived Specimens in Evaluation of Prognostic and Predictive Biomarkers
Open accessAbstract
The development of tumor biomarkers ready for clinical use is complex. We propose a refined system for biomarker study design, conduct, analysis, and evaluation that incorporates a hierarchal level of evidence scale for tumor marker studies, including those using archived specimens. Although fully prospective randomized clinical trials to evaluate the medical utility of a prognostic or predictive biomarker are the gold standard, such trials are costly, so we discuss more efficient indirect "prospective-retrospective" designs using archived specimens. In particular, we propose new guidelines that stipulate that 1) adequate amounts of archived tissue must be available from enough patients from a prospective trial (which for predictive factors should generally be a randomized design) for analyses to have adequate statistical power and for the patients included in the evaluation to be clearly representative of the patients in the trial; 2) the test should be analytically and preanalytically validated for use with archived tissue; 3) the plan for biomarker evaluation should be completely specified in writing before the performance of biomarker assays on archived tissue and should be focused on evaluation of a single completely defined classifier; and 4) the results from archived specimens should be validated using specimens from one or more similar, but separate, studies.
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Citations
Cites
Wild-Type KRAS Is Required for Panitumumab Efficacy in Patients With Metastatic Colorectal Cancer
Amado, R. G., Wolf, M., Peeters, M., Van Cutsem, E., Siena, S., Freeman, D. J., Juan, T., Sikorski, R., Suggs, S., Radinsky, R., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.14.7116 · Cited by 3,207
Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)
McShane, L. M., Altman, D. G., Sauerbrei, W., Taube, S. E., Gion, M., & Clark, G. M. (2005) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/dji237 · Cited by 2,162
Allegra, C. J., Jessup, J. M., Somerfield, M. R., Hamilton, S. R., Hammond, E. H., Hayes, D. F., McAllister, P. K., Morton, R. F., & Schilsky, R. L. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2009.21.9170 · Cited by 1,156
Self-citation
Cited by
EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma
Galle, P. R., Forner, A., Llovet, J. M., Mazzaferro, V., Piscaglia, F., Raoul, J.-L., Schirmacher, P., & Vilgrain, V. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2018.03.019 · Cited by 11,406
Radiomics: Images Are More than Pictures, They Are Data
Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016) · Radiology · doi:10.1148/radiol.2015151169 · Cited by 8,421
EASL–EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma
European Association for the Study of the Liver, & European Organisation for Research and Treatment of Cancer (2012) · Journal of Hepatology · doi:10.1016/j.jhep.2011.12.001 · Cited by 5,218
“Strict rules for incorporating prognostic or predictive markers into clinical practice have been published [134].”
BackgroundAdjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer
Sparano, J. A., Gray, R. J., Makower, D. F., Pritchard, K. I., Albain, K. S., Hayes, D. F., Geyer, C. E., Dees, E. C., Goetz, M. P., Olson, J. A., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1804710 · Cited by 2,397
Self-citationRadiomics: the process and the challenges
Kumar, V., Gu, Y., Basu, S., Berglund, A., Eschrich, S. A., Schabath, M. B., Forster, K., Aerts, H. J. W. L., Dekker, A., Fenstermacher, D., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.06.010 · Cited by 2,258
“Following the best practices in developing and then independently validating the observations in a distinct cohort is essential for reproducible results [92].”
Method
Metadata
- Authors
- Simon, R. M., Paik, S., & Hayes, D. F.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-10-08
- Volume
- 101
- Issue
- 21
- Pages
- 1446-1452
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2113499049
- Cited by
- 1,037
- References
- 3
- FWCI
- 16.71
- Type
- journal article
- Language
- en
- Open access
- green
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- Simon, R. M., Paik, S., & Hayes, D. F. (2009). Use of Archived Specimens in Evaluation of Prognostic and Predictive Biomarkers. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djp335
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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.