The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling
Open accessOverview
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
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Decision curve analysis: a novel method for evaluating prediction models
Vickers, A. J., & Elkin, E. B. (2006) · Medical Decision Making · doi:10.1177/0272989x06295361 · Cited by 6,341
Epstein, J. I., Allsbrook, W. C., Amin, M. B., & Egevad, L. L. (2005) · American Journal of Surgical Pathology · doi:10.1097/01.pas.0000173646.99337.b1 · Cited by 2,763
Screening for Prostate Cancer: U.S. Preventive Services Task Force Recommendation Statement
Moyer, V. A., & on behalf of the U.S. Preventive Services Task Force* (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-2-201207170-00459 · Cited by 2,522
Gene expression correlates of clinical prostate cancer behavior
Singh, D., Febbo, P. G., Ross, K., Jackson, D. G., Manola, J., Ladd, C., Tamayo, P., Renshaw, A. A., D'Amico, A. V., Richie, J. P., et al. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00030-2 · Cited by 2,512
Self-citationQuality of Life and Satisfaction with Outcome among Prostate-Cancer Survivors
Sanda, M. G., Dunn, R. L., Michalski, J., Sandler, H. M., Northouse, L., Hembroff, L., Lin, X., Greenfield, T. K., Litwin, M. S., Saigal, C. S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa074311 · Cited by 2,253
Self-citationRadical Prostatectomy versus Observation for Localized Prostate Cancer
Wilt, T. J., Brawer, M. K., Jones, K. M., Barry, M. J., Aronson, W. J., Fox, S., Gingrich, J. R., Wei, J. T., Gilhooly, P., Grob, B. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113162 · Cited by 1,770
Greenland, P. (2008) · Statistics in Medicine · doi:10.1002/sim.2976 · Cited by 1,300
Research works printed but not linked: 7
- Strope, 2010, Prostate cancer screening: current status and future perspectives, Nat Rev Urol, 7, 487, 10.1038/nrurol.2010.120 · doi:10.1038/nrurol.2010.120
- Ploussard, 2011, The contemporary concept of significant versus insignificant prostate cancer, Eur Urol, 60, 291, 10.1016/j.eururo.2011.05.006 · doi:10.1016/j.eururo.2011.05.006
- Magi-Galluzzi, 2007, RNA yields and RT-PCR gene expression profiles obtained from manual-microdissected, fixed-paraffin-embedded tissue (FPET) from prostate adenocarcinomas, Mod Pathol, 20, 352A
- Magi-Galluzzi, 2010, RNA yields and RT-PCR gene expression profiles obtained from manual-microdissected fixed paraffin-embedded prostate cancer needle core biopsies, Mod Pathol, 23, 205A
- Hong, 2014, Definitive pathology at radical prostatectomy is commonly favorable in men following initial active surveillance, Eur Urol, 66, 214, 10.1016/j.eururo.2013.08.001 · doi:10.1016/j.eururo.2013.08.001
- Donin, 2013, Gleason 6 prostate tumors diagnosed in the PSA era do not demonstrate the capacity for metastatic spread at the time of radical prostatectomy, Urology, 82, 148, 10.1016/j.urology.2013.03.054 · doi:10.1016/j.urology.2013.03.054
- Reese, 2012, The quantitative Gleason score improves prostate cancer risk assessment, Cancer, 118, 6046, 10.1002/cncr.27670 · doi:10.1002/cncr.27670
Cited by
Cullen, J., Rosner, I. L., Brand, T. C., Zhang, N., Tsiatis, A. C., Moncur, J., Ali, A., Chen, Y., Knezevic, D., Maddala, T., et al. (2015) · European Urology · doi:10.1016/j.eururo.2014.11.030 · Cited by 310
Self-citationBig data in basic and translational cancer research
Jiang, P., Sinha, S., Aldape, K., Hannenhalli, S., Sahinalp, C., & Ruppin, E. (2022) · Nature Reviews Cancer · doi:10.1038/s41568-022-00502-0 · Cited by 254
Blume-Jensen, P., Berman, D. M., Rimm, D. L., Shipitsin, M., Putzi, M., Nifong, T. P., Small, C., Choudhury, S., Capela, T., Coupal, L., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-2603 · Cited by 179
Self-citationPrognostic Genomic Tissue-Based Biomarkers in the Treatment of Localized Prostate Cancer
Ingrosso, G., Alì, E., Marani, S., Saldi, S., Bellavita, R., & Aristei, C. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12010065 · Cited by 9
A decision-oriented framework for genomic testing across the prostate cancer continuum
Cobran, E. K., Samadder, N. J., Schaid, D. J., Conti, D. V., Haiman, C., Vargas, L., Gionfriddo, M. R., & Tilburt, J. C. (2026) · Cancer Genetics · doi:10.1016/j.cancergen.2026.06.002 · Cited by 1
Metadata
- Authors
- Klein, E. A., Cooperberg, M. R., Magi-Galluzzi, C., Simko, J. P., Falzarano, S. M., Maddala, T., Chan, J. M., Li, J., Cowan, J. E., Tsiatis, A. C., Cherbavaz, D. B., Pelham, R. J., Tenggara-Hunter, I., Baehner, F. L., Knezevic, D., Febbo, P. G., Shak, S., Kattan, M. W., Lee, M., & Carroll, P. R.
- Venue
- European Urology
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 66
- Issue
- 3
- Pages
- 550-560
- ISSN
- 0302-2838 (ISSN-L)
- OpenAlex
- W2151494814
- Cited by
- 659
- References
- 48
- FWCI
- 59.61
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- U.S. Department of Defense (W81XWH-13-2-0074)
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: A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling. https://app.cochat.ai/papers/10.1016/j.eururo.2014.05.004
- The paper
- Klein, E. A., Cooperberg, M. R., Magi-Galluzzi, C., Simko, J. P., Falzarano, S. M., Maddala, T., Chan, J. M., Li, J., Cowan, J. E., Tsiatis, A. C., Cherbavaz, D. B., Pelham, R. J., Tenggara-Hunter, I., Baehner, F. L., Knezevic, D., Febbo, P. G., Shak, S., Kattan, M. W., Lee, M., & Carroll, P. R. (2014). A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling. European Urology. https://doi.org/10.1016/j.eururo.2014.05.004
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.