The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Perspective: The precision-oncology illusion
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
Meric-Bernstam, F., Brusco, L., Shaw, K., Horombe, C., Kopetz, S., Davies, M. A., Routbort, M., Piha-Paul, S. A., Janku, F., Ueno, N., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.60.4165 · Cited by 424
Cited by
AACR Project GENIE: Powering Precision Medicine through an International Consortium
The AACR Project GENIE Consortium, The AACR Project GENIE Consortium, André, F., Arnedos, M., Baras, A. S., Baselga, J., Bedard, P. L., Berger, M. F., Bierkens, M., Calvo, F., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0151 · Cited by 1,964
Functional precision cancer medicine—moving beyond pure genomics
Letai, A. (2017) · Nature Medicine · doi:10.1038/nm.4389 · Cited by 366
Yan, J., Risacher, S. L., Shen, L., & Saykin, A. J. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx066 · Cited by 325
Patient-derived micro-organospheres enable clinical precision oncology
Ding, S., Hsu, C., Wang, Z., Natesh, N. R., Millen, R., Negrete, M., Giroux, N., Rivera, G. O., Dohlman, A., Bose, S., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.04.006 · Cited by 228
Clinical potential of mass spectrometry-based proteogenomics
Zhang, B., Whiteaker, J. R., Hoofnagle, A. N., Baird, G. S., Rodland, K. D., & Paulovich, A. G. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0135-7 · Cited by 210
Metadata
- Authors
- Prasad, V.
- Venue
- Nature
- Published
- 2016-09
- Volume
- 537
- Issue
- 7619
- Pages
- S63-S63
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2507626327
- Cited by
- 292
- References
- 1
- FWCI
- 15.89
- 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: Perspective: The precision-oncology illusion. https://app.cochat.ai/papers/10.1038/537s63a
- The paper
- Prasad, V. (2016). Perspective: The precision-oncology illusion. Nature. https://doi.org/10.1038/537s63a
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.
