The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Comprehensive Genomic Profiling of Carcinoma of Unknown Primary Site: New Routes to Targeted Therapies
Open accessAbstract
Importance: For carcinoma of unknown primary site (CUP), determining the primary tumor site may be uninformative and often does not improve outcome. Objective: To discover opportunities for targeted therapies in patients with CUP not currently searched for in routine practice. Design, Setting, and Participants: Comprehensive genomic profiling on 200 CUP formalin-fixed paraffin-embedded specimens (mean, 756× coverage) using the hybrid-capture–based FoundationOne assay at academic and community oncology clinics. Main Outcomes and Measures: Presence of targetable genomic alterations (GAs) in CUP and responses to targeted therapies. Results: There were 125 adenocarcinomas of unknown primary site (ACUPs) and 75 carcinomas of unknown primary site without features of adenocarcinoma (non-ACUPs). At least 1 GA was found in 192 (96%) of CUP specimens, with a mean (SD) of 4.2 (2.8) GAs per tumor. The most frequent GAs were in TP53 (110 [55%]), KRAS (40 [20%]), CDKN2A (37 [19%]), MYC (23 [12%]), ARID1A (21 [11%]), MCL1 (19 [10%]), PIK3CA (17 [9%]), ERBB2 (16 [8%]), PTEN (14 [7%]), EGFR (12 [6%]), SMAD4 (13 [7%]), STK11 (13 [7%]), SMARCA4 (12 [6%]), RB1 (12 [6%]), RICTOR (12 [6%]), MLL2 (12 [6%]), BRAF (11 [6%]), and BRCA2 (11 [6%]). One or more potentially targetable GAs were identified in 169 of 200 (85%) CUP specimens. Mutations or amplifications of ERBB2 were more frequent in ACUPs (13 [10%]) than in non-ACUPs (3 [4%]). Alterations of EGFR (10 [8%] vs 2 [3%]) and BRAF (8 [6%] vs 3 [4%]) were more common in ACUPs than in non-ACUPs. Strikingly, clinically relevant alterations in the receptor tyrosine kinase (RTK)/Ras signaling pathway including alterations in ALK, ARAF, BRAF, EGFR, FGFR1, FGFR2, KIT, KRAS, MAP2K1, MET, NF1, NF2, NRAS, RAF1, RET, and ROS1 were found in 90 (72%) ACUPs but in only 29 (39%) non-ACUPs (P < .001). Conclusions and Relevance: Almost all CUP samples harbored at least 1 clinically relevant GA with potential to influence and personalize therapy. The ACUP tumors were more frequently driven by GAs in the highly druggable RTK/Ras/mitogen-activated protein kinase (MAPK) signaling pathway than the non-ACUP tumors. Comprehensive genomic profiling can identify novel treatment paradigms to address the limited options and poor prognoses of patients with CUP.
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
The cancer genome atlas pan-cancer analysis project
The Cancer Genome Atlas Research Network, Weinstein, J. N., Collisson, E. A., Mills, G. B., Shaw, K. R. M., Ozenberger, B. A., Ellrott, K., Shmulevich, I., Sander, C., & Stuart, J. M. (2013) · Nature Genetics · doi:10.1038/ng.2764 · Cited by 9,092
Frampton, G. M., Fichtenholtz, A., Otto, G. A., Wang, K., Downing, S. R., He, J., Schnall-Levin, M., White, J., Sanford, E. M., An, P., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2696 · Cited by 2,157
How to apply de Bruijn graphs to genome assembly
Compeau, P. E. C., Pevzner, P. A., & Tesler, G. (2011) · Nature Biotechnology · doi:10.1038/nbt.2023 · Cited by 673
Mazières, J., Peters, S., Lepage, B., Cortot, A. B., Barlesi, F., Beau-Faller, M., Besse, B., Blons, H., Mansuet-Lupo, A., Urban, T., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.6095 · Cited by 668
Cited by
Zehir, A., Benayed, R., Shah, R. H., Syed, A., Middha, S., Kim, H. R., Srinivasan, P., Gao, J., Chakravarty, D., Devlin, S. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4333 · Cited by 3,380
The Precision Medicine Initiative: A New National Effort
Ashley, E. A. (2015) · JAMA · doi:10.1001/jama.2015.3595 · Cited by 560
Epigenetic profiling to classify cancer of unknown primary: a multicentre, retrospective analysis
Moran, S., Martínez-Cardús, A., Sayols, S., Musulén, E., Balañá, C., Estival-Gonzalez, A., Moutinho, C., Heyn, H., Diaz-Lagares, A., de Moura, M. C., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30297-2 · Cited by 484
Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer
Suehnholz, S. P., Nissan, M. H., Zhang, H., Kundra, R., Nandakumar, S., Lu, C., Carrero, S., Dhaneshwar, A., Fernandez, N., Xu, B. W., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-0467 · Cited by 401
Chakravarty, D., Johnson, A., Sklar, J., Lindeman, N. I., Moore, K., Ganesan, S., Lovly, C. M., Perlmutter, J., Gray, S. W., Hwang, J., et al. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.21.02767 · Cited by 266
Metadata
- Authors
- Ross, J. S., Wang, K., Gay, L., Otto, G. A., White, E., Iwanik, K., Palmer, G., Yelensky, R., Lipson, D. M., Chmielecki, J., Erlich, R. L., Rankin, A. N., Ali, S. M., Elvin, J. A., Morosini, D., Miller, V. A., & Stephens, P. J.
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2015-04-01
- Volume
- 1
- Issue
- 1
- Pages
- 40
- ISSN
- 2374-2437 (ISSN-L)
- OpenAlex
- W2078276694
- Cited by
- 244
- References
- 4
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Comprehensive Genomic Profiling of Carcinoma of Unknown Primary Site: New Routes to Targeted Therapies. https://app.cochat.ai/papers/10.1001/jamaoncol.2014.216
- The paper
- Ross, J. S., Wang, K., Gay, L., Otto, G. A., White, E., Iwanik, K., Palmer, G., Yelensky, R., Lipson, D. M., Chmielecki, J., Erlich, R. L., Rankin, A. N., Ali, S. M., Elvin, J. A., Morosini, D., Miller, V. A., & Stephens, P. J. (2015). Comprehensive Genomic Profiling of Carcinoma of Unknown Primary Site: New Routes to Targeted Therapies. JAMA Oncology. https://doi.org/10.1001/jamaoncol.2014.216
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.
