The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Whole Cancer Genome Sequencing by Next-Generation Methods
Abstract
Traditional approaches to sequence analysis are widely used to guide therapy for patients with lung and colorectal cancer and for patients with melanoma, sarcomas (eg, gastrointestinal stromal tumor), and subtypes of leukemia and lymphoma. The next-generation sequencing (NGS) approach holds a number of potential advantages over traditional methods, including the ability to fully sequence large numbers of genes (hundreds to thousands) in a single test and simultaneously detect deletions, insertions, copy number alterations, translocations, and exome-wide base substitutions (including known “hot-spot mutations”) in all known cancer-related genes. Adoption of clinical NGS testing will place significant demands on laboratory infrastructure and will require extensive computational expertise and a deep knowledge of cancer medicine and biology to generate truly useful “clinically actionable” reports. It is anticipated that continuing advances in NGS technology will lower the overall cost, speed the turnaround time, increase the breadth of genome sequencing, detect epigenetic markers and other important genomic parameters, and become applicable to smaller and smaller specimens, including circulating tumor cells and circulating free DNA in plasma.
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
Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
Wild-Type BRAF Is Required for Response to Panitumumab or Cetuximab in Metastatic Colorectal Cancer
Di Nicolantonio, F., Martini, M., Molinari, F., Sartore-Bianchi, A., Arena, S., Saletti, P., De Dosso, S., Mazzucchelli, L., Frattini, M., Siena, S., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2008.18.0786 · Cited by 1,591
Sartore-Bianchi, A., Di Nicolantonio, F., Nichelatti, M., Molinari, F., De Dosso, S., Saletti, P., Martini, M., Cipani, T., Marrapese, G., Mazzucchelli, L., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007287 · Cited by 259
Cited by
Targeted Next-Generation Sequencing Panel (ThyroSeq) for Detection of Mutations in Thyroid Cancer
Nikiforova, M. N., Wald, A. I., Roy, S., Durso, M. B., & Nikiforov, Y. E. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-2292 · Cited by 485
Mutation Profiling in Cholangiocarcinoma: Prognostic and Therapeutic Implications
Churi, C. R., Shroff, R., Wang, Y., Rashid, A., Kang, H. C., Weatherly, J., Zuo, M., Zinner, R., Hong, D., Meric-Bernstam, F., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115383 · Cited by 450
HER2 in Breast Cancer: A Review and Update
Krishnamurti, U., & Silverman, J. F. (2014) · Advances in Anatomic Pathology · doi:10.1097/pap.0000000000000015 · Cited by 328
DNA Qualification Workflow for Next Generation Sequencing of Histopathological Samples
Simbolo, M., Gottardi, M., Corbo, V., Fassan, M., Mafficini, A., Malpeli, G., Lawlor, R. T., & Scarpa, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062692 · Cited by 282
Metadata
- Authors
- Ross, J. S., & Cronin, M.
- Venue
- American Journal of Clinical Pathology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-10-01
- Volume
- 136
- Issue
- 4
- Pages
- 527-539
- ISSN
- 0002-9173 (ISSN-L)
- 1943-7722
- OpenAlex
- W2143489026
- Cited by
- 164
- References
- 5
- FWCI
- 8.34
- 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: Whole Cancer Genome Sequencing by Next-Generation Methods. https://app.cochat.ai/papers/10.1309/ajcpr1svt1vhugxw
- The paper
- Ross, J. S., & Cronin, M. (2011). Whole Cancer Genome Sequencing by Next-Generation Methods. American Journal of Clinical Pathology. https://doi.org/10.1309/ajcpr1svt1vhugxw
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.
