The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Multifocal clonal evolution characterized using circulating tumour DNA in a case of metastatic breast cancer
Open accessAbstract
Circulating tumour DNA analysis can be used to track tumour burden and analyse cancer genomes non-invasively but the extent to which it represents metastatic heterogeneity is unknown. Here we follow a patient with metastatic ER-positive and HER2-positive breast cancer receiving two lines of targeted therapy over 3 years. We characterize genomic architecture and infer clonal evolution in eight tumour biopsies and nine plasma samples collected over 1,193 days of clinical follow-up using exome and targeted amplicon sequencing. Mutation levels in the plasma samples reflect the clonal hierarchy inferred from sequencing of tumour biopsies. Serial changes in circulating levels of sub-clonal private mutations correlate with different treatment responses between metastatic sites. This comparison of biopsy and plasma samples in a single patient with metastatic breast cancer shows that circulating tumour DNA can allow real-time sampling of multifocal clonal evolution.
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 Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774 · cited 1×
“A mutation was identified if (1) no mutant reads for an allele were observed in germline DNA (N1) at a locus that was covered at least 10-fold, (2) at least five reads supporting the mutant were observed in any tumour or plasma sample with at least one read on each strand (forward and reverse) and (3) the binomial pro…”
BackgroundAn ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
Newman, A. M., Bratman, S. V., To, J., Wynne, J. F., Eclov, N. C. W., Modlin, L. A., Liu, C. L., Neal, J. W., Wakelee, H. A., Merritt, R. E., et al. (2014) · Nature Medicine · doi:10.1038/nm.3519 · Cited by 2,220
Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer
Dawson, S.-J., Tsui, D. W. Y., Murtaza, M., Biggs, H., Rueda, O. M., Chin, S.-F., Dunning, M. J., Gale, D., Forshew, T., Mahler-Araujo, B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1213261 · Cited by 2,207
Self-citationThe clonal and mutational evolution spectrum of primary triple-negative breast cancers
Shah, S. P., Roth, A., Goya, R., Oloumi, A., Ha, G., Zhao, Y., Turashvili, G., Ding, J., Tse, K., Haffari, G., et al. (2012) · Nature · doi:10.1038/nature10933 · Cited by 1,967
Self-citationThe molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers
Diaz Jr, L. A., Williams, R. T., Wu, J., Kinde, I., Hecht, J. R., Berlin, J., Allen, B., Bozic, I., Reiter, J. G., Nowak, M. A., et al. (2012) · Nature · doi:10.1038/nature11219 · Cited by 1,713
Berns, K., Horlings, H. M., Hennessy, B. T., Madiredjo, M., Hijmans, E. M., Beelen, K., Linn, S. C., Gonzalez-Angulo, A. M., Stemke-Hale, K., Hauptmann, M., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.08.030 · Cited by 1,627
Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA
Murtaza, M., Dawson, S.-J., Tsui, D. W. Y., Gale, D., Forshew, T., Piskorz, A. M., Parkinson, C., Chin, S.-F., Kingsbury, Z., Wong, A. S. C., et al. (2013) · Nature · doi:10.1038/nature12065 · Cited by 1,624
Self-citation
Cited by
A view on drug resistance in cancer
Vasan, N., Baselga, J., & Hyman, D. M. (2019) · Nature · doi:10.1038/s41586-019-1730-1 · Cited by 2,770
Liquid biopsies come of age: Towards implementation of circulating tumour DNA
Wan, J. C. M., Massie, C., Garcia-Corbacho, J., Mouliere, F., Brenton, J. D., Caldas, C., Pacey, S., Baird, R., & Rosenfeld, N. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.7 · Cited by 2,809
Self-citationIntegrating liquid biopsies into the management of cancer
Siravegna, G., Marsoni, S., Siena, S., & Bardelli, A. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.14 · Cited by 1,908
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution
The TRACERx consortium, Abbosh, C., The PEACE consortium, Birkbak, N. J., Wilson, G. A., Jamal-Hanjani, M., Constantin, T., Salari, R., Le Quesne, J., Moore, D. A., et al. (2017) · Nature · doi:10.1038/nature22364 · Cited by 1,874
Current and future perspectives of liquid biopsies in genomics-driven oncology
Heitzer, E., Haque, I. S., Roberts, C. E. S., & Speicher, M. R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0071-5 · Cited by 1,557
Metadata
- Authors
- Murtaza, M., Dawson, S.-J., Pogrebniak, K., Rueda, O. M., Provenzano, E., Grant, J., Chin, S.-F., Tsui, D. W. Y., Marass, F., Gale, D., Ali, H. R., Shah, P., Contente-Cuomo, T., Farahani, H., Shumansky, K., Kingsbury, Z., Humphray, S., Bentley, D., Shah, S. P., Wallis, M., Rosenfeld, N., & Caldas, C.
- Venue
- Nature Communications
- Published
- 2015-11-04
- Volume
- 6
- Issue
- 1
- Pages
- 8760-8760
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2119263822
- Cited by
- 483
- References
- 9
- FWCI
- 16.58
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.
