The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Changes in Colorectal Carcinoma Genomes under Anti-EGFR Therapy Identified by Whole-Genome Plasma DNA Sequencing
Open accessAbstract
Monoclonal antibodies targeting the Epidermal Growth Factor Receptor (EGFR), such as cetuximab and panitumumab, have evolved to important therapeutic options in metastatic colorectal cancer (CRC). However, almost all patients with clinical response to anti-EGFR therapies show disease progression within a few months and little is known about mechanism and timing of resistance evolution. Here we analyzed plasma DNA from ten patients treated with anti-EGFR therapy by whole genome sequencing (plasma-Seq) and ultra-sensitive deep sequencing of genes associated with resistance to anti-EGFR treatment such as KRAS, BRAF, PIK3CA, and EGFR. Surprisingly, we observed that the development of resistance to anti-EGFR therapies was associated with acquired gains of KRAS in four patients (40%), which occurred either as novel focal amplifications (n = 3) or as high level polysomy of 12p (n = 1). In addition, we observed focal amplifications of other genes recently shown to be involved in acquired resistance to anti-EGFR therapies, such as MET (n = 2) and ERBB2 (n = 1). Overrepresentation of the EGFR gene was associated with a good initial anti-EGFR efficacy. Overall, we identified predictive biomarkers associated with anti-EGFR efficacy in seven patients (70%), which correlated well with treatment response. In contrast, ultra-sensitive deep sequencing of KRAS, BRAF, PIK3CA, and EGFR did not reveal the occurrence of novel, acquired mutations. Thus, plasma-Seq enables the identification of novel mutant clones and may therefore facilitate early adjustments of therapies that may delay or prevent disease progression.
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
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
Cunningham, D., Humblet, Y., Siena, S., Khayat, D., Bleiberg, H., Santoro, A., Bets, D., Mueser, M., Harstrick, A., Verslype, C., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa033025 · Cited by 5,035
Cetuximab and Chemotherapy as Initial Treatment for Metastatic Colorectal Cancer
Van Cutsem, E., Köhne, C.-H., Hitre, E., Zaluski, J., Chang Chien, C.-R., Makhson, A., D'Haens, G., Pintér, T., Lim, R., Bodoky, G., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0805019 · Cited by 3,877
Wild-Type KRAS Is Required for Panitumumab Efficacy in Patients With Metastatic Colorectal Cancer
Amado, R. G., Wolf, M., Peeters, M., Van Cutsem, E., Siena, S., Freeman, D. J., Juan, T., Sikorski, R., Suggs, S., Radinsky, R., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.14.7116 · Cited by 3,207 · cited 1×
“Colorectal carcinomas that are wild type for KRAS are often sensitive to EGFR blockade [1,3] and therefore KRAS testing can prevent both ineffective treatment and treatment-associated toxicity.”
BackgroundPanitumumab–FOLFOX4 Treatment and RAS Mutations in Colorectal Cancer
Douillard, J.-Y., Oliner, K. S., Siena, S., Tabernero, J., Burkes, R., Barugel, M., Humblet, Y., Bodoky, G., Cunningham, D., Jassem, J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1305275 · Cited by 2,263
De Roock, W., Claes, B., Bernasconi, D., De Schutter, J., Biesmans, B., Fountzilas, G., Kalogeras, K. T., Kotoula, V., Papamichael, D., Laurent-Puig, P., et al. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(10)70130-3 · Cited by 2,144
Van Cutsem, E., Peeters, M., Siena, S., Humblet, Y., Hendlisz, A., Neyns, B., Canon, J.-L., Van Laethem, J.-L., Maurel, J., Richardson, G., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.08.1620 · Cited by 1,979
Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer
Misale, S., Yaeger, R., Hobor, S., Scala, E., Janakiraman, M., Liska, D., Valtorta, E., Schiavo, R., Buscarino, M., Siravegna, G., et al. (2012) · Nature · doi:10.1038/nature11156 · Cited by 1,889
The 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
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
Cited by
ESMO consensus guidelines for the management of patients with metastatic colorectal cancer
Van Cutsem, E., Cervantes, A., Adam, R., Sobrero, A., Van Krieken, J. H., Aderka, D., Aranda Aguilar, E., Bardelli, A., Benson, A., Bodoky, G., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw235 · Cited by 3,421
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
Comprehensive review of targeted therapy for colorectal cancer
Xie, Y.-H., Chen, Y.-X., & Fang, J.-Y. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0116-z · Cited by 1,687
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
Self-citationClinical Applications of Circulating Tumor Cells and Circulating Tumor DNA as Liquid Biopsy
Alix-Panabières, C., & Pantel, K. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-1483 · Cited by 1,394
Metadata
- Authors
- Mohan, S., Heitzer, E., Ulz, P., Lafer, I., Lax, S., Auer, M., Pichler, M., Gerger, A., Eisner, F., Hoefler, G., Bauernhofer, T., Geigl, J. B., & Speicher, M. R.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-03-27
- Volume
- 10
- Issue
- 3
- Pages
- e1004271
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2035022458
- Cited by
- 177
- References
- 18
- FWCI
- 10.63
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Changes in Colorectal Carcinoma Genomes under Anti-EGFR Therapy Identified by Whole-Genome Plasma DNA Sequencing. https://app.cochat.ai/papers/10.1371/journal.pgen.1004271
- The paper
- Mohan, S., Heitzer, E., Ulz, P., Lafer, I., Lax, S., Auer, M., Pichler, M., Gerger, A., Eisner, F., Hoefler, G., Bauernhofer, T., Geigl, J. B., & Speicher, M. R. (2014). Changes in Colorectal Carcinoma Genomes under Anti-EGFR Therapy Identified by Whole-Genome Plasma DNA Sequencing. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1004271
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.