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Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA

Overview of attention for article published in Nature, April 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
4 news outlets
blogs
5 blogs
twitter
69 X users
patent
132 patents
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1439 Dimensions

Readers on

mendeley
1518 Mendeley
citeulike
13 CiteULike
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Title
Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA
Published in
Nature, April 2013
DOI 10.1038/nature12065
Pubmed ID
Authors

Muhammed Murtaza, Sarah-Jane Dawson, Dana W. Y. Tsui, Davina Gale, Tim Forshew, Anna M. Piskorz, Christine Parkinson, Suet-Feung Chin, Zoya Kingsbury, Alvin S. C. Wong, Francesco Marass, Sean Humphray, James Hadfield, David Bentley, Tan Min Chin, James D. Brenton, Carlos Caldas, Nitzan Rosenfeld

Abstract

Cancers acquire resistance to systemic treatment as a result of clonal evolution and selection. Repeat biopsies to study genomic evolution as a result of therapy are difficult, invasive and may be confounded by intra-tumour heterogeneity. Recent studies have shown that genomic alterations in solid cancers can be characterized by massively parallel sequencing of circulating cell-free tumour DNA released from cancer cells into plasma, representing a non-invasive liquid biopsy. Here we report sequencing of cancer exomes in serial plasma samples to track genomic evolution of metastatic cancers in response to therapy. Six patients with advanced breast, ovarian and lung cancers were followed over 1-2 years. For each case, exome sequencing was performed on 2-5 plasma samples (19 in total) spanning multiple courses of treatment, at selected time points when the allele fraction of tumour mutations in plasma was high, allowing improved sensitivity. For two cases, synchronous biopsies were also analysed, confirming genome-wide representation of the tumour genome in plasma. Quantification of allele fractions in plasma identified increased representation of mutant alleles in association with emergence of therapy resistance. These included an activating mutation in PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha) following treatment with paclitaxel; a truncating mutation in RB1 (retinoblastoma 1) following treatment with cisplatin; a truncating mutation in MED1 (mediator complex subunit 1) following treatment with tamoxifen and trastuzumab, and following subsequent treatment with lapatinib, a splicing mutation in GAS6 (growth arrest-specific 6) in the same patient; and a resistance-conferring mutation in EGFR (epidermal growth factor receptor; T790M) following treatment with gefitinib. These results establish proof of principle that exome-wide analysis of circulating tumour DNA could complement current invasive biopsy approaches to identify mutations associated with acquired drug resistance in advanced cancers. Serial analysis of cancer genomes in plasma constitutes a new paradigm for the study of clonal evolution in human cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,518 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 1%
United Kingdom 13 <1%
Germany 6 <1%
Japan 6 <1%
Netherlands 5 <1%
Spain 3 <1%
France 2 <1%
Ireland 2 <1%
Ukraine 2 <1%
Other 16 1%
Unknown 1445 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 383 25%
Student > Ph. D. Student 295 19%
Student > Bachelor 136 9%
Student > Master 134 9%
Other 99 7%
Other 268 18%
Unknown 203 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 414 27%
Medicine and Dentistry 362 24%
Biochemistry, Genetics and Molecular Biology 303 20%
Engineering 35 2%
Chemistry 22 1%
Other 128 8%
Unknown 254 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 115. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2024.
All research outputs
#371,044
of 26,017,215 outputs
Outputs from Nature
#18,853
of 99,074 outputs
Outputs of similar age
#2,488
of 216,661 outputs
Outputs of similar age from Nature
#249
of 1,019 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 216,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1,019 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.