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Circulating tumor DNA dynamically predicts response and/or relapse in patients with hematological malignancies

Overview of attention for article published in International Journal of Hematology, June 2018
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Title
Circulating tumor DNA dynamically predicts response and/or relapse in patients with hematological malignancies
Published in
International Journal of Hematology, June 2018
DOI 10.1007/s12185-018-2487-2
Pubmed ID
Authors

Sousuke Nakamura, Kazuaki Yokoyama, Nozomi Yusa, Miho Ogawa, Tomomi Takei, Asako Kobayashi, Mika Ito, Eigo Shimizu, Rika Kasajima, Yuka Wada, Rui Yamaguchi, Seiya Imoto, Tokiko Nagamura-Inoue, Satoru Miyano, Arinobu Tojo

Abstract

A growing body of evidence suggests that tumor-derived fragmentary DNA, known as circulating tumor DNA (ctDNA), has the potential to serve as a non-invasive biomarker for disease monitoring. However, in the setting of hematological malignancy, few published studies support the utility of ctDNA. We retrospectively investigated ctDNA levels of 17 patients with various hematological malignancies who had achieved remission after first-line therapy. We identified somatic driver mutations by next-generation sequencing, and designed droplet digital PCR assays for each mutation to measure ctDNA. Variant allele frequencies of ctDNA changed in association with clinical response in all patients. Eight patients clinically relapsed after a median of 297 days post-first-line therapy (termed, "relapsed group"); the remaining nine patients remained disease-free for a median of 332 days (termed, "remission group"). Among patients in the relapsed group, ctDNA levels increased more than twofold at paired serial time points. In marked contrast, ctDNA levels of all patients in the remission group remained undetectable or stable during clinical remission. Notably, ctDNA-based molecular relapse demonstrated a median 30-day lead time over clinical relapse. In summary, ctDNA monitoring may help identify hematologic cancer patients at risk for relapse in advance of established clinical parameters.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Doctoral Student 5 14%
Researcher 5 14%
Other 3 8%
Student > Master 2 5%
Other 5 14%
Unknown 9 24%
Readers by discipline Count As %
Medicine and Dentistry 13 35%
Biochemistry, Genetics and Molecular Biology 5 14%
Agricultural and Biological Sciences 5 14%
Chemistry 2 5%
Neuroscience 1 3%
Other 1 3%
Unknown 10 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 July 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from International Journal of Hematology
#932
of 1,417 outputs
Outputs of similar age
#254,373
of 329,246 outputs
Outputs of similar age from International Journal of Hematology
#8
of 20 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,417 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.