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Systematic analysis of overall survival and interactions between tumor mutations and drug treatment

Overview of attention for article published in Journal of Hematology & Oncology, March 2016
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2 X users

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13 Mendeley
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Title
Systematic analysis of overall survival and interactions between tumor mutations and drug treatment
Published in
Journal of Hematology & Oncology, March 2016
DOI 10.1186/s13045-016-0249-2
Pubmed ID
Authors

Francesco Gatto, Jens Nielsen

Abstract

Few exceptional responses in cancer treatment were attributed to a genetic predisposition of the tumor. We analyzed a cohort of 3105 patients from 12 different cancer types and systematically sought the existence of a correlation between overall survival and the interaction of 21 antineoplastic treatments with 6 tumor mutations. We identified a single significant correlation resulting in increased overall survival from temozolomide in lower-grade glioma with IDH1 R132H mutations. The trend could not be attributed to either the treatment or the mutation alone. Univariate and multivariate Cox regression demonstrated that this interaction stood as an independent prognostic predictor of survival. Our results suggest infrequent instances of exceptional responses ascribable to tumor genomics yet corroborate the existence of an interaction of temozolomide with IDH1 mutations in lower-grade glioma.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Professor > Associate Professor 2 15%
Professor 2 15%
Student > Doctoral Student 1 8%
Other 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Engineering 3 23%
Biochemistry, Genetics and Molecular Biology 2 15%
Agricultural and Biological Sciences 2 15%
Medicine and Dentistry 1 8%
Unknown 5 38%
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 23 March 2016.
All research outputs
#17,790,561
of 22,852,911 outputs
Outputs from Journal of Hematology & Oncology
#870
of 1,192 outputs
Outputs of similar age
#203,100
of 298,624 outputs
Outputs of similar age from Journal of Hematology & Oncology
#15
of 30 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 298,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.