| Title |
GeneMed: An Informatics Hub for the Coordination of Next-Generation Sequencing Studies that Support Precision Oncology Clinical Trials
|
|---|---|
| Published in |
Cancer Informatics, March 2015
|
| DOI | 10.4137/cin.s17282 |
| Pubmed ID | |
| Authors |
Yingdong Zhao, Eric C Polley, Ming-Chung Li, Chih-Jian Lih, Alida Palmisano, David J Sims, Lawrence V Rubinstein, Barbara A Conley, Alice P Chen, P Mickey Williams, Shivaani Kummar, James H Doroshow, Richard M Simon |
| Abstract |
We have developed an informatics system, GeneMed, for the National Cancer Institute (NCI) molecular profiling-based assignment of cancer therapy (MPACT) clinical trial (NCT01827384) being conducted in the National Institutes of Health (NIH) Clinical Center. This trial is one of the first to use a randomized design to examine whether assigning treatment based on genomic tumor screening can improve the rate and duration of response in patients with advanced solid tumors. An analytically validated next-generation sequencing (NGS) assay is applied to DNA from patients' tumors to identify mutations in a panel of genes that are thought likely to affect the utility of targeted therapies available for use in the clinical trial. The patients are randomized to a treatment selected to target a somatic mutation in the tumor or with a control treatment. The GeneMed system streamlines the workflow of the clinical trial and serves as a communications hub among the sequencing lab, the treatment selection team, and clinical personnel. It automates the annotation of the genomic variants identified by sequencing, predicts the functional impact of mutations, identifies the actionable mutations, and facilitates quality control by the molecular characterization lab in the review of variants. The GeneMed system collects baseline information about the patients from the clinic team to determine eligibility for the panel of drugs available. The system performs randomized treatment assignments under the oversight of a supervising treatment selection team and generates a patient report containing detected genomic alterations. NCI is planning to expand the MPACT trial to multiple cancer centers soon. In summary, the GeneMed system has been proven to be an efficient and successful informatics hub for coordinating the reliable application of NGS to precision medicine studies. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Israel | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 56 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Master | 9 | 16% |
| Other | 6 | 10% |
| Professor | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Medicine and Dentistry | 7 | 12% |
| Engineering | 5 | 9% |
| Social Sciences | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 May 2016.
All research outputs
#7,778,510
of 25,373,627 outputs
Outputs from Cancer Informatics
#58
of 440 outputs
Outputs of similar age
#85,677
of 278,595 outputs
Outputs of similar age from Cancer Informatics
#5
of 31 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 440 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% of its peers.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.