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Molecular imaging biomarkers for cell-based immunotherapies

Overview of attention for article published in Journal of Translational Medicine, June 2017
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Title
Molecular imaging biomarkers for cell-based immunotherapies
Published in
Journal of Translational Medicine, June 2017
DOI 10.1186/s12967-017-1240-6
Pubmed ID
Authors

Mohammad Haris, Puneet Bagga, Hari Hariharan, Bevin McGettigan-Croce, Laura A. Johnson, Ravinder Reddy

Abstract

While many decades of scientific research studies have gone into harnessing the power of the immune system to fight cancer, only recently have cancer immunotherapeutic approaches begun to show robust clinical responses in patients with a variety of cancers. These treatments are adding to the current arsenal of cancer treatments; surgery, radiation and chemotherapy, and increasing the therapeutic options for cancer patients. Despite these advances, issues associated with these therapies include that not all patients respond to these therapies, and some patients who respond experience varying degrees of toxicities. One of the major issues affecting immunotherapy is the inability to evaluate trafficking of activated T-cells into sites of tumor. The current diagnostic imaging based on conventional anatomic imaging, which is the mainstay to monitor response to cytotoxic chemotherapy or radiation, is not adequate to assess initial response to immunotherapy or disease evolution. Patients' prognosis by histological analysis has limited use in regards to immunotherapy. Thus, there is a crucial need for noninvasive biomarkers for screening patients that show long term response to therapy. Here, we provide a brief account of emerging molecular magnetic resonance imaging biomarkers that have potential to exploit the metabolism and metabolic products of activated T cells.

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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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Professor 2 8%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Medicine and Dentistry 6 24%
Engineering 6 24%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 1 4%
Physics and Astronomy 1 4%
Other 3 12%
Unknown 6 24%
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 10 July 2017.
All research outputs
#17,899,796
of 22,981,247 outputs
Outputs from Journal of Translational Medicine
#2,760
of 4,016 outputs
Outputs of similar age
#226,600
of 316,590 outputs
Outputs of similar age from Journal of Translational Medicine
#63
of 72 outputs
Altmetric has tracked 22,981,247 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 4,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 26th percentile – i.e., 26% 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 316,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.