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Clinical translation and regulatory aspects of CAR/TCR-based adoptive cell therapies—the German Cancer Consortium approach

Overview of attention for article published in Cancer Immunology, Immunotherapy, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
54 Mendeley
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Article details
Title
Clinical translation and regulatory aspects of CAR/TCR-based adoptive cell therapies—the German Cancer Consortium approach
Published in
Cancer Immunology, Immunotherapy, January 2018
DOI 10.1007/s00262-018-2119-y
Pubmed ID
Authors
Abstract

Adoptive transfer of T cells genetically modified by TCRs or CARs represents a highly attractive novel therapeutic strategy to treat malignant diseases. Various approaches for the development of such gene therapy medicinal products (GTMPs) have been initiated by scientists in recent years. To date, however, the number of clinical trials commenced in Germany and Europe is still low. Several hurdles may contribute to the delay in clinical translation of these therapeutic innovations including the significant complexity of manufacture and non-clinical testing of these novel medicinal products, the limited knowledge about the intricate regulatory requirements of the academic developers as well as limitations of funds for clinical testing. A suitable good manufacturing practice (GMP) environment is a key prerequisite and platform for the development, validation, and manufacture of such cell-based therapies, but may also represent a bottleneck for clinical translation. The German Cancer Consortium (DKTK) and the Paul-Ehrlich-Institut (PEI) have initiated joint efforts of researchers and regulators to facilitate and advance early phase, academia-driven clinical trials. Starting with a workshop held in 2016, stakeholders from academia and regulatory authorities in Germany have entered into continuing discussions on a diversity of scientific, manufacturing, and regulatory aspects, as well as the benefits and risks of clinical application of CAR/TCR-based cell therapies. This review summarizes the current state of discussions of this cooperative approach providing a basis for further policy-making and suitable modification of processes.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 17%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Student > Master 4 7%
Professor 3 6%
Other 10 19%
Unknown 17 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 24%
Biochemistry, Genetics and Molecular Biology 9 17%
Nursing and Health Professions 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Materials Science 2 4%
Other 5 9%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 July 2019.
All research outputs
#7,503,741
of 22,925,760 outputs
Outputs from Cancer Immunology, Immunotherapy
#1,039
of 2,892 outputs
Outputs of similar age
#155,423
of 440,859 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#15
of 36 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,892 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 37th percentile – i.e., 37% 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 440,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.