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Predicting the Abscopal Effect: Associated Tumor Histologic Subtypes and Biomarkers

Overview of attention for article published in Molecular Cancer Therapeutics, May 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
34 tweeters

Readers on

mendeley
4 Mendeley
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Title
Predicting the Abscopal Effect: Associated Tumor Histologic Subtypes and Biomarkers
Published in
Molecular Cancer Therapeutics, May 2023
DOI 10.1158/1535-7163.mct-22-0516
Pubmed ID
Authors

Blessie Elizabeth Nelson, Jacob J. Adashek, Aakash Akshay Sheth, Vivek Subbiah

Abstract

Radiotherapy is a pillar of cancer treatment, which has historically been used primarily to treat localized disease with curative intent. With the increasing role of radiotherapy for metastatic disease and rapid integration of immunotherapy into the standard of care for various cancers, it has been observed that local radiation to one malignant site can lead to shrinkage of tumors at other sites, a phenomenon termed the "abscopal effect." Historically, there was little mechanistic elucidation as to how this phenomenon occurs. However, multiple groups have recently identified associated immuno-prognostic factors, such as high post-radiotherapy absolute lymphocyte count, neoantigens, myeloid-derived suppressor cells, and NK cells. The concomitant use of immunotherapy with radiotherapy has been documented to induce the abscopal effect. As immunotherapies continue to be incorporated into most cancer treatment approaches, understanding which patients are more likely to benefit from an abscopal effect may allow for optimization of both systemic and radiotherapeutic strategies. This review highlights the tumor histologic subtypes and biomarkers of the greatest utility for the recognition and identification of patients likely to benefit from the abscopal effect.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 34 tweeters 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Medicine and Dentistry 1 25%
Engineering 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 24 September 2023.
All research outputs
#1,846,245
of 24,522,750 outputs
Outputs from Molecular Cancer Therapeutics
#189
of 3,987 outputs
Outputs of similar age
#35,711
of 387,568 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#6
of 26 outputs
Altmetric has tracked 24,522,750 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,987 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 95% of its peers.
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 387,568 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.