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Follicular Lymphoma Microenvironment Characteristics Associated with Tumor Cell Mutations and MHC Class II Expression

Overview of attention for article published in Blood Cancer Discovery, June 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 206)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
4 news outlets
twitter
49 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Follicular Lymphoma Microenvironment Characteristics Associated with Tumor Cell Mutations and MHC Class II Expression
Published in
Blood Cancer Discovery, June 2022
DOI 10.1158/2643-3230.bcd-21-0075
Pubmed ID
Authors

Guangchun Han, Qing Deng, Mario L. Marques-Piubelli, Enyu Dai, Minghao Dang, Man Chun John, Xubin Li, Haopeng Yang, Jared Henderson, Olga Kudryashova, Mark Meerson, Sergey Isaev, Nikita Kotlov, Krystle J. Nomie, Alexander Bagaev, Edwin R. Parra, Luisa M. Solis Soto, Simrit Parmar, Fredrick B. Hagemeister, Sairah Ahmed, Swaminathan P. Iyer, Felipe Samaniego, Raphael Steiner, Luis Fayad, Hun Lee, Nathan H. Fowler, Christopher R. Flowers, Paolo Strati, Jason R. Westin, Sattva S. Neelapu, Loretta J. Nastoupil, Francisco Vega, Linghua Wang, Michael R. Green

Abstract

Follicular lymphoma (FL) is a B-cell malignancy with a complex tumor microenvironment that is rich in non-malignant immune cells. We applied single-cell RNA-sequencing to characterize the diverse tumor and immune cell populations of FL and identified major phenotypic subsets of FL T-cells including a cytotoxic CD4 T-cell population. Their relative proportions of T-cells defined four major FL subtypes, characterized by differential representation or relative depletion of distinct T-cell subsets. By integrating exome sequencing, we observed that somatic mutations are associated with, but not definitive for, reduced MHC expression on FL cells. In turn, expression of MHC class II genes by FL cells was associated with significant differences in the proportions and targetable immunophenotypic characteristics of T-cells. This provides a classification framework of the FL microenvironment, their association with FL genotypes and MHC expression, and informs different potential immunotherapeutic strategies based upon tumor cell MHC class II expression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 7 17%
Other 3 7%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 15 36%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Biochemistry, Genetics and Molecular Biology 5 12%
Immunology and Microbiology 4 10%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 11 December 2023.
All research outputs
#730,713
of 25,364,936 outputs
Outputs from Blood Cancer Discovery
#33
of 206 outputs
Outputs of similar age
#18,172
of 447,387 outputs
Outputs of similar age from Blood Cancer Discovery
#3
of 12 outputs
Altmetric has tracked 25,364,936 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 206 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has done well, scoring higher than 84% 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 447,387 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 95% of its contemporaries.
We're also able to compare this research output to 12 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.