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Expression of down-regulated ERV LTR elements associates with immune activation in human small-cell lung cancers

Overview of attention for article published in Mobile DNA, March 2023
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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Title
Expression of down-regulated ERV LTR elements associates with immune activation in human small-cell lung cancers
Published in
Mobile DNA, March 2023
DOI 10.1186/s13100-023-00290-w
Pubmed ID
Authors

Marco Russo, Sara Morelli, Giovanni Capranico

Abstract

Small-cell lung cancer (SCLC) is an aggressive cancer characterized by immunosuppressive features leading to poor responses to current immunotherapies. Activation of transposable elements (TE) can trigger an innate immune response, which can synergize with immunotherapeutic protocols in patients. However, TE activity in relation to immune gene response is not fully known in human SCLC. Here, we compared TE expression in 104 human SCLC and 24 normal tissues and established their involvement in innate immune responses. We observed that different intergenic TEs, mainly endogenous retroviral (ERV) families, are deregulated in SCLC. Similarly to other cancers, we detected a subset of LTRs that correlate with innate immune gene signatures and cytosolic RNA sensors, such as RIG-I. These LTRs are downregulated in SCLC tumors vs. normal tissues, and are mainly located at transcriptional repressed regions, marked with H3K4me2 in different cell lines. Analyses of different genomic datasets show that chromatin repression is likely due to de-methylase LSD1 activity. Moreover, high expression levels of ERV LTRs predict a better survival upon chemotherapy of SCLC patients. The findings reveal a specific pattern of TE-mediated activation of innate immune genes in SCLC, which can be exploited to establish more effective immunotherapeutic combinations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 15%
Student > Master 2 15%
Student > Ph. D. Student 1 8%
Professor 1 8%
Researcher 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 38%
Agricultural and Biological Sciences 1 8%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 4 31%
Attention Score in Context

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 15 March 2023.
All research outputs
#7,110,834
of 23,539,593 outputs
Outputs from Mobile DNA
#180
of 342 outputs
Outputs of similar age
#100,368
of 346,344 outputs
Outputs of similar age from Mobile DNA
#2
of 3 outputs
Altmetric has tracked 23,539,593 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 342 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 47th percentile – i.e., 47% 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 346,344 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 70% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.