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Triple-negative Breast Cancer: Identification of circRNAs With Efficacy in Preclinical In Vivo Models

Overview of attention for article published in Cancer Genomics & Proteomics, March 2023
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Title
Triple-negative Breast Cancer: Identification of circRNAs With Efficacy in Preclinical In Vivo Models
Published in
Cancer Genomics & Proteomics, March 2023
DOI 10.21873/cgp.20368
Pubmed ID
Authors

Ulrich H Weidle, Fabian Birzele

Abstract

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with insufficient options for therapy. In order to identify new targets and treatment modalities we searched the literature for circular RNAs (circRNAs) which mediate efficacy in TNBC-related in vivo preclinical models. In addition to 5 down-regulated circRNAs which modulate tumor-suppressive pathways, we identified 15 up-regulated circRNAs. Down- and up-regulated refers to expression in corresponding non-transformed cells and tissues. The up-regulated circRNAs comprise five transmembrane receptors and secreted proteins as targets, five transcription factors and transcription-associated targets, four cell-cycle related circRNAs and one involved in paclitaxel resistance. In this review article we discuss drug-discovery related aspects and modalities of therapeutic intervention. Down-regulated circRNAs can be reconstituted by re-expression of corresponding circRNAs in tumor cells or up-regulation of corresponding targets. Up-regulated circRNAs can be inhibited by small-interfering RNA (siRNA) or short hairpin RNA (shRNA)-based approaches or inhibition of the corresponding targets with small molecules or antibody-related moieties.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 March 2023.
All research outputs
#15,155,626
of 23,495,502 outputs
Outputs from Cancer Genomics & Proteomics
#74
of 315 outputs
Outputs of similar age
#166,852
of 344,015 outputs
Outputs of similar age from Cancer Genomics & Proteomics
#1
of 4 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 315 research outputs from this source. They receive a mean Attention Score of 1.5. This one has done well, scoring higher than 76% 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 344,015 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 50% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them