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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Predictive Immune Modeling of Solid Tumors
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LAG-3 transcriptomic expression patterns across malignancies: Implications for precision immunotherapeutics.

Jacob J Adashek1, Shumei Kato2, Daisuke Nishizaki2

  • 1Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Hospital, Baltimore, Maryland, USA.

Cancer Medicine
|May 3, 2023
PubMed
Summary
This summary is machine-generated.

High Lymphocyte Activation Gene 3 (LAG-3) expression was found in 22.6% of diverse cancers, particularly neuroendocrine and uterine tumors. This suggests LAG-3 may influence immunotherapy response and resistance in various malignancies.

Keywords:
biomarkersclinical trialsexperimental therapeuticsimmune checkpointsimmunology

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Area of Science:

  • Immunology and Oncology
  • Cancer Genomics and Transcriptomics

Background:

  • Lymphocyte Activation Gene 3 (LAG-3), also known as CD223, is an immune checkpoint protein that regulates T-cell activation.
  • While LAG-3 inhibitors have shown modest clinical effects, recent studies combining LAG-3 blockade with PD-1 inhibitors demonstrate enhanced efficacy in melanoma.

Purpose of the Study:

  • To assess the RNA expression levels of LAG-3 across a diverse range of 514 human cancers.
  • To investigate the association between high LAG-3 expression and other immune checkpoint markers and tumor mutational burden (TMB).

Main Methods:

  • RNA expression of 397 genes was analyzed in 514 diverse cancer samples using clinical-grade laboratory services.
  • Transcript abundance was normalized and ranked using a reference population of 735 tumors across 35 histologies.
  • High LAG-3 expression was defined as a percentile rank of ≥75.

Main Results:

  • High LAG-3 transcript expression (≥75th percentile) was observed in 22.6% (116/514) of the assessed tumors.
  • Neuroendocrine (47%) and uterine (42%) cancers showed the highest proportions of high LAG-3 expression, while colorectal cancers had lower expression (15%).
  • High LAG-3 expression was significantly associated with elevated levels of other immune checkpoints (PD-L1, PD-1, CTLA-4) and high TMB (≥10 mutations/megabase).

Conclusions:

  • The study identifies specific cancer types with high LAG-3 expression, warranting further investigation into its role in resistance to current immunotherapies.
  • Inter-patient variability in LAG-3 expression highlights the need for personalized immunotherapy strategies.
  • Tailoring combination immunotherapies based on individual tumor immunograms, including LAG-3 status, may optimize treatment outcomes.