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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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Related Experiment Video

Updated: May 15, 2025

Analytical Determination of Mitochondrial Function of Excised Solid Tumor Homogenates
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Identification of mitochondrial permeability transition-related lncRNAs as quantitative biomarkers for the prognosis

Zhongshu Lin1,2,3, Xinlu Wang1,4, Guanxiang Hua2,3

  • 1Jiangxi Province Key Laboratory of Immunology and Inflammation, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Frontiers in Genetics
|April 10, 2025
PubMed
Summary
This summary is machine-generated.

A new MPT-related score (MPTRscore) aids breast cancer (BC) patient stratification. This score predicts prognosis and treatment response, offering insights for personalized BC therapy.

Keywords:
RNAbreast cancerlong non-coding RNAmitochondrial permeability transitiontranscriptomicstumor

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Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Breast cancer (BC) heterogeneity poses treatment challenges.
  • Mitochondrial permeability transition (MPT) and long non-coding RNAs (lncRNAs) are emerging factors in BC.
  • Understanding lncRNA regulation of MPT is crucial for BC stratification.

Purpose of the Study:

  • To develop a reliable biomarker for BC prognosis and treatment response based on MPT-related lncRNAs.
  • To stratify BC patients using a novel scoring system.
  • To explore molecular mechanisms underlying BC stratification.

Main Methods:

  • Utilized bulk RNA-seq data from TCGA and GTEx for MPT-related lncRNAs in BC.
  • Developed an MPT-related score (MPTRscore) using LASSO-Cox regression on 1,029 BC patients.
  • Created a clinical prediction model and performed unsupervised consensus clustering.

Main Results:

  • The MPTRscore demonstrated superior prognostic accuracy compared to existing biomarkers.
  • Identified two distinct MPTRscore groups with different molecular profiles and clinical outcomes.
  • MPTRscore predicted immunotherapy and chemotherapy response, with lower scores indicating better outcomes.

Conclusions:

  • The MPTRscore serves as an independent prognostic factor for BC.
  • MPTRscore-based stratification provides insights for personalized treatment strategies.
  • Identified RP11-573D15.8-018 as a key lncRNA mediating MPTRscore-related cluster effects.