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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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lncRNA - Long Non-coding RNAs02:39

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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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  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Differentially Expressed Microrna In Prognosis Of Gastric Cancer With Lauren Classification

Differentially expressed microRNA in prognosis of gastric cancer with Lauren classification

Wenjiao Chen1,2,1, Qin Guo3,1, Huo Zhang4,1

  • 1Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, China.

Cancer Biomarkers : Section a of Disease Markers
|August 23, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Lauren classification is a key prognostic factor for gastric cancer (GC). MiR-141-3p is a promising biomarker for predicting outcomes in diffuse-type GC patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Gastric cancer (GC) is a prevalent malignancy with diverse classifications.
  • The prognostic value of Lauren classification and the need for biomarkers in GC remain critical research areas.
  • Understanding molecular differences, such as microRNA expression, across GC subtypes is essential for improving patient outcomes.

Purpose of the Study:

  • To investigate the prognostic significance of Lauren classification in gastric cancer.
  • To explore the differential expression of microRNAs (miRNAs) in various Lauren classifications of GC.
  • To identify potential miRNA biomarkers for predicting prognosis in GC patients.

Main Methods:

  • Retrospective analysis of 1144 gastric cancer patients.
  • Quantification of miRNA expression using quantitative reverse transcription-polymerase chain reaction (qRT-PCR).
Keywords:
Gastric cancerLauren classificationmicroRNAprognosis

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  • Univariate and multivariate analyses to assess prognostic factors and miRNA expression correlations.

    • Main Results:

    • Lauren classification, patient age, tumor characteristics, and lymph node status were significant prognostic factors for overall survival (OS) and disease-free survival (DFS).
    • Specific miRNAs (miR-141-3p, miR-200b-3p, miR-133a-5p, miR-105-5p) showed differential expression between diffuse and intestinal types of GC.
    • Down-regulation of miR-141-3p in diffuse-type GC was associated with significantly worse OS and DFS.

    Conclusions:

    • Lauren classification is an independent prognostic factor in gastric cancer.
    • MiR-141-3p serves as an independent prognostic factor and a potential biomarker for gastric cancer, particularly within the diffuse Lauren classification.