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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 the pre-miRNA...
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  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Microrna Profile Of Endometrial Cancer From Indian Patients-identification Of Potential Biomarkers For Prognosis.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Microrna Profile Of Endometrial Cancer From Indian Patients-identification Of Potential Biomarkers For Prognosis.

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Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

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microRNA profile of endometrial cancer from Indian patients-identification of potential biomarkers for prognosis.

Shraddha Hegde1, Kalpesh Wagh1, Suma Mysore Narayana2

  • 1Centre for Human Genetics, Bengaluru, India.

Biochemistry and Biophysics Reports
|September 16, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study identified 212 microRNAs (miRNAs) in Indian endometrial cancer patients, including 17 novel ones. Sixteen miRNA-mRNA pairs show potential as prognostic biomarkers for this cancer.

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Endometrial cancer diagnosis and staging rely heavily on histopathology, which can be insufficient for accurate treatment strategies.
  • Existing molecular markers for endometrial cancer lack the specificity for precise diagnosis and therapeutic decision-making, leading to undertreatment or overtreatment.
  • Accurate diagnosis and staging are critical for effective endometrial cancer management and improved patient outcomes.

Purpose of the Study:

  • To profile microRNAs (miRNAs) in an Indian cohort of endometrial cancer patients using next-generation sequencing (NGS).
  • To identify novel and differentially expressed miRNAs as potential diagnostic or prognostic biomarkers.
  • To compare findings with The Cancer Genome Atlas (TCGA) data and assess miRNA relevance to overall survival.

Main Methods:

  • Next-generation sequencing (NGS)-based profiling of microRNAs (miRNAs) from Indian endometrial cancer patients.
  • Differential expression analysis to identify significant miRNAs.
  • In-silico prediction of miRNA mRNA targets and comparison with TCGA data for prognostic biomarker identification.

Main Results:

  • Identified 212 differentially expressed microRNAs (miRNAs) in endometrial cancer, including 17 novel miRNAs.
  • Compared miRNA profiles with TCGA data and correlated with overall survival.
  • Identified 16 miRNA-mRNA pairs as potential prognostic biomarkers for endometrial cancer.

Conclusions:

  • This is the first miRNA profiling study from an Indian cohort for endometrial cancer.
  • Identified potential prognostic biomarkers (16 miRNA-mRNA pairs) for endometrial cancer.
  • Further validation in diverse populations is necessary to establish these miRNAs as reliable biomarkers.