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Updated: Aug 2, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
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Colon cancer transcriptome.

Khatere Mokhtari1, Maryam Peymani2, Mohsen Rashidi3

  • 1Department of Modern Biology, ACECR Institute of Higher Education (Isfahan Branch), Isfahan, Iran.

Progress in Biophysics and Molecular Biology
|April 14, 2023
PubMed
Summary

This review explores how transcriptome profiling, using RNA sequencing (RNA-seq), aids in understanding colon cancer complexity. It highlights transcriptome

Keywords:
AgeAlcoholColon cancerGenderRaceStageTranscriptomecircRNAlncRNAmiRNAsiRNA

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Area of Science:

  • Oncology and Molecular Biology
  • Genomics and Bioinformatics

Background:

  • Transcriptome profiling has evolved significantly over four decades.
  • RNA sequencing (RNA-seq) enables quantification of cellular transcriptional outputs.
  • Transcriptomes link cellular behavior to molecular mechanisms, crucial for cancer research.

Purpose of the Study:

  • To review the assessment of the colon cancer transcriptome.
  • To analyze transcriptome data in relation to risk factors and cancer stages.
  • To examine the role of non-coding RNAs in colorectal cancer.

Main Methods:

  • Review of existing literature on transcriptome profiling in colon cancer.
  • Analysis of RNA sequencing (RNA-seq) data.
  • Assessment of non-coding RNAs (circRNAs, miRNAs, lncRNAs, siRNAs).

Main Results:

  • Transcriptome analysis provides insights into tumor complexity and heterogeneity.
  • Risk factors (age, obesity, gender, alcohol, race) and cancer stages are associated with transcriptome changes.
  • Non-coding RNAs play a significant role in colorectal cancer transcriptomes.

Conclusions:

  • Transcriptome profiling is vital for early and accurate cancer diagnosis.
  • Integrating genomic and transcriptomic data offers a comprehensive view of cancer.
  • Understanding the colon cancer transcriptome can lead to novel biomarkers and improved treatment strategies.