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Related Experiment Video

Updated: Jun 1, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Comparative analysis of the genomic and expression profiles of ANLN and KDR as prognostic markers in breast Cancer.

Aamir Mehmood1, Rongpei Li1, Aman Chandra Kaushik1

  • 1Department of Bioinformatics and Biostatistics, State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240 China.

In Silico Pharmacology
|January 20, 2025
PubMed
Summary

High Anillin (ANLN) gene expression predicts poor breast cancer survival, while Kinase Insert Domain Receptor (KDR) has less impact. Combined analysis improves prognostic accuracy, suggesting ANLN and KDR as complementary breast cancer biomarkers.

Keywords:
ANLNBiomarkersBreast cancerGene expressionKDRMachine learningPrognosis

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Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • Breast cancer (BC) is a complex disease with varied outcomes.
  • Accurate prognostic markers are crucial for effective BC diagnosis and treatment.

Purpose of the Study:

  • To evaluate the prognostic significance of Anillin (ANLN) and Kinase Insert Domain Receptor (KDR) genes in breast cancer.
  • To explore the roles of ANLN and KDR in BC progression and their potential as therapeutic targets.

Main Methods:

  • Analysis of ANLN and KDR gene expression and mutation data from The Cancer Genome Atlas (TCGA).
  • Utilized machine learning models for survival prediction incorporating gene expression and mutation data.
  • Performed functional enrichment analysis to determine pathway involvement.

Main Results:

  • High ANLN expression strongly correlates with reduced overall survival in breast cancer patients.
  • KDR gene mutations were frequent but showed a weaker association with survival outcomes.
  • Machine learning models integrating ANLN and KDR data demonstrated enhanced accuracy in predicting breast cancer survival stages.

Conclusions:

  • ANLN serves as a significant prognostic biomarker for breast cancer.
  • Combined assessment of ANLN and KDR may offer improved prognostic value and potential for targeted therapies.
  • Further validation in diverse patient cohorts is warranted for ANLN and KDR as complementary biomarkers.