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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Biomarkers in Breast Cancer - An Update.

M Schmidt1, P A Fasching2, M W Beckmann2

  • 1Klinik für Geburtshilfe und Frauenkrankheiten, Universitätsmedizin Mainz, Mainz.

Geburtshilfe Und Frauenheilkunde
|December 8, 2015
PubMed
Summary

Modern biomarkers help tailor breast cancer treatments by predicting therapy effectiveness and side effects. Advanced computational tools aid in analyzing prognostic data from clinical and molecular markers.

Keywords:
Her2/neu (human epidermal growth factor receptor)biomarkerbreast cancer

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Area of Science:

  • Oncology
  • Biomarker Discovery
  • Computational Biology

Background:

  • Adjuvant therapy selection for breast cancer balances treatment efficacy with side effects.
  • Modern biomarkers are crucial for personalized medicine, guiding therapeutic choices.
  • Biomarker validation and integration into clinical practice have advanced significantly.

Purpose of the Study:

  • To provide an overview of established and novel molecular biomarkers for breast cancer.
  • To highlight the role of biomarkers in predicting treatment response and prognosis.
  • To discuss the application of mathematical models and computer-assisted analysis in biomarker research.

Main Methods:

  • Review of established and genome-wide identified molecular markers in breast cancer.
  • Analysis of the prognostic and predictive value of biomarkers.
  • Description of recent computer programs for analyzing clinical and histopathological data.

Main Results:

  • Biomarkers are essential for predicting patient response to chemo- and radiotherapy.
  • Mathematical models and computational tools enhance the assessment of prognostic information.
  • Both validated molecular markers and newly identified markers from genome-wide studies are important.

Conclusions:

  • Biomarker-guided therapy is becoming standard for breast cancer patients.
  • Personalized treatment strategies rely heavily on accurate prognostic and predictive markers.
  • Continued research into molecular markers and computational analysis will further refine breast cancer treatment.