Abstract & Article Details
Research Article • Vol.6, Issue 1 • ISSN: 2766-2276 • Open Access • CC BY 4.0
Comparative Study of Biomarkers Dependent on Biological, Molecular Factors and Their Clinical Significance in Breast Cancer Treatment
Abstract
Breast cancer clinically represents a heterogeneous disease. Over decades, the integration of prognostic and predictive markers in treatment decisions has led to a more individualized and optimized therapy. Prognosis describes the risk of disease recurrence and disease-related death after diagnosis without the influence of therapy and prediction illustrates the probability of efficacy or response of a specific therapeutic measure.
The present study evaluated the clinical significance of Ki-67 index, ER, PGR, cerb-2 and Her2 receptors as prognostic markers and predictors of recurrence in different molecular subtypes of breast cancer. We analyzed the relationship of these receptors with different clinicopathological factors.
We have processed samples from 130 patients hospitalized in the Surgery Department III of the Bucharest Institute of Oncology. Biological samples have been taken by breast biopsy punctures or by excision of the tumors and analyzed them histopathologically and immunohistochemically.
Improved understanding of breast cancer biology and genetics together with the utilization of classical biomarkers and the identification of new markers or profiles is increasingly defining the clinical decisions are to be made to minimize overtreatment, undertreatment, and incorrect treatment.
Research Topics
How to Cite
Article Information
| Journal | Journal of Biomedical Research & Environmental Sciences (JBRES) |
|---|---|
| ISSN | 2766-2276 |
| DOI | DOI 10.37871/jbres2056 |
| Volume / Issue | Vol. 6, Issue 1 |
| Published | January 24, 2025 |
| Article Type | Research Article |
| Pages | 056-069 |
| License | CC BY 4.0 — Open Access |
| Publisher | SciRes Literature LLC, Sheridan, WY, USA |
| Language | English |
Published under CC BY 4.0 — free to share, copy, adapt, and redistribute with attribution.