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[Modern prospects for molecular-biochemical methods for evaluating biological "behavior" of breast neoplasms]
Abstract:
The paper presents recent data on the role of oncogenes and suppressive genes, receptors of steroidal hormones, secretory protein pS2, cathepsin D, urokinase and tissue plasminogen activators and their inhibitor PAI-I, polypeptide growth factors and somatostatin and their receptors in the evaluation of proliferative activity and drug therapy responses and in the prediction of disease and on the simultaneous estimation of the limited number of mutually complementing parameters that can characterize the proliferative activity of a tumor, its metastatic potential and sensitivity to different types of overall and regional regulation. The main task for investigators engaged in this area is to choose a qualitatively and quantitatively optimal ratio of molecular markers of breast cancer to evaluate the biological behavior of a tumor.
Insights
This study explores molecular markers like oncogenes and hormone receptors for predicting breast cancer behavior and treatment response. Optimizing a panel of these markers is key for evaluating tumor proliferation, metastasis, and therapeutic sensitivity.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Context:
- Breast cancer diagnosis and treatment rely on understanding tumor biology.
- Identifying reliable molecular markers is crucial for personalized medicine.
Purpose:
- To review recent data on molecular markers in breast cancer.
- To highlight the role of these markers in assessing proliferative activity, treatment response, and disease prediction.
- To emphasize the need for an optimal combination of markers for evaluating tumor behavior.
Summary:
- The paper examines oncogenes, suppressive genes, hormone receptors, secretory protein pS2, cathepsin D, urokinase and tissue plasminogen activators (and PAI-I), growth factors, and somatostatin.
- These markers aid in evaluating tumor proliferative activity, predicting drug therapy responses, and forecasting disease progression.
- Simultaneous estimation of complementary parameters can characterize tumor proliferative activity, metastatic potential, and sensitivity to regulation.
Impact:
- Provides insights into selecting optimal molecular marker ratios for breast cancer evaluation.
- Aims to improve the prediction of tumor biological behavior and therapeutic outcomes.
- Facilitates advancements in personalized breast cancer treatment strategies.