Prognostic Factors for Advanced Breast Cancer

Breast cancer is one of the most frequent malignancies affecting womens health and is the second leading tumor in terms of prevalence globally. However, advanced breast cancer remains incurable, and the prognosis is unfavorable. Identifying prognostic factors in advanced breast cancer is crucial for clinical practice. In this paper, we aim to summarize significant risk factors affecting the prognosis of patients suffering from advanced breast carcinoma, including age, sites of metastasis, molecular typing, and local treatments. Additionally, this paper explores the methods and functions of prediction models for advanced breast cancer, aiming at offering new insights for clinicians and researchers. In the future, with a large body of research, we hope clinical researchers will develop prediction models for advanced breast cancer that are widely applicable in clinical practice. These models could enable patients to have a clearer and more in - depth understanding of their conditions and assist physicians in implementing individualized treatments and precision medicine, ultimately prolonging patient survival.

Authors

Publication Details

Journal
Theoretical and Natural Science
Published
2025-03-20
DOI
https://doi.org/10.54254/2753-8818/2025.21569
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
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article

Prognostic Factors for Advanced Breast Cancer

Yanxi Liu
Theoretical and Natural Science
Breast Cancer Treatment Studies
article

Prognostic Factors for Advanced Breast Cancer

Yanxi Liu
article en

Abstract

Breast cancer is one of the most frequent malignancies affecting womens health and is the second leading tumor in terms of prevalence globally. However, advanced breast cancer remains incurable, and the prognosis is unfavorable. Identifying prognostic factors in advanced breast cancer is crucial for clinical practice. In this paper, we aim to summarize significant risk factors affecting the prognosis of patients suffering from advanced breast carcinoma, including age, sites of metastasis, molecular typing, and local treatments. Additionally, this paper explores the methods and functions of prediction models for advanced breast cancer, aiming at offering new insights for clinicians and researchers. In the future, with a large body of research, we hope clinical researchers will develop prediction models for advanced breast cancer that are widely applicable in clinical practice. These models could enable patients to have a clearer and more in - depth understanding of their conditions and assist physicians in implementing individualized treatments and precision medicine, ultimately prolonging patient survival.

Theoretical and Natural ScienceVol. 96(1)
Openalex Percentile: Top 94%
Breast Cancer Treatment Studies
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Prognostic Factors for Advanced Breast Cancer — Yanxi Liu · Theoretical and Natural Science (2025) | TGRS Research Map | TGRS