Investigating the Prognostic Value of Tumor Microenvironment Histopathology in Predicting Patient Outcomes in Breast Cancer

Introduction: Breast cancer is one of the most prevalent cancers worldwide and a leading cause of cancer-related mortality among women. The tumor microenvironment (TME) plays a pivotal role in the progression and prognosis of breast cancer. Understanding the histopathological features of the TME could improve predictive models for patient outcomes. Objective: To investigate the prognostic value of tumor microenvironment histopathology in predicting patient outcomes in breast cancer. Methodology: This study was conducted across various hospitals in Saudi Arabia from 2023 to 2024. A cohort of 85 breast cancer patients was analyzed. Histopathological examination of the TME, including immune cell infiltration, stromal density, and vascularization, was correlated with clinical outcomes, such as disease-free survival (DFS) and overall survival (OS). Results: Higher levels of immune cell infiltration were significantly associated with better DFS and OS (p < 0.05). Conversely, increased stromal density and higher microvascular density were associated with worse outcomes. These findings suggest that histopathological features of the TME can serve as valuable prognostic indicators. Conclusion: The histopathological evaluation of the tumor microenvironment provides significant prognostic information in breast cancer patients. Incorporating TME analysis into routine pathology could improve patient stratification and guide treatment decisions.

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Publication Details

Journal
African Journal of Biomedical Research
Published
2024-12-12
DOI
https://doi.org/10.53555/ajbr.v27i4s.5295
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Investigating the Prognostic Value of Tumor Microenvironment Histopathology in Predicting Patient Outcomes in Breast Cancer

Elryah I. Ali
African Journal of Biomedical Research
Radiomics and Machine Learning in Medical Imaging
article

Investigating the Prognostic Value of Tumor Microenvironment Histopathology in Predicting Patient Outcomes in Breast Cancer

Elryah I. Ali
article en

Abstract

Introduction: Breast cancer is one of the most prevalent cancers worldwide and a leading cause of cancer-related mortality among women. The tumor microenvironment (TME) plays a pivotal role in the progression and prognosis of breast cancer. Understanding the histopathological features of the TME could improve predictive models for patient outcomes. Objective: To investigate the prognostic value of tumor microenvironment histopathology in predicting patient outcomes in breast cancer. Methodology: This study was conducted across various hospitals in Saudi Arabia from 2023 to 2024. A cohort of 85 breast cancer patients was analyzed. Histopathological examination of the TME, including immune cell infiltration, stromal density, and vascularization, was correlated with clinical outcomes, such as disease-free survival (DFS) and overall survival (OS). Results: Higher levels of immune cell infiltration were significantly associated with better DFS and OS (p < 0.05). Conversely, increased stromal density and higher microvascular density were associated with worse outcomes. These findings suggest that histopathological features of the TME can serve as valuable prognostic indicators. Conclusion: The histopathological evaluation of the tumor microenvironment provides significant prognostic information in breast cancer patients. Incorporating TME analysis into routine pathology could improve patient stratification and guide treatment decisions.

African Journal of Biomedical Research
Good health and well-being
Openalex Percentile: Top 59%
Radiomics and Machine Learning in Medical Imaging
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Investigating the Prognostic Value of Tumor Microenvironment Histopathology in Predicting Patient Outcomes in Breast Cancer — Elryah I. Ali · African Journal of Biomedical Research (2024) | TGRS Research Map | TGRS