Journal of Surgical Pathology and Diagnosis

Molecular pathology has emerged as a cornerstone of modern surgical oncology, offering precise diagnostic, prognostic and therapeutic insights. This review explores recent advancements in molecular pathology, focusing on novel biomarkers that have revolutionized surgical oncology. The identification and application of these biomarkers have significantly enhanced the accuracy of cancer diagnoses, informed targeted therapies and improved patient outcomes. This article delves into the molecular mechanisms, clinical applications and future prospects of these biomarkers, underscoring their critical role in the evolving landscape of surgical oncology.

Breast cancer is a heterogeneous disease with various subtypes that exhibit distinct biological behaviors and clinical outcomes. Immunohistochemical (IHC) profiling is a critical tool in the classification of breast cancer subtypes, influencing treatment strategies and predicting patient prognosis. This study aims to evaluate the immunohistochemical profiles of breast cancer subtypes and their correlation with clinical outcomes, including response to therapy, recurrence and overall survival.

Artificial Intelligence (AI) has emerged as a transformative technology in various fields, including surgical pathology. This systematic review examines the impact of AI on diagnostic accuracy in surgical pathology, evaluating its effectiveness, benefits and challenges. By analyzing recent literature, the review highlights how AI technologies, including machine learning and deep learning algorithms, are reshaping diagnostic practices, improving accuracy and influencing clinical outcomes. The review also identifies current limitations and offers insights into future directions for integrating AI into surgical pathology.

Liquid biopsies, a groundbreaking advancement in diagnostic medicine, offer a non-invasive alternative to traditional tissue biopsies. This paper explores the integration of liquid biopsies into surgical pathology, assessing their current applications, benefits and limitations. It also discusses future directions for research and clinical implementation, emphasizing the potential of liquid biopsies to revolutionize surgical pathology and patient management.

Soft tissue tumors encompass a wide variety of neoplasms that arise from connective tissues such as fat, muscle, nerves, fibrous tissues, blood vessels, or deep skin tissues. While common soft tissue tumors, like lipomas or fibromas, are relatively straightforward to diagnose, rare soft tissue tumors present significant diagnostic challenges due to their diverse histological appearances and overlapping features with other tumor types. This article reviews the diagnostic challenges encountered in histopathological analysis of rare soft tissue tumors and explores potential solutions, including advanced diagnostic techniques and a multidisciplinary approach.