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Advancing Thoracic Surgical Oncology in the Era of Precision Medicine.

Authors :
Argento, Giacomo
Rendina, Erino Angelo
Maurizi, Giulio
Source :
Cancers; Jan2025, Vol. 17 Issue 1, p115, 13p
Publication Year :
2025

Abstract

Simple Summary: This paper highlights how advancements in precision medicine are transforming thoracic surgical oncology. By incorporating detailed molecular data, such as genetic and protein analyses, the study explores new ways to tailor cancer treatments for each patient. The authors focus on how these approaches enhance surgical planning and improve outcomes, especially for complex lung and airway cancers. Emerging technologies, such as next-generation sequencing and molecular imaging, provide deeper insights into tumor behavior, enabling personalized and effective treatment strategies. These findings aim to guide clinicians in using precision medicine to achieve better patient care and set the stage for future research to further improve the field. The landscape of surgical oncology is rapidly evolving with the advent of precision medicine, driven by breakthroughs in genomics and proteomics. This article explores how integrating molecular data is transforming surgical decision-making and enabling personalized treatment strategies. We examine emerging technologies such as next-generation sequencing, proteomic analysis, and molecular imaging, which provide critical insights into tumor biology and guide surgical interventions. The article also highlights the application of genomic and proteomic data in preoperative planning and the development of personalized resection strategies. Additionally, we will address the current challenges and future opportunities in this rapidly evolving field, emphasizing the need for continuous education, interdisciplinary collaboration, and ongoing research to fully realize the potential of precision medicine in thoracic surgical oncology, paving the way for more effective and individualized cancer treatments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
17
Issue :
1
Database :
Complementary Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
182451904
Full Text :
https://doi.org/10.3390/cancers17010115