Emerging trends in oncology: a comprehensive literature review

Recent decades have witnessed remarkable advancements in the field of oncology, with innovations spanning from novel immunotherapies to precision medicine approaches tailored to individual tumor profiles. This comprehensive literature review explores emerging trends in oncology, encompassing diverse topics such as the genomic landscape of cancer, the advent of liquid biopsies for non-invasive diagnostics, and the intricate interplay between cancer cells and the tumor microenvironment. Additionally, this review delves into the transformative potential of artificial intelligence and machine learning in cancer research and clinical decision-making. Furthermore, it addresses critical issues including cancer epidemiology, disparities in access to care, and strategies for optimizing cancer survivorship and quality of life. By synthesizing recent research findings and highlighting key developments, this review aims to provide a holistic perspective on the evolving landscape of oncology, offering insights that may guide future research directions and enhance patient care outcomes.

Authors

Publication Details

Journal
Surgery and Oncology
Published
2024-09-12
DOI
https://doi.org/10.17650/2949-5857-2024-14-3-59-68
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Emerging trends in oncology: a comprehensive literature review

Kirolos Eskandar
Surgery and Oncology
Cancer Genomics and Diagnostics
article

Emerging trends in oncology: a comprehensive literature review

Kirolos Eskandar
article en

Abstract

Recent decades have witnessed remarkable advancements in the field of oncology, with innovations spanning from novel immunotherapies to precision medicine approaches tailored to individual tumor profiles. This comprehensive literature review explores emerging trends in oncology, encompassing diverse topics such as the genomic landscape of cancer, the advent of liquid biopsies for non-invasive diagnostics, and the intricate interplay between cancer cells and the tumor microenvironment. Additionally, this review delves into the transformative potential of artificial intelligence and machine learning in cancer research and clinical decision-making. Furthermore, it addresses critical issues including cancer epidemiology, disparities in access to care, and strategies for optimizing cancer survivorship and quality of life. By synthesizing recent research findings and highlighting key developments, this review aims to provide a holistic perspective on the evolving landscape of oncology, offering insights that may guide future research directions and enhance patient care outcomes.

Surgery and OncologyVol. 14(3)
Openalex Percentile: Top 78%
Cancer Genomics and Diagnostics
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