Back to Search Start Over

Unveiling the potential of proteomic and genetic signatures for precision therapeutics in lung cancer management.

Authors :
Srivastava S
Jayaswal N
Kumar S
Sharma PK
Behl T
Khalid A
Mohan S
Najmi A
Zoghebi K
Alhazmi HA
Source :
Cellular signalling [Cell Signal] 2024 Jan; Vol. 113, pp. 110932. Date of Electronic Publication: 2023 Oct 21.
Publication Year :
2024

Abstract

Lung cancer's enduring global significance necessitates ongoing advancements in diagnostics and therapeutics. Recent spotlight on proteomic and genetic biomarker research offers a promising avenue for understanding lung cancer biology and guiding treatments. This review elucidates genetic and proteomic lung cancer biomarker progress and their treatment implications. Technological strides in mass spectrometry-based proteomics and next-generation sequencing enable pinpointing of genetic abnormalities and abnormal protein expressions, furnishing vital data for precise diagnosis, patient classification, and customized treatments. Biomarker-driven personalized medicine yields substantial treatment improvements, elevating survival rates and minimizing adverse effects. Integrating omics data (genomics, proteomics, etc.) enhances understanding of lung cancer's intricate biological milieu, identifying novel treatment targets and biomarkers, fostering precision medicine. Liquid biopsies, non-invasive tools for real-time treatment monitoring and early resistance detection, gain popularity, promising enhanced management and personalized therapy. Despite advancements, biomarker repeatability and validation challenges persist, necessitating interdisciplinary efforts and large-scale clinical trials. Integrating artificial intelligence and machine learning aids analyzing vast omics datasets and predicting treatment responses. Single-cell omics reveal cellular connections and intratumoral heterogeneity, valuable for combination treatments. Biomarkers enable accurate diagnosis, tailored medicines, and treatment response tracking, significantly impacting personalized lung cancer care. This approach spurs patient-centered trials, empowering active patient engagement. Lung cancer proteomic and genetic biomarkers illuminate disease biology and treatment prospects. Progressing towards individualized efficient therapies is imminent, alleviating lung cancer's burden through ongoing research, omics integration, and technological strides.<br />Competing Interests: Declaration of Competing Interest The authors have no conflict of interest in the submission of this article.<br /> (Copyright © 2023 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-3913
Volume :
113
Database :
MEDLINE
Journal :
Cellular signalling
Publication Type :
Academic Journal
Accession number :
37866667
Full Text :
https://doi.org/10.1016/j.cellsig.2023.110932