Biosensors as transformative tools for detection of lung cancer based on non-coding RNA
12 affiliations
- 1Department of Biology, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran
- 2Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
- 3Student Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- 4Department of Molecular Medicine, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
- 5Medical Cellular and Molecular Research Center, Golestan University of Medical Sciences, Gorgan, Iran
- 6Behbahan Faculty of Medical Sciences, Behbahan, Iran
- 7Abadan University of Medical Sciences, Abadan, Iran
- 8Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran
- 9Department of Clinical Biochemistry, Research Center for Environmental Contaminants (RCEC), Abadan University of Medical Sciences, Abadan, Iran
- 10Department of Nursing, Malayer School of Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
- 11Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran
- 12Department of Molecular Medicine, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran
Abstract
Lung cancer remains one of the most prevalent and lethal malignancies worldwide, resulting in approximately 1.5 million deaths annually. Currently, more than 75% of cases are diagnosed at an advanced stage due to the lack of effective early detection methods. Although several conventional diagnostic techniques are available, many exhibits limited sensitivity for early-stage detection and are often associated with high costs and invasiveness. Therefore, there is an urgent need for more accurate, cost-effective, and rapid approaches for early screening. Numerous lung cancer-associated non-coding RNAs (ncRNAs) have been extensively investigated as promising biomarkers for diagnosis, prognosis, and therapeutic monitoring. To leverage these biomarkers, various nanomaterial-enhanced biosensors—utilizing electrochemical, optical, and electromechanical platforms—have been developed for the rapid and selective detection of ncRNAs. This review provides a comprehensive overview of recent advances in nanobiosensor technologies for detecting lung cancer-associated ncRNAs, highlighting their substantial diagnostic potential while critically addressing the technical bottlenecks, reproducibility challenges, and regulatory hurdles that must be overcome for their successful clinical translation.
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BibTeX
@article{taghvimi2026biosensors,
title = {{Biosensors as transformative tools for detection of lung cancer based on non-coding RNA}},
author = {Sina Taghvimi and Zoleikha Asadi and Sajad Ehtiati and Mahzad Nikbakhtrad and Zeinab Chaharlashkar and Fereshteh Rahdan and Seyyed Hossein Khatami and Seyed Mohammad Salehi Behbahani and Hamidreza Zaheri and Ahmad Movahedpour and Hassan Ghasemi and Elahe Soltani Fard},
journal = {Cancer Cell International},
year = {2026},
month = aug,
doi = {10.1186/s12935-026-04435-8},
url = {https://doi.org/10.1186/s12935-026-04435-8},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Biosensors as transformative tools for detection of lung cancer based on non-coding RNA
AU - Sina Taghvimi
AU - Zoleikha Asadi
AU - Sajad Ehtiati
AU - Mahzad Nikbakhtrad
AU - Zeinab Chaharlashkar
AU - Fereshteh Rahdan
AU - Seyyed Hossein Khatami
AU - Seyed Mohammad Salehi Behbahani
AU - Hamidreza Zaheri
AU - Ahmad Movahedpour
AU - Hassan Ghasemi
AU - Elahe Soltani Fard
PY - 2026
DA - 2026/08/06
JO - Cancer Cell International
DO - 10.1186/s12935-026-04435-8
UR - https://doi.org/10.1186/s12935-026-04435-8
AB - Lung cancer remains one of the most prevalent and lethal malignancies worldwide, resulting in approximately 1.5 million deaths annually. Currently, more than 75% of cases are diagnosed at an advanced stage due to the lack of effective early detection methods. Although several conventional diagnostic techniques are available, many exhibits limited sensitivity for early-stage detection and are often associated with high costs and invasiveness. Therefore, there is an urgent need for more accurate, cost-effective, and rapid approaches for early screening. Numerous lung cancer-associated non-coding RNAs (ncRNAs) have been extensively investigated as promising biomarkers for diagnosis, prognosis, and therapeutic monitoring. To leverage these biomarkers, various nanomaterial-enhanced biosensors—utilizing electrochemical, optical, and electromechanical platforms—have been developed for the rapid and selective detection of ncRNAs. This review provides a comprehensive overview of recent advances in nanobiosensor technologies for detecting lung cancer-associated ncRNAs, highlighting their substantial diagnostic potential while critically addressing the technical bottlenecks, reproducibility challenges, and regulatory hurdles that must be overcome for their successful clinical translation.
SN - 1475-2867
ER -