» Articles » PMID: 36497263

Non-Invasive Biomarkers for Early Lung Cancer Detection

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2022 Dec 11
PMID 36497263
Authors
Affiliations
Soon will be listed here.
Abstract

Worldwide, lung cancer (LC) is the most common cause of cancer death, and any delay in the detection of new and relapsed disease serves as a major factor for a significant proportion of LC morbidity and mortality. Though invasive methods such as tissue biopsy are considered the gold standard for diagnosis and disease monitoring, they have several limitations. Therefore, there is an urgent need to identify and validate non-invasive biomarkers for the early diagnosis, prognosis, and treatment of lung cancer for improved patient management. Despite recent progress in the identification of non-invasive biomarkers, currently, there is a shortage of reliable and accessible biomarkers demonstrating high sensitivity and specificity for LC detection. In this review, we aim to cover the latest developments in the field, including the utility of biomarkers that are currently used in LC screening and diagnosis. We comment on their limitations and summarise the findings and developmental stages of potential molecular contenders such as microRNAs, circulating tumour DNA, and methylation markers. Furthermore, we summarise research challenges in the development of biomarkers used for screening purposes and the potential clinical applications of newly discovered biomarkers.

Citing Articles

PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms.

Hosseini S, Hajianfar G, Ghaffarian P, Seyfi M, Hosseini E, Aval A Phys Eng Sci Med. 2024; 47(4):1613-1625.

PMID: 39225775 PMC: 11666702. DOI: 10.1007/s13246-024-01475-0.


AI Applied to Volatile Organic Compound (VOC) Profiles from Exhaled Breath Air for Early Detection of Lung Cancer.

Vinhas M, Leitao P, Raimundo B, Gil N, Vaz P, Luis-Ferreira F Cancers (Basel). 2024; 16(12).

PMID: 38927906 PMC: 11201396. DOI: 10.3390/cancers16122200.


The Early Diagnosis of Lung Cancer: Critical Gaps in the Discovery of Biomarkers.

Gasparri R, Sabalic A, Spaggiari L J Clin Med. 2023; 12(23).

PMID: 38068296 PMC: 10707119. DOI: 10.3390/jcm12237244.


A Novel Urine Test Biosensor Platform for Early Lung Cancer Detection.

Wiesel O, Sung S, Katz A, Leibowitz R, Bar J, Kamer I Biosensors (Basel). 2023; 13(6).

PMID: 37366992 PMC: 10296167. DOI: 10.3390/bios13060627.


Advances in Lung Cancer Therapy.

Galetta D Cancers (Basel). 2023; 15(10).

PMID: 37345008 PMC: 10216240. DOI: 10.3390/cancers15102671.


References
1.
Sacher A, Komatsubara K, Oxnard G . Application of Plasma Genotyping Technologies in Non-Small Cell Lung Cancer: A Practical Review. J Thorac Oncol. 2017; 12(9):1344-1356. DOI: 10.1016/j.jtho.2017.05.022. View

2.
Chen P, Cai L, Huffman K, Yang C, Kim J, Faubert B . Metabolic Diversity in Human Non-Small Cell Lung Cancer Cells. Mol Cell. 2019; 76(5):838-851.e5. PMC: 6898782. DOI: 10.1016/j.molcel.2019.08.028. View

3.
Ji X, Bosse Y, Landi M, Gui J, Xiao X, Qian D . Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun. 2018; 9(1):3221. PMC: 6089967. DOI: 10.1038/s41467-018-05074-y. View

4.
Cassidy A, Myles J, van Tongeren M, Page R, Liloglou T, Duffy S . The LLP risk model: an individual risk prediction model for lung cancer. Br J Cancer. 2007; 98(2):270-6. PMC: 2361453. DOI: 10.1038/sj.bjc.6604158. View

5.
Belinsky S, Liechty K, Gentry F, Wolf H, Rogers J, Vu K . Promoter hypermethylation of multiple genes in sputum precedes lung cancer incidence in a high-risk cohort. Cancer Res. 2006; 66(6):3338-44. DOI: 10.1158/0008-5472.CAN-05-3408. View