ReviewCancers2021
The Liquid Biopsy for Lung Cancer: State of the Art, Limitations and Future Developments.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06105177 (Implementation of Up-front ctDNA Analysis Into Lung Cancer Care and Development of Liquid Biopsy-based Decision Support Models - the Lungmarker² Study), which is not on this map. Cited by 51 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Implementation of Up-front ctDNA Analysis Into Lung Cancer Care and Development of Liquid Biopsy-based Decision Support Models - the Lungmarker² Study
Who cites it
51 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Prediction of oncogene mutation status in non-small cell lung cancer: a systematic review and meta-analysis with a special focus on artificial intelligence-based methods.European radiology · 2026Pooled it
- Pooled it
- Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer.International journal of molecular sciences · 2023Pooled it
- Potential clinical utility of liquid biopsy in early-stage non-small cell lung cancer.BMC medicine · 2022Pooled it
- Study of the Spectral-Luminescent Properties of Saliva in Patients With Lung Cancer.Journal of biophotonics · 2026Article
- [Applications and limitations of liquid biopsy : Applications and methodological limitations of cell-free DNA analysis in tumor diagnostics].Pathologie (Heidelberg, Germany) · 2026Review
- An Explainable Transformer-Based Framework for Lung Cancer Classification and Automated Radiology Report Generation from Multi-Slice CT Images.Biomedicines · 2026Article
- Diagnostic Accuracy of Sputum and Bronchoscopy-Guided Cytology Compared With Bronchial Biopsy in Pulmonary Lesions.Cureus · 2026Article
- Proof of concept for aqueous two-phase system-based extraction of cell-free DNA from plasma for liquid biopsy applications.Scientific reports · 2026Article
- A CT imaging-based deep learning model for predicting EGFR and KRAS mutations in non-small cell lung cancer: toward personalized treatment approaches.Translational lung cancer research · 2026Article
- Evaluation of the Cellsway Microfluidic CTC Enrichment and Identification Platform for CTC Detection in Metastatic NSCLC.Biosensors · 2026Article
- Liquid biopsies for detection, characterization, and interception of therapy resistance in thoracic malignancies.Frontiers in oncology · 2026Review
- Early multi-cancer detection using liquid biopsy: emerging biomarkers and clinical strategies.Frontiers in oncology · 2026Review
- Biomarker-Driven Treatments for Ovarian Cancer: Moving Beyond HRD?International journal of women's health · 2026Review
- Predicting response to patients with gastric cancer via a dynamic-aware model with longitudinal liquid biopsy data.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Article
- Liquid biopsy in lung cancer.Breathe (Sheffield, England) · 2025Review
- Precision Medicine in Lung Cancer Screening: A Paradigm Shift in Early Detection-Precision Screening for Lung Cancer.Diagnostics (Basel, Switzerland) · 2025Review
- Liquid biopsies for early detection and monitoring of cancer: advances, challenges, and future directions.Annals of medicine and surgery (2012) · 2025Review
- Comprehensive Analysis of Advancement in Optical Biosensing Techniques for Early Detection of Cancerous Cells.Biosensors · 2025Review
- Effect ofPakistan journal of medical sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is a leading cause of cancer-related deaths, contributing to 18.4% of cancer deaths globally. Treatment of non-small cell lung carcinoma has seen rapid progression with targeted therapies tailored to specific genetic drivers. However, identifying genetic alterations can be difficult due to lack of tissue, inaccessible tumors and the risk of complications for the patient with serial tissue sampling. The liquid biopsy provides a minimally invasive method which can obtain circulating biomarkers shed from the tumor and could be a safer alternative to tissue biopsy. While tissue biopsy remains the gold standard, liquid biopsies could be very beneficial where serial sampling is required, such as monitoring disease progression or development of resistance mutations to current targeted therapies. Liquid biopsies also have a potential role in identifying patients at risk of relapse post treatment and as a component of future lung cancer screening protocols. Rapid developments have led to multiple platforms for isolating circulating tumor cells (CTCs) and detecting circulating tumor DNA (ctDNA); however, standardization is lacking, especially in lung carcinoma. Additionally, clonal hematopoiesis of uncertain clinical significance must be taken into consideration in genetic sequencing, as it introduces the potential for false positives. Various biomarkers have been investigated in liquid biopsies; however, in this review, we will concentrate on the current use of ctDNA and CTCs, focusing on the clinical relevance, current and possible future applications and limitations of each.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.