ReviewInternational journal of molecular sciences2024
The Role of ctDNA in the Management of Non-Small-Cell Lung Cancer in the AI and NGS Era.
Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Research trends and hotspots of circulating tumor DNA in colorectal cancer: a bibliometric study.Frontiers in oncology · 2025Pooled it
- HHV-7 encephalitis following allogeneic hematopoietic stem cell transplantation: A case report and literature review.Cell transplantationPooled it
- Drug repurposing in KRAS G12C-mutant NSCLC: a focus on resistance mechanisms and clinical strategies.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- ALK rearrangements and resistance mutations in non-small cell lung cancer: molecular mechanisms and therapeutic implications.Cancer chemotherapy and pharmacology · 2026Review
- Article
- Impact of Variant Allele Frequency (VAF) Levels on Clinical Efficacy of Osimertinib in Patients with Metastatic NSCLC.Medical sciences (Basel, Switzerland) · 2026Review
- Circulating Tumor DNA in Melanoma: Advances in Detection, Clinical Applications, and Integration with Emerging Technologies.International journal of molecular sciences · 2026Review
- Genetic landscape features associated with PD-L1 expression status in advanced lung adenocarcinoma: a targeted sequencing analysis.Frontiers in oncology · 2026Article
- Review
- A comprehensive overview of minimal residual disease in the management of early-stage and locally advanced non-small cell lung cancer.NPJ precision oncology · 2025Article
- Liquid biopsies in cancer.Molecular biomedicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a minimally invasive method for gathering both quantitative and qualitative information. Genomic analysis of ctDNA through next-generation sequencing (NGS) enables comprehensive genetic profiling of tumours, including non-driver alterations that offer prognostic insights. LB can be applied in both early-stage disease settings, for the diagnosis and monitoring of minimal residual disease (MRD), and advanced disease settings, for monitoring treatment response and understanding the mechanisms behind disease progression and tumour heterogeneity. Currently, LB has limited use in clinical practice, primarily due to its significant costs, limited diagnostic yield, and uncertain prognostic role. The application of artificial intelligence (AI) in the medical field is a promising approach to processing extensive information and applying it to individual cases to enhance therapeutic decision-making and refine risk assessment.
Indexed as
Identifiers
What OpenQuestion holds
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.