ReviewCells2025
Utility and Future Perspectives of Circulating Tumor DNA Analysis in Non-Small Cell Lung Cancer Patients in the Era of Perioperative Chemo-Immunotherapy.
Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Robotic Thoracic Surgery After Neoadjuvant Chemo-Immunotherapy for NSCLC: A Narrative Review.Cancers · 2026Review
- Liquid Biopsy Biomarkers for Predicting and Monitoring Immunotherapy Response in Lung Cancer.Cancers · 2026Review
- Clinical and translational roles of circulating tumor cells in non-small cell and small cell lung cancer: a narrative review.Journal of thoracic disease · 2026Review
- Progress in perioperative immunotherapy for lung cancer and analysis of therapy (Review).Oncology letters · 2026Review
- Perioperative EGFR-Targeted Therapy in Resectable EGFR-Mutated NSCLC: A Narrative Review from Drug Design to Pain-Informed MRD-Guided Care.Drug design, development and therapy · 2026Review
- Evolving non-invasive biomarkers in NSCLC immunotherapy: integrating liquid biopsy and multi-omics profiling for precision oncology.Frontiers in immunology · 2026Review
- Article
- Hematological Biomarkers for Early Detection of Lung Cancer: Evaluating the Diagnostic Potential of Circulating Interleukin Levels.International journal of molecular 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
3 authors.
Funding
Abstract
Perioperative/neoadjuvant chemo-immunotherapy is a standard treatment for patients with resectable non-small cell lung cancer (NSCLC). However, several key clinical questions remain unresolved, including the monitoring of tumor response during neoadjuvant treatment, detection of residual disease after neoadjuvant treatment or after surgery, stratification of recurrence risk, and earlier detection of disease recurrence. Circulating tumor DNA (ctDNA) has emerged as a promising biomarker to address these challenges. Data from several recent clinical trials of perioperative/neoadjuvant chemo-immunotherapy demonstrated that ctDNA clearance before surgery was associated with higher rates of major pathological response. Additionally, landmark ctDNA positivity after surgery identified patients at high risk of disease recurrence, and longitudinal ctDNA monitoring enabled earlier detection of recurrence compared with radiographic surveillance. Several ongoing trials are incorporating ctDNA as a biomarker to guide treatment decisions, including optimizing the duration of neoadjuvant therapy, evaluating the need for surgery, and tailoring adjuvant strategies. These trials, together with further development of ctDNA detection technologies, will clarify the role of ctDNA analysis in refining perioperative treatment strategies and may ultimately enable individualized care in patients with resectable NSCLC. In this review, we discuss the current research data on ctDNA analysis in NSCLC in this era of perioperative chemo-immunotherapy.
Indexed as
Identifiers
What Socratic 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 Socratic graph.