ArticleAnnals of translational medicine2022
Monitoring early dynamic changes of plasma cell-free DNA and pretreatment pre-albumin to predict chemotherapy effectiveness and survival outcomes in advanced non-small cell lung cancer.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 22 citations in OpenAlex.
- Prognostic significance ofTranslational cancer research · 2025Article
- Screening for a practical method to monitor the status of patients with metastatic bladder cancer at the circulating cell-gene level.Scientific reports · 2023Article
- Relationship between plasma circulating cell-free DNA concentration and treatment outcomes including prognosis in patients with advanced non-small cell lung cancer.BMC pulmonary medicine · 2023Article
- Anlotinib as Maintenance Therapy After First-Line Chemotherapy Combined with Consolidation Radiation for Extensive-Stage Small Cell Lung Cancer.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to determine whether plasma cell-free DNA (cfDNA) and pretreatment parameters provide useful therapeutic response and prognostic information for advanced non-small cell lung cancer (NSCLC) patients. Methods: A total of 114 patients with advanced NSCLC who underwent systemic chemotherapy were included in this study. Detection of plasma cfDNA concentration and blood parameters before and at the sixth week after treatment was performed. The prognostic value of cfDNA dynamic changes and laboratory parameters was determined via a receiver operating characteristic (ROC) curve, and then analyzed by comparing with the therapeutic efficacy and progression-free survival (PFS). Based on the ROC curve, it revealed a pretreatment pre-albumin (PA) concentration of 21.7 mg/dL was the cut-off value. The Cox proportional hazards regression model was used to evaluate the predictive factors for treatment response and PFS via univariate and multivariate analyses. Results: Patients with cfDNA reduction ≥20% at the sixth week after treatment reported a significantly better disease control rate (DCR) and prolonged PFS (median PFS: 10.0 Conclusions: Monitoring cfDNA changes and pretreatment pre-albumin level in advanced NSCLC patients receiving treatment is an accurate predictor of tumor response and PFS. Combined assessment of cfDNA and pretreatment pre-albumin is helpful for predicting survival outcomes. These findings may assist in identifying high-risk patients and guiding treatment strategies.
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