ArticleCancer research and treatment2022
The Feasibility of Using Biomarkers Derived from Circulating Tumor DNA Sequencing as Predictive Classifiers in Patients with Small-Cell Lung Cancer.
Article in Cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Small Cell Lung Cancer in Transition: Recent Advances in Biology, Treatment, and Precision Medicine.Cancers · 2026Review
- Article
- The complete treatment and management of brain metastases in a patient with limited-stage small cell lung cancer under molecular residual disease (MRD) monitoring: a case report.AME case reports · 2026Article
- State of the art in treatment of small cell lung cancer.Therapeutic advances in medical oncology · 2025Review
- Can liquid biopsy dynamics stratify patients with small cell lung cancer?Translational lung cancer research · 2023Article
- Prognostic and predictive impact of molecular tumor burden index in non-small cell lung cancer patients.Thoracic cancer · 2023Article
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Authors and funding
15 authors at 4 institutions in 1 country.
Funding
Abstract
purposeTo investigate the feasibility of biomarkers based on dynamic circulating tumor DNA (ctDNA) to classify small cell lung cancer (SCLC) into different subtypes. MATERIALS AND
methodsTumor and longitudinal plasma ctDNA samples were analyzed by next-generation sequencing of 1,021 genes. PyClone was used to infer the molecular tumor burden index (mTBI). Pre-treatment tumor tissues [T1] and serial plasma samples were collected (pre-treatment [B1], after two [B2], six [B3] cycles of chemotherapy and at progression [B4]).
resultsOverall concordance between T1 and B1 sequencing (n=30) was 66.5%, and 89.5% in the gene of RB1. A classification method was designed according to the changes of RB1 mutation, named as subtype Ⅰ (both positive at B1 and B2), subtype Ⅱ (positive at B1 but negative at B2), and subtype Ⅲ (both negative at B1 and B2). The median progressive-free survival for subtype Ⅰ patients (4.5 months [95%CI: 2.6-5.8]) was inferior to subtype Ⅱ (not reached, p<0.0001) and subtype Ⅲ (10.8 months [95%CI: 6.0-14.4], p=0.002). The median overall survival for subtype Ⅰ patients (16.3 months [95%CI: 5.3-22.9]) was inferior to subtype Ⅱ (not reached, p=0.01) and subtype Ⅲ (not reached, p=0.02). Patients with a mTBI dropped to zero at B2 had longer median overall survival (not reached vs. 19.5 months, p=0.01). The changes of mTBI from B4 to B1 were sensitive to predict new metastases, with a sensitivity of 100% and a specificity of 85.7%.
conclusionMonitoring ctDNA based RB1 mutation and mTBI provided a feasible tool to predict the prognosis of SCLC.
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