ArticleTranslational cancer research2024
Diagnostic accuracy of folate receptor-positive circulating tumor cells in differentiating between benign and malignant pulmonary nodules.
Article in Translational cancer research, 2024. 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.
- Article
- Novel biomarkers for lung cancer diagnosis in chronic obstructive pulmonary disease: a systematic review and metanalysis.Discover oncology · 2026Article
- Liquid biopsy biomarkers for accurate detection of malignant pulmonary nodules: a meta-analytic approach.Discover oncology · 2026Article
- Development and validation of CT radiomics diagnostic models: differentiating benign from malignant pulmonary nodules and evaluating malignancy degree.Journal of thoracic disease · 2025Article
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8 authors.
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Abstract
Background: Currently, traditional blood biomarkers such as neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCA) etc. are mostly elevated in the late stage of tumour, and patients have already lost the chance of tumour eradication when the relevant indexes are found to be elevated. Therefore, there is a need for blood biomarkers with higher sensitivity, better specificity, and better accessibility. Folate receptor-positive circulating tumor cells (FR Methods: Based on the inclusion and exclusion guidelines, we retrospectively analysed 1,135 patients with pulmonary nodules who underwent tissue biopsy or surgical resection after FR Results: A total of 612 patients were included in the lung cancer group, predominantly presenting with stage I adenocarcinomas (n=458). The median age was 54 years, and 43.1% of the patients were male. In comparison, 523 patients were included in the benign pulmonary nodules group, with a median age of 53 years and 46.8% male. No significant differences were identified between the two groups with regard to gender or age (P>0.05). The level of FR Conclusions: FR
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