ArticleCancer medicine2022
Dynamic monitoring serum tumor markers to predict molecular features of EGFR-mutated lung cancer during targeted therapy.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
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- Overview of approaches to estimate real-world disease progression in lung cancer.JNCI cancer spectrum · 2023Review
- Clinicopathological characteristics correlated with programmed cell death-ligand 1 expression in advanced lung adenocarcinoma.Journal of thoracic disease · 2023Article
- A simple and available measurement of onco-sEV dsDNA to protein ratio as a potential tumor marker.BMC cancer · 2023Article
- Cell-Free DNA in the Pathogenesis and Therapy of Non-Infectious Inflammations and Tumors.Biomedicines · 2022Review
- Dynamic monitoring serum tumor markers to predict molecular features of EGFR-mutated lung cancer during targeted therapy.Cancer medicine · 2022Article
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Authors and funding
18 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To reveal the correlation of dynamic serum tumor markers (STMs) and molecular features of epidermal growth factor receptor-mutated (EGFR-mutated) lung cancer during targeted therapy, we retrospectively reviewed 303 lung cancer patients who underwent dynamic STM tests [neuron-specific enolase (NSE), carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153), the soluble fragment of cytokeratin 19 (CYFRA21-1), and squamous cell carcinoma antigen (SCC)] and circulating tumor DNA (ctDNA) testing with a panel covering 168 genes. At baseline, patients with EGFR mutation trended to have abnormal CEA, abnormal CA153, and normal SCC levels. Additionally, patients with Thr790Met (T790M) mutation were more likely to have abnormal CEA levels than patients without T790M mutation. Among patients with secondary resistance to EGFR tyrosine kinase inhibitors (TKI), the dynamic STMs showed a descending trend in the responsive stage and a rising trend in the resistant stage. However, the changing slopes differed between T790M subgroup and the non-T790M subgroup in individual STMs. Our study demonstrated that the combination of baseline levels and variations of STMs (including the responsive stage and resistant stage) can be suggestive of secondary EGFR-T790M mutation [area under the curve (AUC) = 0.897] and that changing trends of STMs (within 8 weeks after initiating the TKI therapy) can be potential predictors for the clearance of EGFR ctDNA [AUC = 0.871]. In conclusion, dynamic monitoring STMs can help to predict the molecular features of EGFR-mutated lung cancer during targeted therapy.
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