Assessment of circulating biomarkers for detection of lung cancer in a high-risk cohort

Morten Borg*, Line Nederby, Sara Witting Christensen Wen, Torben Frøstrup Hansen, Anders Jakobsen, Rikke Fredslund Andersen, Ulla Møller Weinreich, Ole Hilberg

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

BACKGROUND: There is an urgent need for early detection of lung cancer. Screening with low-dose computed tomography (LDCT) is now implemented in the US. Supplementary use of a lung cancer biomarker with high specificity is desirable.

OBJECTIVE: To assess the diagnostic properties of a biomarker panel consisting of cytokeratin 19 fragment (CYFRA 21-1), carcinoembryonic antigen (CEA) and cancer antigen 125 (CA125).

METHODS: A cohort of 250 high-risk patients was investigated on suspicion of lung cancer. Ahead of diagnostic work-up, blood samples taken. Cross-validated prediction models were computed to assess lung cancer detection properties.

RESULTS: In total 32% (79/250) of patients were diagnosed with lung cancer. Area under the curve (AUC) for the three biomarkers was of 0.795, with sensitivity/specificity of 57%/93% and negative predictive value of 83%. When combining the biomarkers with US screening criteria, the AUC was 0.809, while applying only US screening criteria on the cohort, yielded an AUC of 0.62. The ability of the biomarkers to detect stage I-II lung cancer was substantially lower; AUC 0.54.

CONCLUSIONS: In a high-risk cohort, the detection properties of the three biomarkers were acceptable compared to current LDCT screening criteria. However, the ability to detect early stage lung cancer was low.

Original languageEnglish
JournalCancer biomarkers
Volume36
Issue number1
Pages (from-to)63-69
Number of pages7
ISSN1574-0153
DOIs
Publication statusPublished - 20 Jan 2023

Keywords

  • Lung cancer
  • biomarkers
  • cancer antigen 125 (CA125)
  • carcinoembryonic antigen (CEA)
  • cytokeratin 19 fragment (CYFRA 21-1)
  • screening

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