Automated sputum cytometry for detection of intraepithelial neoplasias in the lung

Gerald Li, Martial Guillaud, Jean Leriche, Annette McWilliams, Adi Gazdar, Stephen Lam, Calum MacAulay

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Background: Despite the benefits of early lung cancer detection, no effective strategy for early screening and treatment exists, partly due to a lack of effective surrogate biomarkers. Our novel sputum biomarker, the Combined Score (CS), uses automated image cytometric analysis of ploidy and nuclear morphology to detect subtle intraepithelial changes that often precede lung tumours. Methods: 2249 sputum samples from 1795 high-risk patients enrolled in ongoing chemoprevention trials were subjected to automated quantitative image cytometry after Feulgen-thionin staining. Samples from normal histopathology patients were compared against samples from carcinoma in situ (CIS) and cancer patients to train the CS. Results: CS correlates with several lung cancer risk factors, including histopathological grade, age, smoking status, and p53 and Ki67 immunostaining. At 50% specificity, CS detected 78% of all highest-risk subjects-those with CIS or worse plus those with moderate or severe dysplasia and abnormal nuclear morphology. Conclusion: CS is a powerful yet minimally invasive tool for rapid and inexpensive risk assessment for the presence of precancerous lung lesions, enabling enrichment of chemoprevention trials with highest-risk dysplasias. CS correlates with other biomarkers, so CS may find use as a surrogate biomarker for patient assessment and as an endpoint in chemoprevention clinical trials.

Original languageEnglish (US)
Pages (from-to)187-201
Number of pages15
JournalAnalytical Cellular Pathology
Issue number3
StatePublished - 2012


  • Biomarkers and intervention
  • Biomarkers and intervention studies
  • Cancer surveillance and screening
  • Chemoprevention
  • Intermediate or pre-neoplastic markers and risk factors
  • Intraepithelial neoplasia (IEN)
  • Lung cancer
  • Risk assessment

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Molecular Medicine
  • Cell Biology
  • Cancer Research


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