Automated Sputum Cytometry for Detection of Intraepithelial Neoplasias in the Lung

Autor: Gerald Li, Martial Guillaud, Jean LeRiche, Annette McWilliams, Adi Gazdar, Stephen Lam, Calum MacAulay
Rok vydání: 2012
Předmět:
Adult
Male
biomarkers and intervention
Cancer Research
Lung Neoplasms
Bronchi
Respiratory Mucosa
01 natural sciences
Pathology and Forensic Medicine
010309 optics
Automation
03 medical and health sciences
0302 clinical medicine
0103 physical sciences
Humans
chemoprevention
RC254-282
Early Detection of Cancer
Aged
Image Cytometry
Aged
80 and over
quantitative image cytometry
QH573-671
cancer surveillance and screening
Intraepithelial neoplasia (IEN)
chemoprevention clinical trials
Carcinoma
Sputum
intermediate or pre-neoplastic markers and risk factors
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
risk assessment
Cell Biology
General Medicine
Middle Aged
respiratory tract diseases
3. Good health
lung cancer
030220 oncology & carcinogenesis
Molecular Medicine
Female
biomarkers and intervention studies
Other
Cytology
malignancy associated changes
ploidy analysis
Zdroj: Analytical Cellular Pathology (Amsterdam)
Analytical Cellular Pathology, Vol 35, Iss 3, Pp 187-201 (2012)
ISSN: 2210-7185
2210-7177
DOI: 10.1155/2012/289625
Popis: 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 carcinomain 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.
Databáze: OpenAIRE
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