Abstract:
UNLABELLED:Despite significant advances in surgical procedures and treatment, long-term prognosis for patients with oral cancer remains poor, with survival rates among the lowest of major cancers. Better methods are desperately needed to identify potential malignancies early when treatments are more effective. OBJECTIVE:To develop robust classification models from cytology-on-a-chip measurements that mirror diagnostic performance of gold standard approach involving tissue biopsy. MATERIALS AND METHODS:Measurements were recorded from 714 prospectively recruited patients with suspicious lesions across 6 diagnostic categories (each confirmed by tissue biopsy -histopathology) using a powerful new 'cytology-on-a-chip' approach capable of executing high content analysis at a single cell level. Over 200 cellular features related to biomarker expression, nuclear parameters and cellular morphology were recorded per cell. By cataloging an average of 2000 cells per patient, these efforts resulted in nearly 13 million indexed objects. RESULTS:Binary "low-risk"/"high-risk" models yielded AUC values of 0.88 and 0.84 for training and validation models, respectively, with an accompanying difference in sensitivity+specificity of 6.2%. In terms of accuracy, this model accurately predicted the correct diagnosis approximately 70% of the time, compared to the 69% initial agreement rate of the pool of expert pathologists. Key parameters identified in these models included cell circularity, Ki67 and EGFR expression, nuclear-cytoplasmic ratio, nuclear area, and cell area. CONCLUSIONS:This chip-based approach yields objective data that can be leveraged for diagnosis and management of patients with PMOL as well as uncovering new molecular-level insights behind cytological differences across the OED spectrum.
journal_name
Oral Oncoljournal_title
Oral oncologyauthors
Abram TJ,Floriano PN,Christodoulides N,James R,Kerr AR,Thornhill MH,Redding SW,Vigneswaran N,Speight PM,Vick J,Murdoch C,Freeman C,Hegarty AM,D'Apice K,Phelan JA,Corby PM,Khouly I,Bouquot J,Demian NM,Weinstock YE,doi
10.1016/j.oraloncology.2016.07.002subject
Has Abstractpub_date
2016-09-01 00:00:00pages
103-11eissn
1368-8375issn
1879-0593pii
S1368-8375(16)30096-3journal_volume
60pub_type
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