Song He1, Gui-lan Wang2, Yuan-yuan Zhu3, Mei-hua Wu3, Zhi-guo Ji1, Juan Seng2, Yi Ji3, Jia-ming Zhou2, Li Chen4. 1. Department of Pathology, Affiliated Tumor Hospital, Nantong University, Nantong, China. 2. Department of Pathological Anatomy, Nantong University, Nantong, China. 3. Biomics Biotechnologies Co., Ltd, Nantong, China. 4. Department of Pathology, Affiliated Tumor Hospital, Nantong University, Nantong, China; Department of Pathological Anatomy, Nantong University, Nantong, China. Electronic address: bl1@ntu.edu.cn.
Abstract
BACKGROUND: CellDetect® staining technique is a newly invented technique for cancer diagnosis. It easily distinguishes between normal and neoplastic cells including pre-cancer and squamous cell carcinoma (SCC) cells, based on staining color and morphology. In this study, application of CellDetect® staining technique was assessed in diagnosis of human cervical cancer as compared with hematoxylin and eosin (H&E) staining in conventional slides and Thinprep cytologic test (TCT) smears. METHODS: The conventional slides and TCT smears of 600 patients were stained and observed while comparing with H&E staining to assess sensitivity and specificity of CellDetect® staining technique in diagnosis of cervical cancer. Conventional smear slides (440 cases) were fixed in 95% ethanol or with CYTOFIX® Spray. TCT smears (160 cases) were processed based on manual. The paraffin sections from cervical intraepithelium neoplasia (CIN) 2-3 and SCC cases were prepared by biopsy. RESULTS: CellDetect® staining exhibited well cell morphology, simultaneously, showed dual color discrimination, the stain targeted cytoplasm in normal cells in green and dysplastic cells or neoplastic cells in purple/red. Both cervical cell smears or both fixation methods in conventional slides did not affect CellDetect® staining diagnosis, especially in tissue biopsies CellDetect® staining exhibited well epithelium layers to benefit the diagnosis of CIN grade. The sensitivity and specificity of CellDetect® staining technology in diagnosing CIN and SCC were 94.34% and 88.73%, respectively. CONCLUSIONS: CellDetect® staining technique provided a dual color discrimination and morphological analysis. It has the potential to become one of the most effective methods for cervical screening and early diagnosis.
BACKGROUND:CellDetect® staining technique is a newly invented technique for cancer diagnosis. It easily distinguishes between normal and neoplastic cells including pre-cancer and squamous cell carcinoma (SCC) cells, based on staining color and morphology. In this study, application of CellDetect® staining technique was assessed in diagnosis of humancervical cancer as compared with hematoxylin and eosin (H&E) staining in conventional slides and Thinprep cytologic test (TCT) smears. METHODS: The conventional slides and TCT smears of 600 patients were stained and observed while comparing with H&E staining to assess sensitivity and specificity of CellDetect® staining technique in diagnosis of cervical cancer. Conventional smear slides (440 cases) were fixed in 95% ethanol or with CYTOFIX® Spray. TCT smears (160 cases) were processed based on manual. The paraffin sections from cervical intraepithelium neoplasia (CIN) 2-3 and SCC cases were prepared by biopsy. RESULTS:CellDetect® staining exhibited well cell morphology, simultaneously, showed dual color discrimination, the stain targeted cytoplasm in normal cells in green and dysplastic cells or neoplastic cells in purple/red. Both cervical cell smears or both fixation methods in conventional slides did not affect CellDetect® staining diagnosis, especially in tissue biopsies CellDetect® staining exhibited well epithelium layers to benefit the diagnosis of CIN grade. The sensitivity and specificity of CellDetect® staining technology in diagnosing CIN and SCC were 94.34% and 88.73%, respectively. CONCLUSIONS:CellDetect® staining technique provided a dual color discrimination and morphological analysis. It has the potential to become one of the most effective methods for cervical screening and early diagnosis.