Koji Arihiro1, Miyo Oda2, Masahiro Ohara3, Takayuki Kadoya4, Akihiko Osaki5, Takashi Nishisaka6, Noriyuki Shiroma2, Yoshie Kobayashi2,4. 1. Department of Anatomical Pathology, Hiroshima University Hospital, Hiroshima arihiro@hiroshima-u.ac.jp. 2. Department of Anatomical Pathology, Hiroshima University Hospital, Hiroshima. 3. Department of Breast Surgery, Hiroshima Prefectural Hospital, Hiroshima. 4. Department of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima. 5. Department of Breast Oncology, International Medical Center, Saitama Medical University, Hidaka. 6. Department of Anatomical Pathology, Hiroshima Prefectural Hospital, Hiroshima, Japan.
Abstract
OBJECTIVES: To compare the Ki-67 labeling index value obtained through immunohistochemistry analysis by human examiners to that obtained from computer-assisted image analysis, and to establish a cut-off value for Ki-67 labeling index for each method in luminal B breast carcinoma. METHODS: Immunohistochemistry analysis for Ki-67 was performed on the formalin-fixed, paraffin-embedded tissue samples from 403 patients with primary luminal breast cancers. Whole slide images were obtained using the NanoZoomer (Hamamatsu Photonics, Hamamatsu, Japan) and thoroughly analyzed using the Definiens Tissue Studio version 1.1 (Definiens AG, Munich, Germany) to detect the percentage of positively-stained nuclei of carcinoma cells. RESULTS: Although a significant correlation was found between the Ki-67 labeling index obtained by manual assessment and computer-assisted image analysis (Spearman rank correlation coefficient, P < 0.01), the Ki-67 labeling index value obtained by manual assessment was significantly higher than that obtained by computer-assisted image analysis (Wilcoxon signed rank test, P < 0.0001). Disease-free survival was significantly lower in 403 patients with tumors having high Ki-67 labeling index values determined by automated analysis (cut-off value: 11.5%; P < 0.00001) and visual counting (cut-off value: 28.5%; P < 0.00001). Disease-free survival was also significantly lower in 288 patients who received adjuvant endocrine therapy alone having high Ki-67 labeling index values determined by automated analysis (cut-off value: 11.5%; P < 0.0001) and visual counting (cut-off value: 19.7%, P < 0. 0001). CONCLUSIONS: The Ki-67 labeling index values determined by automated analysis and visual counting could equally predict disease-free survival in patients with luminal B breast carcinoma, including those who received endocrine therapy.
OBJECTIVES: To compare the Ki-67 labeling index value obtained through immunohistochemistry analysis by human examiners to that obtained from computer-assisted image analysis, and to establish a cut-off value for Ki-67 labeling index for each method in luminal B breast carcinoma. METHODS: Immunohistochemistry analysis for Ki-67 was performed on the formalin-fixed, paraffin-embedded tissue samples from 403 patients with primary luminal breast cancers. Whole slide images were obtained using the NanoZoomer (Hamamatsu Photonics, Hamamatsu, Japan) and thoroughly analyzed using the Definiens Tissue Studio version 1.1 (Definiens AG, Munich, Germany) to detect the percentage of positively-stained nuclei of carcinoma cells. RESULTS: Although a significant correlation was found between the Ki-67 labeling index obtained by manual assessment and computer-assisted image analysis (Spearman rank correlation coefficient, P < 0.01), the Ki-67 labeling index value obtained by manual assessment was significantly higher than that obtained by computer-assisted image analysis (Wilcoxon signed rank test, P < 0.0001). Disease-free survival was significantly lower in 403 patients with tumors having high Ki-67 labeling index values determined by automated analysis (cut-off value: 11.5%; P < 0.00001) and visual counting (cut-off value: 28.5%; P < 0.00001). Disease-free survival was also significantly lower in 288 patients who received adjuvant endocrine therapy alone having high Ki-67 labeling index values determined by automated analysis (cut-off value: 11.5%; P < 0.0001) and visual counting (cut-off value: 19.7%, P < 0. 0001). CONCLUSIONS: The Ki-67 labeling index values determined by automated analysis and visual counting could equally predict disease-free survival in patients with luminal B breast carcinoma, including those who received endocrine therapy.
Authors: Muhammad Khalid Khan Niazi; Caglar Senaras; Michael Pennell; Vidya Arole; Gary Tozbikian; Metin N Gurcan Journal: BMC Cancer Date: 2018-09-03 Impact factor: 4.430
Authors: Timothy Kwang Yong Tay; Aye Aye Thike; Nirmala Pathmanathan; Ana Richelia Jara-Lazaro; Jabed Iqbal; Adeline Shi Hui Sng; Heng Seow Ye; Jeffrey Chun Tatt Lim; Valerie Cui Yun Koh; Jane Sie Yong Tan; Joe Poh Sheng Yeong; Zi Long Chow; Hui Hua Li; Chee Leong Cheng; Puay Hoon Tan Journal: Oncotarget Date: 2018-02-05