||Yoko Yasuda, Kazuaki Tokunaga, Tomoaki Koga, Chiyomi Sakamoto, Ilya G. Goldberg, Noriko Saitoh, Mitsuyoshi Nakao, Computational analysis of morphological and molecular features in gastric cancer tissues, Cancer Medicine, DOI: 10.1002/cam4.2885 , 2020.02, Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of morphological information has been highly recognized in clinical diagnosis and therapeutic strategies. In this study, we used a supervised machine learning algorithm wndchrm to classify hematoxylin and eosin (H&E)‐stained images of human gastric cancer tissues. This analysis distinguished between noncancer and cancer tissues with different histological grades. We then classified the H&E‐stained images by expression levels of cancer‐associated nuclear ATF7IP/MCAF1 and membranous PD‐L1 proteins using immunohistochemistry of serial sections. Interestingly, classes with low and high expressions of each protein exhibited significant morphological dissimilarity in H&E images. These results indicated that morphological features in cancer tissues are correlated with expression of specific cancer‐associated proteins, suggesting the usefulness of biomolecular‐based morphological classification..
||Kazuaki Tokunaga, Noriko Saitoh, Ilya G. Goldberg, Chiyomi Sakamoto, Yoko Yasuda, Yoshinori Yoshida, Shinya Yamanaka & Mitsuyoshi Nakao
, Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells, SCIENTIFIC REPORTS, 10.1038/srep06996, 2014.11.
||Ayaka Matsumoto, Chiyomi Sakamoto, Haruka Matsumori, Jun Katahira, Yoko Yasuda, Katsuhide Yoshidome, Masahiko Tsujimoto, Ilya G Goldberg, Nariaki Matsuura, Mitsuyoshi Nakao, Noriko Saitoh, Miki Hieda, Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli, NUCLEUS, 10.1080/19491034.2016.1149664, 7, 68-83, 2016.01.