Itami, Makiko

Immune evasion through mitochondrial transfer in the tumour microenvironment

Ikeda, H., Kawase, K., Nishi, T., Watanabe, T., Takenaga, K., Inozume, T., Ishino, T., Aki, S., Lin, J., Kawashima, S., et al. (2025) · Nature

Cancer Immunotherapy and BiomarkersMitochondrial Function and Pathology

Cited by 330

Efficient Use of Patient-Derived Organoids as a Preclinical Model for Gynecologic Tumors

Maru, Y., Tanaka, N., Itami, M., & Hippo, Y. (2019) · Gynecologic Oncology

Cancer Cells and Metastasis3D Printing in Biomedical Research

Cited by 162

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer

Iwatate, Y., Hoshino, I., Yokota, H., Ishige, F., Itami, M., Mori, Y., Chiba, S., Arimitsu, H., Yanagibashi, H., Nagase, H., et al. (2020) · British Journal of Cancer

Radiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research

Cited by 101

Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer

Iwatate, Y., Yokota, H., Hoshino, I., Ishige, F., Kuwayama, N., Itami, M., Mori, Y., Chiba, S., Arimitsu, H., Yanagibashi, H., et al. (2022) · International Journal of Oncology

Radiomics and Machine Learning in Medical ImagingPancreatic and Hepatic Oncology Research

Cited by 11