Search Results - "Matsumoto, Saya"

Defect Engineering of Earth-Abundant Solar Absorbers BiSI and BiSeI by Ganose, Alex M, Matsumoto, Saya, Buckeridge, John, Scanlon, David O

“…Bismuth-based solar absorbers have recently garnered attention due to their promise as cheap, nontoxic, and efficient photovoltaics. To date, however, most…”
Get full text

Low Eosinophil Percentages as a New Predictive Marker for Infusion Reactions Due to Trastuzumab by Takahashi, Masaya, Takahashi, Katsuyuki, Matsumoto, Saya, Takashima, Tsutomu, Asano, Yuka, Morisaki, Tamami, Kashiwagi, Shinichiro, Noda, Satoru, Onoda, Naoyoshi, Ohira, Masaichi, Nagayama, Katsuya

“…Background/Aim: Infusion reactions (IRs) often occur with trastuzumab. Although premedication by non-steroidal anti-inflammatory drugs can be effective to a…”
Get full text

Multi-gene assay 95- and 155-gene classifiers for prognosis prediction and chemotherapy omission in lymphnode positive luminal-type breast cancer by Matsumoto, Saya, Tsunashima, Ryo, Kitano, Sae, Watanabe, Akira, Kato, Chikage, Morita, Midori, Sakaguchi, Koichi, Győrffy, Balázs, Naoi, Yasuto

“…•95GC/155GC can predict prognosis of lymph node-positive luminal-type breast cancer.•Prognosis analysis was done on lymph node-positive endocrine only luminal…”
Get full text

Improvement of water resistance in printed carbon electrode mixing cellulose nanofiber by Ohtake, Asami, Egawa, Yuya, Matsumoto, Saya, Ifuku, Nene, Kojiro, Kento, Sakaguchi, Koichi

“…Carbon electrodes are widely used for battery and electrolysis due to wide potential window and chemical stability. The carbon electrode made from carbon…”
Get full text

Validation of late recurrence prediction by gene expression profiles and clinicopathological factors in estrogen receptor-positive breast cancer by Kitano, Sae, Tsunashima, Ryo, Kato, Chikage, Watanabe, Akira, Sota, Yoshiaki, Matsumoto, Saya, Morita, Midori, Sakaguchi, Koichi, Naoi, Yasuto

“…Background The mechanism of late recurrence (LR) of estrogen receptor (ER)-positive breast cancer remains unclear, as previous studies have separately…”
Get full text

Investigation of recurrence prediction ability of EndoPredict® using microarray data from fresh frozen tissues in ER-positive, HER2-negative breast cancer and indication expansion of EndoPredict® from microarray data from fresh-frozen to FFPE tissues by Watanabe, Akira, Tsunashima, Ryo, Kato, Chikage, Kitano, Sae, Matsumoto, Saya, Sota, Yoshiaki, Morita, Midori, Sakaguchi, Koichi, Naoi, Yasuto

“…Background EndoPredict ® (EP) is a multigene assay to predict distant recurrence risk in luminal breast cancer. EP measures the expression of 12 genes in…”
Get full text