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BMC Gastroenterology|April 18, 2023
Postoperative liver dysfunction is associated with poor long-term outcomes in patients with colorectal cancer: a retrospective cohort studyShutaro Sumiyoshi, Jun Kiuchi, Yoshiaki Kuriu, et al.
Surgery Today|August 11, 2020
Prognostic impact of the preoperative hemoglobin A1c levels in patients with gastric cancer surgery depends on postoperative complicationsJun Shibamoto, Katsutoshi Shoda, Takeshi Kubota, et al.
Scientific Reports|July 27, 2025
Low levels of tumor suppressor miR-3619 in plasma contribute to malignant outcomes and a target for nucleic acid therapy in esophageal cancerHiroshi Arakawa, Shuhei Komatsu, Takuma Kishimoto, et al.
Cancer Diagnosis & Prognosis|April 11, 2022
Geriatric Nutritional Risk Index Predicts Poor Prognosis of Patients After Curative Surgery for Gastric CancerHirotaka Furuke, Daiki Matsubara, Takeshi Kubota, et al.
Journal of Cancer|September 3, 2021
Clinical impact of postoperative interval until adjuvant chemotherapy following curative gastrectomy for advanced gastric cancerYusuke Takashima, Shuhei Komatsu, Keiji Nishibeppu, et al.
Oncotarget|July 28, 2016
Circulating microRNA profiles in plasma: identification of miR-224 as a novel diagnostic biomarker in hepatocellular carcinoma independent of hepatic functionWataru Okajima, Shuhei Komatsu, Daisuke Ichikawa, et al.
British Journal of Cancer|December 26, 2023
Low blood level of tumour suppressor miR-5193 as a target of immunotherapy to PD-L1 in gastric cancerHajime Kamiya, Shuhei Komatsu, Yusuke Takashima, et al.
Anticancer Research|June 4, 2020
Oncological Safety of Ultrasonically Activated Surgical Devices During Gastric Cancer SurgeryTakeshi Kubota, Katsutoshi Shoda, Soichiro Ogawa, et al.
American Journal of Cancer Research|January 13, 2025
A novel semi-quantitative scoring method for CD8+ tumor-infiltrating lymphocytes based on infiltration sites in gastric cancerYudai Nakabayashi, Jun Kiuchi, Takeshi Kubota, et al.
International Journal of Hematology|May 12, 2026
Personalized multivariable clinical prognostic model for patients with acute myeloid leukemia receiving intensive chemotherapyKengo Katsuki, Takuya Miyazaki, Moka Komaki, et al.
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