Yoshimasa Tokunaga
Kagawa University
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Featured researches published by Yoshimasa Tokunaga.
European Journal of Cancer | 2015
Yoshimasa Tokunaga; Dage Liu; Jun Nakano; Xia Zhang; Kazuhito Nii; Tetsuhiko Go; Cheng-long Huang; Hiroyasu Yokomise
BACKGROUND Ribonucleotide reductase large subunit (RRM1) is the main enzyme responsible for synthesis of the deoxyribonucleotides used during DNA synthesis. It is also a cellular target for gemcitabine (GEM). Overexpression of RRM1 is reportedly associated with resistance to GEM and the poor prognosis for many types of malignant tumours. Aim of the present study is to establish gene therapy against RRM1-overexpressing tumours. METHOD An adenoviral vector that encoded a short hairpin siRNA targeting the RRM1 gene (Ad-shRRM1) was constructed. Two RRM1-overexpressing non-small cell lung cancer (NSCLC) lines, MAC10 and RERF-LC-MA, were used. Finally, a human tumour xenograft model in nude mice was prepared by subcutaneously implanting tumours derived from RERF-LC-MA cells. RESULTS Ad-shRRM1 effectively downregulated RRM1 mRNA and protein in both types of NSCLC cells and significantly reduced the percentage of viable cells as detected by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay (p<0.005). Caspase 3/7 analysis revealed that transfection with Ad-RRM1 increased the percentage of apoptotic cells in culture containing either type of RRM1-overexpressing cell (p<0.001). Treatment with Ad-shRRM1 exerted a potent antitumour effect against the RRM1-overexpressing RERF-LC-MA xenografts (p<0.05). Furthermore, Ad-shRRM1-mediated inhibition of RRM1 specifically increased sensitivity to gemcitabine of each type of RRM1-overexpressing tumour cell. Combination treatment with Ad-shRRM1 and GEM exerted significantly greater inhibition on cell proliferation than Ad-shRRM1 or GEM treatment alone. CONCLUSION RRM1 appeared to be a promising target for gene therapy, and Ad-shRRM1 had strong antitumour effects, specifically anti-proliferative and pro-apoptotic effects, against NSCLC cells that overexpressed RRM1. Combination therapy with Ad-shRRM1 and GEM may become a new treatment option for patients with NSCLC.
Seminars in Thoracic and Cardiovascular Surgery | 2017
Sung Soo Chang; Taku Okamoto; Yoshimasa Tokunaga; Takayuki Nakano
Performance of thoracoscopic pulmonary segmentectomy for primary lung cancer or pulmonary metastases has recently increased. In patients with emphysema, identification of the intersegmental line is often difficult. For nonpalpable lesions, securing a sufficient surgical margin is more likely to be uncertain. The purpose of this study was to evaluate the efficacy of intraoperative computed tomography (CT) scan during video-assisted thoracoscopic surgery (VATS) pulmonary segmentectomy. This study included 12 patients who underwent intraoperative CT-assisted VATS segmentectomy between January 2015 and August 2016. After dividing the corresponding vessels and bronchi, the intersegmental line was marked by clipping, and intraoperative CT scan was performed under bilateral lung ventilation. The intraoperative CT or 3-dimensional CT reconstruction images were used by the surgeons to confirm the correct anatomical segmental border and to secure a sufficient resection margin. In all patients, the location of the lesions to be resected, the intersegmental border, and the surgical margins could be confirmed while performing VATS segmentectomy. Complete resection was achieved in all patients. Although the pathologic margins tended to be shorter than the surgical margins on intraoperative CT images, there was a strong correlation between these 2 variables (r = 0.963, P < 0.0001). Intraoperative CT scan during VATS segmentectomy was useful for identifying the location of nonpalpable lesions, confirming anatomical intersegmental borders and securing the resection margins. Intraoperative CT navigation could enable a more definitive VATS segmentectomy for nonpalpable lesions.
Journal of Thoracic Disease | 2018
Yoshimasa Tokunaga; Sung Soo Chang; Yusuke Kita; Taku Okamoto
Background Locating small, non-palpable lung tumors during video-assisted thoracoscopic surgery (VATS) is difficult. In this paper, we report a simple method to identify such tumors during VATS, using intraoperative computed tomography (IO-CT). Methods From 2015 to 2017, we performed IO-CT scans for patients who preoperatively seemed to have non-palpable lung tumors. We initially tried to locate these tumors by finger palpation through the thoracoscopic ports. IO-CT scans were performed after marking tumors with metal clips. However, difficult-to-palpate tumors were marked by initially locating the intercostal muscle from preoperative CT. Metal clips were applied just under the intercostal muscle, and IO-CT scans were performed. After locating the tumor in relationship to the marking clips, patients would undergo wedge resections during VATS, using surgical staplers. Results We used this procedure on 21 tumors in 18 patients, including 9 non-palpable tumors and 12 palpable tumors (mean tumor size: 7.3 mm; mean distance from pleura: 6.8 mm). All tumors were identified intraoperatively, and all patients successfully underwent wedge resections during VATS, with no intra-postoperative complications. Conclusion IO-CT scans after tumor marking with metal clips during VATS can accurately locate non-palpable small sized lung tumors. IO-CT scans should be indicated for tumors that are preoperatively considered to be non-palpable.
Molecular and Clinical Oncology | 2014
Kazuhito Nii; Yoshimasa Tokunaga; Dage Liu; Xia Zhang; Jun Nakano; Shinya Ishikawa; Yoshiyuki Kakehi; Reiji Haba; Hiroyasu Yokomise
The Journal of The Japanese Association for Chest Surgery | 2018
Yusuke Kita; Yoshimasa Tokunaga; Taku Okamoto
The Journal of The Japanese Association for Chest Surgery | 2018
Yoshimasa Tokunaga; Taku Okamoto; Yusuke Kita
The Journal of The Japanese Association for Chest Surgery | 2018
Yoshimasa Tokunaga; Taku Okamoto; Yusuke Kita
Journal of Clinical Oncology | 2017
Nariyasu Nakashima; Dage Liu; Takayuki Nakano; Yusuke Kita; Xia Zhang; Yoshimasa Tokunaga; Shintaro Tarumi; Kazuhito Nii; Tetsuhiko Go; Yoshiyuki Kakehi; Hiroyasu Yokomise
Journal of Clinical Oncology | 2017
Takayuki Nakano; Dage Liu; Yusuke Kita; Yoshimasa Tokunaga; Kazuhito Nii; Nariyasu Nakashima; Shintaro Tarumi; Xia Zhang; Tetsuhiko Go; Yoshiyuki Kakehi; Hiroyasu Yokomise
Journal of Clinical Oncology | 2017
Kazuhito Nii; Dage Liu; Yoshimasa Tokunaga; Xia Zhang; Shinya Ishikawa; Reiji Haba; Yoshiyuki Kakehi; Hiroyasu Yokomise