Sapporo Minami sanjo Hospital

Sapporo, Japan

Sapporo Minami sanjo Hospital

Sapporo, Japan

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Kato T.,Sapporo Minami Sanjo Hospital | Kato T.,Hokkaido University | Daigo Y.,Tokyo Medical University | Aragaki M.,Sapporo Minami Sanjo Hospital | And 4 more authors.
Lung Cancer | Year: 2012

High expression of KIAA0101 (p15 PAF/OEATC-1) which contains a proliferating cell nuclear antigen (PCNA)-binding motif, a key factor in DNA repair and/or apoptosis and cell cycle regulation, has been observed in a variety of human malignancies. The aim of this study was to observe the expression of KIAA0101 in human non-small-cell lung cancer (NSCLC), explore its clinicopathological significance and evaluate KIAA0101 expression as a potential prognostic marker. KIAA0101 transcript was found to be overexpressed in the great majority of lung cancers by semi-quantitative RT-PCR. A total of 357 NSCLCs were analyzed immunohistochemically on tissue microarrays. High-level KIAA0101 expression was observed in 33.9% (121 of 357 cases), and correlated with male gender (P<0.0001), tumor progression (pT status) (P=0.0008), lymph node metastasis (pN status) (P=0.0003), non-adenocarcinoma histological classification (P<0.0001), and smoking history (P<0.0001), but not with patient age or pleural invasion. Patients with tumors displaying high-level KIAA0101 expression showed significantly shorter survival (P<0.0001, log-rank test). Similarly, gender, pT status, pN status, pleural invasion, histological classification, and smoking history were significant prognostic markers in univariate Cox survival analysis. Importantly, high-level KIAA0101 expression was also identified as an independent prognostic factor by multivariate analysis (P=0.0320). These results provide additional information for determining postoperative adjuvant treatment of NSCLC. © 2011 Elsevier Ireland Ltd.


Kato T.,Sapporo Minami Sanjo Hospital | Kato T.,Hokkaido University | Ishikawa K.,Sapporo Minami Sanjo Hospital | Aragaki M.,Sapporo Minami Sanjo Hospital | And 4 more authors.
Lung Cancer | Year: 2012

Angiolymphatic invasion (ALI), representing lymphatic invasion (Ly) and intratumoral vascular invasion (V), is considered to be a useful prognostic factor for pathological stage I non-small cell lung carcinoma (NSCLC). However, the types of tumor for which prognoses are most influenced by ALI positivity have not previously been discussed, nor has the question of whether these findings should influence postoperative therapeutic decision-making after complete resection. The present study investigated 195 cases of stage I NSCLC treated by potentially curative surgical resection of the primary tumor and systematic lymphadenectomy. ALI-positive (ALI(+)) results were found in 31.8% of tumors, and 5.1% exhibited both Ly(+) and V(+). Five-year recurrence-free survival was significantly lower in ALI(+) cases (50.6%) than in ALI(-) cases (85.9%; p<0.0001, log-rank test). In particular, 5-year recurrence-free survival rate was only 10.0% for Ly(+)V(+) cases. ALI(+) correlated with high age, male sex, tumor size (>2.0cm), elevated preoperative serum carcinoembryonic antigen level (≥5.0ng/mL), high maximum standard uptake value (SUVmax) on 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) (≥5.0), pleural invasion, and histological classification of non-adenocarcinoma (ADC). According to histopathological subset analyses, ALI(+) was associated with shorter recurrence-free survival than ALI(-) only among ADC patients (p<0.0001, log-rank test), and not among non-ADC patients (p=0.7710). High preoperative serum CEA level, high SUVmax on FDG-PET, pleural invasion, Ly(+), and V(+) were significant risk factors for recurrence in univariate Cox survival analysis among stage I ADC patients. Importantly, Ly(+) and V(+) were identified as independent risk factors for recurrence by multivariate analysis. Histopathological detection of ALI as a risk factor for recurrence should be considered for inclusion in the staging criteria and as additional information for determining postoperative adjuvant treatment of stage I NSCLC, particularly among ADC patients, but not among non-ADC patients. © 2012 Elsevier Ireland Ltd.


Kato T.,Sapporo Minami Sanjo Hospital | Daigo Y.,Tokyo Medical University | Aragaki M.,Tokyo Medical University | Aragaki M.,Hokkaido University | And 4 more authors.
Lung Cancer | Year: 2011

High-level expression of mitotic arrest defective protein 2 (MAD2), a central component of the spindle assembly checkpoint, has been observed in a variety of human malignancies. Aim of the present study was to observe the expression of MAD2 in human non-small-cell lung cancer (NSCLC) and explore its clinicopathologic significance and evaluate MAD2 expression as a prognostic marker. MAD2 transcript was found to be overexpressed in the great majority of lung cancers by semi-quantitative RT-PCR. A total of 358 NSCLCs were analyzed immunohistochemically on tissue microarrays. High-level MAD2 expression was observed in 26.3% (94 of 358 cases), and correlated with male sex (P=0.0002), tumor progression (pT status) (P=0.0009), visceral or parietal pleural invasion (P=0.0151), non-adenocarcinoma, histological classification (P<0.0001), and smoking history (P=0.0022), but not with patient age or lymph node metastasis (pN status). Patients with tumors displaying high-level MAD2 expression showed significantly shorter survival (P<0.0001, log-rank test). Similarly, gender, pT status, pN status, pleural invasion, histological classification, and smoking history were significant prognostic markers in univariate Cox survival analysis. Importantly, high-level MAD2 expression was also identified as an independent prognostic factor by multivariate analysis (P=0.0076). These results provide additional prognostic information for surgical treatment of NSCLC. © 2011 Elsevier Ireland Ltd.


Kato T.,Sapporo Minami Sanjo Hospital | Kato T.,Hokkaido University | Daigo Y.,University of Tokyo | Aragaki M.,Sapporo Minami Sanjo Hospital | And 3 more authors.
Journal of Surgical Oncology | Year: 2012

Background This study examined the expression of CDC20 in human non-small cell lung cancer (NSCLC), explored its clinicopathological significance, and evaluated as a potential prognostic marker. Methods A total of 362 cases of NSCLCs were analyzed immunohistochemically on tissue microarrays (TMAs). Additionally, the immunoreactivity of mitotic arrest defective protein 2 (MAD2) was also studied. The clinicopathological implications of these molecules were analyzed statistically. Results High-level CDC20 protein expression (CDC20-H) was detected in 71 cases (19.6%). Additionally, CDC20-H was correlated with male sex, pT status, pleural invasion, and non-adenocarcinoma (non-ADC) histology. Significant correlation between CDC20 and MAD2 expression was found. NSCLC patients with tumor exhibiting CDC20-H showed significantly shorter 5-year overall survival (Pa=0.0007). According to subset analyses, CDC20-H was associated with shorter survival than CDC20-L only among ADC patients (Pa=0.0008), and not among squamous cell carcinoma (SCC) patients (Pa=0.5100). Importantly, CDC20-H was also identified as an independent prognostic factor in multivariate analysis (Pa=0.0065). Conclusions CDC20 was a negative prognostic marker with significance in patients with resected NSCLC, particularly those with ADC histology. These results provide additional information for determining postoperative adjuvant treatment. J. Surg. Oncol. 2012; 106:423-430. © 2012 Wiley Periodicals, Inc. Copyright © 2012 Wiley Periodicals, Inc.


PubMed | Sapporo Minami sanjo Hospital, University of Toronto, Chiba University, Nippon Telegraph and Telephone and Hokkaido University
Type: | Journal: Lung cancer (Amsterdam, Netherlands) | Year: 2016

High-level expression of kinesin family member 23 (KIF23), a member of microtubule-dependent molecular motors that transport organelles within cells and move chromosomes during cell division, has been observed in a variety of human malignancies. The aims of the present study were to observe the expression of KIF23 in lung cancer, examine the role of KIF23 in lung cancer cell growth and/or survival by small interfering RNA experiments, and explore its clinicopathologic significance and evaluate KIF23 expression as a prognostic marker.Quantitative reverse transcription-polymerase chain reaction analysis was performed to detect the expression of KIF23 mRNA using metastatic lymph nodes from patients with advanced lung cancer obtained by endobronchial ultrasonography-guided transbronchial needle aspiration (EBUS-TBNA) and primary lung tumors through surgical sample. The role of KIF23 in cancer cell growth was examined by small interfering RNA experiments. A total of 339 lung cancers were analyzed immunohistochemically on tissue microarrays to examine the expression of KIF23 protein and its clinicopathologic significance.KIF23 transcript was found to be overexpressed in the great majority of metastatic lymph nodes from advanced lung cancers and primary lung tumors. Inhibiting KIF23 expression effectively suppressed lung cancer cell growth. High-level KIF23 expression was observed in 67.8% of the 339 cases. Lung adenocarcinoma patients with tumors displaying a high-level of KIF23 expression was also identified as an independent prognostic factor by multivariate analysis (P=0.0064).KIF23 not only provides additional prognostic information for surgical treatment of lung cancer, but may also be a novel therapeutic target for these patients.


Chen B.,Nagoya University | Kitasaka T.,Aichi Institute of Technology | Honma H.,Sapporo Medical University | Takabatake H.,Sapporo Minami Sanjo Hospital | And 3 more authors.
International Journal of Computer Assisted Radiology and Surgery | Year: 2012

Purpose Pulmonary nodules may indicate the early stage of lung cancer, and the progress of lung cancer causes associated changes in the shape and number of pulmonary blood vessels. The automatic segmentation of pulmonary nodules and blood vessels is desirable for chest computer-aided diagnosis (CAD) systems. Since pulmonary nodules and blood vessels are often attached to each other, conventional nodule detection methods usually produce many false positives (FPs) in the blood vessel regions, and blood vessel segmentation methods may incorrectly segment the nodules that are attached to the blood vessels. A method to simultaneously and separately segment the pulmonary nodules and blood vessels was developed and tested. Method A line structure enhancement (LSE) filter and a bloblike structure enhancement (BSE) filter were used to augment initial selection of vessel regions and nodule candidates, respectively. A front surface propagation (FSP) procedure was employed for precise segmentation of blood vessels and nodules. By employing a speed function that becomes fast at the initial vessel regions and slow at the nodule candidates to propagate the front surface, the front surface can be propagated to cover the blood vessel region with suppressed nodules. Hence, the resultant region covered by the front surface indicates pulmonary blood vessels. The lung nodule regions were finally obtained by removing the nodule candidates that are covered by the front surface. Result A test data set was assembled including 20 standard-dose chest CT images obtained from a local database and 20 low-dose chest CT images obtained from lung image database consortium (LIDC). The average extraction rate of the pulmonary blood vessels was about 93%. The average TP rate of nodule detection was 95% with 9.8 FPs/case in standard-dose CT image, and 91.5% with 10.5 FPs/case in low-dose CT image, respectively. Conclusion Pulmonary blood vessels and nodules segmentation method based on local intensity structure analysis and front surface propagation were developed. The method was shown to be feasible for nodule detection and vessel extraction in chest CAD. © 2011 CARS.


Luo X.,Nagoya University | Feuerstein M.,TU Munich | Kitasaka T.,Aichi Institute of Technology | Natori H.,Keiwakai Nishioka Hospital | And 3 more authors.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE | Year: 2011

Image-guided bronchoscopy usually requires to track the bronchoscope camera position and orientation to align the preinterventional 3-D computed tomography (CT) images to the intrainterventional 2-D bronchoscopic video frames. Current state-of-the-art image-based algorithms often fail in bronchoscope tracking due to shortages of information on depth and rotation around the viewing (running) direction of the bronchoscope camera. To address these problems, this paper presents a novel bronchoscope tracking method for bronchoscopic navigation based on a low-cost optical mouse sensor, bronchial structure information, and image registration. We first utilize an optical mouse senor to automatically measure the insertion depth and the rotation of the viewing direction along the bronchoscope. We integrate the outputs of such a 2-D sensor by performing a centerline matching on the basis of bronchial structure information before optimizing the bronchoscope camera motion parameters during image registration. An assessment of our new method is implemented on phantom data. Experimental results illustrate that our proposed method is a promising means for bronchoscope tracking, compared to our previous image-based method, significantly improving the tracking performance. © 2011 SPIE.


Luo X.,Nagoya University | Feuerstein M.,Nagoya University | Feuerstein M.,TU Munich | Deguchi D.,Nagoya University | And 4 more authors.
Medical Image Analysis | Year: 2012

This paper presents a new hybrid camera motion tracking method for bronchoscopic navigation combining SIFT, epipolar geometry analysis, Kalman filtering, and image registration. In a thorough evaluation, we compare it to state-of-the-art tracking methods. Our hybrid algorithm for predicting bronchoscope motion uses SIFT features and epipolar constraints to obtain an estimate for inter-frame pose displacements and Kalman filtering to find an estimate for the magnitude of the motion. We then execute bronchoscope tracking by performing image registration initialized by these estimates. This procedure registers the actual bronchoscopic video and the virtual camera images generated from 3D chest CT data taken prior to bronchoscopic examination for continuous bronchoscopic navigation. A comparative assessment of our new method and the state-of-the-art methods is performed on actual patient data and phantom data. Experimental results from both datasets demonstrate a significant performance boost of navigation using our new method. Our hybrid method is a promising means for bronchoscope tracking, and outperforms other methods based solely on Kalman filtering or image features and image registration. © 2010 Elsevier B.V.


PubMed | Sapporo Minami sanjo Hospital, Kinikyo Chuo Hospital and Hokkaido University
Type: Journal Article | Journal: International journal of oncology | Year: 2016

Malignant pleural mesothelioma (MPM) is an aggressive type of cancer of the thoracic cavity commonly associated with asbestos exposure and a high mortality rate. There is a need for new molecular targets for the development of more effective therapies for MPM. Using quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) and an RNA interference-based screening, we examined the SORORIN gene as potential therapeutic targets for MPM in addition to the PLK1 gene, which is known for kinase of SORORIN. Following invitro investigation of the effects of target silencing on MPM cells, cell cycle analyses were performed. SORORIN expression was analyzed immunohistochemically using a total of 53 MPM samples on tissue microarray. SORORIN was found to be overexpressed in the majority of clinical MPM samples and human MPM cell lines as determined by qRT-PCR. Gene suppression of each SORORIN and PLK1 led to growth inhibition in MPM cell lines. Knockdown of SORORIN showed an increased number of G2M-phase population and a larger nuclear size, suggesting mitotic arrest. High expression of SORORIN (SORORIN-H) was found in 50.9% of all the MPM cases, and there is a tendency towards poorer prognosis for the SORORIN-H group but the difference is not significant. Suppression of SORORIN with PLK1 inhibitor BI 6727 showed a combinational growth suppressive effect on MPM cell growth. Given high-dose PLK1 inhibitor induced drug-related adverse effects in several clinical trials, our results suggest inhibition SORORIN-PLK1 axis may hold promise for the treatment of MPMs.


PubMed | Sapporo Minami sanjo Hospital, Kinikyo Chuo Hospital and Hokkaido University
Type: Journal Article | Journal: International journal of oncology | Year: 2016

Malignant pleural mesothelioma (MPM) is a rare and aggressive form of cancer commonly associated with asbestos exposure that stems from the thoracic mesothelium with high mortality rate. Currently, treatment options for MPM are limited, and new molecular targets for treatments are urgently needed. Using quantitative reverse transcription-polymerase chain reaction (RT-PCR) and an RNA interference-based screening, we screened two kinesin family members as potential therapeutic targets for MPM. Following invitro investigation of the target silencing effects on MPM cells, a total of 53 MPMs were analyzed immunohistochemically with tissue microarray. KIF11 and KIF23 transcripts were found to be overexpressed in the majority of clinical MPM samples as well as human MPM cell lines as determined by quantitative RT-PCR. Gene knockdown in MPM cell lines identified growth inhibition following knockdown of KIF11 and KIF23. High expression of KIF11 (KIF11-H) and KIF23 (KIF23-H) were found in 43.4 and 50.9% of all the MPM cases, respectively. Patients who received curative resection with tumors displaying KIF23-H showed shorter overall survival (P=0.0194). These results provide that inhibition of KIF11 and KIF23 may hold promise for treatment of MPMs, raising the possibility that kinesin-based drug targets may be developed in the future.

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