Kengo Nagashima |
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Chiba University
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Chiba University Hospital Clinical Research Center (CCRC)
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Publications (11) View all
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Article: Lack of association of proteinuria and clinical outcome in patients treated with bevacizumab for metastatic colorectal cancer.
Satoru Iwasa, Takako Eguchi Nakajima, Kengo Nagashima, Yoshitaka Honma, Ken Kato, Tetsuya Hamaguchi, Yasuhide Yamada, Yasuhiro Shimada[show abstract] [hide abstract]
ABSTRACT: Although bevacizumab-related hypertension has been reported as a predictive marker of therapy efficacy, an association between proteinuria and efficacy has not been reported. Eighty-two consecutive patients with metastatic colorectal cancer treated with bevacizumab as first-line treatment between July 2007 and April 2009 were examined. Seventy-one patients were included in the analysis set. Proteinuria occurred in 29 patients: Grade 1 in 15 patients and grade 2 in 14 patients; no grade 3 or higher proteinuria was observed. The response rate did not increase with the severity of proteinuria (p=0.307). The median progression-free survival was 17.8 months in cases with grade 2 proteinuria, 16.0 months in those with grade 1 proteinuria, and 10.4 months in those with grade 0 proteinuria (p=0.030). In multivariate analysis with a time-dependent adjustment, there was no correlation between severity of proteinuria and survival. Bevacizumab-related proteinuria was not a predictive marker for patients with colorectal cancer treated with first-line bevacizumab.Anticancer research 01/2013; 33(1):309-16. · 1.73 Impact Factor -
Article: A distinct regulatory role of Th17 cytokines IL-17A and IL-17F in chemokine secretion from lung microvascular endothelial cells.
Hitomi Fujie, Kaijun Niu, Michiru Ohba, Yoshihisa Tomioka, Haruki Kitazawa, Kengo Nagashima, Takashi Ohrui, Muneo Numasaki[show abstract] [hide abstract]
ABSTRACT: Th17 cytokines IL-17A and IL-17F play a critical role in the activation and recruitment of neutrophils at airway inflammation mainly through the induction of CXC chemokines in the lungs. Vascular endothelial cells belong to the category of major CXC chemokine-producing cells. However, until now, the precise role of Th17 cytokines in CXC chemokine secretion in lung microvascular endothelial cells (LMVECs) has not been fully elucidated. In this study, we examined the biological effects of Th17 cytokines IL-17A and IL-17F on CXCL1, CXCL5, and CXCL8 release in LMVECs. Both IL-17 receptor A (IL-17RA) and IL-17RC are expressed on the surface of LMVECs. In contrast to IL-17F, IL-17A significantly upregulated CXCL1 mRNA expression and protein release, whereas both IL-17A and IL-17F did not have the ability to induce CXCL5 and CXCL8 secretion in LMVECs. IL-17A and IL-17F displayed positive regulatory effects on IL-1β-induced CXCL1, CXCL5, and CXCL8 secretion. On the other hand, IL-17A enhanced the upregulating effect of TNF-α on CXCL1, CXCL5, and CXCL8 release, whereas IL-17F had a negative regulatory effect on TNF-α-mediated secretion. Th2 cytokines IL-4 and IL-13 showed an inhibitory effect on IL-1β plus IL-17A-induced CXCL1, CXCL5, and CXCL8 secretion, but displayed a positive regulatory effect on TNF-α plus IL-17A-induced secretion. These results provide evidence that Th17 cytokines IL-17A and IL-17F have a distinct regulatory role in CXCL1, CXCL5, and CXCL8 expression in LMVECs stimulated either with IL-1β or with TNF-α. Our findings also suggest that CXC chemokine secretion in LMVECs may be complicatedly regulated by Th17 cytokines, Th2 cytokines, and macrophage-associated cytokines in pathological conditions such as bronchial asthma.Inflammation 01/2012; 35(3):1119-31. · 1.75 Impact Factor -
Article: Study designs and statistical analyses for biomarker research.
Masahiko Gosho, Kengo Nagashima, Yasunori Sato[show abstract] [hide abstract]
ABSTRACT: Biomarkers are becoming increasingly important for streamlining drug discovery and development. In addition, biomarkers are widely expected to be used as a tool for disease diagnosis, personalized medication, and surrogate endpoints in clinical research. In this paper, we highlight several important aspects related to study design and statistical analysis for clinical research incorporating biomarkers. We describe the typical and current study designs for exploring, detecting, and utilizing biomarkers. Furthermore, we introduce statistical issues such as confounding and multiplicity for statistical tests in biomarker research.Sensors 01/2012; 12(7):8966-86. · 1.74 Impact Factor -
Article: A multicenter phase II study of the stop-and-go modified FOLFOX6 with bevacizumab for first-line treatment of patients with metastatic colorectal cancer.
Natsuko T Okita, Taito Esaki, Eishi Baba, Daisuke Sakai, Shinya Tokunaga, Hiroya Takiuchi, Nobuyuki Mizunuma, Kengo Nagashima, Ken Kato[show abstract] [hide abstract]
ABSTRACT: Currently, no prospective data exists to support a "stop-and-go" modified FOLFOX6 regimen with bevacizumab in metastatic colorectal cancer (mCRC) patients. This study aimed to evaluate the efficacy and safety of this regimen in first-line mCRC patients. Eligible patients (age ≥20 years) had previously untreated mCRC; Eastern Cooperative Oncology Group performance status of 0-2; and adequate hematologic, hepatic, and renal function. The modified FOLFOX6 regimen and bevacizumab (5 mg/kg) was administered intravenously every 2 weeks. After 8 cycles, patients received maintenance therapy with simplified LV5FU2 and bevacizumab until completion of 8 cycles or disease progression. After maintenance therapy, patients received another 8 cycles of modified FOLFOX6 with bevacizumab until completion of 8 cycles or disease progression. We recruited 50 patients between August 2007 and January 2009. The overall response rate was 48% (80% confidence interval [CI]; 38.2-58) with outcomes as follows: complete response, n = 1; partial response, n = 23; stable disease, n = 21; progression, n = 1; and not evaluated, n = 4. Median time to treatment failure was 7.7 months (80% CI: 6.2-8.0), and median progression-free survival was 12.8 months (80% CI: 10.8-14). Grade 3/4 toxicities included neutropenia (40%), nausea (4%), diarrhea (14%), thrombosis (4%), and hypertension (4%) et al. Grade 1, 2, or 3 peripheral neuropathy was reported in 38%, 40%, and 10% of patients, respectively. The stop-and-go modified FOLFOX6 and bevacizumab regimen is effective and well tolerated as first-line chemotherapy for mCRC patients.Investigational New Drugs 12/2011; 30(5):2026-31. · 3.36 Impact Factor -
Article: Nucleostemin and TWIST as predictive markers for recurrence after neoadjuvant chemotherapy for esophageal carcinoma.
Takako E Nakajima, Hiroshi Yoshida, Naoko Okamoto, Kengo Nagashima, Hirokazu Taniguchi, Yasuhide Yamada, Tadakazu Shimoda, Kenkichi Masutomi[show abstract] [hide abstract]
ABSTRACT: We recently demonstrated that overexpression of the nucleolar GTP-binding protein nucleostemin drives the fraction of genetically-defined tumor cells that exhibit markers and tumorigenic properties of tumor initiating cells. More specifically, cells that constitutively express elevated levels of nucleostemin exhibit increased TWIST expression; expression of genes that induced pluripotent stem cells; enhanced radioresistance; tumor formation, even when small numbers of cells are implanted; and an increased propensity to metastasize. An immunohistochemical analysis of cancer stem cell markers, such as nucleostemin and TWIST has not been conducted in surgically-resected esophageal squamous cell carcinomas after neoadjuvant chemotherapy. In the present study, we examined the expression of CD133, CD44, nucleostemin, guanine nucleotide-binding protein-like 3-like, and TWIST by immunohistochemistry in a series of 54 surgically-resected specimens of esophageal squamous cell carcinomas after neoadjuvant chemotherapy. We identified that high nucleostemin proportion, TWIST intensity, and advanced pathological N stage were significantly correlated with poor relapse-free survival. Together, these observations imply nucleostemin and TWIST as the predictive markers for postoperative recurrence.Cancer Science 11/2011; 103(2):233-8. · 3.33 Impact Factor