Cheng-long Huang

Bio: Cheng-long Huang is an academic researcher from Kyoto University. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 35, co-authored 157 publications receiving 3842 citations. Previous affiliations of Cheng-long Huang include Kagawa University.

Prognostic significance of angiogenesis in human pancreatic cancer.

Abstract: To evaluate whether angiogenic factors are of clinical relevance to actual human pancreatic cancers, we studied the intratumoral microvessel density (IMD), and PD-ECGF, VEGF protein expression in 40 pancreatic cancers using immunohistochemistry. We also investigated PD-ECGF and VEGF gene expression using reverse transcriptase-PCR (RT-PCR). Of the 40 pancreatic cancers studied, 30 carcinomas (75.0%) were evaluated to be PD-ECGF-positive and 10 carcinomas (25.0%) were determined to be PD-ECGF-negative. In contrast, 27 carcinomas (67.5%) were evaluated to be VEGF-positive, whereas 13 carcinomas (32.5%) were VEGF-negative. VEGF gene expression was moderately associated with an increase in the IMD (r2 = 0.181, P = 0.006), but no significant relationship was found between PD-ECGF gene expression and the IMD (r2 = 0.093, P = 0.059). However, tumours with positive expression for both PD-ECGF and VEGF had a higher IMD (P = 0.027). The results of the immunohistochemistry agreed well with the results of the quantitative RT-PCR. The median survival time of the hypervascular group was significantly shorter than that of the hypovascular group (P < 0.0001). In comparing the survival according to PD-ECGF and VEGF gene expression, the median survival time of the patients with positive PD-ECGF expression was significantly shorter than those with negative PD-ECGF expression (P = 0.040). Furthermore, the median survival time of the patients with positive VEGF expression was significantly shorter than those with negative VEGF expression (P = 0.048). However, the Cox multivariate analysis indicated that the IMD and VEGF expression were independent prognostic factors of the various clinicopathologic variables in pancreatic cancer patients (P = 0.0021 and P = 0.0443, respectively).

Correlation of KAI1/CD82 Gene Expression with Good Prognosis in Patients with Non-Small Cell Lung Cancer

Abstract: As part of our evaluation of members of the transmembrane 4 super-family as possible prognostic predictors, we performed a retrospective study on the expression of the recently identified KAI1 gene by tumors of the lung. This gene, which is identical to CD82, suppresses tumor metastasis of prostate cancer, and its decreased expression may be involved in malignant progression. We used reverse transcription-PCR to analyze tumor tissues from 151 lung cancer patients; 74 tumors were stage I, 17 were stage II, and 60 were stage III. Our results indicate that while 35 patients had tumors in which the KAI1/CD82 gene was conserved (positive), 116 patients had tumors with reduced gene expression (negative). The overall survival rate of patients with KAI1/CD82-positive tumors was significantly higher than that of patients with KAI1/CD82-negative tumors (77.4% versus 38.5%; P=0.002). Furthermore, the overall survival rate of patients with KAI1/CD82-positive adenocarcinoma was also much higher than that of individuals whose adenocarcinoma had reduced KAI1/CD82 expression (73.4% versus 27.1%;P=0.009). Multivariate analysis with the Cox regression model indicated that KAII/CD82 positivity correlated best with the overall survival rate, except for lymph node status. Our data suggest that high KAII/CD82 gene expression by tumors of the lung may be associated with a good prognosis. These findings complement our earlier studies on MRP-1/CD9, another member of the transmembrane 4 superfamily, whose reduced expression in non-small cell lung cancer appears to be a factor of poor prognosis. This set of observations suggests that assessment of the expression status of KAI1/CD82 and MRP-1/CD9 by tumors may provide prognostic information on the clinical behavior of lung cancer.

Wnt5a Expression Is Associated With the Tumor Proliferation and the Stromal Vascular Endothelial Growth Factor—An Expression in Non–Small-Cell Lung Cancer

Abstract: Purpose The Wnt gene family encodes the multifunctional signaling glycoproteins. We performed the present study to investigate the clinical significance of Wnt5a expression in non–small-cell lung cancer (NSCLC). Patients and Methods One hundred twenty-three patients with NSCLC who had undergone resection were investigated. Real-time quantitative reverse transcriptase polymerase chain reaction was performed to evaluate the Wnt5a gene expression. Immunohistochemistry was performed to investigate the Wnt5a protein expression, the Ki-67 proliferation index, tumor angiogenesis, and the expression of beta-catenin and vascular endothelial growth factor-A (VEGF-A). Results Wnt5a gene expression in squamous cell carcinoma was significantly higher than that in adenocarcinoma (P < .0001). There was a significant correlation between the normalized Wnt5a gene expression ratio and the intratumoral Wnt5a protein expression (r = 0.729; P < .0001). The intratumoral Wnt5a expression was significantly correlated with the Ki...

Motility related protein 1 (MRP-1/CD9) expression: inverse correlation with metastases in breast cancer.

Abstract: In our previous studies we showed that motility related protein 1 (MRP-1) is a glycoprotein recognized by mAb M31-15, and that the sequence of MRP-1 is identical to that of CD9, a WBC differentiation antigen. Transfection of MRP-1/CD9 cDNA into cultured nonhematopoietic cells suppresses cell motility. The extent of suppression is directly related to the level of MRP-1/CD9 expression. In addition, the metastatic potential of MRP-1/CD9-transfected melanoma BL6 cells is lower than that of control BL6 cells. To determine whether these experimental results are of relevance with respect to actual human tumors, we investigated MRP-1/CD9 expression in 143 invasive ductal carcinomas of the breast. Of 97 patients with MRP-1/CD9-positive tumors, only 36 (37.1%) had lymph node involvement. In contrast, 21 of 39 (53.8%) patients whose tumors had reduced MRP-1/CD9 immunoreactivity and 5 of 7 patients whose primary carcinomas were not stained by the anti-MRP-1/CD9 MAb had lymph node metastases. The comparison of protein expression by 62 primary tumors and their respective metastatic lymph nodes revealed that in almost 50% of the cases, the latter had lower MRP-1/CD9 levels than the former. Moreover, reverse transcriptase-PCR-based analysis disclosed that MRP-1/CD9 gene expression in the metastatic lymph nodes of 17 of 32 patients was strikingly lower than in the primary invasive ductal carcinomas. Gene overexpression was not observed in any of the samples studied. Our data suggest that low MRP-1/CD9 expression may be associated with the metastatic potential of certain human tumors.

The tumour-stromal interaction between intratumoral c-Met and stromal hepatocyte growth factor associated with tumour growth and prognosis in non-small-cell lung cancer patients.

Abstract: Immunohistochemical analyses of the effects of hepatocyte growth factor (HGF) and c-Met expression on tumour growth and angiogenesis were performed on 88 patients with non-small-cell lung cancers (NSCLCs). In all, 22 carcinomas (25.0%) were intratumoral HGF-positive, 14 carcinomas (15.9%) were stromal HGF-positive, and 36 carcinomas (40.9%) were intratumoral c-Met-positive. None of the carcinomas were stromal c-Met-positive. Examination of tumour growth revealed that the frequency of tumours with a high Ki-67 index was significantly greater for stromal HGF-positive tumours than for stromal HGF-negative tumours (P=0.0197). The frequency of tumours with a high Ki-67 index was also significantly greater for intratumoral c-Met-positive tumours than for intratumoral c-Met-negative tumours (P=0.0301). However, there was no significant difference in tumour vascularity with relation to intratumoral HGF status, stromal HGF status, and intratumoral c-Met status. The survival rate of patients with intratumoral c-Met-positive tumours was significantly lower than for patients with c-Met-negative tumours (P=0.0095). Furthermore, the survival rate of patients with both intratumoral c-Met-positive and stromal HGF-positive tumours was significantly lower than for patients with either positive tumours, and that of patients with both negative tumours (P=0.0183 and P=0.0011, respectively). A univariate analysis revealed that intratumoral c-Met expression was a significant prognostic factor of NSCLC patients (relative risk=2.642, P=0.0029). The present study demonstrates that tumour-stromal interaction between tumour cell-derived c-Met and stromal cell-derived HGF affects tumour growth and the prognosis of NSCLC patients.

Phase III Study Comparing Cisplatin Plus Gemcitabine With Cisplatin Plus Pemetrexed in Chemotherapy-Naive Patients With Advanced-Stage Non–Small-Cell Lung Cancer

Abstract: Purpose Cisplatin plus gemcitabine is a standard regimen for first-line treatment of advanced non–small-cell lung cancer (NSCLC). Phase II studies of pemetrexed plus platinum compounds have also shown activity in this setting. Patients and Methods This noninferiority, phase III, randomized study compared the overall survival between treatment arms using a fixed margin method (hazard ratio [HR] < 1.176) in 1,725 chemotherapy-naive patients with stage IIIB or IV NSCLC and an Eastern Cooperative Oncology Group performance status of 0 to 1. Patients received cisplatin 75 mg/m2 on day 1 and gemcitabine 1,250 mg/m2 on days 1 and 8 (n = 863) or cisplatin 75 mg/m2 and pemetrexed 500 mg/m2 on day 1 (n = 862) every 3 weeks for up to six cycles. Results Overall survival for cisplatin/pemetrexed was noninferior to cisplatin/gemcitabine (median survival, 10.3 v 10.3 months, respectively; HR = 0.94; 95% CI, 0.84 to 1.05). Overall survival was statistically superior for cisplatin/pemetrexed versus cisplatin/gemcitabine ...

Role of the Vascular Endothelial Growth Factor Pathway in Tumor Growth and Angiogenesis

Abstract: New blood vessel formation (angiogenesis) is a fundamental event in the process of tumor growth and metastatic dissemination. Hence, the molecular basis of tumor angiogenesis has been of keen interest in the field of cancer research. The vascular endothelial growth factor (VEGF) pathway is well established as one of the key regulators of this process. The VEGF/ VEGF-receptor axis is composed of multiple ligands and receptors with overlapping and distinct ligand-receptor binding specificities, cell-type expression, and function. Activation of the VEGF-receptor pathway triggers a network of signaling processes that promote endothelial cell growth, migration, and survival from pre-existing vasculature. In addition, VEGF mediates vessel permeability, and has been associated with malignant effusions. More recently, an important role for VEGF has emerged in mobilization of endothelial progenitor cells from the bone marrow to distant sites of neovascularization. The well-established role of VEGF in promoting tumor angiogenesis and the pathogenesis of human cancers has led to the rational design and development of agents that selectively target this pathway. Studies with various anti-VEGF/VEGF-receptor therapies have shown that these agents can potently inhibit angiogenesis and tumor growth in preclinical models. Recently, an anti-VEGF antibody (bevacizumab), when used in combination with chemotherapy, was shown to significantly improve survival and response rates in patients with metastatic colorectal cancer and thus, validate VEGF pathway inhibitors as an important new treatment modality in cancer therapy.

Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer

Abstract: In the last decade, optimized treatment for non-small cell lung cancer had lead to improved prognosis, but the overall survival is still very short. To further understand the molecular basis of the disease we have to identify biomarkers related to survival. Here we present the development of an online tool suitable for the real-time meta-analysis of published lung cancer microarray datasets to identify biomarkers related to survival. We searched the caBIG, GEO and TCGA repositories to identify samples with published gene expression data and survival information. Univariate and multivariate Cox regression analysis, Kaplan-Meier survival plot with hazard ratio and logrank P value are calculated and plotted in R. The complete analysis tool can be accessed online at: www.kmplot.com/lung. All together 1,715 samples of ten independent datasets were integrated into the system. As a demonstration, we used the tool to validate 21 previously published survival associated biomarkers. Of these, survival was best predicted by CDK1 (p<1E-16), CD24 (p<1E-16) and CADM1 (p = 7E-12) in adenocarcinomas and by CCNE1 (p = 2.3E-09) and VEGF (p = 3.3E-10) in all NSCLC patients. Additional genes significantly correlated to survival include RAD51, CDKN2A, OPN, EZH2, ANXA3, ADAM28 and ERCC1. In summary, we established an integrated database and an online tool capable of uni- and multivariate analysis for in silico validation of new biomarker candidates in non-small cell lung cancer.