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Featured researches published by Fengwei Tan.


Gut | 2014

LncRNA profile study reveals a three-lncRNA signature associated with the survival of patients with oesophageal squamous cell carcinoma

Jiagen Li; Zhaoli Chen; Liqing Tian; Chengcheng Zhou; Max Yifan He; Yibo Gao; Suya Wang; Fang Zhou; Susheng Shi; Xiaoli Feng; Nan Sun; Ziyuan Liu; Geir Skogerboe; Jingsi Dong; Ran Yao; Yuda Zhao; Jian Sun; Baihua Zhang; Yue Yu; Xuejiao Shi; Mei Luo; Kang Shao; Ning Li; Bin Qiu; Fengwei Tan; Runsheng Chen; Jie He

Background Oesophageal cancer is one of the most deadly forms of cancer worldwide. Long non-coding RNAs (lncRNAs) are often found to have important regulatory roles. Objective To assess the lncRNA expression profile of oesophageal squamous cell carcinoma (OSCC) and identify prognosis-related lncRNAs. Method LncRNA expression profiles were studied by microarray in paired tumour and normal tissues from 119 patients with OSCC and validated by qRT-PCR. The 119 patients were divided randomly into training (n=60) and test (n=59) groups. A prognostic signature was developed from the training group using a random Forest supervised classification algorithm and a nearest shrunken centroid algorithm, then validated in a test group and further, in an independent cohort (n=60). The independence of the signature in survival prediction was evaluated by multivariable Cox regression analysis. Results LncRNAs showed significantly altered expression in OSCC tissues. From the training group, we identified a three-lncRNA signature (including the lncRNAs ENST00000435885.1, XLOC_013014 and ENST00000547963.1) which classified the patients into two groups with significantly different overall survival (median survival 19.2 months vs >60 months, p<0.0001). The signature was applied to the test group (median survival 21.5 months vs >60 months, p=0.0030) and independent cohort (median survival 25.8 months vs >48 months, p=0.0187) and showed similar prognostic values in both. Multivariable Cox regression analysis showed that the signature was an independent prognostic factor for patients with OSCC. Stratified analysis suggested that the signature was prognostic within clinical stages. Conclusions Our results suggest that the three-lncRNA signature is a new biomarker for the prognosis of patients with OSCC, enabling more accurate prediction of survival.


Journal of Biological Chemistry | 2011

microRNA-92a Promotes Lymph Node Metastasis of Human Esophageal Squamous Cell Carcinoma via E-Cadherin

Zhaoli Chen; Xiaohong Zhao; Jiwen Wang; Bao-zhong Li; Zhen Wang; Jian Sun; Fengwei Tan; Dapeng Ding; Xiaohui Xu; Fang Zhou; Xiaogang Tan; Jie Hang; Susheng Shi; Xiaoli Feng; Jie He

microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and play important roles in tumor initiation and progression. Recently, we examined the global miRNA expression profile of esophageal squamous cell carcinoma (ESCC) and demonstrated that miR-92a was highly expressed in tumor tissues. In this study, we found that the up-regulation of miR-92a was significantly correlated with the status of lymph node metastasis and TNM stage in 107 ESCC patients. Moreover, the up-regulation of miR-92a was associated with poor survival of ESCC patients and might be used as an independent prognostic factor. Next, we investigated the role and mechanism of miR-92a in ESCC cells, and found that miR-92a modulated the migration and invasion but not apoptosis and proliferation of ESCC cells in vitro. We further demonstrated that miR-92a directly targeted the CDH1 3′-UTR and repressed the expression of CDH1, a tumor metastasis suppressor. In addition, restoring of miR-92a-resistant CDH1 expression in miR-92a-overexpression cells recovered the pro-metastasis activity of miR-92a. Taken together, we demonstrated that miR-92a promotes ESCC cell migration and invasion at least partially via suppression of CDH1 expression, and patients with up-regulated miR-92a are prone to lymph node metastasis and thus have poor prognosis.


Cancer Biology & Therapy | 2011

DNA hypermethylation of microRNA-34b/c has prognostic value for stage I non-small cell lung cancer

Zhen Wang; Zhaoli Chen; Yushun Gao; Ning Li; Baozhong Li; Fengwei Tan; Xiaogang Tan; Ning Lu; Yuntian Sun; Jian Sun; Nan Sun; Jie He

Lung cancer is the leading cause of cancer-related death in the world and approximately 30–40% of patients with stage Ⅰ non-small cell lung cancer (NSCLC) die of recurrent disease. miRNA expression profiles can be diagnostic and prognostic markers of lung cancer. Recently, miR-34 family has been shown to be part of the p53 pathway which is frequently involved in lung cancer, and the expression of miR-34 has been reported to be regulated by DNA methylation. In present study, we investigated the correlation between DNA methylation status of miR-34 family and recurrence of stage Ⅰ NSCLC patients. miR-34a and miR-34b/c promoter methylation status were determined by nested methylation-specific PCR in FFPE tumor tissues from 161 patients of stage Ⅰ NSCLC. Furthermore, mature miR-34b and miR-34c expression were analyzed by qRT-PCR in the same panel tissues. Our results revealed that aberrant DNA methylation of miR-34b/c was correlated with a high probability of recurrence (p=0.026) and associated with poor overall survival (p=0.010) and disease-free survival (p=0.017). No significant association was found for miR-34a methylation. Multivariate analysis showed that promoter hypermethylation of miR-34b/c was an independent prognostic factor of stage Ⅰ NSCLC. Moreover, no significant association between mature miR-34b and miR-34c expression and DNA methylation status was found. In conclusion, we have identified promoter hypermethylation of miR-34b/c as a relatively common event in NSCLC and might be a potential prognostic factor for stage Ⅰ NSCLC.


Medical Oncology | 2013

MicroRNA-99a/100 promotes apoptosis by targeting mTOR in human esophageal squamous cell carcinoma

Jian Sun; Zhaoli Chen; Xiaogang Tan; Fang Zhou; Fengwei Tan; Yibo Gao; Nan Sun; Xiaohui Xu; Kang Shao; Jie He

Recently, microRNA-99 family members, such as miR-99a/b and miR-100, have been reported to exhibit abnormal expression in various malignant tumors, but their functions in carcinomas are controversial. In this study, we focused on miR-99a and miR-100, which were determined to be universally downregulated in esophageal squamous cell carcinoma, and investigated their functions and potential mechanisms of action. The downregulation of miR-99a/100 was validated by qRT-PCR in 101 ESCC surgical tissue samples and in 3 ESCC cell lines. The overexpression of miR-99a and miR-100 via the transient transfection of the corresponding precursor molecules inhibited cell proliferation by inducing apoptosis in the ESCC cell lines. To investigate the molecular mechanism of miR-99a/100-induced apoptosis, luciferase reporter assays and Western blots were performed to demonstrate that the overexpression of miR-99a/100 suppressed the expression of mTOR by directly targeting its 3′UTR in a post-transcriptional manner. Clinically, the decreased expression of miR-99a/100 was associated with worse overall survival in ESCC patients. In conclusion, these results indicated that miR-99a and miR-100 inhibited cell proliferation by suppressing mTOR in ESCC cell lines, and therefore, the miR-99a/100-mTOR signaling pathway is a potential therapeutic target for inducing apoptosis to combat ESCC.


Molecular & Cellular Proteomics | 2012

Identification of Isocitrate Dehydrogenase 1 as a Potential Diagnostic and Prognostic Biomarker for Non-small Cell Lung Cancer by Proteomic Analysis

Fengwei Tan; Ying Jiang; Nan Sun; Zhaoli Chen; Yongzhuang Lv; Kang Shao; Ning Li; Bin Qiu; Yibo Gao; Baozhong Li; Xiaogang Tan; Fang Zhou; Zhen Wang; Dapeng Ding; Jiwen Wang; Jian Sun; Jie Hang; Susheng Shi; Xiaoli Feng; Fuchu He; Jie He

Lung cancer is the leading cause of cancer-related death in the world. To explore tumor biomarkers for clinical application, two-dimensional fluorescence difference gel electrophoresis and subsequent MALDI-TOF/TOF mass spectrometry were performed to identify proteins differentially expressed in 12 pairs of lung squamous cell tumors and their corresponding normal tissues. A total of 28 nonredundant proteins were identified with significant alteration in lung tumors. The up-regulation of isocitrate dehydrogenase 1 (IDH1), superoxide dismutase 2, 14-3-3ε, and receptor of activated protein kinase C1 and the down-regulation of peroxiredoxin 2 in tumors were validated by RT-PCR and Western blot analysis in independent 15 pairs of samples. Increased IDH1 expression was further verified by the immunohistochemical study in extended 73 squamous cell carcinoma and 64 adenocarcinoma clinical samples. A correlation between IDH1 expression and poor overall survival of non-small cell lung cancer (NSCLC) patients was observed. Furthermore, ELISA analysis showed that the plasma level of IDH1 was significantly elevated in NSCLC patients compared with benign lung disease patients and healthy individuals. In addition, knockdown of IDH1 by RNA interference suppressed the proliferation of NSCLC cell line and decreased the growth of xenograft tumors in vivo. These observations suggested that IDH1, as a protein promoting tumor growth, could be used as a plasma biomarker for diagnosis and a histochemical biomarker for prognosis prediction of NSCLC.


Clinical Cancer Research | 2013

Isocitrate Dehydrogenase 1 Is a Novel Plasma Biomarker for the Diagnosis of Non–Small Cell Lung Cancer

Nan Sun; Zhaoli Chen; Fengwei Tan; Baihua Zhang; Ran Yao; Chengcheng Zhou; Jiagen Li; Yibo Gao; Ziyuan Liu; Xiaogang Tan; Fang Zhou; Max Yifan He; Kang Shao; Ning Li; Bin Qiu; Jian Sun; Yue Yu; Suya Wang; Yuda Zhao; Xuejiao Shi; Jie He

Purpose: Effective biomarkers for the diagnosis of non–small cell lung cancer (NSCLC) are needed. We previously showed that isocitrate dehydrogenase 1 (IDH1) is significantly increased in NSCLC tumors. This study aimed to examine the plasma levels of IDH1 in a large patient population to evaluate its effectiveness in NSCLC diagnosis. Experimental Design: The plasma levels of IDH1, CA125, Cyfra21-1, and CEA were assayed by ELISA. Blood samples were obtained from 1,422 participants (943 patients with NSCLC and 479 healthy controls). The samples were randomly divided into a training set and a test set. Receiver operating characteristic and binary logistic regression analyses were applied to evaluate diagnostic efficacy and establish diagnostic mathematical models. Results: Plasma IDH1 levels were significantly higher in patients with NSCLCs than in healthy controls (P < 0.001). The diagnostic use of IDH1 in lung adenocarcinoma [area under curve (AUC): 0.858 and 0.810; sensitivity: 77.1% and 76.2%; specificity: 82.9% and 76.6%; in the training set and test set, respectively] was significantly greater than that of CA125, Cyfra21-1, or CEA (P < 0.001). The model combining IDH1 with CEA, CA125, and Cyfra21-1 was more effective for lung adenocarcinoma diagnosis than IDH1 alone (sensitivity and specificity in the training set: 75.8%, 89.6%; test set: 86.3%, 70.7%). In addition, the plasma levels of IDH1 could contribute to the diagnostic model of lung squamous cell carcinoma. Conclusions: IDH1 can be used as a plasma biomarker for the diagnosis of NSCLCs, particularly lung adenocarcinoma, with relatively high sensitivity and specificity. Clin Cancer Res; 19(18); 5136–45. ©2013 AACR.


Cancer Letters | 2015

Combination of serum miRNAs with Cyfra21-1 for the diagnosis of non-small cell lung cancer

Chengcheng Zhou; Zhaoli Chen; Jingsi Dong; Jiagen Li; Xuejiao Shi; Nan Sun; Mei Luo; Fang Zhou; Fengwei Tan; Jie He

In this study, we screened 381 miRNAs by RT-qPCR in serum samples of 44 NSCLC patients and 22 healthy individuals to identify altered miRNAs, and validated the results in a training and test cohorts with 300 serum samples (178 NSCLC and 122 healthy individuals). Three miRNAs (miR-194, miR-652 and miR-660) were selected from 380 miRNAs by two normalization methods in the discovery cohort, and miR-652 and miR-660 were confirmed to be significantly upregulated in ADC and SCC patients compared with healthy controls both in the training and test cohorts (p < 0.01). The combination of miR-652 and miR-660 exhibited significantly higher AUC than miR-660, CEA and CA125 for ADC and SCC diagnosis in both the training and test cohorts (p < 0.05). Furthermore, miR-652 + miR-660 + Cyfra21-1 significantly improved the diagnostic ability to determine ADC patients from healthy controls. For SCC diagnosis, miR-652 + miR-660 + Cyfra21-1 exhibited comparable ability to Cyfra21-1. The results indicate that the combination of miR-652 + miR-660 and Cyfra21-1 has the potential to help in the diagnosis of NSCLC, especially for ADC.


Thoracic Cancer | 2018

Blind spot in lung cancer lymph node metastasis: Cross-lobe peripheral lymph node metastasis in early stage patients: Cross-lobe lymph node metastasis in LC

Ning Li; Fengwei Tan; Jiagen Li; Kang Shao; Jun Zhao; Juwei Mu; Shugeng Gao; Jie He

At present, it has not yet been determined whether metastasis can be transferred cross‐lobe to peripheral lymph nodes (LNs) from other lobes in early stages of lung cancer, especially without any direct involvement to the pleura and parenchyma of the lobe. This study was conducted to investigate this issue.


Biochemical and Biophysical Research Communications | 2012

MicroRNA-25 promotes cell migration and invasion in esophageal squamous cell carcinoma.

Xiaohui Xu; Zhaoli Chen; Xiaohong Zhao; Jiwen Wang; Dapeng Ding; Zhen Wang; Fengwei Tan; Xiaogang Tan; Fang Zhou; Jian Sun; Nan Sun; Yibo Gao; Kang Shao; Ning Li; Bin Qiu; Jie He


Familial Cancer | 2011

The impact of positive cancer family history on the clinical features and outcome of patients with non-small cell lung cancer

Ning Li; Kang Shao; Zhaoli Chen; Bin Qiu; Zhen Wang; Fengwei Tan; Jiwen Wang; Xiaogang Tan; Baozhong Li; Meihua Xiong; Fang Zhou; Jie He

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Nan Sun

Academy of Medical Sciences

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Jie He

Peking Union Medical College

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Dapeng Ding

Peking Union Medical College

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Jie Hang

Peking Union Medical College

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Susheng Shi

Peking Union Medical College

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Xiaoli Feng

Peking Union Medical College

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Liqing Tian

Chinese Academy of Sciences

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Runsheng Chen

Chinese Academy of Sciences

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Xiaohong Zhao

Peking Union Medical College

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