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Dive into the research topics where Hongchao Xiong is active.

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Featured researches published by Hongchao Xiong.


PLOS ONE | 2015

Deregulated HOXB7 Expression Predicts Poor Prognosis of Patients with Esophageal Squamous Cell Carcinoma and Regulates Cancer Cell Proliferation In Vitro and In Vivo

Hui Li; Luyan Shen; Wanpu Yan; Bin Dong; Xiaozheng Kang; Liang Dai; Yongbo Yang; Hao Fu; Heli Yang; Haitao Zhou; Chuan Huang; Zhen Liang; Hongchao Xiong; Keneng Chen

Background We observed abnormal HOXB7 expression in esophageal squamous cell carcinoma (ESCC) previously. This study was to evaluate the prognostic significance of HOXB7 and reveal the potential mechanism. Methods Immunohistochemistry was used to confirm the abnormal expression of HOXB7 in ESCC. The prognostic significance of HOXB7 expression was analyzed in two independent cohorts. RNAi was used to establish two stable HOXB7-knockdown cell strains. CCK8 assay, cell growth curve assay, colony formation assay, flow cycle analysis and tumorigenicity assay in nude mice were employed to investigate the effect of HOXB7 on proliferation in vitro and in vivo. Results Immunohistochemistry confirmed the abnormal expression of HOXB7 in ESCC compared with paracancerous mucosa (18/23 vs. 9/23, p=0.039). HOXB7 expression was positively correlated with the T stage, lymph node metastasis and TNM stage. The median survival of patients with high HOXB7 expression was significantly shorter than that with low expression (45 months vs. 137 months, p = 0.007 for cohort 1; 19 months vs. 34 months, p = 0.001 for cohort 2). Multivariate survival analysis showed that HOXB7 expression was another independent prognostic factor (HR [95% CI] = 0.573 [0.341–0.963], p = 0.036 for cohort 1; HR [95%CI] = 0.543 [0.350–0.844], p = 0.024 for cohort 2). Experiments in vitro and in vivo showed that after knockdown of HOXB7, the proliferation rate dropped, growth rate descended, colony-formation ability reduced, G1-phase arrest occurred and the tumorigenicity reduced remarkably. Conclusions HOXB7 could promote cancer cell proliferation and might be an independent prognostic factor for patients with ESCC.


Theranostics | 2017

Cross-Platform Comparison of Four Leading Technologies for Detecting EGFR Mutations in Circulating Tumor DNA from Non-Small Cell Lung Carcinoma Patient Plasma

Ting Xu; Xiaozheng Kang; Xiaofang You; Liang Dai; Dequan Tian; Wanpu Yan; Yongbo Yang; Hongchao Xiong; Zhen Liang; Grace Q. Zhao; Shengrong Lin; Ke-Neng Chen; Guobing Xu

Analysis of circulating tumor DNA (ctDNA) is emerging as a powerful tool for guiding targeted therapy and monitoring tumor evolution in patients with non-small cell lung cancer (NSCLC), especially when representative tissue biopsies are not available. Here, we have compared the ability of four leading technology platforms to detect epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, T790M and G719X) in ctDNA from NSCLC patients. Two amplification refractory mutation systems (cobas-ARMS and ADx-ARMS), a droplet digital polymerase chain reaction (ddPCR) and a next-generation sequencing (Firefly NGS) platform were included in the comparison. Fifteen EGFR mutations across twenty NSCLC patients were identified. Firefly NGS, cobas-ARMS and ddPCR all displayed superior sensitivity while ADx-ARMS was better suited for the qualitative detection of EGFR mutations with allele frequency higher than 1% in plasma and tissue samples. We observed high coincidence between the plasma and tissue EGFR mutational profiles for three driver mutations (L858R, exon 19 deletion and G719X) that are known targets of first generation EGFR-TKI therapies among patients who relapsed. Discrepancies between tissue and plasma EGFR mutational profiles were mainly attributable to spatial and temporal tumor heterogeneity, mutation inhibition due to therapy response and drug resistance (T790M). This study illustrates the challenges associated with selection of a technology platform for EGFR ctDNA analysis in the context of treatment evaluation and drug resistance detection.


Journal of Thoracic Disease | 2016

The equivalent efficacy of multiple operations for multiple primary lung cancer and a single operation for single primary lung cancer.

Liang Dai; Heli Yang; Wanpu Yan; Zhen Liang; Hongchao Xiong; Xiao-Zheng Kang; Yongbo Yang; Hao Fu; Mengying Fan; Keneng Chen

BACKGROUND The incidence of synchronous and metachronous multiple primary lung cancers (MPLCs) has been increasing recently. The new multidisciplinary classification of lung adenocarcinoma and TNM Classification of Lung Cancer (7(th) edition, 2009), have improved the understanding of MPLC. Most researchers recommend that surgical therapy should be actively pursued if the patients physical condition and lung function permit it and if a complete cure can be achieved. However, few studies have reported the long-term efficacy of surgical treatment for MPLC, which we explored in this study. METHODS A total of 1,290 Lung cancer patients from a prospectively maintained database, treated by a single surgeon group between January 2000 and July 2013, at Beijing Cancer Hospital, Peking University, were reviewed. We retrospectively analyzed the clinical data of 31 patients diagnosed with MPLC out of 1290 lung cancer patients, focusing on long-term survival. RESULTS MPLC patients accounted for 2.4% (31/1,290) of the patient cohort: 27 had synchronous MPLC (87.1%) and 4 had metachronous MPLC (12.9%). The 1-, 3- and 5-year postoperative survival rates were 100%, 75.8% and 75.8%. On stratification according to TNM stage, the 1-, 3- and 5-year of patients with stage I cancer (20 patients) were 100%, 77.2% and 77.2%, not statistically significant with those for the entire cohort (1,290 patients; 95.4%, 80.5% and 66.2%, P=0.455). CONCLUSIONS When the patients physical condition and tumor-related factors permit it, surgery should be the first choice of treatment for MPLC; it is associated with an equivalent efficacy to that of surgery for single primary lung cancer.


Thoracic Cancer | 2015

Expression of p63 and CK5/6 in early-stage lung squamous cell carcinoma is not only an early diagnostic indicator but also correlates with a good prognosis

Yunfan Ma; Mengying Fan; Liang Dai; Xiaozheng Kang; Liu Yr; Yu Sun; Hongchao Xiong; Zhen Liang; Wanpu Yan; Keneng Chen

Non‐small cell lung cancer (NSCLC) accounts for 80% of lung cancers, and lung squamous cell carcinoma (SQCC) is one of the main types. Advances in the treatment of lung SQCC are lacking when compared to lung adenocarcinoma. The main treatment for early‐stage SQCC is surgery. However, factors affecting the efficacy of surgical treatments for early‐stage lung SQCC remain unclear. In this study, we examined the significance of commonly used lung SQCC diagnostic markers p63, p40, and cytokeratin (CK)5/6 in prognosis.


Cancer Letters | 2018

The identification of the ATR inhibitor VE-822 as a therapeutic strategy for enhancing cisplatin chemosensitivity in esophageal squamous cell carcinoma

Qi Shi; Lu-Yan Shen; Bin Dong; Hao Fu; Xiaozheng Kang; Yongbo Yang; Liang Dai; Wanpu Yan; Hongchao Xiong; Zhen Liang; Keneng Chen

Inducing DNA damage is known to be one of the mechanisms of cytotoxic chemotherapy agents for cancer such as cisplatin. The endogenous DNA damage response confers chemoresistance to these agents by repairing DNA damage. The initiation and transduction of the DNA damage response (DDR) signaling pathway, which is dependent on the activation of ATM (ataxia-telangiectasia mutated) and ATR (ataxia telangiectasia and Rad3-related), is essential for DNA damage repair, the maintenance of genomic stability and cell survival. Therefore, ATM or ATR inhibition is considered as a promising strategy for sensitizing cancer cells to chemotherapy. This study is aimed to explore the effect of ATR inhibitor on sensitizing ESCC (esophageal squamous cell carcinoma) cells to cisplatin, and whether ATM deficiency could impact the sensitization. We found that 21.5% of ESCC cases had ATM deficiency and that patients with ATR activation after neoadjuvant chemotherapy had worse chemotherapy response and poorer overall survival than that without ATR activation (32 mons vs. >140mons). Then, it was shown that VE-822 inhibited ATR-CHK1 pathway activation, leading to the accumulation of cisplatin-modified DNA. And it inhibited cell proliferation, induced cell cycle arrest in G1 phase and enhanced cell apoptosis. Moreover, VE-822 significantly sensitized ESCC cells to cisplatin, and these two drugs had synergistic effects, especially in ATM-deficient cells, in vitro and in vivo. Our results suggest that ATR inhibition combining with cisplatin is a new strategy for managing patients with ESCC, especially those with ATM-deficiency. However, this is an idea that requires further validation.


Cancer Research | 2017

Abstract 2742: Cross-platform comparison of four leading technologies for detectingEGFRmutations in circulating tumor DNA from plasma of patients with non-small cell lung carcinoma

Ting Xu; Xiaozheng Kang; Xiaofang You; Dai Liang; Dequan Tian; Wanpu Yan; Yongbo Yang; Hongchao Xiong; Zhen Liang; Grace Q. Zhao; Shengrong Lin; Ke-Neng Chen; Guobing Xu

Analysis of circulating tumor DNA (ctDNA) is emerging as a powerful tool for guiding targeted therapy and monitoring tumor evolution in patients with non-small cell lung cancer (NSCLC), particularly when fresh tissue biopsy is not available. This study compared the ability of four leading technology platforms to detect epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, T790M and G719X) in ctDNA from NSCLC patients. The platforms included two amplification refractory mutation systems (cobas-ARMS and ADx-ARMS), a droplet digital polymerase chain reaction platform (ddPCR) and a next-generation sequencing platform (Firefly NGS). Fifteen EGFR mutations across twenty NSCLC patients were identified. We observed superior sensitivity and specificity of cobas-ARMS, ddPCR and Firefly NGS platforms, while ADx-ARMS was only suitable for the qualitative detection of EGFR mutations with allele frequency higher than 1% in plasma samples. We observed high concordance between the plasma and tissue EGFR mutational profiles for three driver mutations that are known targets of the first generation EGFR-TKI therapy (L858R, E19-dels, and G719X). Discrepancies between plasma and tissue EGFR mutational profiling could be attributed to spatial and temporal tumor heterogeneity. This pilot study illustrates the promise of ctDNA analysis in the context of treatment evaluation and drug resistance detection, and results will be validated in follow-up studies. Citation Format: Ting Xu, Xiaozheng Kang, Xiaofang You, Dai Liang, Dequan Tian, Wanpu Yan, Yongbo Yang, Hongchao Xiong, Zhen Liang, Grace Q. Zhao, Shengrong Lin, Ke-Neng Chen, Guobing Xu. Cross-platform comparison of four leading technologies for detecting EGFR mutations in circulating tumor DNA from plasma of patients with non-small cell lung carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2742. doi:10.1158/1538-7445.AM2017-2742


Journal of Surgical Research | 2014

The survival predictive significance of HOXC6 and HOXC8 in esophageal squamous cell carcinoma

Ya-Bing Du; Bin Dong; Luyan Shen; Wanpu Yan; Liang Dai; Hongchao Xiong; Zhen Liang; Xiaozheng Kang; Bin Qin; Keneng Chen


Tumor Biology | 2015

The expression of TTF-1 and Napsin A in early-stage lung adenocarcinoma correlates with the results of surgical treatment

Yunfan Ma; Mengying Fan; Liang Dai; Xiaozheng Kang; Liu Yr; Yu Sun; Wanpu Yan; Zhen Liang; Hongchao Xiong; Keneng Chen


Annals of Surgical Oncology | 2015

CT Signs Can Predict Treatment Response and Long-Term Survival: A Study in Locally Advanced Esophageal Cancer with Preoperative Chemotherapy.

Xiao-Yan Zhang; Wanpu Yan; Yu Sun; Xiao-Ting Li; Ying Chen; Mengying Fan; Ying Wu; Zhen Liang; Hongchao Xiong; Zhi-Long Wang; Ying-Shi Sun; Keneng Chen


Chinese Journal of Lung Cancer | 2011

Diagnosis and Treatment for Pulmonary Sclerosing Hemangioma

Shaohua Ma; Yu Sun; Changzheng Du; Zhen Liang; Hongchao Xiong; Keneng Chen

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