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Featured researches published by Chun-Wei Peng.


Tumor Biology | 2014

Collagen as a double-edged sword in tumor progression

Min Fang; Jing-Ping Yuan; Chun-Wei Peng; Yan Li

It has been recognized that cancer is not merely a disease of tumor cells, but a disease of imbalance, in which stromal cells and tumor microenvironment play crucial roles. Extracellular matrix (ECM) as the most abundant component in tumor microenvironment can regulate tumor cell behaviors and tissue tension homeostasis. Collagen constitutes the scaffold of tumor microenvironment and affects tumor microenvironment such that it regulates ECM remodeling by collagen degradation and re-deposition, and promotes tumor infiltration, angiogenesis, invasion and migration. While collagen was traditionally regarded as a passive barrier to resist tumor cells, it is now evident that collagen is also actively involved in promoting tumor progression. Collagen changes in tumor microenvironment release biomechanical signals, which are sensed by both tumor cells and stromal cells, trigger a cascade of biological events. In this work, we discuss how collagen can be a double-edged sword in tumor progression, both inhibiting and promoting tumor progression at different stages of cancer development.


Biomaterials | 2011

Patterns of cancer invasion revealed by QDs-based quantitative multiplexed imaging of tumor microenvironment

Chun-Wei Peng; Xiu-Li Liu; Chuang Chen; Xiong Liu; Xue-Qin Yang; Dai-Wen Pang; Xiaobo Zhu; Yan Li

Tumor growth and progression depends on their microenvironment, which undergoes constant co-evolution because of the dynamic tumor-stormal interactions. Such co-evolution has long been under appreciated due to the lack of appropriate technology platforms to simultaneously reveal these complex interactions. Here we report on a quantum dots based multiplexed imaging and spectrum analysis technology to simultaneously study major components of tumor stroma, including type IV collagen, tumor angiogenesis, macrophages infiltration and tissue destructive proteolytic enzyme matrix metalloproteinase 9. The new technology revealed a panoramic picture of the tempo-spatial co-evolution of tumor cells and their stroma at the architecture level. Four patterns of tumor invasion with distinctive co-evolution features were identified as Washing pattern, Ameba-like pattern, Polarity pattern and Linear pattern. This quantum dots based multiplexed technology could help gain new insight into the complex process of tumor invasion, and formulate new anti-cancer strategies.


Nanomedicine: Nanotechnology, Biology and Medicine | 2012

Tapping the potential of quantum dots for personalized oncology: current status and future perspectives

Chuang Chen; Jun Peng; Shengrong Sun; Chun-Wei Peng; Yan Li; Dai-Wen Pang

Cancer is one of the most serious health threats worldwide. Personalized oncology holds potential for future cancer care in clinical practice, where each patient could be delivered individualized medicine on the basis of key biological features of an individual tumor. One of the most urgent problems is to develop novel approaches that incorporate the increasing molecular information into the understanding of cancer biological behaviors for personalized oncology. Quantum dots are a heterogeneous class of engineered fluorescent nanoparticles with unique optical and chemical properties, which make them promising platforms for biomedical applications. With the unique optical properties, the utilization of quantum dot-based nanotechnology has been expanded into a wide variety of attractive biomedical applications for cancer diagnosis, monitoring, pathogenesis, treatment, molecular pathology and heterogeneity in combination with cancer biomarkers. Here, we focus on the clinical application of quantum dot-based nanotechnology in personalized oncology, covering topics on individualized cancer diagnosis and treatment by in vitro and in vivo molecular imaging technologies, and in-depth understanding of the biological behaviors of tumors from a nanotechnology perspective. In addition, the major challenges in translating quantum dot-based nanotechnology into clinical application and promising future directions in personalized oncology are also discussed.


Cancer biology and medicine | 2012

Quantum dots for cancer research: current status, remaining issues, and future perspectives.

Min Fang; Chun-Wei Peng; Dai-Wen Pang; Yan Li

Cancer is a major threat to public health in the 21st century because it is one of the leading causes of death worldwide. The mechanisms of carcinogenesis, cancer invasion, and metastasis remain unclear. Thus, the development of a novel approach for cancer detection is urgent, and real-time monitoring is crucial in revealing its underlying biological mechanisms. With the optical and chemical advantages of quantum dots (QDs), QD-based nanotechnology is helpful in constructing a biomedical imaging platform for cancer behavior study. This review mainly focuses on the application of QD-based nanotechnology in cancer cell imaging and tumor microenvironment studies both in vivo and in vitro, as well as the remaining issues and future perspectives.


Biomaterials | 2013

Recognition and capture of metastatic hepatocellular carcinoma cells using aptamer-conjugated quantum dots and magnetic particles

Fu-Bing Wang; Yuan Rong; Min Fang; Jing-Ping Yuan; Chun-Wei Peng; Shao-Ping Liu; Yan Li

Metastatic recurrence is the most important biological behavior of hepatocellular carcinoma (HCC) and the main cause of treatment failure. Early prediction of metastasis is currently impossible due to the lack of specific molecular probes to recognize metastatic HCC cells. Aptamers have recently emerged as promising potential molecular probes for biomedical applications. Two well-matched HCC cell lines including HCCLM9 with high metastatic potential and MHCC97-L with low metastatic potential, were used to select aptamers for HCC metastasis. With a whole-cell-SELEX strategy, in which HCCLM9 cells were used as target cells and MHCC97-L cells as subtractive cell, 6 potential aptamers had been generated. Detailed study on selected aptamer LY-1 revealed that it could bind metastatic HCC cells with high affinity and specificity, not only in cells culture and animal models of HCC metastasis, but also in clinical HCC specimens. Moreover, the aptamer LY-1 and magnetic particles conjugates could efficiently capture the HCC cells from complex mixture whole blood. These studies demonstrated that this HCC specific aptamer LY-1 could be a promising molecular probe to recognize metastatic HCC cells.


Journal of Translational Medicine | 2010

Co-evolution of Cancer Microenvironment Reveals Distinctive Patterns of Gastric Cancer Invasion: Laboratory Evidence and Clinical Significance

Chun-Wei Peng; Xiu-Li Liu; Xiong Liu; Yan Li

BackgroundCancer invasion results from constant interactions between cancer cells and their microenvironment. Major components of the cancer microenvironment are stromal cells, infiltrating inflammatory cells, collagens, matrix metalloproteinases (MMP) and newly formed blood vessels. This study was to determine the roles of MMP-9, MMP-2, type IV collagen, infiltrating macrophages and tumor microvessels in gastric cancer (GC) invasion and their clinico-pathological significance.MethodsParaffin-embedded tissue sections from 37 GC patients were studied by Streptavidin-Peroxidase (SP) immunohistochemical technique to determine the levels of MMP-2, MMP-9, type IV collagen, macrophages infiltration and microvessel density (MVD). Different invasion patterns were delineated and their correlation with major clinico-pathological information was explored.ResultsMMP2 expression was higher in malignant gland compared to normal gland, especially nearby the basement membrane (BM). High densities of macrophages at the interface of cancer nests and stroma were found where BM integrity was destroyed. MMP2 expression was significantly increased in cases with recurrence and distant metastasis (P = 0.047 and 0.048, respectively). Infiltrating macrophages were correlated with serosa invasion (P = 0.011) and TNM stage (P = 0.001). MVD was higher in type IV collagen negative group compared to type IV collagen positive group (P = 0.026). MVD was related to infiltrating macrophages density (P = 0.040). Patients with negative MMP9 expression had better overall survival (OS) compared to those with positive MMP9 expression (Median OS 44.0 vs 13.5 mo, P = 0.036). Median OS was significantly longer in type IV collagen positive group than negative group (Median OS 25.5 vs 10.0 mo, P = 0.044). The cumulative OS rate was higher in low macrophages density group than in high macrophages density group (median OS 40.5 vs 13.0 mo, P = 0.056). Median OS was significantly longer in low MVD group than high MVD group (median OS 39.0 vs 8.5 mo, P = 0.001). The difference of disease-free survival (DFS) between low MVD group and high MVD group was not statistically significant (P = 0.260). Four typical patterns of cancer invasion were identified based on histological study of the cancer tissue, including Washing pattern, Ameba-like pattern, Spindle pattern and Linear pattern.ConclusionsProteolytic enzymes MMP9, MMP2 and macrophages in stroma contribute to GC progression by facilitating the angiogenesis. Cancer invasion patterns may help predict GC metastasis.


Biomaterials | 2011

Quantum dots-based molecular classification of breast cancer by quantitative spectroanalysis of hormone receptors and HER2

Chuang Chen; Shengrong Sun; Yi-Ping Gong; Chu-Bo Qi; Chun-Wei Peng; Xue-Qin Yang; Shao-Ping Liu; Jun Peng; Shan Zhu; Ming-Bai Hu; Dai-Wen Pang; Yan Li

The emerging molecular breast cancer (BC) classification based on key molecules, including hormone receptors (HRs), and human epidermal growth factor receptor 2 (HER2) has been playing an important part of clinical practice guideline. The current molecular classification mainly based on their fingerprints, however, could not provide enough essential information for treatment decision making. The molecular information on both patterns and quantities could be more helpful to heterogeneities understanding for BC personalized medicine. Here we conduct quantitative determination of HRs and HER2 by quantum dots (QDs)-based quantitative spectral analysis, which had excellent consistence with traditional method. Moreover, we establish a new molecular classification system of BC by integrating the quantitative information of HER2 and HRs, which could better reveal BC heterogeneity and identify 5 molecular subtypes with different 5-year prognosis. Furthermore, the emerging 5 molecular subtypes based on simple quantitative molecules information could be as informative as multi-genes analysis in routine practice, and might help formulate a more personalized comprehensive therapy strategy and prognosis prediction.


Biomaterials | 2012

Quantum-dots based simultaneous detection of multiple biomarkers of tumor stromal features to predict clinical outcomes in gastric cancer.

Chun-Wei Peng; Qian Tian; Guifang Yang; Min Fang; Zhi-Ling Zhang; Jun Peng; Yan Li; Dai-Wen Pang

Tumor microenvironment has been increasingly recognized as a complex and dynamic cancer society influencing tumor invasion and progression. The prognostic significance of this microenvironment is yet to be fully appreciated. A holistic approach to obtaining integrated information on key components in tumor microenvironment is essential. Here we reported on a quantum dots (QDs)-based simultaneous in-situ detection of infiltrating macrophages, tumor microvessels density (MVD) and neovessels maturity, in gastric cancer tissues, to obtain integrated information on these components, termed as combined tumor stromal features. These stromal features had the comparable prognostic value for overall survival, and even better prognostic value for disease-free survival, compared with traditional tumor cell-based clinico-pathological parameters. Subgroups of gastric cancer patients with favorable and unfavorable combined tumor stromal features were identified, with significantly different clinical outcomes. This study demonstrated the technical advantages of QDs-based simultaneous detection of multiple biomarkers in situ, revealed the important role of tumor stroma in cancer biology, and opened a new field to predict clinical outcome in gastric cancer from the perspectives of tumor microenvironment.


Biochemical and Biophysical Research Communications | 2011

Quantum dots-based double-color imaging of HER2 positive breast cancer invasion.

Xiu-Li Liu; Chun-Wei Peng; Chuang Chen; Xue-Qin Yang; Ming-Bai Hu; He-Shun Xia; Shao-Ping Liu; Dai-Wen Pang; Yan Li

It has been well recognized that human epidermal growth factor receptor 2 (HER2) level in breast cancer (BC) is closely related to the malignant biologic behaviors of the tumor, including invasion and metastasis. Yet, there has been a lack of directly observable evidence to support such notion. Here we report a quantum dots (QDs)-based double-color imaging technique to simultaneously show the HER2 level on BC cells and the type IV collagen in the tumor matrix. In benign breast tumor, the type IV collagen was intact. With the increasing of HER2 expression level, there has been a progressive decrease in type IV collagen around the cancer nest. At HER2 (3+) expression level, there has virtually been a total destruction of type IV collagen. Moreover, HER2 (3+) BC cells also show direct invasion into the blood vessels. This novel imaging method provides direct observable evidence to support the theory that the HER2 expression level is directly related to BC invasion.


Journal of Nanomaterials | 2010

Application of quantum dots-based biotechnology in cancer diagnosis: current status and future perspectives

Chun-Wei Peng; Yan Li

The semiconductor nanocrystal quantum dots (QDs) have excellent photo-physical properties, and the QDs-based probes have achieved encouraging developments in cellular and in vivo molecular imaging. More and more researches showed that QDs-based technology may become a promising approach in cancer research. In this review, we focus on recent application of QDs in cancer diagnosis and treatment, including early detection of primary tumor such as ovarian cancer, breast cancer, prostate cancer and pancreatic cancer, as well as regional lymph nodes and distant metastases. With the development of QDs synthesis and modification, the effect of QDs on tumor metastasis investigation will become more and more important in the future.

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