Angiogenesis enhances cancer metastasis and progression, however, the roles of transcription regulation in angiogenesis are not fully defined. ZNF322A is an oncogenic zinc-finger transcription factor. Here, we demonstrate a new mechanism of Kras mutation-driven ZNF322A transcriptional activation and elucidate the interplay between ZNF322A and its upstream transcriptional regulators and downstream transcriptional targets in promoting neo-angiogenesis. Methods: Luciferase activity, RT-qPCR and ChIP-qPCR assays were used to examine transcription regulation in cell models. In vitro and in vivo angiogenesis assays were conducted. Immunohistochemistry, Kaplan-Meier method and multivariate Cox regression assays were performed to examine the clinical correlation in tumor specimens from lung cancer patients. Results: We validated that Yin Yang 1 (YY1) upregulated ZNF322A expression through targeting its promoter in the context of Kras mutation. Reconstitution experiments by knocking down YY1 under Kras G13V activation decreased Kras G13V -promoted cancer cell migration, proliferation and ZNF322A promoter activity. Knockdown of YY1 or ZNF322A attenuated angiogenesis in vitro and in vivo. Notably, we validated that ZNF322A upregulated the expression of sonic hedgehog (Shh) gene which encodes a secreted factor that activates pro-angiogenic responses in endothelial cells. Clinically, ZNF322A protein expression positively correlated with Shh and CD31, an endothelial cell marker, in 133 lung cancer patient samples determined using immunohistochemistry analysis. Notably, patients with concordantly high expression of ZNF322A, Shh and CD31 correlated with poor prognosis. Conclusions: These findings highlight the mechanism by which dysregulation of Kras/YY1/ZNF322/Shh transcriptional axis enhances neo-angiogenesis and cancer progression in lung cancer. Therapeutic strategies that target Kras/YY1/ZNF322A/Shh signaling axis may provide new insight on targeted therapy for lung cancer patients.
This paper presents a new vision-based vehicle detection method for Forward Collision Warning System (FCWS) at nighttime. Also, lane detection is performed for assistance. To effectively extract the bright objects of interest, an essential image preprocessing including the tone mapping, contrast enhancement and adaptive binaryzation is applied in the nighttime road scenes. The characteristics of taillights in graylevel image are extracted by night vehicle detection method, and the resulted taillight candidates are verified by their corresponding red-component which results from R and B color channels. The taillight candidates to be performed with pairing algorithm are filtered by our proposed adaptive lane boundaries on the basis of Inverse Perspective Mapping (IPM). In addition, we proposed a new detecting scheme which performs the detecting algorithm on two Region of Interest (ROI) defined by different size each time. The computing burden is then reduced because vehicle detection does not have to be performed on the entire image. Finally, relative distance and Time To Collision (TTC) are estimated to warn the inappropriate driving behavior of the driver. The proposed night vehicle detection which integrates lane detection has successfully implemented in ADI-BF561 600MHz dual-core DSP.
This paper presents how an intelligent multimediabased vehicle warning device is developed. The focal device incorporates the lane departure warning (LDW) function, the forward collision warning (FCW) function, and the event vide-recorder (EVR) function with a charged-coupled-diode (CCD) camera as the means to capture image. The LDW component uses a median filter, an edge-enhancement filter and the Hough Transform algorithm for lane recognition. The FCW component identifies vehicles with a featurebased approach while verifies the vehicle candidates by the appearance-based approach. Besides, we also propose a noble vehicle detecting scheme in which the task of vehicle detection depends not on the whole image within a frame but rather on the image's three constituent portions of different sizes, with a view to reduce the computing burden. The motion vector (MV) estimation is applied to track the detected vehicle in movement. This act helps that not all vehicles inside the image frame subject to detect in the vehicle detection stage. The EVR system is used to record the image captured in the event of a vehicle accident. The integration of LDW, FCW and EVR functions has successfully implemented in an ADI-BF561 600MHz dual core digital signal process (DSP). Ninth IEEE International Symposium on Multimedia 2007 -Workshops 0-7695-3084-2/07 $25.00
This paper presents how an intelligent multimediabased vehicle warning device is developed. The focal device incorporates the lane departure warning (LDW) function, the forward collision warning (FCW) function, and the event vide-recorder (EVR) function with a charged-coupled-diode (CCD) camera as the means to capture image. The LDW component uses a median filter, an edge-enhancement filter and the Hough Transform algorithm for lane recognition. The FCW component identifies vehicles with a featurebased approach while verifies the vehicle candidates by the appearance-based approach. Besides, we also propose a noble vehicle detecting scheme in which the task of vehicle detection depends not on the whole image within a frame but rather on the image's three constituent portions of different sizes, with a view to reduce the computing burden. The motion vector (MV) estimation is applied to track the detected vehicle in movement. This act helps that not all vehicles inside the image frame subject to detect in the vehicle detection stage. The EVR system is used to record the image captured in the event of a vehicle accident. The integration of LDW, FCW and EVR functions has successfully implemented in an ADI-BF561 600MHz dual core digital signal process (DSP).
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