2 resultados para Axis 1

em QSpace: Queen's University - Canada


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The ability of tumour cells to avoid immune destruction (immune escape) and their acquired resistance to anti-cancer drugs constitute important barriers to the successful management of cancer. The interaction between specific molecules on the surface of tumour cells with their corresponding receptors on immune effector cells can result in inhibition of these effector cells, consequently allowing tumour cells to evade the host’s anti-tumour immune response. The interaction of the Programmed Death Ligand 1 (PD-L1) on the surface of tumour cells with the Programmed Death-1 (PD-1) receptor on cytotoxic T lymphocytes leads to inactivation of these immune effectors, and is a specific example of an immune escape mechanism tumour cells use to avoid immune destruction. Clinically, antibodies capable of blocking the PD-1/PD-L1 interaction have demonstrated significant therapeutic benefit, and are currently being used to help bolster patients’ immune response against malignant cells in a variety of cancer types. Here we show that the PD-1/PD-L1 interaction also leads to tumour cell resistance to conventional chemotherapeutic agents. Incubation of PD-L1-expressing human and mouse tumour cells with PD-1-expressing Jurkat T cells or purified recombinant PD-1 resulted in tumour cell resistance to doxorubicin and docetaxel. Interference with the PD-1/PD-L1 interaction using blocking anti-PD-1 or anti-PD-L1 antibody or shRNA-mediated gene silencing resulted in attenuation of PD-1/PD-L1-mediated drug resistance. Moreover, inhibition of the PD-1/PD-L1 signalling axis using anti-PD-1 antibody enhanced the effect of doxorubicin chemotherapy to inhibit 4T1 tumour cell metastasis in an in vivo mouse model of mammary carcinoma. These findings indicate that blockade of the PD-1/PD-L1 axis may be a useful approach to immunosensitize and chemosensitize tumours in cancer patients and provide a rationale for the use of anti-PD-1/PD-L1 antibodies as adjuvants to chemotherapy.

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This paper introduces the LiDAR compass, a bounded and extremely lightweight heading estimation technique that combines a two-dimensional laser scanner and axis maps, which represent the orientations of flat surfaces in the environment. Although suitable for a variety of indoor and outdoor environments, the LiDAR compass is especially useful for embedded and real-time applications requiring low computational overhead. For example, when combined with a sensor that can measure translation (e.g., wheel encoders) the LiDAR compass can be used to yield accurate, lightweight, and very easily implementable localization that requires no prior mapping phase. The utility of using the LiDAR compass as part of a localization algorithm was tested on a widely-available open-source data set, an indoor environment, and a larger-scale outdoor environment. In all cases, it was shown that the growth in heading error was bounded, which significantly reduced the position error to less than 1% of the distance travelled.