Inflammatory stimuli clearly contribute to lung cancer development and progression, but the underlying pathogenic mechanisms are not fully understood. We found that the proinflammatory cytokine IL-1b is dramatically elevated in the serum of patients with non-small cell lung cancer (NSCLC). In vitro studies showed that IL-1b promoted the proliferation and migration of NSCLC cells. Mechanistically, IL-1b acted through the COX2-HIF1a pathway to repress the expression of microRNA-101 (miR-101), a microRNA with an established role in tumor suppression. Lin28B was identified as critical effector target of miR-101 with its repression of Lin28B, a critical aspect of tumor suppression. Overall, IL-1b upregulated Lin28B by downregulating miR-101. Interestingly, cyclooxygenase-2 inhibition by aspirin or celecoxib abrogated IL-1b-mediated repression of miR-101 and IL-1b-mediated activation of Lin28B along with their stimulatory effects on NSCLC cell proliferation and migration. Together, our findings defined an IL-1b-miR-101-Lin28B pathway as a novel regulatory axis of pathogenic inflammatory signaling in NSCLC. Cancer Res; 74(17); 4720-30. Ó2014 AACR.
Diagnosis of lung cancer is performed using a plasmonic gold (pGOLD) chip through multiplexed near‐infrared (NIR) detection of carcino‐embryonic antigen (CEA), Cyfra21‐1, and neuron‐specific enolase (NSE) in the serum samples of patients. With ≈50‐fold enhancement of NIR fluorescence, multiplexed microarray analysis of CEA, Cyfra21‐1, and NSE in 10 μL of human serum or whole blood samples on pGOLD chip leads to markedly improved limit‐of‐quantification, limit‐of‐detection, reproducibility, and higher diagnostic sensitivity and specificity compared to traditional biochips and Luminex technology currently in use in hospitals.
This paper investigates the problem of designing a fuzzy state feedback controller to stabilize an uncertain fuzzy system with time-varying delay. Based on Lyapunov criterion and Razumikhin theorem, some sufficient conditions are derived under which the parallel-distributed fuzzy control can stabilize the whole uncertain fuzzy time-delay system asymptotically. By Schur complement, these sufficient conditions can be easily transformed into the problem of LMIs. Furthermore, the tolerable bound of the perturbation is also obtained. A practical example based on the continuous stirred tank reactor (CSTR) model is given to illustrate the control design and its effectiveness.
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