UVMS task-priority planning framework for underwater task goal classification optimization.

This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation for multitasking underwater operational tasks: attitude control, floating manipulation, collision-free motion, especially optimizing trajectory of the end-effector of an underwater vehicle manipulator system (UVMS) in a complex marine environment. The design framework aims to divide the complex underwater operational tasks into UVMS executable generic task combinations and optimize the resource consumption during the whole task. In order to achieve the corresponding underwater task settings, the system needs to satisfy different task scheduling structures. We consider the actual application scenarios of the operational goals and prioritize and define each category of task hierarchy accordingly. Multiple tasks simultaneously enable fast adaptation to UVMS movements and planning to complete UVMS autonomous movements. Finally, an underwater vehicle manipulator system implements the task prioritization planning framework for a practical scenario with different constraints on different goals. We quickly and precisely realize the interconversion of different tasks under goal constraints. The autonomous motion planning and real-time performance of UVMS are improved to cope with the increasing operational task requirements and the complex and changing practical engineering application environments.

Predictable Roles of Peripheral IgM Memory B Cells for the Responses to Anti-PD-1 Monotherapy Against Advanced Non-Small Cell Lung Cancer.

Tumor-infiltrating B cells and tertiary lymphoid structures have been identified to predict the responses to immune checkpoint inhibitors (ICIs) in cancer immunotherapy. Considering the feasibility of sample collection, whether peripheral B cell signatures are associated with the responses to ICI therapy remains unclear. Herein, we have defined peripheral B cell signatures in advanced non-small cell lung cancer (NSCLC) patients receiving anti-PD-1 monotherapy and investigated their associations with clinical efficacy. It was found that the percentages of B cells before the treatment (baseline) were significantly higher (P = 0.004) in responder (R, n = 17) than those in non-responder (NonR, n = 33) NSCLC patients in a discovery cohort. Moreover, the percentages of baseline IgM+ memory B cells were higher (P < 0.001) in R group than those in NonR group, and associated with a longer progression free survival (PFS) (P = 0.003). By logistic regression analysis peripheral baseline IgM+ memory B cells were identified as an independent prognostic factor (P = 0.002) for the prediction of the responses to anti-PD-1 monotherapy with the AUC value of 0.791, which was further validated in another anti-PD-1 monotherapy cohort (P = 0.011, n = 70) whereas no significance was observed in patients receiving anti-PD-L1 monotherapy (P = 0.135, n = 30). Therefore, our data suggest the roles of peripheral IgM+ memory B cells in predicting the responses to anti-PD-1 treatment in Chinese advanced NSCLC patients.

Integrated histological and molecular analyses of rebiopsy samples at osimertinib progression improve post-progression survivals: A single-center retrospective study.

BACKGROUND: This single-center retrospective cohort study sought to investigate the impact of rebiopsy analysis after osimertinib progression in improving the survival outcomes. METHODS: Eighty-nine patients with EGFR T790M-positive advanced NSCLC who received second- or further-line osimertinib between January 2017 and July 2019 were included in this study. The co-primary study endpoints were post-progression progression-free survival (pPFS), defined as the time from osimertinib progression until progression from further-line treatment, and post-progression overall survival (pOS), defined as the time from osimertinib progression until death or the last follow-up date. RESULTS: Pairwise analysis revealed that receiving targeted therapy as further-line treatment after osimertinib progression did not statistically improve the pPFS (P = 0.285) or the pOS (P = 0.903) compared to chemotherapy. However, patients who submitted rebiopsy samples at osimertinib progression for histological and molecular analyses, particularly those who had actionable markers and received highly matched therapy, had significantly longer pPFS and pOS as compared to those who received low-level matched therapy (pPFS = 10.0 m vs. 4.1 m, P = 0.005; pOS = 19.4 m vs. 10.0 m, P = 0.023), unmatched therapy (pPFS = 10.0 m vs. 4.7 m, P = 0.009; pOS = 19.4 m vs. 7.0 m, P = 0.001), and those without rebiopsy data (Rebiopsy vs Non-rebiopsy; pPFS = 6.1 m vs. 3.3 m, P = 0.014; pOS = 11.7 m vs. 6.8 m, P = 0.011). CONCLUSION: Our real-world cohort study demonstrates that integrated histological and molecular analyses of rebiopsy specimens after osimertinib progression could provide more opportunities for individualized treatments to improve the post-progression survival of patients with advanced NSCLC. Our findings provide clinical evidence that supports the inclusion of NGS-based analysis of rebiopsy specimens as standard-of-care after osimertinib progression and warrants further prospective evaluation.