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      Prognostic factors of refractory NSCLC patients receiving anlotinib hydrochloride as the third- or further-line treatment

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          Abstract

          Objective:

          Anlotinib hydrochloride is a multitarget tyrosine kinase inhibitor that targets vascular endothelial growth factor receptor, fibroblast growth factor receptor, platelet-derived growth factor receptor, c-Kit, and c-MET; therefore, it exhibits both antitumor and anti-angiogenetic activities. A phase III trial has shown that anlotinib improved progression-free survival (PFS) and overall survival (OS) in patients with advanced non-small cell lung cancer (NSCLC), who presented with progressive disease or intolerance after standard chemotherapy. This study aimed to analyze the characteristics of patients receiving anlotinib treatment to determine the dominant populations who are fit for the treatment.

          Methods:

          Data were collected from March 2015 to January 2017 from a randomized, double-blind, placebo-controlled, multicenter, phase III trial of anlotinib (ALTER0303). A total of 437 patients were enrolled and randomly allocated (2:1) to the anlotinib and placebo groups. Kaplan–Meier analysis and log-rank test were performed to compare PFS and OS. Cox proportional hazards model was adopted for multivariate prognostic analysis.

          Results:

          Multivariate analysis indicated that high post-therapeutic peripheral blood granulocyte/lymphocyte ratio and elevated alkaline phosphatase levels were independent risk factors for PFS. Meanwhile, elevated thyroid-stimulating hormone, blood glucose, and triglyceride levels; hypertension; and hand–foot syndrome were independent protective factors of PFS. High post-therapeutic peripheral blood granulocyte/lymphocyte ratio, an Eastern Cooperative Oncology Group (ECOG) score ≥ 2, and the sum of the maximal target lesion length at baseline were independent risk factors of OS, and hypertriglyceridemia was an independent protective factor of OS.

          Conclusions:

          This study preliminarily explored the possible factors that affected PFS and OS after anlotinib treatment in patients with advanced refractory NSCLC, and the baseline characteristics of the therapeutically dominant populations were then identified.

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          Most cited references15

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          Preclinical overview of sorafenib, a multikinase inhibitor that targets both Raf and VEGF and PDGF receptor tyrosine kinase signaling.

          Although patients with advanced refractory solid tumors have poor prognosis, the clinical development of targeted protein kinase inhibitors offers hope for the future treatment of many cancers. In vivo and in vitro studies have shown that the oral multikinase inhibitor, sorafenib, inhibits tumor growth and disrupts tumor microvasculature through antiproliferative, antiangiogenic, and/or proapoptotic effects. Sorafenib has shown antitumor activity in phase II/III trials involving patients with advanced renal cell carcinoma and hepatocellular carcinoma. The multiple molecular targets of sorafenib (the serine/threonine kinase Raf and receptor tyrosine kinases) may explain its broad preclinical and clinical activity. This review highlights the antitumor activity of sorafenib across a variety of tumor types, including renal cell, hepatocellular, breast, and colorectal carcinomas in the preclinical setting. In particular, preclinical evidence that supports the different mechanisms of action of sorafenib is discussed.
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            Anlotinib inhibits angiogenesis via suppressing the activation of VEGFR2, PDGFRβ and FGFR1

            Tumor cells recruit vascular endothelial cells and circulating endothelial progenitor cells to form new vessels to support their own growth and metastasis. VEGF, PDGF-BB and FGF-2 are three major pro-angiogenic factors and applied to promote angiogenesis. In this research, we demonstrated that anlotinib, a potent multi-tyrosine kinases inhibitor (TKI), showed a significant inhibitory effect on VEGF/PDGF-BB/FGF-2-induced angiogenesis in vitro and in vivo. Wound healing assay, chamber directional migration assay and tube formation assay indicated that anlotinib inhibited VEGF/PDGF-BB/FGF-2-induced cell migration and formation of capillary-like tubes in endothelial cells. Furthermore, anlotinib suppressed blood vessels sprout and microvessel density in rat aortic ring assay and chicken chorioallantoic membrane (CAM) assay. Importantly, according to our study, the anti-angiogenic effect of anlotinib is superior to sunitinib, sorafenib and nintedanib, which are three main anti-angiogenesis drugs in clinic. Mechanistically, anlotinib inhibits the activation of VEGFR2, PDGFRβ and FGFR1 as well their common downstream ERK signaling. Therefore, anlotinib is a potential agent to inhibit angiogenesis and be applied to tumor therapy.
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              Effects of sirolimus on plasma lipids, lipoprotein levels, and fatty acid metabolism in renal transplant patients.

              Sirolimus (Rapammune, rapamycin, RAPA) is a potent immunosuppressive drug that reduces renal transplant rejection. Hyperlipidemia is a significant side effect of sirolimus treatment, and frequently leads to cardiovascular disease. This study was undertaken to determine the repeatability, reversibility, and dose dependence of the plasma lipid and apolipoprotein altering effects of sirolimus, and to elucidate the mechanism by which sirolimus induces hypertriglyceridemia in some renal transplant patients. Six patients with renal allografts maintained on cyclosporine A and prednisone were selected on the basis of their previous hyperlipidemic response to short term (14 days) sirolimus administration. For longer-term treatment, each patient was started on 10 mg/day sirolimus and continued as tolerated for 42 days to reinduce hyperlipidemia. Timed blood samples were analyzed for lipid, apolipoprotein, and sirolimus levels. During sirolimus administration, mean total plasma cholesterol increased from 214 mg/dl to 322 mg/dl (+50%; range 25-92%); LDL-cholesterol levels followed a similar pattern. Mean triglyceride level rose from 227 to 432 mg/dl (+95%; range 9-254%). ApoB-100 concentration rose from 124 to 160 mg/dl (+28%; P < 0.05). ApoC-III level increased from 28.9 to 55.5 mg/dl, +92%; (P < 0.013). These lipid and apolipoprotein changes were found to be repeatable, reversible, and dose dependent. [(13)C(4)]palmitate metabolic studies in four patients with hypertriglyceridemia indicated that the free fatty acid pool was expanded by sirolimus treatment (mean = 42.3%). Incorporation of [(13)C(4)]palmitate into triglycerides of VLDL, IDL, and LDL was decreased 38.3%, 42,1%, and 38.4%, respectively, by sirolimus treatment of these patients. These results suggest that sirolimus alters the insulin signaling pathway so as to increase adipose tissue lipase activity and/or decrease lipoprotein lipase activity, resulting in increased hepatic synthesis of triglyceride, increased secretion of VLDL, and increased hypertriglyceridemia.
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                Author and article information

                Contributors
                Journal
                Cancer Biol Med
                Cancer Biol Med
                CBM
                Cancer Biology & Medicine
                Chinese Anti-Cancer Association (Tianjing China )
                2095-3941
                November 2018
                : 15
                : 4
                : 443-451
                Affiliations
                [1 ] Department of Pulmonary Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
                [2 ] Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai 230030, China
                [3 ] Department of Medical Oncology, Henan Province Tumor Hospital, Zhengzhou 450008, China
                [4 ] Department of Respiratory Medicine, Peking Union Medical College Hospital, Beijing 100730 China
                [5 ] Department of Medical Oncology, Linyi Cancer Hospital, Linyi 276001, China
                [6 ] Department of Internal Medicine, Shandong Cancer Hospital, Jinan 250117, China
                [7 ] Department of Thoracic Oncology, Jilin Cancer Hospital, Changchun 130012, China
                [8 ] Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
                [9 ] Department of Medical Oncology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing 100021, China
                [10 ] Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China
                [11 ] Department of Respiratory Medicine, Lanzhou Military General Hospital, Lanzhou 730050, China
                [12 ] Department of Head and Neck Oncology, Hunan Cancer Hospital, Changsha 220633, China
                [13 ] Department of Chemotherapy, Qilu Hospital of Shandong University, Jinan 250000, China
                [14 ] Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
                [15 ] Department of Respiratory and Critical Diseases, Tang Du Hospital, Xi'an 710038, China
                [16 ] Department of Oncology, Yunnan Cancer Hospital, Kunming 650032, China
                [17 ] General Department, Capital Medical University Beijing Chest Hospital, Beijing 101149, China
                Author notes
                Baohui Han, E-mail: xkyyhan@ 123456gmail.com
                Dr. Kai Li, E-mail: likai_fnk@ 123456l63.com

                *The authors contributed equally to this work.

                Article
                cbm-15-4-443
                10.20892/j.issn.2095-3941.2018.0158
                6372914
                30766754
                cceba680-069f-4297-8875-4df39d6232f0
                Copyright 2017 Cancer Biology & Medicine

                This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                : 3 July 2018
                : 30 October 2018
                Categories
                Original Article

                non-small cell lung cancer,anlotinib,third- or further-line therapy,prognostic factor analysis

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