scholarly journals Systemic Platelet-activating Factor Receptor Activation Augments Experimental Lung Tumor Growth and Metastasis

2014 ◽  
Vol 7 ◽  
pp. CGM.S14501 ◽  
Author(s):  
Patrick C. Hackler ◽  
Sarah Reuss ◽  
Raymond L. Konger ◽  
Jeffrey B. Travers ◽  
Ravi P. Sahu
Keyword(s):  
Lung Cancer ◽  
Tumor Growth ◽  
Cancer Progression ◽  
Lung Tumor ◽  
Platelet Activating Factor ◽  
Receptor Activation ◽  
Dependent Manner ◽  
Melanoma Tumor ◽  
Tumor Growth And Metastasis ◽  
The Impact

Pro-oxidative stressors including cigarette smoke (CS) generate novel lipids with platelet-activated factor-receptor (PAF-R) agonistic activity mediate systemic immunosuppression, one of the most recognized events in promoting carcinogenesis. Our previous studies have established that these oxidized-PAF-R-agonists augment murine B16F10 melanoma tumor growth in a PAF-R-dependent manner because of its effects on host immunity. As CS generates PAF-R agonists, the current studies sought to determine the impact of PAF-R agonists on lung cancer growth and metastasis. Using the murine Lewis Lung Carcinoma (LLC1) model, we demonstrate that treatment of C57BL/6 mice with a PAF-R agonist augments tumor growth and lung metastasis in a PAF-R-dependent manner as these findings were not seen in PAF-R-deficient mice. Importantly, this effect was because of host rather than tumor cells PAF-R dependent as LLC1 cells do not express functional PAF-R. These findings indicate that experimental lung cancer progression can be modulated by the PAF system.

Recombinant adeno-associated virus 9-mediated expression of Kallistatin suppresses lung tumor growth in mice

2020 ◽  
Vol 20 ◽  
Author(s):  
Weihong Qu ◽  
Jianguo Zhao ◽  
Yaqing Wu ◽  
Ruian Xu ◽  
Shaowu Liu
Keyword(s):  
Lung Cancer ◽  
Gene Therapy ◽  
Tumor Growth ◽  
Lung Tumor ◽  
Control Group ◽  
High Dose ◽  
Blank Control Group ◽  
Adeno Associated Virus ◽  
Tumor Tissues ◽  
Subcutaneous Xenograft

Background:: Lung cancer remains the most common cause of cancer-related deaths in China and worldwide. Traditional surgery and chemotherapy do not offer an effective cure although gene therapy may be a promising future alter-native. Kallistatin (Kal) is an endogenous inhibitor of angiogenesis and tumorigenesis. Recombinant adeno-associated virus (rAAV) is considered the most promising vector for gene therapy of many diseases due to persistent and long-term transgen-ic expression. Objective:: The aim of this study was to investigate whether rAAV9-Kal inhibited NCI-H446 subcutaneous xenograft tumor growth in mice. Method:: The subcutaneous xenograft mode were induced by subcutaneous injection of 2×106 H446 cells into the dorsal skin of BALB/c nude mice. The mice were administered with ssrAAV9-Kal (single-stranded rAAV9) or dsrAAV9-Kal (double-stranded rAAV9）by intraperitoneal injection (I.P.). Tumor microvessel density (MVD) was examined by anti-CD34 stain-ing to evaluate tumor angiogenesis. Results:: Compared with the PBS (blank control) group, tumor growth in the high-dose ssrAAV9-Kal group was inhibited by 40% by day 49, and the MVD of tumor tissues was significantly decreased. Conclusion:: The results indicate that this therapeutic strategy is a promising approach for clinical cancer therapy and impli-cate rAAV9-Kal as a candidate for gene therapy of lung cancer.

scholarly journals POU2F2 promotes the proliferation and motility of lung cancer cells by activating AGO1

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ronggang Luo ◽  
Yi Zhuo ◽  
Quan Du ◽  
Rendong Xiao
Keyword(s):  
Lung Cancer ◽  
Tumor Growth ◽  
Cancer Cells ◽  
Cancer Progression ◽  
Human Lung ◽  
Lung Cancer Cells ◽  
Human Lung Cancer ◽  
Cancer Tissues

Abstract Background To detect and investigate the expression of POU domain class 2 transcription factor 2 (POU2F2) in human lung cancer tissues, its role in lung cancer progression, and the potential mechanisms. Methods Immunohistochemical (IHC) assays were conducted to assess the expression of POU2F2 in human lung cancer tissues. Immunoblot assays were performed to assess the expression levels of POU2F2 in human lung cancer tissues and cell lines. CCK-8, colony formation, and transwell-migration/invasion assays were conducted to detect the effects of POU2F2 and AGO1 on the proliferaion and motility of A549 and H1299 cells in vitro. CHIP and luciferase assays were performed for the mechanism study. A tumor xenotransplantation model was used to detect the effects of POU2F2 on tumor growth in vivo. Results We found POU2F2 was highly expressed in human lung cancer tissues and cell lines, and associated with the lung cancer patients’ prognosis and clinical features. POU2F2 promoted the proliferation, and motility of lung cancer cells via targeting AGO1 in vitro. Additionally, POU2F2 promoted tumor growth of lung cancer cells via AGO1 in vivo. Conclusion We found POU2F2 was highly expressed in lung cancer cells and confirmed the involvement of POU2F2 in lung cancer progression, and thought POU2F2 could act as a potential therapeutic target for lung cancer.

scholarly journals Kras-driven intratumoral heterogeneity triggers infiltration of M2 polarized macrophages via the circHIPK3/PTK2 immunosuppressive circuit

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Theodora Katopodi ◽  
Savvas Petanidis ◽  
Kalliopi Domvri ◽  
Paul Zarogoulidis ◽  
Doxakis Anestakis ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Growth ◽  
Lung Tumor ◽  
Quantitative Polymerase Chain Reaction ◽  
Macrophage Polarization ◽  
Metastatic Potential ◽  
Intratumoral Heterogeneity ◽  
M2 Macrophage

AbstractIntratumoral heterogeneity in lung cancer is essential for evasion of immune surveillance by tumor cells and establishment of immunosuppression. Gathering data reveal that circular RNAs (circRNAs), play a role in the pathogenesis and progression of lung cancer. Particularly Kras-driven circRNA signaling triggers infiltration of myeloid-associated tumor macrophages in lung tumor microenvironment thus establishing immune deregulation, and immunosuppression but the exact pathogenic mechanism is still unknown. In this study, we investigate the role of oncogenic Kras signaling in circRNA-related immunosuppression and its involvement in tumoral chemoresistance. The expression pattern of circRNAs HIPK3 and PTK2 was determined using quantitative polymerase chain reaction (qPCR) in lung cancer patient samples and cell lines. Apoptosis was analyzed by Annexin V/PI staining and FACS detection. M2 macrophage polarization and MDSC subset analysis (Gr1−/CD11b−, Gr1−/CD11b+) were determined by flow cytometry. Tumor growth and metastatic potential were determined in vivo in C57BL/6 mice. Findings reveal intra-epithelial CD163+/CD206+ M2 macrophages to drive Kras immunosuppressive chemoresistance through myeloid differentiation. In particular, monocytic MDSC subsets Gr1−/CD11b−, Gr1−/CD11b+ triggered an M2-dependent immune response, creating an immunosuppressive tumor-promoting network via circHIPK3/PTK2 enrichment. Specifically, upregulation of exosomal cicHIPK3/PTK2 expression prompted Kras-driven intratumoral heterogeneity and guided lymph node metastasis in C57BL/6 mice. Consequent co-inhibition of circPTK2/M2 macrophage signaling suppressed lung tumor growth along with metastatic potential and prolonged survival in vivo. Taken together, these results demonstrate the key role of myeloid-associated macrophages in sustaining lung immunosuppressive neoplasia through circRNA regulation and represent a potential therapeutic target for clinical intervention in metastatic lung cancer.

scholarly journals Targeted inhibition of GRP78 by HA15 promotes apoptosis of lung cancer cells accompanied by ER stress and autophagy

Biology Open ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. bio053298
Author(s):  
Jingjing Wu ◽  
Youqile Wu ◽  
Xuemei Lian
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Cell Viability ◽  
Er Stress ◽  
Cancer Cells ◽  
Lung Tumor ◽  
Lung Cancer Cells ◽  
Dependent Manner ◽  
Mice Model ◽  
Targeted Inhibition

ABSTRACTThis study investigated the pathophysiological role of GRP78 in the survival of lung cancer cells. Lung cancer patient data from public databases were used to analyze the expression of GRP78 and its influence on prognoses. In vivo, GRP78 protein expression was analyzed in an established urethane-induced lung tumor mouse model. In vitro, the effects of targeted inhibition of GRP78 by HA15 in lung cancer cells were assessed, with cell viability analyzed using a CCK-8 assay, cell proliferation using an EdU assay, apoptosis and cell cycle using flow cytometry, subcellular structure using electron microscopy, and relative mRNA and protein expression using RT-PCR, western blotting or immunofluorescence assays. The results showed that GRP78 was highly expressed in the lung tissue of lung cancer mice model or patients, and was associated with a poor prognosis. After inhibition of GRP78 in lung cancer cells by HA15, cell viability was decreased in a dose- and time-dependent manner, proliferation was suppressed and apoptosis promoted. Unfolded protein response signaling pathway proteins were activated, and the autophagy-related proteins and mRNAs were upregulated. Therefore, targeted inhibition of GRP78 by HA15 promotes apoptosis of lung cancer cells accompanied by ER stress and autophagy.

scholarly journals Differential Impacts of Insulin-Like Growth Factor-Binding Protein-3 (IGFBP-3) in Epithelial IGF-Induced Lung Cancer Development

Endocrinology ◽  
2011 ◽  
Vol 152 (6) ◽  
pp. 2164-2173 ◽  
Author(s):  
Woo-Young Kim ◽  
Mi-Jung Kim ◽  
Hojin Moon ◽  
Ping Yuan ◽  
Jin-Soo Kim ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Tumor ◽  
Binding Protein ◽  
Cancer Development ◽  
Lung Carcinogenesis ◽  
Tobacco Carcinogen ◽  
Igf I ◽  
The Impact ◽  
Igfbp 3

The IGF axis has been implicated in the risk of various cancers. We previously reported a potential role of tissue-derived IGF in lung tumor formation and progression. However, the role of IGF-binding protein (IGFBP)-3, a major IGFBP, on the activity of tissue-driven IGF in lung cancer development is largely unknown. Here, we show that IGF-I, but not IGF-II, protein levels in non-small-cell lung cancer (NSCLC) were significantly higher than those in normal and hyperplastic bronchial epithelium. We found that IGF-I and IGFBP-3 levels in NSCLC tissue specimens were significantly correlated with phosphorylated IGF-IR (pIGF-IR) expression. We investigated the impact of IGFBP-3 expression on the activity of tissue-driven IGF-I in lung cancer development using mice carrying lung-specific human IGF-I transgene (Tg), a germline-null mutation of IGFBP-3, or both. Compared with wild-type (BP3+/+) mice, mice carrying heterozygous (BP3+/−) or homozygous (BP3−/−) deletion of IGFBP-3 alleles exhibited decreases in circulating IGFBP-3 and IGF-I. Unexpectedly, IGFTg mice with 50% of physiological IGFBP-3 (BP3+/−; IGFTg) showed higher levels of pIGF-IR/IR and a greater degree of spontaneous or tobacco carcinogen [4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone]-induced lung tumor development and progression than did the IGFTg mice with normal (BP3+/+;IGFTg) or homozygous deletion of IGFBP-3 (BP3−/−; IGFTg). These data show that IGF-I is overexpressed in NSCLC, leading to activation of IGF-IR, and that IGFBP-3, depending on its expression level, either inhibits or potentiates IGF-I actions in lung carcinogenesis.

scholarly journals PKCδ Mediates Mineralocorticoid Receptor Activation by Angiotensin II to Modulate Smooth Muscle Cell Function

Endocrinology ◽  
2019 ◽  
Vol 160 (9) ◽  
pp. 2101-2114 ◽  
Author(s):  
Qing Lu ◽  
Ana P Davel ◽  
Adam P McGraw ◽  
Sitara P Rao ◽  
Brenna G Newfell ◽  
...  
Keyword(s):  
Smooth Muscle ◽  
Angiotensin Ii ◽  
Mineralocorticoid Receptor ◽  
Target Gene ◽  
Cell Function ◽  
Receptor Activation ◽  
Serine Phosphorylation ◽  
Dependent Manner ◽  
Responsive Element ◽  
The Impact

Abstract Angiotensin II (AngII) and the mineralocorticoid receptor (MR) ligand aldosterone both contribute to cardiovascular disorders, including hypertension and adverse vascular remodeling. We previously demonstrated that AngII activates MR-mediated gene transcription in human vascular smooth muscle cells (SMCs), yet the mechanism and the impact on SMC function are unknown. Using an MR-responsive element-driven transcriptional reporter assay, we confirm that AngII induces MR transcriptional activity in vascular SMCs and endothelial cells, but not in Cos1 or human embryonic kidney-293 cells. AngII activation of MR was blocked by the MR antagonist spironolactone or eplerenone and the protein kinase C-δ (PKCδ) inhibitor rottlerin, implicating both in the mechanism. Similarly, small interfering RNA knockdown of PKCδ in SMCs prevented AngII-mediated MR activation, whereas knocking down of MR blocked both aldosterone- and AngII-induced MR function. Coimmunoprecipitation studies reveal that endogenous MR and PKCδ form a complex in SMCs that is enhanced by AngII treatment in association with increased serine phosphorylation of the MR N terminus. AngII increased mRNA expression of the SMC-MR target gene, FKBP51, via an MR-responsive element in intron 5 of the FKBP51 gene. The impact of AngII on FKBP51 reporter activity and gene expression in SMCs was inhibited by spironolactone and rottlerin. Finally, the AngII-induced increase in SMC number was also blocked by the MR antagonist spironolactone and the PKCδ inhibitor rottlerin. These data demonstrate that AngII activates MR transcriptional regulatory activity, target gene regulation, and SMC proliferation in a PKCδ-dependent manner. This new mechanism may contribute to synergy between MR and AngII in driving SMC dysfunction and to the cardiovascular benefits of MR and AngII receptor blockade in humans.

scholarly journals Genetic Ablation of Cav1 Differentially Affects Melanoma Tumor Growth and Metastasis in Mice: Role of Cav1 in Shh Heterotypic Signaling and Transendothelial Migration

2012 ◽  
Vol 72 (9) ◽  
pp. 2262-2274 ◽  
Author(s):  
Franco Capozza ◽  
Casey Trimmer ◽  
Remedios Castello-Cros ◽  
Sanjay Katiyar ◽  
Diana Whitaker-Menezes ◽  
...  
Keyword(s):  
Tumor Growth ◽  
Transendothelial Migration ◽  
Melanoma Tumor ◽  
Genetic Ablation ◽  
Tumor Growth And Metastasis

scholarly journals Deep Learning Based Automated Orthotopic Lung Tumor Segmentation in Whole-Body Mouse CT-Scans

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4585
Author(s):  
Wouter R. P. H. van de Worp ◽  
Brent van der Heyden ◽  
Georgios Lappas ◽  
Ardy van Helvoort ◽  
Jan Theys ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Deep Learning ◽  
Tumor Growth ◽  
Tumor Volume ◽  
Learning Algorithm ◽  
Lung Tumor ◽  
Whole Body ◽  
Ct Scans ◽  
Therapeutic Effects ◽  
Deep Learning Algorithm

Lung cancer is the leading cause of cancer related deaths worldwide. The development of orthotopic mouse models of lung cancer, which recapitulates the disease more realistically compared to the widely used subcutaneous tumor models, is expected to critically aid the development of novel therapies to battle lung cancer or related comorbidities such as cachexia. However, follow-up of tumor take, tumor growth and detection of therapeutic effects is difficult, time consuming and requires a vast number of animals in orthotopic models. Here, we describe a solution for the fully automatic segmentation and quantification of orthotopic lung tumor volume and mass in whole-body mouse computed tomography (CT) scans. The goal is to drastically enhance the efficiency of the research process by replacing time-consuming manual procedures with fast, automated ones. A deep learning algorithm was trained on 60 unique manually delineated lung tumors and evaluated by four-fold cross validation. Quantitative performance metrics demonstrated high accuracy and robustness of the deep learning algorithm for automated tumor volume analyses (mean dice similarity coefficient of 0.80), and superior processing time (69 times faster) compared to manual segmentation. Moreover, manual delineations of the tumor volume by three independent annotators was sensitive to bias in human interpretation while the algorithm was less vulnerable to bias. In addition, we showed that besides longitudinal quantification of tumor development, the deep learning algorithm can also be used in parallel with the previously published method for muscle mass quantification and to optimize the experimental design reducing the number of animals needed in preclinical studies. In conclusion, we implemented a method for fast and highly accurate tumor quantification with minimal operator involvement in data analysis. This deep learning algorithm provides a helpful tool for the noninvasive detection and analysis of tumor take, tumor growth and therapeutic effects in mouse orthotopic lung cancer models.

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