IRX4204 in combination with erlotinib to target distinct pathways in lung cancer cells.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14095-e14095 ◽  
Author(s):  
Xi Liu ◽  
Jason Roszik ◽  
Masanori Karakami ◽  
Martin Sanders ◽  
Rosh Chandraratna ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Mrna Level ◽  
Cancer Cell Lines ◽  
Clinical Activity ◽  
Lung Cancer Cell ◽  
Ampk Signaling ◽  
Phosphorylated Akt

e14095 Background: IRX4204 is a Retinoid X Receptor (RXR) specific agonist (rexinoid). IRX4204 has high potency as a RXR agonist with low binding affinity to Retinoic Acid Receptors (RARs), PPAR, FXR or LXR. Our prior work with the less specific rexinoid bexarotene and erlotinib showed clinical activity in patients with lung cancer cases that harbored KRAS mutations. IRX4204 inhibits lung cancer cell proliferation and can chemoprevent carcinogen-induced lung cancers in mice. We sought to explore the underlying mechanisms engaged by the combination of IRX4204 and erlotinib. Materials and Methods: Human (H1703 and HOP62) and murine (ED1 and LKR13) lung cancer cell lines were treated with IRX4204, erlotinib, IRX4204 plus erlotinib, or vehicle. Reverse phase protein array (RPPA) and mRNA microarray analyses were performed to analyze comprehensively for differentially expressed growth regulatory proteins. Results: Combination of IRX4204 and erlotinib suppressed proliferation of both KRAS mutant (HOP62 and LKR13) and wild-type (H1703 and ED1) lung cancer cell lines. Additive effect was observed as compared to IRX4204 or erlotinib treatment alone. Combining IRX4204 with erlotinib markedly increased inhibition of specific therapeutic targets including Src, phosphorylated Akt and ribosomal S6 proteins. At the mRNA level, Ingenuity Pathway Analysis of species significantly increased or decreased by the combination treatment revealed multiple pathways related to oncogenic signaling. Specifically, we found in H1703 cell line regulation of Granzyme A and AMPK signaling and in HOP62 cell line inhibition of angiogenesis was implicated by altering TSP1 expression. Notably, in ED1 cell line PPARα/RXRα activation, PTEN signaling, PI3K/AKT signaling, TGF-β signaling, and AMPK signaling were each associated with effects of IRX4204 combined with erlotinib. Conclusions: Taken together, these data highlight specific mechanisms and candidate pharmacodynamic biomarkers of response to the combination of this rexinoid and EGFR-TKI in lung cancer. Based on these findings, a clinical trial (NCT02991651) with IRX4204 in combination with erlotinib is underway to treat patients with chemotherapy-refractory non-small cell lung cancer.

Antiproliferative Activity of Protopine Extract from Fumaria agraria Against Human Lung Cancer Cell Lines

2021 ◽  
Author(s):  
K. Bougoffa-Sadaoui ◽  
F. Maiza-Benabdesselam ◽  
H. Ouadid-Ahidouch
Keyword(s):  
Lung Cancer ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Human Lung ◽  
Cancer Cell Lines ◽  
Human Lung Cancer ◽  
Lung Cancer Cell ◽  
Antitumor Effects ◽  
Fumaria Agraria

Little information is reported on the antitumor effects of isoquinoline alkaloids, particularly protopine, a major component of Fumaria agraria, on lung cancer. The purpose of our study is to determine the cytotoxic effect of protopine from an extraction by fractionation of the aerial part of Fumaria agraria on two lung cancer cell lines, NCI-H23 and NCI-H460. The basic fraction containing protopine (60.7%) has cytotoxicity to the two lung cancer cell lines studied here. The cell line NCI-H460 is more sensitive after 72 h of treatment by protopine with an IC50 of 08.5 ± 0.09 μMthan the cell line NCI-H23 (IC50 = 14.8 ± 0.03 μM).

scholarly journals A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hadi Hashemzadeh ◽  
Seyedehsamaneh Shojaeilangari ◽  
Abdollah Allahverdi ◽  
Mario Rothbauer ◽  
Peter Ertl ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Deep Learning ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Rapid Development ◽  
Cancer Cell Lines ◽  
Machine Learning Techniques ◽  
Lung Cancer Cell ◽  
Cad System

AbstractLung cancer is a leading cause of cancer death in both men and women worldwide. The high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of cancer-cells to organs and tissues by metastasis. Automated lung cancer detection and its sub-types classification from cell’s images play a crucial role toward an early-stage cancer prognosis and more individualized therapy. The rapid development of machine learning techniques, especially deep learning algorithms, has attracted much interest in its application to medical image problems. In this study, to develop a reliable Computer-Aided Diagnosis (CAD) system for accurately distinguishing between cancer and healthy cells, we grew popular Non-Small Lung Cancer lines in a microfluidic chip followed by staining with Phalloidin and images were obtained by using an IX-81 inverted Olympus fluorescence microscope. We designed and tested a deep learning image analysis workflow for classification of lung cancer cell-line images into six classes, including five different cancer cell-lines (P-C9, SK-LU-1, H-1975, A-427, and A-549) and normal cell-line (16-HBE). Our results demonstrate that ResNet18, a residual learning convolutional neural network, is an efficient and promising method for lung cancer cell-lines categorization with a classification accuracy of 98.37% and F1-score of 97.29%. Our proposed workflow is also able to successfully distinguish normal versus cancerous cell-lines with a remarkable average accuracy of 99.77% and F1-score of 99.87%. The proposed CAD system completely eliminates the need for extensive user intervention, enabling the processing of large amounts of image data with robust and highly accurate results.

scholarly journals Effect of cow colostrum, mare milk, and human milk on the viability of lung healthy and cancer cell lines

2021 ◽  
Keyword(s):  
Lung Cancer ◽  
Human Milk ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Line ◽  
Cancer Cell Lines ◽  
Lung Cancer Cell Line ◽  
Lung Cancer Cell ◽  
Healthy Lung

This study investigated the effects of lyophilized mare milk, human milk, and cow colostrum on both human lung cancer cell lines, called A549, and healthy lung cell lines, called MRC5. Mare milk, human milk, and cow colostrum varieties were applied to 6 replicates in both cell lines with lyophilized milk concentrations ranging from 50-3,200 ppm. The cell viability was monitored by optic microscopy and determined by the MTT test. ANOVA and Duncan's multiple range tests were used to analyze data. The results of this study indicated that the most effective milk type on reducing the A549 lung cancer cell line was human milk, followed by mare milk; however, cow colostrum showed little effect. It was observed that human milk and mare milk had anti-proliferative effects on lung cancer cell line at concentrations which were non-toxic to healthy lung cell line.

scholarly journals Nucleobindin-2 mRNA level is down regulated in KRAS-mutation lung cancer cell lines compared with EGFR/BRAF/KRAS wild-type lung cancer cell lines

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Sunaga Noriaki ◽  
Imai Hisao ◽  
Okada Junichi ◽  
Yamada Eijiro ◽  
Okada Shuichi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Kras Mutation ◽  
Mrna Level ◽  
Cancer Cell Lines ◽  
Wild Type ◽  
Lung Cancer Cell

scholarly journals MiR-9-1 Suppresses Cell Proliferation and Promotes Apoptosis by Targeting UHRF1 in Lung Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382110411
Author(s):  
Cheng-You Jia ◽  
Wei Xiang ◽  
Ji-Bin Liu ◽  
Geng-Xi Jiang ◽  
Feng Sun ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Proliferation ◽  
Cell Lines ◽  
Cancer Cell ◽  
Mrna Level ◽  
A549 Cells ◽  
Cancer Cell Lines ◽  
G1 Arrest ◽  
Lung Cancer Cell

Lung cancer is listed as the most common reason for cancer-related death all over the world despite diagnostic improvements and the development of chemotherapy and targeted therapies. MicroRNAs control both physiological and pathological processes including development and cancer. A microRNA-9 to 1 (miR-9 to 1) overexpression model in lung cancer cell lines was established and miR-9 to 1 was found to significantly suppress the proliferation rate in lung cancer cell lines, colony formation in vitro, and tumorigenicity in nude mice of A549 cells. Ubiquitin-like containing PHD and RING finger domains 1 (UHRF1) was then identified to direct target of miR-9 to 1. The inhibition of UHRF1 by miR-9 to 1 causes G1 arrest and p15, p16, and p21 were re-expressed in miR-9 to 1 group in mRNA level and protein level. Silence of UHRF1 expression in A549 cells resulted in the similar re-expression of p15, p16, p21 which is similar with miR-9 to 1 infection. Therefore, we concluded that UHRF1 is a new target for miR-9 to 1 to suppress cell proliferation by re-expression of tumor suppressors p15, p16, and p21 mediated by UHRF1.

scholarly journals Nucleobindin-2 mRNA level is down regulated in KRAS-mutation lung cancer cell lines compared with EGFR/BRAF/KRAS wild-type lung cancer cell lines

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Sunaga Noriaki ◽  
Imai Hisao ◽  
Okada Junichi ◽  
Yamada Eijiro ◽  
Okada Shuichi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Kras Mutation ◽  
Mrna Level ◽  
Cancer Cell Lines ◽  
Wild Type ◽  
Lung Cancer Cell

3D Cultivation of Lung Cancer Cell Lines

2018 ◽  
Author(s):  
JR Seiz ◽  
J Moyer ◽  
A Menke
Keyword(s):  
Lung Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Lines ◽  
Lung Cancer Cell ◽  
3D Cultivation

scholarly journals Expression profiling of lung cancer cell lines

10.1038/87074 ◽  
2001 ◽  
Vol 27 (S4) ◽  
pp. 53-53
Author(s):  
Priya Dayananth ◽  
Terri McClanahan ◽  
Ferdous Gheyas ◽  
Marco Hernandez ◽  
Wei Ding ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Expression Profiling ◽  
Cancer Cell Lines ◽  
Lung Cancer Cell

scholarly journals Failure of apoptosis and activation on NFκB by celecoxib and aspirin in lung cancer cell lines

2007 ◽  
Author(s):  
Angela Gradilone ◽  
Ida Silvestri ◽  
Susanna Scarpa ◽  
Stefania Morrone ◽  
Orietta Gandini ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Lines ◽  
Lung Cancer Cell
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