Ashit Kumar Dutta^*

Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1007-1023, 2022, DOI:10.32604/iasc.2022.019778

Abstract In recent days, Internet of Things (IoT) based image classification technique in the healthcare services is becoming a familiar concept that supports the process of detecting cancers with Computer Tomography (CT) images. Lung cancer is one of the perilous diseases that increases the mortality rate exponentially. IoT based image classifiers have the ability to detect cancer at an early stage and increases the life span of a patient. It supports oncologist to monitor and evaluate the health condition of a patient. Also, it can decipher cancer risk marker and act upon them. The process of feature extraction and selection from… More >

N. Jayanthi^1,*, D. Manohari², Mohamed Yacin Sikkandar³, Mohamed Abdelkader Aboamer³, Mohamed Ibrahim Waly³, C. Bharatiraja⁴

Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1317-1329, 2022, DOI:10.32604/iasc.2022.018974

Abstract Lung cancer is a curable disease if detected early, and its mortality rate decreases with forwarding treatment measures. At first, an easy and accurate way to detect is by using image processing techniques on the cancer-affected images captured from the patients. This paper proposes a novel lung cancer detection method. Firstly, an adaptive median filter algorithm (AMF) is applied to preprocess those images for improving the quality of the affected area. Then, a supervised image edge detection algorithm (SIED) is presented to segment those images. Then, feature extraction is employed to extract the mean, standard deviation, energy, contrast, etc., of… More >

R. Sujitha^*, B. Paramasivan

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1557-1572, 2022, DOI:10.32604/cmc.2022.019323

Abstract With the modernization of machine learning techniques in healthcare, different innovations including support vector machine (SVM) have predominantly played a major role in classifying lung cancer, predicting coronavirus disease 2019, and other diseases. In particular, our algorithm focuses on integrated datasets as compared with other existing works. In this study, parallel-based SVM (P-SVM) and multiclass-based multiple submodels (MMSM-SVM) were used to analyze the optimal classification of lung diseases. This analysis aimed to find the optimal classification of lung diseases with id and stages, such as key-value pairs in MapReduce combined with P-SVM and MMSVM for binary and multiclasses, respectively. For… More >

Chandrasekar Thaventhiran, K. R. Sekar^*

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 495-506, 2022, DOI:10.32604/iasc.2022.019546

Abstract Prediction of lung cancer at early stages is essential for diagnosing and prescribing the correct treatment. With the continuous development of medical data in healthcare services, Lung cancer prediction is the most concerning area of interest. Therefore, early prediction of cancer helps in reducing the mortality rate of humans. The existing techniques are time-consuming and have very low accuracy. The proposed work introduces a novel technique called Target Projection Feature Matched Deep Artificial Neural Network with LSTM (TPFMDANN-LSTM) for accurate lung cancer prediction with minimum time consumption. The proposed deep learning model consists of multiple layers to learn the given… More >

Chunya Hu, Yu He^*

Oncologie, Vol.23, No.2, pp. 241-250, 2021, DOI:10.32604/Oncologie.2021.015828

Abstract Objective: The aim of the present study was to investigate the anti-tumor effects of formononetin on human nonsmall cell lung cancer (NSCLC) and its potential molecular mechanism. Methods: A549 cells were treated with different concentrations of formononetin, then detected the cell proliferation, apoptosis and the expression of HIPK2 respectively by MTT assay, flow cytometry analysis and RT-qPCR. Then the interaction between miR- 27a-3p and its target gene HIPK2 was verified through luciferase reporter assay. The expression of miR-27a- 3p, HIPK2, and p53 was detected after being treated with different formononetin concentrations by RT-qPCR and western blot. Results: The results showed… More >

WEIGAO ZHONG^1,*, AIQIN CHEN², XIAOHONG TANG¹, YI LIU¹

BIOCELL, Vol.45, No.4, pp. 901-910, 2021, DOI:10.32604/biocell.2021.08672

Abstract Earlier studies indicated that circular RNAs (circRNAs) were found in various cancer cells, and circFOXM1 was reported to act as an oncogene in non-small cell lung cancer (NSCLC). However, the function of circFOXM1 in NSCLC remains unclear. The expression levels of genes were measured using quantitative real-time polymerase chain reactions (qRT-PCR). Cell proliferation and apoptosis were determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide solution (MTT) and flow cytometry assay. The relative protein expression was assessed by western blot. Moreover, transwell assays were employed to examine cell migration and invasion. The targeted relationship was confirmed by dual-luciferase reporter assay. The expression of circFOXM1 was… More >

DAN ZHANG¹, HAIJING LIU¹, ZHENNAN YI², YUANYUAN LU³, YANYAN CHEN⁴, WEIQIANG SU², HUIBING LIN², ZHIHUI ZHANG^5,*, WEI LEI^6,*

BIOCELL, Vol.45, No.3, pp. 617-625, 2021, DOI:10.32604/biocell.2021.012504

Abstract Chemotherapy drug resistance is the main cause leading to the relapse and metastasis of non-small cell lung cancer (NSCLC) patients. Our study aimed to investigate the mechanism of pemetrexed resistance in NSCLC. Firstly, the pemetrexed (PEM)-resistant PC-9 and A549 lung adenocarcinoma cell lines (PC-9/PEM and A549/PEM) were established. The expression of thymidylate synthase (TS) in PC-9/PEM, A549/PEM, A549, and PC-9 cells were analyzed by qRT-PCR and western blot. Then, cell viability, colony formation, migration, and invasion were performed on PEM-resistant cells transfected with TS siRNA. The role of EGFR in PEM resistance of PEM-resistant cells was investigated using EGFR siRNA.… More >

JUNQI GUO^1,2,#, YUN YANG^1,2,#, WEI ZHAO^1,2, ZHONGHAI YAN³, XIA YANG⁴, YUNFEI YAN^1,2, RUIMIN HAO^1,2, JINXIA HU^1,2,*, FEI JIAO^1,2,*

BIOCELL, Vol.45, No.3, pp. 627-638, 2021, DOI:10.32604/biocell.2021.013496

Abstract Increasing evidence indicates that aberrant expressions of some microRNAs are associated with cancer progression. However, the roles and biological mechanisms of miRNA-16-5p in human non-small cell lung cancer (NSCLC) are not to be well studied. Here, we validated that the expression of miR-16-5p was decreased significantly in NSCLC samples and cell lines. The correlation between the clinicopathological features of NSCLC and the miR-16- 5p expression showed that the expression of miR-16-5p in non-small cell lung cancer was linked with the advanced TNM stage, positive lymph node metastasis, with short overall survival (OS). Also, a negative correlation between miR-16-5p and Fermitin… More >

JI ZHU^#, XIYING BO^#, GENGXI JIANG, SHIHUA YAO, TIEJUN ZHAO^*, LING CHEN^*

BIOCELL, Vol.45, No.3, pp. 639-647, 2021, DOI:10.32604/biocell.2021.012847

Abstract Non-small cell lung cancer (NSCLC) cells intake and consume glucose at high efficiency by aerobic glycolysis to maintain robust cell growth and resist cell death. MicroRNAs (miRNAs) have been known to play pivotal roles in NSCLC development partly through mediating glycolysis. However, only a few miRNAs have been experimentally confirmed as critical regulators of glycolysis in NSCLC. TCGA datasets were analyzed to screen for differentially expressed miRNAs between NSCLC and normal tissues. The function of miR-1294-5p was determined in NSCLC cells by cell proliferation, glucose uptake, lactate release, and Extracellular Acidification Rate (ECAR) assays. The target of miR- 1294-5p was… More >

LITING YOU^1,#, FEIFEI NA^2,#, JUAN ZHOU³, LIN JIAO³, YI ZHOU^3,*, BINWU YING^3,*

BIOCELL, Vol.45, No.3, pp. 649-663, 2021, DOI:10.32604/biocell.2021.013978

Abstract Reviews The Dectin-1 cluster comprises seven members: CLEC-12A, CLEC-12B, CLEC-1A, CLEC-7A, CLEC- 2, CLEC-9A and OLR1. These members have been demonstrated to be involved in the tumorigenesis, progression, and metastasis of several cancers. However, little is known about their roles in human lung adenocarcinoma (LUAD). The expression patterns of the Dectin-1 cluster were analyzed via the ONCOMINE and GEPIA databases. We evaluated the prognostic value of the Dectin-1 cluster in patients with LUAD using the Kaplan-Meier plotter and GEPIA. Differential expression was validated with the EMBL-EBI database, and protein expression was analyzed with the HPA database. In addition, protein-protein interaction… More >