P. S. Ramapraba^1,*, P. Epsiba², K. Umapathy³, E. Sivanantham⁴

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2177-2189, 2023, DOI:10.32604/iasc.2023.032040

Abstract The classification of lung nodules is a challenging problem as the visual analysis of the nodules and non-nodules revealed homogenous textural patterns. In this work, an Auxiliary Classifier (AC)-Generative Adversarial Network (GAN) based Lung Cancer Classification (LCC) system is developed. The proposed AC-GAN-LCC system consists of three modules; preprocessing, Lungs Region Detection (LRD), and AC-GAN classification. A Wiener filter is employed in the preprocessing module to remove the Gaussian noise. In the LRD module, only the lung regions (left and right lungs) are detected using iterative thresholding and morphological operations. In order to extract the lung region only, flood filling… More >

YUANYUAN HUANG^#, HONGMEI WU^#, RUYUAN LIU, SONG JIN, WEILAI XIANG, CHANG YANG, LI XU, XIAONIAN ZHU^*

BIOCELL, Vol.47, No.3, pp. 445-454, 2023, DOI:10.32604/biocell.2023.025880

Abstract The tripartite motif (TRIMs) protein family has E3 ubiquitin ligase activity among most of its members. They participate in multiple cellular processes and signaling pathways in living organisms, including cell cycle, growth, and metabolism, and mediate chromatin modification, transcriptional regulation, post-translational modification, and cellular autophagy. Previous studies have confirmed that the TRIMs protein family is involved in the development of various cancers and correlated with the prognosis of tumor patients. Here we summarize the biological roles of the TRIMs protein family in cancers. More >

Jiajian Shi¹, Yuchen Chen^1,*, Chentai Peng¹, Linwu Kuang², Zitong Zhang¹, Yangkai Li^2,*, Kun Huang¹

Oncologie, Vol.24, No.4, pp. 613-648, 2022, DOI:10.32604/oncologie.2022.027545

Abstract The incidence and mortality of lung cancer rank top three of all cancers worldwide. Accounting for 85% of the total number of lung cancer, non-small cell lung cancer (NSCLC) is an important factor endangering human health. Recently, targeted therapies against driver mutations and epigenetic alterations have made encouraging advances that benefit NSCLC patients. Druggable driver mutations, which mainly occur in EGFR, KRAS, MET, HER2, ALK, ROS1, RET and BRAF, have been identified in more than a quarter of NSCLC patients. A series of highly selective mutant targeting inhibitors, such as EGFR tyrosine kinase inhibitors and KRAS inhibitors, have been well… More >

RUI ZHOU^#, JIANYANG XU^#, LINGWEI WANG^*, JIANXIN LI^*

Oncology Research, Vol.29, No.6, pp. 411-423, 2021, DOI:10.32604/or.2022.026236

Abstract Long noncoding RNAs (lncRNAs) act as key regulators controlling complex cellular behaviors in nonsmall cell lung cancer (NSCLC). We investigated the expression of lncRNA PRRT3 antisense RNA 1 (PRRT3-AS1) in paired samples of NSCLC and adjacent normal tissues from a patient cohort in our hospital using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and found that it was significantly higher in NSCLC tissue than in normal tissue, consistent with The Cancer Genome Atlas database. Furthermore, functional investigation revealed that lncRNA PRRT3-AS1 depletion inhibited NSCLC-cell proliferation, colony formation, invasion, and migration, whereas its overexpression exerted the opposite effects. Moreover, PRRT3-AS1… More >

HUALIANG LV^1,#,*, CHANGCHUN LAI^2,#, WENQU ZHAO³, YIBO SONG¹

Oncology Research, Vol.29, No.6, pp. 401-409, 2021, DOI:10.32604/or.2022.025262

Abstract It has been certified that GABPB1-AS1 is aberrantly expressed and plays as a vital role in some kinds of cancers. However, its expression pattern and functions in non-small cell lung cancer (NSCLC) are still largely unknown. This study aims to assess GABPB1-AS1 expression and biological roles in NSCLC. The expression of GABPB1-AS1 was detected in NSCLC specimens and adjacent normal specimens. CCK8 and Transwell assays were performed to evaluate the effects of GABPB1-AS1 on NSCLC cell proliferation, migration and invasion. Bioinformatics tools and luciferase reporter assays were applied to predict and verify GABPB1-AS1’s direct targets. The results revealed that GABPB1-AS1… More >

K. Jagadeesh^1,*, A. Rajendran²

Computer Systems Science and Engineering, Vol.45, No.2, pp. 2017-2032, 2023, DOI:10.32604/csse.2023.029169

Abstract Lung Cancer is one of the hazardous diseases that have to be detected in earlier stages for providing better treatment and clinical support to patients. For lung cancer diagnosis, the computed tomography (CT) scan images are to be processed with image processing techniques and effective classification process is required for appropriate cancer diagnosis. In present scenario of medical data processing, the cancer detection process is very time consuming and exactitude. For that, this paper develops an improved model for lung cancer segmentation and classification using genetic algorithm. In the model, the input CT images are pre-processed with the filters called… More >

Subramanian Kanageswari¹, D. Gladis², Irshad Hussain^3,*, Sultan S. Alshamrani⁴, Abdullah Alshehri⁵

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 415-428, 2023, DOI:10.32604/iasc.2023.032053

Abstract One of the leading cancers for both genders worldwide is lung cancer. The occurrence of lung cancer has fully augmented since the early 19th century. In this manuscript, we have discussed various data mining techniques that have been employed for cancer diagnosis. Exposure to air pollution has been related to various adverse health effects. This work is subject to analysis of various air pollutants and associated health hazards and intends to evaluate the impact of air pollution caused by lung cancer. We have introduced data mining in lung cancer to air pollution, and our approach includes preprocessing, data mining, testing… More >

Iftikhar Naseer^1,*, Tehreem Masood¹, Sheeraz Akram¹, Arfan Jaffar¹, Muhammad Rashid², Muhammad Amjad Iqbal³

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2039-2054, 2023, DOI:10.32604/cmc.2023.032927

Abstract Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung. It is mostly caused by the instinctive growth of cells in the lung. Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography (CT) scan images. Early detection plays an important role in the survival rate and treatment of lung cancer patients. Moreover, pulmonary nodule classification techniques based on the convolutional neural network can be used for the accurate and efficient detection of lung cancer. This work proposed an automatic nodule detection method in CT… More >

Li Xu, Kang Li, Jia Li, Liyu Liu, Fang Xu, Yan Xu, Yi Kong, Xingxiang Pu, Qianzhi Wang, Jingyi Wang, Bolin Chen^*, Lin Wu^*

Oncologie, Vol.24, No.3, pp. 579-590, 2022, DOI:10.32604/oncologie.2022.022121

Abstract Background: Non-small cell lung cancer (NSCLC), caused by abnormal gene drive, may have primary drug resistance after treatment with tyrosine kinase inhibitors (EGFR-TKIs). Therefore, we explore whether the primary drug-resistant NSCLC treated with EGFR-TKI is related to the miR-21/Sonic Hedgehog (SHH)/PI3K/AKT pathway. Methods: The patients from our hospital who meet the AJCC TNM staging (7th edition) stage IIIB and stage IV NSCLC were selected in this case study. Thereafter, the treatment response of EGFR-TKIs was evaluated according to the solid tumor efficacy evaluation standard (version 1.1). The patients were divided into the EGFR-TKIs primary drug resistance group (EGFR-TKIs-Primary-R) and the… More >

Sindhuja Manickavasagam^1,*, Poonkuzhali Sugumaran²

Computer Systems Science and Engineering, Vol.45, No.1, pp. 939-953, 2023, DOI:10.32604/csse.2023.030491

Abstract The combination of machine learning (ML) approaches in healthcare is a massive advantage designed at curing illness of millions of persons. Several efforts are used by researchers for detecting and providing primary phase insights as to cancer analysis. Lung cancer remained the essential source of disease connected mortality for both men as well as women and their frequency was increasing around the world. Lung disease is the unrestrained progress of irregular cells which begin off in one or both Lungs. The previous detection of cancer is not simpler procedure however if it can be detected, it can be curable, also… More >