NAN TANG^1,#, YAJING ZHAN^1,#, JIAYAN MAO^2,#, ANKANG YIN¹, WEI WANG^3,*, JUAN WANG^3,*

BIOCELL, Vol.47, No.9, pp. 2009-2026, 2023, DOI:10.32604/biocell.2023.029269

Abstract Non-small cell lung cancer (NSCLC) is a malignant tumor with high incidence worldwide. Triptolide (TP), extracted from Tripterygium wilfordii Hook F, exhibits potent broad-spectrum antitumor activity. Although some mechanisms through which TP inhibits NSCLC are well understood, those that involve ribosomal proteins remain yet to be understood. In this study, the transcriptome and proteome were integrated and analyzed. Our data indicated ribosomal protein L4 (RPL4) to be a core hub protein in the protein-protein interaction network. RPL4 is overexpressed in NSCLC tissues and cells. Transfection with siRPL4 or TP treatment alone arrested the cell cycle in the G1 phase, induced… More > Graphic Abstract

LU SUN^1,2, HUAICHENG TAN¹, TING YU³, RUICHAO LIANG^4,*

Oncology Research, Vol.31, No.6, pp. 967-988, 2023, DOI:10.32604/or.2023.042309

Abstract Lung adenocarcinoma (LUAD) is the most common and deadliest subtype of lung cancer. To select more targeted and effective treatments for individuals, further advances in classifying LUAD are urgently needed. The number, type, and function of T cells in the tumor microenvironment (TME) determine the progression and treatment response of LUAD. Long noncoding RNAs (lncRNAs), may regulate T cell differentiation, development, and activation. Thus, our aim was to identify T cell-related lncRNAs (T cell-Lncs) in LUAD and to investigate whether T cell-Lncs could serve as potential stratifiers and therapeutic targets. Seven T cell-Lncs were identified to further establish the T… More >

PENGCHENG ZHANG^1,#,*, XINGLONG ZHANG^2,#, YONGFU ZHU³, YIYI CUI¹, JING XU⁴, WEIPING ZHANG^1,*

Oncology Research, Vol.31, No.6, pp. 937-953, 2023, DOI:10.32604/or.2023.030933

Abstract Polo-like kinase 1 (PLK1) plays a crucial role in cell mitosis and has been associated with necroptosis. However, the role of PLK1 and necroptosis in lung adenocarcinoma (LA) remains unclear. In this study, we analyzed The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression databases to evaluate the prognostic value and mechanistic role of PLK1 in LA. PLK1 was found to be highly expressed in LA and was positively associated with advanced disease staging and poor survival outcomes. Functional enrichment analysis showed that PLK1 was involved in cell mitosis, neurotransmitter transmission, and drug metabolism. Further analysis using single-sample gene set enrichment… More > Graphic Abstract

WEI DU¹, FANG YIN¹, YATING ZHONG¹, MINJIE LUO¹, ZHEN WANG², PENG LIN², QING LIU^2,*, HAN YANG^2,*

Oncology Research, Vol.31, No.6, pp. 929-936, 2023, DOI:10.32604/or.2023.030611

Abstract Non-small cell lung cancer (NSCLC) is a highly lethal cancer, and better treatments are urgently needed. Many studies have implicated circular RNAs (circRNAs) in the progression of multiple malignant tumors. Nonetheless, the functions of circRNAs in NSCLC remain unclear. To study new targets for the treatment of NSCLC, circRNA expression profiling was performed on NSCLC tissues and para-carcinoma nonmalignant tissues. RNA was isolated and used for circRNA sequencing. Biological studies were performed in vitro and in vivo to determine the functions of circRNAs in NSCLC, including their functions in cell proliferation and migration. How circRNAs function in NSCLC was explored… More > Graphic Abstract

AN-SOO JANG^*

BIOCELL, Vol.47, No.8, pp. 1703-1708, 2023, DOI:10.32604/biocell.2023.028975

Abstract Exposure to air pollutants such as PM₁₀, PM_2.5, PM_0.1, O₃, CO, NO₂, and SO₂, and biological pollutants are important factors causing the evolution and furtherance of obstructive lung diseases (OLD), including asthma and chronic obstructive pulmonary disease (COPD). Asthma is the most frequent chronic inflammatory airway disease, characterized by breathlessness, wheezing, chest tightness, and cough, together with the presence of exaggerated expiratory airflow fluctuation that varies over time. COPD is a heterogeneous lung condition characterized by chronic respiratory symptoms such as dyspnea, cough, expectoration, and/or exacerbations due to abnormalities of the airways and/or alveoli that cause persistent, often progressive, airflow… More >

WEI ZHAI^1,2, XIANG ZHENG², MENGYUAN LIU², QIURONG ZHAO², YUSHU ZHANG², YUQING LUO³, SHANSHAN FENG³, JINJING WANG³, XUEYING LI^2,*, MINGSONG WU^1,*

BIOCELL, Vol.47, No.8, pp. 1821-1833, 2023, DOI:10.32604/biocell.2023.027175

Abstract Objective: Endoplasmic reticulum-Golgi intermediate compartment 3 (ERGIC3) promotes cell proliferation and metastasis in lung cancer, but its molecular mechanism is unclear. Methods: The GLC-82 cells were randomly divided into the ERGIC3i group and the negative control group. The cells were transfected with ERGIC3 siRNA or control siRNA in the groups, respectively. The ERGIC3-interacting proteins expressed in cells or extracellularly were isolated by the immunoprecipitation method and detected by isobaric tags for relative and absolute quantitation and liquid chromatography-tandem mass spectrometry. The differentially expressed proteins were determined by bioinformatic methods. Results: After ERGIC3 knockdown, 88 extracellular differentially expressed proteins, 41 up-regulated… More >

DONGJIE SUN^1,2, CHI ZHANG^3,*

Oncology Research, Vol.31, No.5, pp. 753-767, 2023, DOI:10.32604/or.2023.029287

Abstract Lung adenocarcinoma (LUAD) is the leading cause of cancer-related deaths, accounting for over a million deaths worldwide annually. Immunogenic cell death (ICD) elicits an adaptive immune response. However, the role of ICD-related long noncoding RNAs (lncRNAs) in LUAD is unknown. In this study, we investigated the characteristics of the tumor microenvironment in LUAD, the prognostic significance of ICD-related lncRNAs, and the half-maximal inhibitory concentration (IC50) of possible chemotherapeutic drugs. We sorted prognostic lncRNAs using univariate Cox regression and constructed a risk signature based on them. We then confirmed the model’s accuracy and generated a nomogram. Additionally, we performed immune microenvironment… More > Graphic Abstract

A. Manju¹, R. kaladevi², Shanmugasundaram Hariharan³, Shih-Yu Chen^4,5,*, Vinay Kukreja⁶, Pradip Kumar Sharma⁷, Fayez Alqahtani⁸, Amr Tolba⁹, Jin Wang¹⁰

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 993-1007, 2023, DOI:10.32604/cmc.2023.039567

Abstract The medical community has more concern on lung cancer analysis. Medical experts’ physical segmentation of lung cancers is time-consuming and needs to be automated. The research study’s objective is to diagnose lung tumors at an early stage to extend the life of humans using deep learning techniques. Computer-Aided Diagnostic (CAD) system aids in the diagnosis and shortens the time necessary to detect the tumor detected. The application of Deep Neural Networks (DNN) has also been exhibited as an excellent and effective method in classification and segmentation tasks. This research aims to separate lung cancers from images of Magnetic Resonance Imaging… More >

Sindhuja Manickavasagam^*, Poonkuzhali Sugumaran

Computer Systems Science and Engineering, Vol.47, No.1, pp. 135-151, 2023, DOI:10.32604/csse.2023.030344

Abstract Cancer disease is a deadliest disease cause more dangerous one. By identifying the disease through Artificial intelligence to getting the mage features directly from patients. This paper presents the lung knob division and disease characterization by proposing an enhancement calculation. Most of the machine learning techniques failed to observe the feature dimensions leads inaccuracy in feature selection and classification. This cause inaccuracy in sensitivity and specificity rate to reduce the identification accuracy. To resolve this problem, to propose a Chicken Sine Cosine Algorithm based Deep Belief Network to identify the disease factor. The general technique of the created approach includes… More >

LU LIU^1,2, BIN XIE^1,2, WEI ZHU^1,2, QIUYAN HE^1,2, JIANHUA ZHOU^1,2, SHUANG LIU³, YONGGUANG TAO⁴, DESHENG XIAO^1,2,*

Oncology Research, Vol.31, No.3, pp. 275-286, 2023, DOI:10.32604/or.2023.028227

Abstract Background: Lung cancer is one of the most lethal cancers worldwide, but studies have shown that the higher the expression of programmed cell death protein 1 ligand 1 (PD-L1) in non-small cell lung cancer (NSCLC), the more likely it will benefit from anti-PD-L1 immunotherapy. The purpose of our study was to collect and analyze abundant clinical samples in order to provide evidence for clinicians and patients who might consider anti-PD-L1 immunotherapy while jointly formulating treatment plans. Methods: On the one hand, we obtained cases from The Cancer Genome Atlas (TCGA) database, including 498 lung squamous cell cancer (LUSC) patients and… More >