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 >

Yasemin Gültepe^*

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2015-2028, 2021, DOI:10.32604/cmc.2021.014631

Abstract In 2018, 1.76 million people worldwide died of lung cancer. Most of these deaths are due to late diagnosis, and early-stage diagnosis significantly increases the likelihood of a successful treatment for lung cancer. Machine learning is a branch of artificial intelligence that allows computers to quickly identify patterns within complex and large datasets by learning from existing data. Machine-learning techniques have been improving rapidly and are increasingly used by medical professionals for the successful classification and diagnosis of early-stage disease. They are widely used in cancer diagnosis. In particular, machine learning has been used in the diagnosis of lung cancer… More >

Nan Geng¹, Wenxia Hu¹, Zhikun Liu², Jingwei Su², Wenyu Sun³, Shaonan Xie⁴, Cuimin Ding^1,*

Oncologie, Vol.22, No.4, pp. 245-254, 2020, DOI:10.32604/oncologie.2020.014125

Abstract Objective: This study was set out to inquire into the expression and clinical significance of lncRNA activated by transforming growth factor β (LncRNA-ATB) and in cancer tissues of patients with non-small cell lung cancer (NSCLC). Methods: LncRNA-ATB in cancer tissues and adjacent tissues of 89 NSCLC patients was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and its clinical diagnostic value in NSCLC was determined by receiver operating characteristic (ROC) curves. Based on the median expression of LncRNAATB in NSCLC tissues, 89 patients were allocated into high- and low-expression groups. The 3-year survival rate was calculated using Kaplan-Meier method and… More >

Haoliang Zhang^1,*, Xiaowei Xing², Yang Liu¹, Shuangli Li¹, Weiyuan Li³

Oncologie, Vol.22, No.2, pp. 107-116, 2020, DOI:10.32604/oncologie.2020.012494

Abstract Lung cancer is the leading cause of death in cancer patients. Based on a modular and comprehensive analysis method, it is intended to identify their common pathogenesis. We downloaded data and analyzed differences in lung adenocarcinoma samples, lung squamous cell carcinoma samples, and normal samples. Co-expression analysis, enrichment analysis, and hypergeometric testing were used to predict transcription factors, ncRNAs, and retrospective target genes. We get 4596 differentially expressed genes in common differences in high multiples and clustered into 14 modules dysfunction. The 14 genes (including DOK2, COL5A1, and TSPAN8) have the highest connectivity in the dysfunction module and are identified… More >

Dong Zhang^1,#, Lingxia Tong^2,#, Qingjun Wang¹, Yunfeng Cao³, Yu Gao¹, Donghua Yang¹, Tianhao Bao^4,5, Zhitu Zhu^1,*

Oncologie, Vol.22, No.2, pp. 75-82, 2020, DOI:10.32604/oncologie.2020.012376

Abstract Predicting the onset and metastasis of early tumor is the primary means of improving lung cancer prognosis. The purpose of this study was to identify the ability of plasma metabolomics combined with blood markers to establish benign lung disease versus lung cancer regression models. Blood samples were collected from 174 lung cancer patients, 350 benign lung disease patients and 100 healthy volunteers and the metabolites were analyzed by mass spectrometry. The target metabolites consisted of 23 amino acids, 26 acylcarnitines and 45 conventional blood markers. A regression analysis model was established based on 12 metabolites and five blood markers selected… More >

Siqiang Tian^1,#, Yao Jiang^2,#, Ying Wang¹, Jie Song^1,*

Oncologie, Vol.22, No.1, pp. 13-21, 2020, DOI:10.32604/oncologie.2020.012492

Abstract To explore the effects of dexmedetomidine combined with remifentanil anesthesia and propofol combined with remifentanil anesthesia on perioperative inflammatory response and pulmonary function in patients with lung cancer. Totally 128 patients admitted to our hospital for lung cancer surgery were taken as the research object of this experiment. Among them, 67 cases were sedated with dexmedetomidine combined with remifentanil (Group A), and 61 cases were sedated with propofol combined with remifentanil (Group B). The changes of vital signs, respiratory interval (RR), blood oxygen saturation (SpO2) and blood sugar before and after sedation were recorded. The changes of inflammatory factors TNF-α,… More >

Xinxiong FEI, Wenbin HU, Gangsheng WANG, Chunyan SU, Xuqun HUANG, Zhongjun JIANG^*

BIOCELL, Vol.44, No.1, pp. 81-88, 2020, DOI:10.32604/biocell.2020.08125

Abstract Lung cancer poses a serious threat to human life with high incidence and miRNA is an important biomarker in tumors. This study aimed to explore the effect of miR-143-3p on the biological function of lung cancer cells and the underlying mechanism. Eighty-seven samples of lung cancer tissues and 81 samples of tumor-adjacent tissues from patients undergoing radical lung cancer surgery in our hospital were collected. The lung cancer cells and lung fibroblast cells (HFL-1) were purchased, and then miR-143-3p-mimics, miR-NC, si-CTNND1, and NC were transfected into A549 and PC-9 cells to establish cell models. MiR-143-3p and CTNND1 expression levels were… More >

Binbin QIAN¹, Xiaoduo LIU², Xiaolin GU¹, Lu YANG³, Dake CHEN^1,*

BIOCELL, Vol.44, No.1, pp. 19-26, 2020, DOI:10.32604/biocell.2020.07859

Abstract Prolylcarboxypeptidase (PRCP) belongs to the S28 family of proteases, which is also a dipeptidyl peptidase. In this study, we demonstrate the expression pattern of PRCP in Non-small cell lung cancer (NSCLC). We found that the repression of PRCP expression by small interfering RNA successfully inhibited cell proliferation, migration, and invasion. Further, we explored the involvement of PRCP in the regulation of epithelial-mesenchymal transition (EMT). The epithelial marker E-cadherin was significantly increased, meanwhile mesenchymal markers MUC1, vimentin, and SNAIL were markedly decreased in PRCP knockdown cells. Moreover, the downregulation of PRCP in the NSCLC cells induced the expression of apoptosis-related proteins… More >

Dairong LI¹, Xianlu ZHUO^1,2, Lumi HUANG¹, Xiaohui JI¹, Donglin WANG¹

BIOCELL, Vol.43, No.3, pp. 139-144, 2019, DOI:10.32604/biocell.2019.06460

Abstract X-ray repair cross-complementing protein 1 (XRCC1) could repair cisplatin-induced DNA damage. XRCC1 Arg399Gln and Arg194Trp variants alter XRCC1 expression and function, leading to changes in cancer sensitivity to cisplatin treatment. This study aimed to investigate the effects of XRCC1 Arg399Gln and Arg194Trp polymorphisms on cell viability, apoptosis and XRCC1 expression in cisplatin-sensitive A549 and cisplatin-resistant A549/DDP nonsmall cell lung cancer (NSCLC) cells. Plasmids carrying XRCC1 Arg399Gln and Arg194Trp were constructed and transfected into A549 and A549/DDP cells. RT–PCR, Western blot, MTT assay, and flow cytometry analysis were performed to assess cell viability, apoptosis, and XRCC1 expression. Compared to control cells,… More >