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  • Open Access

    ARTICLE

    Extensive prediction of drug response in mutation-subtype-specific LUAD with machine learning approach

    KEGANG JIA1,#, YAWEI WANG2,#, QI CAO3,*, YOUYU WANG1,*

    Oncology Research, Vol.32, No.2, pp. 409-419, 2024, DOI:10.32604/or.2023.042863

    Abstract Background: Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide. Therapeutic failure in lung cancer (LUAD) is heavily influenced by drug resistance. This challenge stems from the diverse cell populations within the tumor, each having unique genetic, epigenetic, and phenotypic profiles. Such variations lead to varied therapeutic responses, thereby contributing to tumor relapse and disease progression. Methods: The Genomics of Drug Sensitivity in Cancer (GDSC) database was used in this investigation to obtain the mRNA expression dataset, genomic mutation profile, and drug sensitivity information of NSCLS. Machine Learning (ML) methods, including Random Forest… More >

  • Open Access

    ARTICLE

    FGD5 as a novel prognostic biomarker and its association with immune infiltrates in lung adenocarcinoma

    ZHONGXIANG TANG1,2, LILI WANG1,2, GUOJUN WU1,2, LING QIN1,2,*, YURONG TAN1,2,*

    BIOCELL, Vol.47, No.11, pp. 2503-2516, 2023, DOI:10.32604/biocell.2023.031565

    Abstract Background: Non-small cell lung cancer (NSCLC) has a poor prognosis with a low 5-year survival rate. Lung adenocarcinoma (LUAD) accounts for 50%. Facio-genital dysplasia-5 (FGD5), a member of a subfamily of Rho GTP-GDP exchange factors, may be a good molecular biomarker for diagnosis and prognosis. Objective: To explore the clinical application of FGD5, the study was designed to investigate the prognosis value of FGD5 expression and its correlation with immune infiltrates in LUAD patients. Methods: Through the Wilcoxon signed-rank test and logistic regression, the correlation between clinical characteristics and FGD5 expression was analyzed. Kaplan–Meier plotter analysis, Cox regression, and a… More > Graphic Abstract

    FGD5 as a novel prognostic biomarker and its association with immune infiltrates in lung adenocarcinoma

  • Open Access

    ARTICLE

    High expression of PD-L1 mainly occurs in non-small cell lung cancer patients with squamous cell carcinoma or poor differentiation

    LU LIU1,2, BIN XIE1,2, WEI ZHU1,2, QIUYAN HE1,2, JIANHUA ZHOU1,2, SHUANG LIU3, YONGGUANG TAO4, DESHENG XIAO1,2,*

    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 >

  • Open Access

    ARTICLE

    Identification of a Novel Cancer Stemness-Associated ceRNA Axis in Lung Adenocarcinoma via Stemness Indices Analysis

    Pihua Han*†1, Haiming Yang‡1, Xiang Li*1, Jie Wu*, Peili Wang§, Dapeng Liu*, Guodong Xiao, Xin Sun*, Hong Ren*

    Oncology Research, Vol.28, No.7-8, pp. 715-729, 2020, DOI:10.3727/096504020X16037124605559

    Abstract The aim of this study was to identify a novel cancer stemness-related ceRNA regulatory axis in lung adenocarcinoma (LUAD) via weighted gene coexpression network analysis of a stemness index. The RNA sequencing expression profiles of 513 cancer samples and 60 normal samples were obtained from the TCGA database. Differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs), and miRNAs (DEmiRNAs) were identified with R software. Functional enrichment analysis was conducted using DAVID 6.8. The ceRNA network was constructed via multiple bioinformatics analyses, and the correlations between possible ceRNAs and prognosis were analyzed using Kaplan–Meier plots. WGCNA was then applied to distinguish key genes… More >

  • Open Access

    ARTICLE

    Expression and prognosis analyses of Dectin-1 cluster genes in patients with lung adenocarcinoma (LUAD) and the association with immune checkpoint molecules

    LITING YOU1,#, FEIFEI NA2,#, JUAN ZHOU3, LIN JIAO3, YI ZHOU3,*, BINWU YING3,*

    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 >

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