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  • Open Access

    ARTICLE

    Bioinformatics comprehensive analysis confirmed the potential involvement of SLC22A1 in lower-grade glioma progression and prognosis

    JING HUI1,2, NANA SUN3, YONG LIU4, CHUNBO YU1,2, YONG KE4, YONG CAO4, ANXIAO YU4, QINGHONG KONG1,2,*, YUN LIU1,2,4,*

    BIOCELL, Vol.48, No.5, pp. 803-815, 2024, DOI:10.32604/biocell.2024.047122

    Abstract Background: Although it has been established that the human Solute Carrier Family 22 (SLC22) functions as a cationic transporter, influencing cellular biological metabolism by modulating the uptake of various cations, its impact on cancer prognosis remains unclear. Methods: We conducted a comprehensive analysis utilizing data from The Cancer Genome Atlas (TCGA) and other databases to assess the prognostic value and functional implications across various tumors. Silence of SLC22A1 RNA in glioma U251 cells was performed to access the impact of SLC22A1 on lower-grade glioma (LGG) progression. Results: Our findings demonstrated a significant correlation between SLC22A1 expression… More >

  • Open Access

    ARTICLE

    Identification prognostic features related to sphingolipid metabolism and experimental validation of TRIM47 in hepatocellular carcinoma

    JIAN TANG1, CHENQIANG ZHU1, YUN CHEN1, YUNLONG WU1, MING HE1, YI ZHOU2, MINGHUA XIE2,*

    BIOCELL, Vol.48, No.4, pp. 639-651, 2024, DOI:10.32604/biocell.2024.047562

    Abstract Background: The specific impact of sphingolipid metabolism on developing hepatocellular Carcinoma (HCC) remains unclear. This study aims to explore the relationship between sphingolipid metabolism and HCC prognosis, immune response, and drug sensitivity. Methods: Data were obtained from The Cancer Genome Atlas (TCGA)-Hepatocellular Carcinoma (LIHC) and Gene Expression Omnibus (GEO, GSE14520 datasets). 47 sphingolipid metabolism genes were obtained from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. After classifying HCC samples using the Non-negative Matrix Factorization (NMF) clustering method, differentially expressed genes were screened. Then, 8 risk genes were obtained by univariate analysis, survival random forest… More > Graphic Abstract

    Identification prognostic features related to sphingolipid metabolism and experimental validation of TRIM47 in hepatocellular carcinoma

  • Open Access

    ARTICLE

    IQGAP3 promotes the progression of glioma as an immune and prognostic marker

    XIAOFENG GAO1,2,3,4, JUANJUAN GE3, XUZHENG GAO1,3, NA MEI1,3, YANTING SU3, SHIGANG SHAN3, WENBIN QIAN3, JIANGHENG GUAN5, ZHENWANG ZHANG1,3,*, LONG WANG2,3,4,*

    Oncology Research, Vol.32, No.4, pp. 659-678, 2024, DOI:10.32604/or.2023.046712

    Abstract Background: IQGAP3 plays a crucial role in regulating cell proliferation, division, and cytoskeletal organization. Abnormal expression of IQGAP3 has been linked to various tumors, but its function in glioma is not well understood. Methods: Various methods, including genetic differential analysis, single-cell analysis, ROC curve analysis, Cox regression, Kaplan-Meier analysis, and enrichment analysis, were employed to analyze the expression patterns, diagnostic potential, prognostic implications, and biological processes involving IQGAP3 in normal and tumor tissues. The impact of IQGAP3 on immune infiltration and the immune microenvironment in gliomas was evaluated using immunofluorescence. Additionally, the cBioPortal database was used… More > Graphic Abstract

    IQGAP3 promotes the progression of glioma as an immune and prognostic marker

  • Open Access

    ARTICLE

    Development of a cell adhesion-based prognostic model for multiple myeloma: Insights into chemotherapy response and potential reversal of adhesion effects

    QIAN HU, MENGYAO WANG, JINJIN WANG, YALI TAO, TING NIU*

    Oncology Research, Vol.32, No.4, pp. 753-768, 2024, DOI:10.32604/or.2023.043647

    Abstract Multiple myeloma (MM) is a hematologic malignancy notorious for its high relapse rate and development of drug resistance, in which cell adhesion-mediated drug resistance plays a critical role. This study integrated four RNA sequencing datasets (CoMMpass, GSE136337, GSE9782, and GSE2658) and focused on analyzing 1706 adhesion-related genes. Rigorous univariate Cox regression analysis identified 18 key prognosis-related genes, including KIF14, TROAP, FLNA, MSN, LGALS1, PECAM1, and ALCAM, which demonstrated the strongest associations with poor overall survival (OS) in MM patients. To comprehensively evaluate the impact of cell adhesion on MM prognosis, an adhesion-related risk score (ARRS)… More >

  • Open Access

    ARTICLE

    Investigation of the feasibility of NRAV as a biomarker for hepatocellular carcinoma

    JUN LIU1,2,3,#, WENLI LI3, RUYUE LU1,2, JIAQING XU1,2, CHUNHUI JIANG4, JUNLIN DUAN3, LINGZHI ZHANG1,#,*, GUANFU WANG1, JIAXI CHEN1,2,#,*

    Oncology Research, Vol.32, No.4, pp. 717-726, 2024, DOI:10.32604/or.2023.043575

    Abstract The long non-coding RNA, Negative Regulator of Antiviral Response (NRAV) has been identified as a participant in both respiratory virus replication and immune checkpoints, however, its involvement in pan-cancer immune regulation and prognosis, particularly those of hepatocellular carcinoma (HCC), remains unclear. To address this knowledge gap, we analyzed expression profiles obtained from The Cancer Genome Atlas (TCGA) database, comparing normal and malignant tumor tissues. We found that NRAV expression is significantly upregulated in tumor tissues compared to adjacent nontumor tissues. Kaplan-Meier (K-M) analysis revealed the prognostic power of NRAV, wherein overexpression was significantly linked to… More >

  • Open Access

    ARTICLE

    GRIK1 promotes glioblastoma malignancy and is a novel prognostic factor of poor prognosis

    GUOQIANG HOU1,2,#, XINHANG XU2,#, WEIXING HU1,*

    Oncology Research, Vol.32, No.4, pp. 727-736, 2024, DOI:10.32604/or.2023.043391

    Abstract Primary tumors of the central nervous system (CNS) are classified into over 100 different histological types. The most common type of glioma is derived from astrocytes, and the most invasive glioblastoma (WHO IV) accounts for over 57% of these tumors. Glioblastoma (GBM) is the most common and fatal tumor of the CNS, with strong growth and invasion capabilities, which makes complete surgical resection almost impossible. Despite various treatment methods such as surgery, radiotherapy, and chemotherapy, glioma is still an incurable disease, and the median survival time of patients with GBM is shorter than 15 months.… More >

  • Open Access

    ARTICLE

    Developing risk models and subtypes of autophagy-associated LncRNAs for enhanced prognostic prediction and precision in therapeutic approaches for liver cancer patients

    LU ZHANG*, JINGUO CHU*, YUSHAN YU

    Oncology Research, Vol.32, No.4, pp. 703-716, 2024, DOI:10.32604/or.2023.030988

    Abstract Background: Limited research has been conducted on the influence of autophagy-associated long non-coding RNAs (ARLncRNAs) on the prognosis of hepatocellular carcinoma (HCC). Methods: We analyzed 371 HCC samples from TCGA, identifying expression networks of ARLncRNAs using autophagy-related genes. Screening for prognostically relevant ARLncRNAs involved univariate Cox regression, Lasso regression, and multivariate Cox regression. A Nomogram was further employed to assess the reliability of Riskscore, calculated from the signatures of screened ARLncRNAs, in predicting outcomes. Additionally, we compared drug sensitivities in patient groups with differing risk levels and investigated potential biological pathways through enrichment analysis, using… More >

  • Open Access

    ARTICLE

    Bioinformatics analysis and experimental validation of cystathionine-gamma-lyase as a potential prognosis biomarker in hepatocellular carcinoma

    YANAN MA1, SHANSHAN WANG2,*, HUIGUO DING1,*

    BIOCELL, Vol.48, No.3, pp. 463-471, 2024, DOI:10.32604/biocell.2024.048244

    Abstract Background: Hepatocellular carcinoma (HCC) is a common malignant tumor with poor prognosis and high mortality worldwide. Although cystathionine-gamma-lyase (CSE) plays an important role in the development of multiple tumors, the clinical implication and potential mechanisms of CSE in HCC development remain elusive. Methods: In our study, the CSE expression in HCC was analyzed in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and further confirmed by RT-qPCR and immunohistochemistry assays in HCC samples. Furthermore, the associations between CSE expression and HCC malignancy as well as survival were analyzed in GSE14520 and validated… More >

  • Open Access

    ARTICLE

    Mitochondrial autophagy gene signature predicts prognosis and response to immunity in esophageal cancer

    DAIXIN ZHAO1, QINGYU WANG2, JIANBO WANG1,*

    BIOCELL, Vol.48, No.2, pp. 271-281, 2024, DOI:10.32604/biocell.2023.029094

    Abstract Background: Esophageal cancer (ESCA) is a common digestive tract tumor. As a result, optimization of the early diagnosis of ESCA and identifying the contributing prognostic genes is urgently required. Herein, the prognosis of mitochondrial autophagy-related genes was analyzed in different subtypes of ESCA, and prognostic models were constructed to identify the immune cell infiltration with significant differences between subtypes. Methods: The Cancer Genome Atlas database was searched to download 185 ESCA samples, covering gene expression level data and clinical follow-up data, and 179 samples from the Gene Expression Omnibus database for subsequent validation analysis. The… More >

  • Open Access

    ARTICLE

    M2 macrophages predicted the prognosis of breast cancer by combing a novel immune cell signature and promoted cell migration and invasion of cancer cells in vitro

    QI XIA1, XING CHEN2, QINGHUA MA3, XIANXIU WEN2,*

    BIOCELL, Vol.48, No.2, pp. 217-228, 2024, DOI:10.32604/biocell.2023.027414

    Abstract Background: Breast cancer (BC) is the most common cancer and the leading cause of cancer death in women. Immune features play an important role in improving the prognosis prediction of BC. However, while previous immune signatures consisted mainly of immune genes, immune cell-based signatures have been rarely reported. Methods: In this study, we report that a novel immune cell signature is effective in improving prognostic prediction by combining M2 macrophages. We identified 17 differentially infiltrating immune cells between cancer and normal groups. Prognostic features of the four immune cells identified by LASSO COX analysis showed… More >

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