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  • 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

    Identification of prognostic molecular subtypes and model based on CD8+ T cells for lung adenocarcinoma

    HONGMIN CAO1,#,*, YING XUE2,#, FEI WANG1, GUANGYAO LI1, YULAN ZHEN1, JINGWEN GUO1

    BIOCELL, Vol.48, No.3, pp. 473-490, 2024, DOI:10.32604/biocell.2024.048946

    Abstract Background: Cytotoxic T lymphocytes (CD8+ T) cells function critically in mediating anti-tumor immune response in cancer patients. Characterizing the specific functions of CD8+ T cells in lung adenocarcinoma (LUAD) could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy. Methods: Gens related to CD8+ T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues. Weighted gene co-expression network analysis (WGCNA), consensus clustering, differential expression analysis, least absolute shrinkage and selection operator (LASSO) and Cox regression analysis were conducted to… More > Graphic Abstract

    Identification of prognostic molecular subtypes and model based on CD8+ T cells for lung adenocarcinoma

  • Open Access

    ARTICLE

    A novel oxaliplatin-resistant gene signatures predicting survival of patients in colorectal cancer

    QIOU GU1, CHUILIN LAI1, XIAO GUAN1, JING ZHU2, TIAN ZHAN1, JIANPING ZHANG1,*

    BIOCELL, Vol.48, No.2, pp. 253-269, 2024, DOI:10.32604/biocell.2023.028336

    Abstract Objectives: Colorectal cancer (CRC) is a serious threat to human health worldwide. Oxaliplatin is a platinum analog and is widely used to treat CRC. However, resistance to oxaliplatin restricts its effectiveness and application while its target recognition and mechanism of action also remain unclear. Therefore, we aimed to develop an oxaliplatin-resistant prognostic model to clarify these aspects. Methods: We first obtained oxaliplatin-resistant and parental cell lines, and identified oxaliplatin-resistant genes using RNA sequencing (RNA-seq) and differential gene analysis. We then acquired relevant data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases.… More > Graphic Abstract

    A novel oxaliplatin-resistant gene signatures predicting survival of patients in colorectal cancer

  • 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 >

  • Open Access

    ARTICLE

    Systematic analysis of DNA polymerases as therapeutic targets in pan-cancers

    ZHENHUA LI1, HUILAI LV1, FAN ZHANG1, ZIMING ZHU2, QIANG GUO3, MINGBO WANG1, CHAO HUANG1, LIJUAN CHEN4, WENPAN ZHANG4, YUN LI5,*, ZIQIANG TIAN1,*

    BIOCELL, Vol.48, No.1, pp. 123-138, 2024, DOI:10.32604/biocell.2023.031568

    Abstract Introduction: DNA polymerases are crucial for maintaining genome stability and influencing tumorigenesis. However, the clinical implications of DNA polymerases in tumorigenesis and their potential as anti-cancer therapy targets are not well understood. Methods: We conducted a systematic analysis using TCGA Pan-Cancer Atlas data and Gene Set Cancer Analysis results to examine the expression profiles of 15 DNA polymerases (POLYs) and their clinical correlations. We also evaluated the prognostic value of POLYs by analyzing their expression levels in relation to overall survival time (OS) using Kaplan-Meier survival curves. Additionally, we investigated the correlations between POLY expression… More >

  • Open Access

    ARTICLE

    Identification and validation of novel prognostic fatty acid metabolic gene signatures in colon adenocarcinoma through systematic approaches

    HENG ZHANG1,#, WENJING CHENG2,#, HAIBO ZHAO2, WEIDONG CHEN2, QIUJIE ZHANG2,*, QING-QING YU2,*

    Oncology Research, Vol.32, No.2, pp. 297-308, 2024, DOI:10.32604/or.2023.043138

    Abstract Background: Colorectal cancer (CRC) belongs to the class of significantly malignant tumors found in humans. Recently, dysregulated fatty acid metabolism (FAM) has been a topic of attention due to its modulation in cancer, specifically CRC. However, the regulatory FAM pathways in CRC require comprehensive elucidation. Methods: The clinical and gene expression data of 175 fatty acid metabolic genes (FAMGs) linked with colon adenocarcinoma (COAD) and normal cornerstone genes were gathered through The Cancer Genome Atlas (TCGA)-COAD corroborating with the Molecular Signature Database v7.2 (MSigDB). Initially, crucial prognostic genes were selected by uni- and multi-variate Cox… 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,… More > Graphic Abstract

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

  • Open Access

    ARTICLE

    Aryl hydrocarbon receptor nuclear translocator 2 as a prognostic biomarker and immunotherapeutic indicator for clear cell renal cell carcinoma

    RENLONG ZHOU1,2,#, SHUANG LI3,#, XILIN XIAO1,*

    BIOCELL, Vol.47, No.11, pp. 2397-2408, 2023, DOI:10.32604/biocell.2023.030281

    Abstract Background: In many cancer types, aryl hydrocarbon receptor nuclear translocator 2 (ARNT2) has been found to be associated with tumor cell proliferation and prognosis. However, the role of ARNT2 in clear cell renal cell carcinoma (ccRCC) has not been completely elucidated. In this study, the potential role of ARNT2 in ccRCC development was characterized. Methods: A pan-cancer dataset (TCGA-TARGET-GTEx) was accessed from UCSC Xena Data Browser. ARNT2 expression in normal and tumor samples was compared. Univariate Cox regression was performed to evaluate the prognostic value of ARNT2. Single sample gene set enrichment analysis (ssGSEA) was… More >

  • Open Access

    ARTICLE

    Transient receptor potential channels as predictive marker and potential indicator of chemoresistance in colon cancer

    WEI HU1,#, THOMAS WARTMANN2,#, MARCO STRECKER2, ARISTOTELIS PERRAKIS2, ROLAND CRONER2, ARPAD SZALLASI3, WENJIE SHI2,*, ULF D. KAHLERT2,*

    Oncology Research, Vol.32, No.1, pp. 227-239, 2024, DOI:10.32604/or.2023.043053

    Abstract Transient receptor potential (TRP) channels are strongly associated with colon cancer development and progression. This study leveraged a multivariate Cox regression model on publicly available datasets to construct a TRP channels-associated gene signature, with further validation of signature in real world samples from our hospital treated patient samples. Kaplan-Meier (K-M) survival analysis and receiver operating characteristic (ROC) curves were employed to evaluate this gene signature’s predictive accuracy and robustness in both training and testing cohorts, respectively. Additionally, the study utilized the CIBERSORT algorithm and single-sample gene set enrichment analysis to explore the signature’s immune infiltration… More > Graphic Abstract

    Transient receptor potential channels as predictive marker and potential indicator of chemoresistance in colon cancer

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