QIOU GU¹, CHUILIN LAI¹, XIAO GUAN¹, JING ZHU², TIAN ZHAN¹, JIANPING ZHANG^1,*

BIOCELL, Vol.48, No.2, pp. 253-269, 2024, DOI:10.32604/biocell.2023.028336 - 23 February 2024

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

QI XIA¹, XING CHEN², QINGHUA MA³, XIANXIU WEN^2,*

BIOCELL, Vol.48, No.2, pp. 217-228, 2024, DOI:10.32604/biocell.2023.027414 - 23 February 2024

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 >

ZHENHUA LI¹, HUILAI LV¹, FAN ZHANG¹, ZIMING ZHU², QIANG GUO³, MINGBO WANG¹, CHAO HUANG¹, LIJUAN CHEN⁴, WENPAN ZHANG⁴, YUN LI^5,*, ZIQIANG TIAN^1,*

BIOCELL, Vol.48, No.1, pp. 123-138, 2024, DOI:10.32604/biocell.2023.031568 - 30 January 2024

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 >

HENG ZHANG^1,#, WENJING CHENG^2,#, HAIBO ZHAO², WEIDONG CHEN², QIUJIE ZHANG^2,*, QING-QING YU^2,*

Oncology Research, Vol.32, No.2, pp. 297-308, 2024, DOI:10.32604/or.2023.043138 - 28 December 2023

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 >

WEI HU^1,#, THOMAS WARTMANN^2,#, MARCO STRECKER², ARISTOTELIS PERRAKIS², ROLAND CRONER², ARPAD SZALLASI³, WENJIE SHI^2,*, ULF D. KAHLERT^2,*

Oncology Research, Vol.32, No.1, pp. 227-239, 2024, DOI:10.32604/or.2023.043053 - 15 November 2023

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

ZHONGXIANG TANG^1,2, LILI WANG^1,2, GUOJUN WU^1,2, LING QIN^1,2,*, YURONG TAN^1,2,*

BIOCELL, Vol.47, No.11, pp. 2503-2516, 2023, DOI:10.32604/biocell.2023.031565 - 27 November 2023

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

RENLONG ZHOU^1,2,#, SHUANG LI^3,#, XILIN XIAO^1,*

BIOCELL, Vol.47, No.11, pp. 2397-2408, 2023, DOI:10.32604/biocell.2023.030281 - 27 November 2023

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 >

XIN ZHU^1,2,#, BIN XIAO^3,#,*, WENWU ZHANG^3,4, XIAOYU SONG³, WEI GONG⁵, LINHAI LI^3,*, XINPING CHEN^1,2,*

BIOCELL, Vol.47, No.10, pp. 2265-2281, 2023, DOI:10.32604/biocell.2023.029195 - 08 November 2023

Abstract Background: The protein encoded by ring finger protein 157 (RNF157) is known to function as an E3 ubiquitin ligase. However, whether the level of RNF157 expression in breast cancer correlates with prognosis and immune cell infiltration among breast cancer patients remains to be further explored. Methods: In this study, publicly available datasets were used for evaluating RNF157 expression in different tumors compared with normal samples. Several independent datasets were screened for investigating the relationship between RNF157 and breast cancer survival, different mutation profiles, and tumor immune cell infiltration. We conducted a pathway enrichment analysis to… More >

ZHAOXU YAO^*, HAIBIN MA, LIN LIU, QIAN ZHAO, LONGCHAO QIN, XUEYAN REN, CHUANJUN WU, KAILI SUN

BIOCELL, Vol.47, No.9, pp. 1965-1975, 2023, DOI:10.32604/biocell.2023.030796 - 28 September 2023

Abstract Objective: Through integrated bioinformatics analysis, the goal of this work was to find new, characterised N7-methylguanosine modification-related long non-coding RNAs (m7G-lncRNAs) that might be used to predict the prognosis of laryngeal squamous cell carcinoma (LSCC). Methods: The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database & sanitised. Then, using co-expression analysis of m7G-associated mRNAs & lncRNAs & differential expression analysis (DEA) among LSCC & normal sample categories, we discovered lncRNAs that were connected to m7G. The prognosis prediction model was built for the training category… More >

BIN ZHANG^1,#, JIANYI ZHAO^3,#, YONGZHI WANG^2,#, HUA XU¹, BO GAO¹, GUANGNING ZHANG¹, BIN HAN¹, GUOHONG SONG¹, JUNCHEN ZHANG^1,*, WEI MENG^1,*

Oncology Research, Vol.31, No.6, pp. 917-927, 2023, DOI:10.32604/or.2023.030425 - 15 September 2023

Abstract Glioblastoma (GBM) is the most aggressive cancer of the brain and has a high mortality rate due to the lack of effective treatment strategy. Clarification of molecular mechanisms of GBM’s characteristic invasive growth are urgently needed to improve the poor prognosis. Single-nuclear sequencing of primary and recurrent GBM samples revealed that levels of M3 muscarinic acetylcholine receptor (CHRM3) were significantly higher in the recurrent samples than in the primary samples. Moreover, immunohistochemical staining of an array of GBM samples showed that high levels of CHRM3 correlated with poor prognosis, consistent with The Cancer Genome Atlas More >