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

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

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

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 used to estimate the enrichment… 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

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 landscape and underlying functional implications.… More > Graphic Abstract

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

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 identify signaling pathways associated with… 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

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 using univariate & multivariate COX… 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

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 database. Knockdown of CHRM3 inhibited… More >

XUEFENG WANG^1,#, SICONG JIANG^2,#, XINHONG ZHOU³, XIAOFENG WANG⁴, LAN LI⁵, JIANJUN TANG^1,*

Oncology Research, Vol.31, No.5, pp. 697-714, 2023, DOI:10.32604/or.2023.029458

Abstract Background: Pancreatic cancer is associated with high mortality and is one of the most aggressive of malignancies, but studies have not fully evaluated its molecular subtypes, prognosis and response to immunotherapy of different subtypes. The purpose of this study was to explore the molecular subtypes and the key genes associated with the prognosis of pancreas cancer patients and study the clinical phenotype, prognosis and response to immunotherapy using single-cell seq data and bulk RNA seq data, and data retrieved from GEO and TCGA databases. Methods: Single-cell seq data and bioinformatics methods were used in this study. Pancreatic cancer data were… More >

LIN QIU^1,#, ANQI TAO^1,#, XIAOQIAN SUN^4,5, FEI LIU¹, XIANPENG GE^2,3,*, CUIYING LI^1,*

Oncology Research, Vol.31, No.5, pp. 715-752, 2023, DOI:10.32604/or.2023.029443

Abstract We analyzed RNA-sequencing (RNA-seq) and clinical data from head and neck squamous cell carcinoma (HNSCC) patients in The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) portal to investigate the prognostic value of anoikis-related genes (ARGs) in HNSCC and develop new targeted drugs. Differentially expressed ARGs were screened using bioinformatics methods; subsequently, a prognostic model including three ARGs (CDKN2A, BIRC5, and PLAU) was constructed. Our results showed that the model-based risk score was a good prognostic indicator, and the potential of the three ARGs in HNSCC prognosis was validated by the TISCH database, the model’s accuracy was validated in two… More >

DONGJIE SUN^1,2, CHI ZHANG^3,*

Oncology Research, Vol.31, No.5, pp. 753-767, 2023, DOI:10.32604/or.2023.029287

Abstract Lung adenocarcinoma (LUAD) is the leading cause of cancer-related deaths, accounting for over a million deaths worldwide annually. Immunogenic cell death (ICD) elicits an adaptive immune response. However, the role of ICD-related long noncoding RNAs (lncRNAs) in LUAD is unknown. In this study, we investigated the characteristics of the tumor microenvironment in LUAD, the prognostic significance of ICD-related lncRNAs, and the half-maximal inhibitory concentration (IC50) of possible chemotherapeutic drugs. We sorted prognostic lncRNAs using univariate Cox regression and constructed a risk signature based on them. We then confirmed the model’s accuracy and generated a nomogram. Additionally, we performed immune microenvironment… More > Graphic Abstract

WUYAO LIU, CHANGBAO QU, XIAOLU WANG^*

Oncology Research, Vol.31, No.4, pp. 543-567, 2023, DOI:10.32604/or.2023.029563

Abstract The high immune infiltration and heterogeneity of the microenvironment in clear cell renal cell carcinoma (ccRCC) result in the variability of prognosis and clinical response. While PANoptosis has strong immunogenicity and is worthy of further study. In this study, data from The Cancer Genome Atlas database was used to obtain immune-related PANoptosis lncRNAs with prognostic value. Subsequently, the role of these lncRNAs in cancer immunity, progression and the therapeutic response was analyzed, and a new prediction model was constructed. Additionally, we further explored the biological value of PANoptosis-related lncRNAs using single-cell data from the Gene Expression Omnibus database. PANoptosis-associated lncRNAs… More >