FEIFEI TIAN¹, HUAN HU¹, DI WANG¹, HUAN DING¹, QINGJIA CHI², HUAPING LIANG³, WENLI ZENG^4,*

BIOCELL, Vol.46, No.10, pp. 2291-2301, 2022, DOI:10.32604/biocell.2022.020198

Abstract This study used transcriptome and epigenetic data to predict the prognosis of immune-related genes (IRGs) Apelin (APLN) in patients with hepatocellular carcinoma (HCC). The TCGA database has gene expression and clinical data for HCC. And DNA methylation 450 k data for HCC was download from the University of California Santa Cruz (UCSC) Xena browser. Performing clinical and prognostic analysis of APLN expression, results show that APLN is highly expressed in tumor samples. And it has an increasing trend with the development of clinical stage and T stage. To explore the prognostic role of APLN, the Immune-related DNA methylation (DNAm) sites… More >

Xubin Yin¹, Bing Yang², Ming Su², Shaoshan Sun¹, Hao Wang^1,*

Oncologie, Vol.23, No.4, pp. 533-546, 2021, DOI:10.32604/oncologie.2021.018705

Abstract Background: Tumor recurrence is one of the major problems that affect the postoperative efficacy of oral squamous cell carcinoma (OSCC) treatment. Autophagy is known to have a dual-sided effect on tumors. However, studies on autophagy and prognosis are limited. The purpose of this study is to analyze the relationship between autophagy and OSCC recurrence. Materials and methods: 72 patients with OSCC were followed for 5 years after curative surgery. Tissue specimens from each patient were divided into tumor, normal, and marginal groups. Autophagy protein expression was assessed by western blotting and immunofluorescence. Statistical significance was evaluated using the chi-square test.… More >

Xiaodan He, Jingshi Wang, Zhao Wang^*

Oncologie, Vol.23, No.4, pp. 559-567, 2021, DOI:10.32604/oncologie.2021.018647

Abstract Despite extensive work-ups, some patients have been diagnosed with hemophagocytic lymphohistiocytosis (HLH) of unknown etiology. For HLH of unknown etiology, to investigate the clinical features and the factors that may affect the prognosis, we retrospectively reviewed the medical records of 94 patients hospitalized from January 2014 to December 2019. Survival times were evaluated until April 2020. For the 94 patients, the underlying causes of their diseases remained unclear at the end of the follow-up period, and the 1-, 3-, and 6-month survival rates, and the overall survival (OS) rates were 86.2%, 78.7%, 73.4%, and 70.2%, respectively. The multivariate analysis showed… More >

YONGHUI YU^1,#, SONGHUI XU^2,#, ERYONG ZHAO^3,#, YONGSHUN DONG¹, JINBIN CHEN¹, BOQI RAO¹, JIE ZENG⁴, LEI YANG¹, JIACHUN LU¹, FUMAN QIU^1,4,*

BIOCELL, Vol.46, No.4, pp. 999-1011, 2022, DOI:10.32604/biocell.2022.017004

Abstract The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage. Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted. The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator (LASSO) method. A risk score model based on the prognostic pseudogenes was also constructed. The pseudogene-mRNA regulatory networks were established using correlation analysis, and their potent roles in the ovarian cancer progression were uncovered by functional enrichment analysis. Lastly, ssGSEA… More >

LIPING WANG^1,2, ZHOU LUO¹, MINMIN SUN³, QIUYUE YUAN⁴, YINGGANG ZOU⁵, DEYUAN FU^1,*

BIOCELL, Vol.46, No.3, pp. 595-606, 2022, DOI:10.32604/biocell.2022.017337

Abstract This work aimed to improve current prognostic signatures based on clinical stages in identifying high-risk patients of triple-negative breast cancer (TNBC), to allow patients with a high-risk score for specific treatment decisions. In this study, 396 TNBC samples from TCGA and GEO databases were included in genome-wide transcriptome analysis. The relationship between normalized gene expression values and survival data of patients was determined by Cox proportional hazards models in each dataset. The overlapped genes among all datasets were considered as a potential prognostic signature. The risk score was constructed based on individual genes and validated with three separate data sets… More >

SHUTING GU^1,2,#, JINGYI QIN^3,#, SAINAN GAO¹, ZHEN WANG^1,4, QI MENG^1,4, YAN LI^1,4, BING LU⁵, SONGLIN ZHOU^1,2,*, YUNZHAO XU^1,6,*

BIOCELL, Vol.46, No.3, pp. 689-697, 2022, DOI:10.32604/biocell.2022.016225

Abstract Recently, abnormal expression of KIAA1199 has been detected in Epithelial Ovarian Cancer (EOC). However, the underlined anti-ovarian cancer mechanism of KIAA1199 remains to be enlightened. In our study, we performed to elucidate the effects of KIAA1199 on the advanced biological behavior of EOC cells through activation of the IL-6/STAT3 pathway. Confirmed by immunohistochemistry, KIAA1199 was highly expressed in ovarian borderline and malignant epithelial tumors. A retrospective analysis found that EOC patients with low expression of KIAA1199 had a significantly higher 5-year survival rate than those with high expression. Mechanistically, IL-6 was used to stimulate EOC cells, and the expression of… More >

MENG FANG¹, JING GUO¹, HAIPING WANG¹, ZICHANG YANG², HAN ZHAO^1,*, QINGJIA CHI²

BIOCELL, Vol.46, No.2, pp. 401-415, 2022, DOI:10.32604/biocell.2022.016989

Abstract Hepatocellular carcinoma (HCC) is a common immunogenic malignant tumor. Although the new strategies of immunotherapy and targeted therapy have made considerable progress in the treatment of HCC, the 5-year survival rate of patients is still very low. The identification of new prognostic signatures and the exploration of the immune microenvironment are crucial to the optimization and improvement of molecular therapy strategies. We studied the potential clinical benefits of the inflammation regulator miR-93-3p and mined its target genes. Weighted gene co-expression network analysis (WGCNA), univariate and multivariate COX regression and the LASSO COX algorithm are employed to identify prognostic-related genes and… More >

MENGQIU CHENG^1,2, WEI CAO², GUODONG CAO¹, XIN XU^1,2,*, BO CHEN^1,*

BIOCELL, Vol.46, No.1, pp. 97-109, 2022, DOI:10.32604/biocell.2021.015608

Abstract Gastric cancer (GC) is one of the most common cancer worldwide. Although emerging evidence indicates that autophagy-related long non-coding RNA (lncRNA) plays an important role in the progression of GC, the prognosis of GC based on autophagy is still deficient. The Cancer Genome of Atlas stomach adenocarcinoma (TCGA-STAD) dataset was downloaded and separated into a training set and a testing set randomly. Then, 24 autophagy-related lncRNAs were found strongly associated with the survival of the TCGA-STAD dataset. 11 lncRNAs were selected to build the risk score model through the least absolute shrinkage and selection operator (LASSO) regression. Every patient got… More >

JIAYU ZHANG^1,2,3,#, RUOYAN CAO^1,2,3,#, JIANMIN PENG^1,2,3, QINCHAO HU^1,2,3, JUAN XIA^1,2,3,*, BIN CHENG^1,2,3,*

BIOCELL, Vol.46, No.1, pp. 111-125, 2022, DOI:10.32604/biocell.2022.016612

Abstract Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma (HNSCC). The integrative analysis of all the metabolism-related genes (MRGs) in HNSCC is lacking and the interaction between the metabolism and the immune characteristics also requires more exploration to uncover the potential mechanisms. Therefore, this study was designed to establish a prognostic signature based on all the MRGs in HNSCC. Genes of HNSCC samples were available from the TCGA and GEO databases while the MRGs were retrieved from a previous study. Ultimately 4 prognostic MRGs were selected to construct a model… More >

XINGHONG YAO^1,2,#, CHENGQUAN LU^3,#, JUNYI SHEN¹, WENLI JIANG¹, YAN QIU¹, YE ZENG^1,*, LIANG LI^1,*

BIOCELL, Vol.45, No.6, pp. 1425-1448, 2021, DOI:10.32604/biocell.2021.017289

Abstract Cancer stem cells (CSCs) are heterogeneous with self-renewal and differentiation ability. The mRNA expression-based stemness index (mRNAsi) described the similarity between tumor cells and CSCs, which is positively associated with the poor prognosis of cancer patients. However, the key prognostic genes related to mRNAsi in hepatocellular carcinoma (HCC) remains unclear. A 9-gene signature related to mRNAsi and HCC prognosis including PSMG3, SNRPD1, DTYMK, PIGU, NME1, TXNL4A, IPO4, PES1, and REXO4 was obtained. High expression of this signature indicates poor prognosis of HCC. PIGU was an independent prognostic factor of HCC, which was significantly associated with progression of HCC. Among them,… More >