JINGYUE FU, RUI CHEN, ZHIZHENG ZHANG, JIANYI ZHAO, TIANSONG XIA^*

Oncology Research, Vol.31, No.2, pp. 157-167, 2023, DOI:10.32604/or.2023.027972

Abstract Background: Breast cancer has become the most common malignant tumor in the world. It is vital to discover novel prognostic biomarkers despite the fact that the majority of breast cancer patients have a good prognosis because of the high heterogeneity of breast cancer, which causes the disparity in prognosis. Recently, inflammatory-related genes have been proven to play an important role in the development and progression of breast cancer, so we set out to investigate the predictive usefulness of inflammatory-related genes in breast malignancies. Methods: We assessed the connection between Inflammatory-Related Genes (IRGs) and breast cancer by studying the TCGA database.… More > Graphic Abstract

HAOTONG SUN^1,2, HEYING WANG^1,3, XIN LI^1,2, YANJIE HAO^1,2, JUN LING^1,2, HUAN WANG^1,2, FEIMIAO WANG^1,2, FANG XU^1,2,*

BIOCELL, Vol.47, No.3, pp. 607-618, 2023, DOI:10.32604/biocell.2023.026445

Abstract Background: Colon adenocarcinoma (COAD) is the second leading cause of cancer death worldwide thus, identification of COAD biomarkers is critical. Mitotic Arrest Deficient 2 Like 2 (MAD2L2) is a key factor in mammalian DNA damage repair and is highly expressed in many malignant tumors. This is a comprehensive study of MAD2L2 expression, its diagnostic value, prognostic analysis, potential biological function, and impact on the immune system of patients with COAD. Methods: Gene expression, clinical relevance, prognostic analysis, diagnostic value, GO/KEGG cluster analysis, data obtained from TCGA, and bioinformatics statistical analysis were performed using the R package. Immune responses to MAD2L2… More >

Hua Yang^*

Oncologie, Vol.24, No.4, pp. 835-863, 2022, DOI:10.32604/oncologie.2022.026447

Abstract Background: Epithelial ovarian cancer (EOC) is the deadliest malignancy among the gynecologic tumors, and ovarian serous cystadenocarcinoma (OV) is the dominant histological type. Ferroptosis is a novel iron-dependent, programmed form of cell death, and agents that trigger ferroptosis may constitute potential anti-cancer therapies. Materials and Methods: We herein extracted the genes that participate in the process of ferroptosis from the online FerrDb database to create a ferroptosis-related genome (FRG), and then comprehensively analyzed the relationship between the mRNA expression of each gene and the clinicopathologic features of The Cancer Genome Atlas (TCGA)-OV cohort. Results: We found that most of the… More >

Lei Hu^1,2,#, Meng Chen^2,3,#, Haiming Dai^2,3,4, Hongzhi Wang^2,3,4,*, Wulin Yang^2,3,4,*

Oncologie, Vol.24, No.4, pp. 803-822, 2022, DOI:10.32604/oncologie.2022.026419

Abstract Background and Aim: Hundreds of consistently altered metabolic genes have been identified in breast cancer (BC), but their prognostic value remains to be explored. Therefore, we aimed to build a prediction model based on metabolism-related genes (MRGs) to guide BC prognosis. Methods: Current work focuses on constructing a novel MRGs signature to predict the prognosis of BC patients using MRGs derived from the Virtual Metabolic Human (VMH) database, and expression profiles and clinicopathological data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Results: The 3-MRGs-signature constructed by SERPINA1, QPRT and PXDNL was found to be an… More >

Dayu Tian¹, Yang Shi¹, Li Lei¹, Xiangmin Qiu¹, Tao Song^2,*, Qianyin Li^1,*

Oncologie, Vol.24, No.2, pp. 261-282, 2022, DOI:10.32604/oncologie.2022.022838

Abstract Background: Six2, a transcription factor, exerts an oncogenic role in clear cell renal cell carcinoma (ccRCC). Increased Six2 expression could enhance cancer metastasis. However, the regulatory mechanism of Six2 in promoting metastasis remains unclear. The purpose of this study is to analyze the regulatory pattern of Six2 and the potential role of Six2 in the tumor immune microenvironment. Materials and Methods: Firstly, transcriptional data in TCGA-KIRC cohorts was used to analyze the relationship between Six2 expression and clinical information. Secondly, we detect the association between Six2 and the tumor immune microenvironment in ccRCC. Then, we analyzed Six2-related differentially expressed genes… More >

Bo Ling, Zuliang Huang, Suoyi Huang, Li Qian, Genliang Li, Qianli Tang

Oncology Research, Vol.28, No.6, pp. 561-578, 2020, DOI:10.3727/096504020X15907428281601

Abstract There is growing evidence on the clinical significance of tumor microenvironment (TME) cells in predicting prognosis and therapeutic effects. However, cell interactions in tumor microenvironments have not been thoroughly studied or systematically analyzed so far. In this study, 22 immune cell components in the lung adenocarcinoma (LUAD) TME were analyzed using gene expression profile from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The TME-based molecular subtypes of LUAD were defined to evaluate further the relationship between molecular subtypes, prognosis, and clinical characteristics. A TME risk score model was constructed by using the differentially expressed genes (DEGs) of… More >

Dong Yan^1,#, Chunxiao Li^2,#, Yantong Zhou², Xue Yan¹, Weihua Zhi¹, Haili Qian^2,*, Yue Han^1,*

Oncologie, Vol.24, No.1, pp. 101-111, 2022, DOI:10.32604/oncologie.2022.020357

Abstract Hepatocellular carcinoma (HCC) is one of the most deadly types of cancer. Sorafenib is currently the only available first-line molecular targeted drug approved by the FDA for HCC. However, primary and secondary resistance is often encountered with treatment with sorafenib. Genomic alterations found in HCC represent potential targets to develop new drugs or new combinational strategies against this type of cancer. Here we analyzed genomic alterations from the TCGA database of HCC samples and the corresponding targeted drugs available to the clinic to identify candidate drugs that might hold promise when used in combination with sorafenib. Our results revealed that… More >

Beifen Dai^1,#, Zhihao Xu^2,#, Hongjue Li³, Bo Wang³, Jinsong Cai¹, Xiaomo Liu^4,*

Oncologie, Vol.24, No.1, pp. 113-130, 2022, DOI:10.32604/oncologie.2022.020259

Abstract Large-scale genomic studies are important ways to comprehensively decode the human genomics, and provide valuable insights to human disease causalities and phenotype developments. Genomic studies are in need of high throughput bioinformatics analyses to harness and integrate such big data. It is in this overarching context that artificial intelligence (AI) offers enormous potentials to advance genomic studies. However, racial bias is always an important issue in the data. It is usually due to the accumulation process of the dataset that inevitability involved diverse subjects with different races. How can race bias affect the outcomes of AI methods? In this work,… More >

CHUAN TIAN¹, MUBALAKE ABUDOUREYIMU¹, XINRONG LIN¹, HAO ZHOU², XIAOYUAN CHU¹, RUI WANG^1,*

BIOCELL, Vol.45, No.6, pp. 1527-1541, 2021, DOI:10.32604/biocell.2021.016203

Abstract PSMD14 played a vital role in initiation and progression of hepatocellular carcinoma (HCC). However, PSMD14 and its-related genes for the immune prognostic implications of HCC patients have rarely been analyzed. Messenger RNA expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) database-Liver Hepatocellular Carcinoma (LIHC). Additionally, we used multi-dimensional bioinformatics analysis to construct and validate a PSMD14-based immune prognostic signature (including RBM45, PSMD1, OLA1, CCT6A, LCAT and IVD) for HCC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the low-risk group. Calibration curves confirmed… More >

WENXI GAO^1,2,#, QIANQIAN MA^3,#, CHENYU TANG^2,#, YUELI ZHAN⁴, YINONG DUAN², HUIHUA NI^5,*, YUNZHAO XU^5,6,*

BIOCELL, Vol.44, No.4, pp. 597-605, 2020, DOI:10.32604/biocell.2020.011328

Abstract Cervical cancer (CESC) is one of the most common cancers and affects the female genital tract. Consistent HPV infection status has been determined to be a vital cause of tumorigenesis. HPV infection may induce changes to the immune system and limit the host’s immune response. Immunotherapy is therefore essential to improving the overall survival of both locally advanced and recurrent CESC patients. Using 304 relevant samples from TCGA, we assessed immune cell function in CESC patients to better understand the status of both tumor micro-environment cells and immune cells in CESC. Functional enrichment analysis, pathway enrichment analysis, and PPI network… More >