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 - 03 January 2023

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… More >

ZHANSHU LIU¹, XI HUANG^2,*

BIOCELL, Vol.47, No.3, pp. 593-605, 2023, DOI:10.32604/biocell.2023.024148 - 03 January 2023

Abstract Purpose: Iron metabolism maintains the balance between iron absorption and excretion. Abnormal iron metabolism can cause numerous diseases, including tumor. This study determined the iron metabolism-related genes (IMRGs) signature that can predict the prognosis of acute myeloid leukemia (AML). The roles of these genes in the immune microenvironment were also explored. Methods: A total of 514 IMRGs were downloaded from the Molecular Characteristics Database (MSigDB). IMRGs related to AML prognosis were identified using Cox regression and LASSO analyses and were used to construct the risk score model. AML patients were stratified into high-risk groups (cluster 1)… More >

JING LUO^1,2,#, JIANPING HE^1,#, YONG LUO^1,*, CHENG YI^1,*

BIOCELL, Vol.47, No.2, pp. 309-318, 2023, DOI:10.32604/biocell.2023.025377 - 18 November 2022

Abstract Chondroitin sulfate synthase 2 (CHPF) is characterized as an oncogenic and poor prognosis-related gene in breast cancer. However, this gene has alternative splicing products encoding proteins of different lengths. Breast cancer is a group of heterogeneous tumors with distinct clinical and genomic characteristics. In this study, we explored the expression profile and prognostic value of the two transcripts of CHPF using data from The Cancer Genome Atlas (TCGA)-BRCA. The functional regulation of the two transcripts was also studied in MCF-7 and BT-474 cells. Among the two transcripts of CHPF, ENST00000535926 expression was significantly upregulated in the tumor… More >

Saud S. Alotaibi^*

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1815-1829, 2023, DOI:10.32604/iasc.2023.029446 - 19 July 2022

Abstract One of the most critical objectives of precision farming is to assess the germination quality of seeds. Modern models contribute to this field primarily through the use of artificial intelligence techniques such as machine learning, which present difficulties in feature extraction and optimization, which are critical factors in predicting accuracy with few false alarms, and another significant difficulty is assessing germination quality. Additionally, the majority of these contributions make use of benchmark classification methods that are either inept or too complex to train with the supplied features. This manuscript addressed these issues by introducing a More >

Sijun Liu^1,2, Zongwei Wang¹, Xingbo Long³, Aaron Fleishman¹, Xiangchun Huang⁴, Qingguang Wu², Boris Gershman¹, Aria F. Olumi¹

Canadian Journal of Urology, Vol.29, No.1, pp. 10992-11002, 2022

Abstract Introduction: To determine whether marital status combined with race serve as prognostic factors for survival in localized prostate cancer.
Materials and methods: Patients with localized prostate cancer were retrospectively extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Chi-square test was used to investigate the association between marital status combined with race and other variables. Gray’s test was used to compare the cumulative incidence function of different variables. Multivariable analysis was conducted to assess prognostic factors after adjusting for other variables.
Results: A total of 207,219 patients with localized prostate cancer from the SEER database from 2010… More >

Hua Yang^*

Oncologie, Vol.24, No.4, pp. 835-863, 2022, DOI:10.32604/oncologie.2022.026447 - 31 December 2022

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… 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 - 31 December 2022

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… More >

Lina Tang^1,2, Haiyan Hu², Yan Zhou², Yujing Huang², Yonggang Wang², Yawen Zhang², Jinrong Liang², Zhenxin Wang^1,*

Oncologie, Vol.24, No.4, pp. 913-925, 2022, DOI:10.32604/oncologie.2022.026296 - 31 December 2022

Abstract Objective: To investigate the expression of alpha–smooth muscle actin (ACTA2) in osteosarcoma tissues and its relationship with prognosis. Methods: Prognostic analysis of lung metastasis–related genes in osteosarcoma using the TCGA database. Single-cell sequencing detected the expression of ACTA2 in 11 osteosarcoma tissues. Paraf- fin-embedded tissues of 74 osteosarcoma patients treated at the Sixth People’s Hospital of Shanghai Jiao Tong University from 2014 to 2019 were collected, and tissue microarrays were prepared. ACTA2 expression was detected and scored by immunohistochemistry. According to the median value of the ACTA2 histochemical score, 74 patients were divided into two groups, the… More >

Xue Cui^1,2, Min Peng², Honglei Chen^1,*

Oncologie, Vol.24, No.4, pp. 665-678, 2022, DOI:10.32604/oncologie.2022.023641 - 31 December 2022

Abstract The emergence of tumor immunotherapy, especially immune checkpoint inhibitors (ICIs), has brought new life to cancer treatment, and ICIs can effectively treat various tumors. Among the immune anti-cancer therapies, PD-1 is undoubtedly the hot target after CTLA-4, but due to the ineffectiveness of PD-1 in treating certain tumors, researchers have shifted their focus to other combination targets, such as LAG-3, TIM3, IDO-1, etc. One of these promising targets is LAG-3, a target with multiple clinical trials, which has increasingly shown to be an inhibitory co-receptor that plays a vital role in autoimmunity, cancer immunity, and More >

Fei Wang¹, Jihyun Ma², Nan Zhao³, Chi Lin^3,*, Haixing Jiang^1,*

Oncologie, Vol.24, No.4, pp. 865-895, 2022, DOI:10.32604/oncologie.2022.025447 - 31 December 2022

Abstract Objective: The characteristics of clinical features and prognoses among patients with different racial backgrounds have not been clearly studied. We thus investigated the clinical characteristics and overall survival (OS) differences among Asian, White, and Black patients with pancreatic neuroendocrine tumors (pNETs). Materials and Methods: The Surveillance, Epidemiology, and End Results (SEER) database was queried to identify patients with pNETs between 1983 and 2015. We performed univariable (UVA) and multivariable logistic regression (MVA) to assess the association between variables and race category. A Kaplan-Meier (KM) plot was used to calculate the OS rates. The Cox proportional hazard regression… More >