YANGQING HUANG^1,2, XINLAN ZHOU¹, XIUFEN LI¹, DAN HUANG¹, ZHONG FANG^3,*, RONGRONG DING^1,*

Oncology Research, Vol.31, No.2, pp. 193-205, 2023, DOI:10.32604/or.2023.027112 - 10 April 2023

Abstract Sterol o-acyltransferase1 (SOAT1) is an enzyme that regulates lipid metabolism. Nevertheless, the predictive value of SOAT1 regarding immune responses in cancer is not fully understood. Herein, we aimed to expound the predictive value and the potential biological functions of SOAT1 in pan-cancer. Raw data related to SOAT1 expression in 33 different types of cancer were acquired from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. SOAT1 expression was significantly increased in most cancers and showed a distinct correlation with prognosis. This enhanced expression of the SOAT1 gene was confirmed by evaluating SOAT1 protein More >

SHA LI^1,2,#, YAQIONG LIU^3,#, CHAOLING YAO¹, ANJI XU¹, XIAOLING ZENG⁴, YUXIN GE⁴, XIAOWU SHENG⁴, HAILIN ZHANG^1,2, XIAO ZHOU^1,2,*, YING LONG^1,2,*

BIOCELL, Vol.47, No.5, pp. 1003-1019, 2023, DOI:10.32604/biocell.2023.027209 - 10 April 2023

Abstract Background: Nuclear receptor binding SET domain protein-3 (NSD3) is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers. We aimed to investigate the prognostic value and potential function of NSD3 in 33 types of human cancer. Methods: The data were obtained from The Cancer Genome Atlas. Kaplan-Meier analysis, CIBERSORT, gene set enrichment analysis, and gene set variation analysis were performed. The expression of NSD3 was measured using quantitative real-time polymerase chain reaction and western blot. Results: The expression of NSD3 was altered in pan-cancer samples. Patients with higher levels of NDS3 generally had… More >

LIHUA CHEN^1,2,#, HONGTIAN ZHANG^1,2,#, YONG XIA^1,2, KAI SUN¹, WENJIN CHEN¹, RUXIANG XU^1,2,*

BIOCELL, Vol.47, No.5, pp. 1065-1073, 2023, DOI:10.32604/biocell.2023.025924 - 10 April 2023

Abstract Purpose: The present study summarized cases of children (n = 32) with medulloblastoma (MB) who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis. Methods: According to the risk stratification criteria, the cases were divided into the following four risk groups: low, standard, high, and very high. The 5-year overall survival (OS) and progression-free survival (PFS) rates were summarized. Further, the effects on the prognosis of tumor size, tumor stage, degree of resection, treatment mode, metastatic recurrence, molecular typing, and risk stratification were analyzed. Results: In the present study, following… 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 >

ZECHAO LU^1,#, FUCAI TANG^1,#, HAOBIN ZHOU^2,#, ZEGUANG LU^3,#, WANYAN CAI^4,#, JIAHAO ZHANG⁵, ZHICHENG TANG⁶, YONGCHANG LAI^1,*, ZHAOHUI HE^1,*

BIOCELL, Vol.47, No.2, pp. 339-350, 2023, DOI:10.32604/biocell.2023.023750 - 18 November 2022

Abstract Background: Establishing an appropriate prognostic model for PCa is essential for its effective treatment. Glycolysis is a vital energy-harvesting mechanism for tumors. Developing a prognostic model for PCa based on glycolysis-related genes is novel and has great potential. Methods: First, gene expression and clinical data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), and glycolysis-related genes were obtained from the Molecular Signatures Database (MSigDB). Gene enrichment analysis was performed to verify that glycolysis functions were enriched in the genes we obtained, which were used in non-negative matrix factorization… More >

Jie Ren^1,2, Chuqiao Xu³, Junliang Wang^2,4, Jie Zhang^2,*, Xinhua Mao⁴, Wei Shen⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 599-618, 2023, DOI:10.32604/cmes.2022.022415 - 29 September 2022

Abstract The prognostics health management (PHM) from the systematic view is critical to the healthy continuous operation of process manufacturing systems (PMS), with different kinds of dynamic interference events. This paper proposes a three leveled digital twin model for the systematic PHM of PMSs. The unit-leveled digital twin model of each basic device unit of PMSs is constructed based on edge computing, which can provide real-time monitoring and analysis of the device status. The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters, which are deployed for the manufacturing… More >

LIPING GONG¹, MING JIA^2,*

BIOCELL, Vol.47, No.1, pp. 109-123, 2023, DOI:10.32604/biocell.2023.024620 - 26 September 2022

Abstract ATP binding cassette subfamily C member 8 (ABCC8) encodes a protein regulating the ATP-sensitive potassium channel. Whether the level of ABCC8 mRNA in lower grade glioma (LGG) correlates with immune cell infiltration and patient outcomes has not been evaluated until now. Comparisons of ABCC8 expression between different tumors and normal tissues were evaluated by exploring publicly available datasets. The association between ABCC8 and tumor immune cell infiltration, diverse gene mutation characteristics, tumor mutation burden (TMB), and survival in LGG was also investigated in several independent datasets. Pathway enrichment analysis was conducted to search for ABCC8-associated… More >

J. Bradley Mason^1,*, Michael Creswell^2,*, Jillian Egan¹, Christopher Dall¹, Tamir Sholklapper², Lan Anh Galloway², Joanna Orzel², Harry Lee², Sameer Desale³, Lambros Stamatakis^2,4

Canadian Journal of Urology, Vol.29, No.3, pp. 11162-11169, 2022

Abstract Introduction: To identify prognostic factors for overall survival (OS) in patients with malignant ureteral obstruction (MUO) from gynecologic malignancy (GM), with the goal of improving patient selection for urinary diversion.
Materials and methods: Retrospective review of 126 patients with MUO from GM at two academic centers from 2011-2019. Factors related to OS identified by Cox regression proportional hazard model. In patients with incomplete survival data (n = 30), hospice was used as a surrogate for death. Multivariate models and receivers operating characteristics (ROC) curves were created for hemoglobin and albumin values.
Results: Overall median survival was 6.2 months.… 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 >

Yao Wu^1,2,#, Bin Qu^1,#, Haoming Shen¹, Hongyu Deng¹, Faqin Tang^1,*

Oncologie, Vol.24, No.3, pp. 499-512, 2022, DOI:10.32604/oncologie.2022.024951 - 19 September 2022

Abstract Background: Tumor-specific growth factor (TSGF) is associated with invasion and metastasis of various malignancies and adverse clinical outcomes. TSGF is also highly expressed in cervical cancer (CC), but its clinical value is unclear. Materials and Methods: Serum samples from malignancies, including CC, non-Hodgkin’s lymphoma (NHL), nasopharyngeal carcinoma (NPC), colorectal cancer (CRC), lung cancer (LCA), ovarian cancer (OC), breast cancer (BC), gastric carcinoma (GC), and pancreatic cancer (PC) were collected, and TSGF was detected using a chemiluminescence assay. The patients with CC were followed-up over five years, and their clinicopathological parameters were analyzed. Meanwhile, the pre- and post-treatment… More >