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

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 was used to… More >

Shengzhe Ma^1,#, Xiaoming Zhu^1,#, Cheng Xin^1,#, Fuao Cao¹, Mengnan Xu¹, Xiangling Han¹, Jinke Sui^3,*, Wenjun Chang^2,*, Wei Zhang^1,*

Oncologie, Vol.24, No.4, pp. 823-833, 2022, DOI:10.32604/oncologie.2022.025411

Abstract Background: Reticulocalbin 3 (RCN3) has been associated with several malignancies. However, its role in colorectal cancer (CRC) remains controversial. Thus, this study aimed to investigate the role of RCN3 in CRC prognosis. Methods: The clinical significance of RCN3 expression in CRC was evaluated in a large cohort of 483 patients. Normal tissues, carcinoma, para-carcinoma, adenoma, and metastatic tissues were evaluated by immunohistochemistry. We investigated the association between RCN3 expression and CRC occurrence in tumors and other tissues. Prognostic factors were also evaluated by Kaplan-Meier survival analysis and the Cox regression model. Results: RCN3 was significantly overexpressed in CRC and metastatic… More >

Yu Xiao^1,2,#, Jianping Jiang^3,#, Yan Chen^1,4, Yi Huang¹, Changyuan Wei^1,*

Oncologie, Vol.24, No.4, pp. 729-742, 2022, DOI:10.32604/oncologie.2022.026118

Abstract Background: Immunotherapy is becoming a powerful approach in the treatment of breast cancer. However, high response rates in the majority of breast cancer patients have yet to be achieved. Materials and Methods: Based on public data sources, we identified 22 genes that are correlated with PD-1 expression as well as differentially expressed between tumor tissues and normal tissues, and high expression of all the key genes was correlated with a superior survival outcome. Using the least absolute shrinkage and selection operator Cox regression model, a risk score was constructed. Results: A multivariate Cox analysis showed that the constructed risk score… More >

SHOUKAI YU^1,2,3,*, LINGMEI QIAN¹, JUN MA^1,*

Oncology Research, Vol.30, No.1, pp. 13-22, 2022, DOI:10.32604/or.2022.026141

Abstract Apolipoprotein E (APOE), a gene identified as one of the strongest genetic factors contributing to the risk determinant of developing late-onset Alzheimer’s disease (AD), may also contribute to the risk of cancer. However, no pan-cancer analysis has been conducted specifically for the APOE gene. In this study, we investigated the oncogenic role of the APOE gene across cancers by GEO (Gene Expression Omnibus) and TCGA (The Cancer Genome Atlas). Based on the available data, we found that most cancer types overexpress APOE, and clear associations exist between the expression level of APOE and prognosis in tumor patients. The expression of… 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

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 samples and was… 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

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 TSGF levels of… More >

DAWEI ZHU^1,#, LEI ZHANG^1,#, XIAOKAI SHI¹, SHENGLIN GAO¹, CHUANG YUE¹, LIFENG ZHANG¹, YU BAI¹, QIFENG WANG², ATSUSHI OKADA³, TAKAHIRO YASUI³, CHAO WANG^1,4, XINGANG CUI^4,5,*, LI ZUO^1,*

Oncology Research, Vol.29, No.3, pp. 159-174, 2021, DOI:10.32604/or.2022.03458

Abstract Identifying prognostic indicators of clear cell renal cell carcinoma (ccRCC) and elucidating the mechanisms underlying ccRCC progression are crucial for improving ccRCC patient prognosis. This study investigated the clinical significance and biological role of Ring finger protein 43 (RNF43) in ccRCC. Two independent cohorts of patients with ccRCC were employed to determine the prognostic significance of RNF43 by immunohistochemistry and statistical analyses. In vitro and in vivo experiments, RNA-seq, and other techniques were used to determine the biological role of RNF43 in ccRCC and related molecular mechanisms. RNF43 expression was commonly decreased in ccRCC specimens, and low expression of RNF43… More >

Saud S. Alotaibi^*

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

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 novel ensemble classification strategy dubbed… More >

Yi Chen^1,#, Liyun Huang^1,#, Zuwu Wei¹, Xiaoling Liu¹, Lihong Chen^1,2,*, Bin Wang^1,2,*

Oncologie, Vol.24, No.2, pp. 329-340, 2022, DOI:10.32604/oncologie.2022.022521

Abstract Background: The effective method for predicting prognosis of ICC is still lack. This study aims to establish and verify an effective prognostic nomogram model for intrahepatic cholangiocarcinoma (ICC) after partial hepatectomy. Materials and Methods: A nomogram model was developed in a cohort of 127 patients from January 2015 to December 2019. General clinical characteristics including preoperative physical examination data and postoperative pathological features were obtained. The independent risk factors identified by univariate and multivariate COX proportional hazards regression models were used to construct nomogram model. Predictive accuracy and discriminative ability were determined using a concordance index and a calibration curve.… More >

Gang Li^*, Tie Chong^*, Jie Yang^†, Hongliang Li^*, Haiwen Chen^*

Oncology Research, Vol.27, No.1, pp. 125-137, 2019, DOI:10.3727/096504018X15213115046567

Abstract KIFC1 (kinesin family member C1) plays a critical role in clustering of extra centrosomes in various cancer cells and thus could be considered as a promising therapeutic target. However, whether KIFC1 is involved in the procession of renal cell carcinoma (RCC) still remains unclear. In this study, we found that KIFC1 was upregulated in RCC tissues and is responsible for RCC tumorigenesis (p<0.001). The high expression of KIFC1 correlates with aggressive clinicopathologic parameters. Kaplan–Meier analysis suggested that KIFC1 was associated with poor survival prognosis in RCC. Silencing KIFC1 dramatically resulted in inhibition of proliferation, delayed the cell cycle at G₂/M… More >