GUANTING PANG^1,4,#, YAOHAN LI^2,4,#, QIWEN SHI³, JINGKUI TIAN⁴, HANMEI LOU^4,5,*, YUE FENG^4,5,*

Oncology Research, Vol.33, No.4, pp. 821-836, 2025, DOI:10.32604/or.2024.053772 - 19 March 2025

Abstract Immunotherapies have demonstrated notable clinical benefits in the treatment of cervical cancer (CC). However, the development of therapeutic resistance and diverse adverse effects in immunotherapy stem from complex interactions among biological processes and factors within the tumor immune microenvironment (TIME). Advanced omic technologies offer novel insights into a more expansive and thorough layer of the TIME. Furthermore, integrating multidimensional omics within the frameworks of systems biology and computational methodologies facilitates the generation of interpretable data outputs to characterize the clinical and biological trajectories of tumor behavior. In this review, we present advanced omics technologies that More >

Lingling Zhang^1,2, Hualing Wang³, Yawen Liu², Ling Li^2,*, Jianping Xiong^1,4,*

BIOCELL, Vol.49, No.2, pp. 253-267, 2025, DOI:10.32604/biocell.2025.061585 - 28 February 2025

Abstract Objective: Anillin (ANLN) is considered an oncogene in various cancers, but its effect on cervical cancer remains poorly understood. Hence, this study aimed to describe the action of ANLN on cervical cancer development and investigate the potential mechanism. Methods: Analysis of ANLN expression and its association with survival in carcinoma and endocervical adenocarcinoma (CESC) patients based on GEO and UALCAN databases. The tumor and adjacent normal tissues of 100 cervical cancer cases were harvested to detect the ANLN expression and explore its relationship with patient survival. Cell proliferation, apoptosis, migration, and invasion were measured by… More >

CHAOQUN WANG¹, TING ZHANG², CHAOHE ZHANG^3,*

Oncology Research, Vol.32, No.12, pp. 1867-1879, 2024, DOI:10.32604/or.2024.044547 - 13 November 2024

Abstract Background: Drug resistance is the main factor contributing to cancer recurrence and poor prognosis. Exploration of drug resistance-related mechanisms and effective therapeutic targets are the aim of molecular targeted therapy. In our study, the role of long non-coding RNA (lncRNA) AFAP1-AS1 in gemcitabine resistance and related mechanisms were explored in cervical cancer cells. Methods: Gemcitabine-resistant cervical cancer cell lines HT-3-Gem and SW756-Gem were constructed using the gemcitabine concentration gradient method. The overall survival rates and recurrence-free survival rates were evaluated by Kaplan-Meier analysis. The interaction was verified through a Dual-luciferase reporter gene assay and a… More > Graphic Abstract

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1817-1817, 2024, DOI:10.32604/or.2024.056892 - 16 October 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.9, pp. 1539-1539, 2024, DOI:10.32604/or.2024.056126 - 23 August 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.8, pp. 1371-1371, 2024, DOI:10.32604/or.2024.055030 - 17 July 2024

Abstract This article has no abstract. More >

Javaid Ali¹, Armando Ciancio², Kashif Ali Khan³, Nauman Raza^4,5, Haci Mehmet Baskonus^6,*, Muhammad Luqman¹, Zafar-Ullah Khan⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2275-2296, 2024, DOI:10.32604/cmes.2024.046923 - 08 July 2024

Abstract This study proposes a structure-preserving evolutionary framework to find a semi-analytical approximate solution for a nonlinear cervical cancer epidemic (CCE) model. The underlying CCE model lacks a closed-form exact solution. Numerical solutions obtained through traditional finite difference schemes do not ensure the preservation of the model’s necessary properties, such as positivity, boundedness, and feasibility. Therefore, the development of structure-preserving semi-analytical approaches is always necessary. This research introduces an intelligently supervised computational paradigm to solve the underlying CCE model’s physical properties by formulating an equivalent unconstrained optimization problem. Singularity-free safe Padé rational functions approximate the mathematical More >

YUANLIN LIU^1,3,#, YAN LIU^2,#, YAN WANG², QIANG WANG², YAN YAN¹, DANDAN ZHANG^2,*, HUIQIN LIU^2,*

Oncology Research, Vol.32, No.7, pp. 1221-1229, 2024, DOI:10.32604/or.2024.047454 - 20 June 2024

Abstract At present, the role of many long non-coding RNAs (lncRNAs) as tumor suppressors in the formation and development of cervical cancer (CC) has been studied. However, lncRNA prostate cancer gene expression marker 1 (PCGEM1), whose high expression not only aggravates ovarian cancer but also can induce tumorigenesis and endometrial cancer progression, has not been studied in CC. The objective of this study was to investigate the expression and the underlying role of PCGEM1 in CC. The relative expression of PCGEM1 in CC cells was detected by real-time PCR. After the suppression of PCGEM1 expression by… More > Graphic Abstract

Muhammad Umar Nasir¹, Omar Kassem Khalil², Karamath Ateeq³, Bassam SaleemAllah Almogadwy⁴, M. A. Khan⁵, Khan Muhammad Adnan^6,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 963-981, 2024, DOI:10.32604/cmc.2024.047874 - 25 April 2024

Abstract Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in the fourth position because of the leading death cause in its premature stages. The cervix which is the lower end of the vagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumor in the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approach uses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer to train… More >

JIA SHAO^1,2, CAN ZHANG², YAONAN TANG², AIQIN HE², WEIPEI ZHU^1,*

BIOCELL, Vol.48, No.4, pp. 571-580, 2024, DOI:10.32604/biocell.2024.049092 - 09 April 2024

Abstract Objective: Previous studies indicated that aberrant circular RNA (circRNA) expression affects gene expression regulatory networks, leading to the aberrant activation of tumor pathways and promoting tumor cell growth. However, the expression, clinical significance, and effects on cell propagation, invasion, and dissemination of circRNA_001896 in cervical cancer (CC) tissues remain unclear. Methods: The Gene Expression Omnibus (GEO) datasets (GSE113696 and GSE102686) were used to examine differential circRNA expression in CC and adjacent tissues. The expression of circRNA_001896 was detected in 72 CC patients using fluorescence quantitative PCR. Correlation analysis with clinical pathological features was performed through… More >