Xiao Jian Tan^1,2,3,*, Wai Loon Cheor², Ee Meng Cheng^4,5, Chee Chin Lim^3,4, Khairul Shakir Ab Rahman⁶

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2015-2060, 2025, DOI:10.32604/cmc.2025.063407 - 03 July 2025

Abstract This study systematically reviews the applications of generative artificial intelligence (GAI) in breast cancer research, focusing on its role in diagnosis and therapeutic development. While GAI has gained significant attention across various domains, its utility in breast cancer research has yet to be comprehensively reviewed. This study aims to fill that gap by synthesizing existing research into a unified document. A comprehensive search was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, resulting in the retrieval of 3827 articles, of which 31 were deemed eligible for analysis. The included studies were… More >

Khlood M. Mehdar¹, Toufique A. Soomro^2,3,*, Ahmed Ali⁴, Faisal Bin Ubaid⁵, Muhammad Irfan^6,*, Sabah Elshafie Mohammed Elshafie¹, Aisha M. Mashraqi⁷, Abdullah A. Asiri⁸, Nagla Hussien Mohamed Khalid⁸, Hanan T. Halawani⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3091-3132, 2025, DOI:10.32604/cmes.2025.065471 - 30 June 2025

Abstract Breast cancer remains one of the most pressing global health concerns, and early detection plays a crucial role in improving survival rates. Integrating digital mammography with computational techniques and advanced image processing has significantly enhanced the ability to identify abnormalities. However, existing methodologies face persistent challenges, including low image contrast, noise interference, and inaccuracies in segmenting regions of interest. To address these limitations, this study introduces a novel computational framework for analyzing mammographic images, evaluated using the Mammographic Image Analysis Society (MIAS) dataset comprising 322 samples. The proposed methodology follows a structured three-stage approach. Initially,… More >

MD. MAHMUDUL HASAN^1,2, SHAH MD. WASIN^2,3, MISHU RAHMAN^2,4, EVA AZME^1,2, MD. SAQLINE MOSTAQ⁵, MD. MAHEDI HASAN NAHID⁶, NOR MOHAMMAD⁷, FARJANA AFRIN TANJUM⁸, MD. ANAMUL HAQUE⁵, MD ASHIQ MAHMUD^5,*, MOHAMMAD NURUL AMIN^5,*

Oncology Research, Vol.33, No.7, pp. 1611-1632, 2025, DOI:10.32604/or.2025.062778 - 26 June 2025

Abstract Background: Breast cancer still stands to be the foremost contributor to cancer-related incidence and mortality in women globally accounting for about 14% of all female cancer-related deaths worldwide. This research seeks to illustrate the mechanisms and clinical findings of natural products against breast cancer treatment. Methodology: Required data for this review article was retrieved employing several readily obtainable search databases, including Web of Science^® (Thomson Reuters, USA), PubMed^® (U.S. National Library of Medicine, USA), and SciVerse Scopus^® (Elsevier Properties S.A., USA), taking into consideration certain search terms like “breast cancer,” “natural products against breast cancer,” and “Clinically… More > Graphic Abstract

QIAN LI^1,#, SHUNPENG ZHU^1,#, MINGXIAN ZHU², FANG WANG^1,*, JINHUA ZHOU^1,*

Oncology Research, Vol.33, No.7, pp. 1757-1767, 2025, DOI:10.32604/or.2025.062539 - 26 June 2025

Abstract Objectives: Our previous research demonstrated that SIC-19, an innovative inhibitor of salt-inducible kinase 2 (SIK2), effectively reduces SIK2 protein levels through the ubiquitin-proteasome pathway and exhibits synthetic lethal effects with poly ADP-ribose polymerase (PARP) inhibitors in ovarian cancer. However, the role of SIC-19 in triple-negative breast cancer (TNBC) and pancreatic cancer (PC) remains poorly defined. This study aims to investigate whether SIC-19 combined with PARP inhibitors can induce synthetic lethal effects in TNBC and PC. Methods: Cell lines with high SIK2 expression were identified through Western blot analysis. The combination’s impact was evaluated using Cell… More >

KEFAN LIU¹, XIAOSONG WANG¹, XIN YANG¹, BOWEN SHI¹, LEI XING^2,*, JUNXIA CHEN^1,*

Oncology Research, Vol.33, No.7, pp. 1709-1722, 2025, DOI:10.32604/or.2025.061721 - 26 June 2025

Abstract Background: Accumulating studies have shown the important role of circular RNAs (circRNAs) in the oncogenesis and metastasis of various cancers. We previously reported that circACTN4 could bind with FUBP1 to promote tumorigenesis and the development of breast cancer (BC) by increasing the expression of MYC. However, its exact molecular mechanism and biological function have not been fully elucidated. Methods: Here, Circular RNA microarray analysis was conducted in 3 pairs of BC and paracancerous tissues. The expression of circACTN4 in BC cells and tissues was detected via reverse transcription‒quantitative PCR (RT‒qPCR). Cell Counting Kit-8 (CCK-8), 5-ethynyl-2-deoxyuridine… More > Graphic Abstract

CHENG CHENG^1,2,3, CHAO SHI^1,2, SHANG WU^1,2, WEIXING WU³, JINGPING LI^1,2, SINUO GAO^1,2, MENG HAN³, YIMIN WANG³, XIANGMEI ZHANG^2,4,*, YUNJIANG LIU^1,2,*

Oncology Research, Vol.33, No.7, pp. 1633-1648, 2025, DOI:10.32604/or.2025.061637 - 26 June 2025

Abstract Objectives: While programmed cell death 1 (PD-1) inhibitors have improved cancer treatment, the function and mechanisms of programmed cell death ligand 1 (PD-L1), particularly when expressed by cancer cells, remain unclear. This study aims to explore the role of PD-L1 within breast cancer cells and identify key targets for future immunotherapy. Methods: RNA-seq was performed on breast cancer cells with silenced PD-L1 to screen for differentially expressed genes, followed by bioinformatics analysis. Clinical specimens from breast cancer patients undergoing primary surgery without preoperative treatment were collected, along with in vitro analysis to validate the potential mechanism. Results:… More >

JUNPING LIU^1,2, FEIRAN GAO¹, DANTING WANG², RUIXUE ZHOU², CHUNYAN HUANG^2,*

Oncology Research, Vol.33, No.6, pp. 1323-1334, 2025, DOI:10.32604/or.2024.059113 - 29 May 2025

Abstract Exosomes (EXOs) play an important role in the progression of breast cancer. EXOs, with a diameter of approximately 100 nm, have a simple structure but diverse functions, and can affect the development of breast cancer through signal transduction and molecular transfer, etc. Angiogenesis provides nutrients for the growth and metastasis of breast cancer and is a crucial part of tumor progression. The mechanism of tumor angiogenesis is complex. The VEGF/VEGFR pathway promotes angiogenesis by regulating the activities of ECs. Hypoxia, a common feature in the tumor microenvironment, as a key regulator, can affect angiogenesis… More > Graphic Abstract

ABDUR JAMIL¹, RIMSHA SIDDIQUE², FARYAL ALTAF³, DANIYAL WARRAICH⁴, FAIZAN AHMED⁵, ZAHEER QURESHI^6,*

Oncology Research, Vol.33, No.6, pp. 1289-1300, 2025, DOI:10.32604/or.2025.058790 - 29 May 2025

Abstract Background: Male breast cancer (MBC) is a rare but significant health concern, accounting for less than 1% of all breast cancer cases. Despite its low incidence, it presents unique clinical, genetic, and psychosocial challenges. Genetic predispositions, including BRCA2 mutations and hormonal imbalances, are key factors influencing the development of MBC. However, the rarity of the condition has led to limited research and fewer treatment guidelines specifically for male patients. Methods: A comprehensive literature review was conducted using PubMed, MEDLINE, and Embase databases to identify studies focusing on the epidemiology, risk factors, clinical presentation, diagnosis, treatment,… More >

Ahmed Ben Atitallah^1,*, Jannet Kamoun^2,3, Meshari D. Alanazi¹, Turki M. Alanazi⁴, Mohammed Albekairi¹, Khaled Kaaniche¹

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5761-5779, 2025, DOI:10.32604/cmc.2025.063634 - 19 May 2025

Abstract Breast Cancer (BC) remains a leading malignancy among women, resulting in high mortality rates. Early and accurate detection is crucial for improving patient outcomes. Traditional diagnostic tools, while effective, have limitations that reduce their accessibility and accuracy. This study investigates the use of Convolutional Neural Networks (CNNs) to enhance the diagnostic process of BC histopathology. Utilizing the BreakHis dataset, which contains thousands of histopathological images, we developed a CNN model designed to improve the speed and accuracy of image analysis. Our CNN architecture was designed with multiple convolutional layers, max-pooling layers, and a fully connected… More >

YU QIU^1,#, RUIHAN LIU^2,#, SHANSHAN HUANG¹, QIAOTING CAI¹, YI XIE¹, ZHITING HE¹, WEIGE TAN^2,*, XINHUA XIE^1,*

Oncology Research, Vol.33, No.5, pp. 1135-1147, 2025, DOI:10.32604/or.2025.062767 - 18 April 2025

Abstract Objectives: Deubiquitinase OTUB2 plays a critical role in the progression of various tumors. However, its specific role in triple-negative breast cancer (TNBC) remains unclear. This study aims to elucidate the biological function of OTUB2 in TNBC and uncover the underlying mechanisms. Methods: First, we found that the expression of OTUB2 was upregulated in TNBC by bioinformatics analysis, we then validated its expression in TNBC tissues and cells using immunohistochemistry (IHC) and qPCR and plotted the survival curves by Kaplan-Meier method. Gene set enrichment analysis (GSEA) suggested that OTUB2 may be involved in tumor proliferation and metastasis.… More > Graphic Abstract