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  • Open Access

    ARTICLE

    Epidemiological and clinical characteristics of lung cancer in Saudi Arabia: a retrospective study in single oncology center

    YOUSEF KATIB1,*, NASSER MULLA2

    Oncology Research, Vol.32, No.11, pp. 1803-1809, 2024, DOI:10.32604/or.2024.052358 - 16 October 2024

    Abstract Background: Lung cancer (LC) is one of the most common neoplastic diseases and a leading cause of death in Saudi Arabia. Its incidence in Saudi Arabia has increased by more than 3% within two decades. Our study aimed to describe the epidemiological and genetic landscapes of LC in Al-Madinah city in Saudi Arabia. Methods: A retrospective analysis was conducted on the medical records of 65 patients diagnosed with lung cancer between 2015 and 2021 at a single medical oncology center in Al-Madinah city of Saudi Arabia. Results: The mean patients’ age was 59.2 years, with 50… More >

  • Open Access

    ARTICLE

    EfficientNetB1 Deep Learning Model for Microscopic Lung Cancer Lesion Detection and Classification Using Histopathological Images

    Rabia Javed1, Tanzila Saba2, Tahani Jaser Alahmadi3,*, Sarah Al-Otaibi4, Bayan AlGhofaily2, Amjad Rehman2

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 809-825, 2024, DOI:10.32604/cmc.2024.052755 - 15 October 2024

    Abstract Cancer poses a significant threat due to its aggressive nature, potential for widespread metastasis, and inherent heterogeneity, which often leads to resistance to chemotherapy. Lung cancer ranks among the most prevalent forms of cancer worldwide, affecting individuals of all genders. Timely and accurate lung cancer detection is critical for improving cancer patients’ treatment outcomes and survival rates. Screening examinations for lung cancer detection, however, frequently fall short of detecting small polyps and cancers. To address these limitations, computer-aided techniques for lung cancer detection prove to be invaluable resources for both healthcare practitioners and patients alike.… More >

  • Open Access

    ARTICLE

    Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

    Nahed Tawfik1,*, Heba M. Emara2, Walid El-Shafai3, Naglaa F. Soliman4, Abeer D. Algarni4, Fathi E. Abd El-Samie4

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 271-307, 2024, DOI:10.32604/cmc.2024.052404 - 15 October 2024

    Abstract Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins, including hereditary factors and various clinical changes. It stands as the deadliest type of cancer and a significant cause of cancer-related deaths globally. Early diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately, leading to improved prognosis and higher survival rates. The significant increase in both the incidence and mortality rates of lung cancer, particularly its ranking as the second most prevalent cancer among women worldwide, underscores the need for comprehensive research into efficient… More >

  • Open Access

    ARTICLE

    Metformin promotes anti-tumor immunity in STK11 mutant NSCLC through AXIN1-dependent upregulation of multiple nucleotide metabolites

    ZHIGUO WANG1,2,#, KUNLIN LI2,#, CONGHUA LU2, MINGXIA FENG2, CAIYU LIN2, GUOFANG YIN1, DAN LUO1, WENYI LIU3, KAIYU JIN4, YUANYAO DOU2, DI WU2, JIE ZHENG2, KEJUN ZHANG5, LI LI2,*, XIANMING FAN1,*

    Oncology Research, Vol.32, No.10, pp. 1637-1648, 2024, DOI:10.32604/or.2024.052664 - 18 September 2024

    Abstract Background: Metformin has pleiotropic effects beyond glucose reduction, including tumor inhibition and immune regulation. It enhanced the anti-tumor effects of programmed cell death protein 1 (PD-1) inhibitors in serine/threonine kinase 11 (STK11) mutant non-small cell lung cancer (NSCLC) through an axis inhibition protein 1 (AXIN1)-dependent manner. However, the alterations of tumor metabolism and metabolites upon metformin administration remain unclear. Methods: We performed untargeted metabolomics using liquid chromatography (LC)-mass spectrometry (MS)/MS system and conducted cell experiments to verify the results of bioinformatics analysis. Results: According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, most… More > Graphic Abstract

    Metformin promotes anti-tumor immunity in <i>STK11</i> mutant NSCLC through AXIN1-dependent upregulation of multiple nucleotide metabolites

  • Open Access

    REVIEW

    The role of cholesterol metabolism in lung cancer

    WEIGANG XIU1,#, XINGYU LIU1,2,#, KAIXIN HU1,2, QIN ZHANG3,*, HUASHAN SHI4,*

    Oncology Research, Vol.32, No.10, pp. 1613-1621, 2024, DOI:10.32604/or.2024.047933 - 18 September 2024

    Abstract Elevated serum cholesterol metabolism is associated with a reduced risk of lung cancer. Disrupted cholesterol metabolism is evident in both lung cancer patients and tumor cells. Inhibiting tumor cell cholesterol uptake or biosynthesis pathways, through the modulation of receptors and enzymes such as liver X receptor and sterol-regulatory element binding protein 2, effectively restrains lung tumor growth. Similarly, promoting cholesterol excretion yields comparable effects. Cholesterol metabolites, including oxysterols and isoprenoids, play a crucial role in regulating cholesterol metabolism within tumor cells, consequently impacting cancer progression. In lung cancer patients, both the cholesterol levels in the… More >

  • Open Access

    ARTICLE

    Metaheuristic-Driven Two-Stage Ensemble Deep Learning for Lung/Colon Cancer Classification

    Pouyan Razmjouei1, Elaheh Moharamkhani2, Mohamad Hasanvand3, Maryam Daneshfar4, Mohammad Shokouhifar5,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3855-3880, 2024, DOI:10.32604/cmc.2024.054460 - 12 September 2024

    Abstract This study investigates the application of deep learning, ensemble learning, metaheuristic optimization, and image processing techniques for detecting lung and colon cancers, aiming to enhance treatment efficacy and improve survival rates. We introduce a metaheuristic-driven two-stage ensemble deep learning model for efficient lung/colon cancer classification. The diagnosis of lung and colon cancers is attempted using several unique indicators by different versions of deep Convolutional Neural Networks (CNNs) in feature extraction and model constructions, and utilizing the power of various Machine Learning (ML) algorithms for final classification. Specifically, we consider different scenarios consisting of two-class colon… More >

  • Open Access

    RETRACTION

    Retraction: Gamma Irradiation Upregulates B-cell Translocation Gene 2 to Attenuate Cell Proliferation of Lung Cancer Cells Through the JNK and NF-κB Pathways

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.9, pp. 1527-1527, 2024, DOI:10.32604/or.2024.056120 - 23 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Comparative analysis of breast and lung cancer survival rates and clinical trial enrollments among rural and urban patients in Georgia

    TATIANA KURILO*, REBECCA D. PENTZ

    Oncology Research, Vol.32, No.9, pp. 1401-1406, 2024, DOI:10.32604/or.2024.050266 - 23 August 2024

    Abstract Objectives: Rural patients have poor cancer outcomes and clinical trial (CT) enrollment compared to urban patients due to attitudinal, awareness, and healthcare access differential. Knowledge of cancer survival disparities and CT enrollment is important for designing interventions and innovative approaches to address the stated barriers. The study explores the potential disparities in cancer survival rates and clinical trial enrollments in rural and urban breast and lung cancer patients. Our hypotheses are that for both cancer types, urban cancer patients will have longer 5-year survival rates and higher enrollment rates in clinical trials than those in… More >

  • Open Access

    RETRACTION

    Retraction: Propofol Inhibits Lung Cancer A549 Cell Growth and Epithelial-Mesenchymal Transition Process by Upregulation of MicroRNA-1284

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.8, pp. 1377-1377, 2024, DOI:10.32604/or.2024.055033 - 17 July 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Silencing of the long non-coding RNA LINC00265 triggers autophagy and apoptosis in lung cancer by reducing protein stability of SIN3A oncogene

    XIAOBI HUANG1,#, CHUNYUAN CHEN2, YONGYANG CHEN1,#, HONGLIAN ZHOU1, YONGHUA CHEN1, ZHONG HUANG1, YULIU XIE1, BAIYANG LIU1, YUDONG GUO1, ZHIXIONG YANG1, GUANGHUA CHEN3,*, WENMEI SU1,4,*

    Oncology Research, Vol.32, No.7, pp. 1185-1195, 2024, DOI:10.32604/or.2023.030771 - 20 June 2024

    Abstract Background: Long non-coding RNAs are important regulators in cancer biology and function either as tumor suppressors or as oncogenes. Their dysregulation has been closely associated with tumorigenesis. LINC00265 is upregulated in lung adenocarcinoma and is a prognostic biomarker of this cancer. However, the mechanism underlying its function in cancer progression remains poorly understood. Methods: Here, the regulatory role of LINC00265 in lung adenocarcinoma was examined using lung cancer cell lines, clinical samples, and xenografts. Results: We found that high levels of LINC00265 expression were associated with shorter overall survival rate of patients, whereas knockdown of LINC00265 inhibited proliferation… More >

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