Technology in Cancer Research & Treatment最新文献

{"title":"Retraction: \"Mir-452-3p: A Potential Tumor Promoter That Targets the CPEB3/EGFR Axis in Human Hepatocellular Carcinoma\".","authors":"","doi":"10.1177/15330338251377135","DOIUrl":"10.1177/15330338251377135","url":null,"abstract":"","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251377135"},"PeriodicalIF":2.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12420964/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145030526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Peritumoral and Intratumoral Radiomics with Deep Learning for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer Using DCE-MRI.","authors":"Qiaomei Zhao, Hui Zhang, Wei Xing","doi":"10.1177/15330338251374945","DOIUrl":"10.1177/15330338251374945","url":null,"abstract":"<p><p>BackgroundLymphovascular invasion (LVI) is a critical factor in breast cancer (BC) prognosis and treatment planning, yet preoperative non-invasive assessment remains challenging. This research proposes the design and validation of a comprehensive artificial intelligence (AI) system that combines intratumoral and peritumoral radiomic analysis, deep learning (DL)-derived features, and clinical risk indicators extracted from dynamic contrast-enhanced MRI (DCE-MRI), with the goal of predicting LVI status in patients with BC.MethodsThis multi-institutional retrospective study included 496 IBC patients (training cohort: n = 344; validation cohort: n = 152). DCE-MRI scans were acquired preoperatively, and intratumoral/peritumoral (0-1, 1-3, 3-5 mm) radiomics features were extracted. A ResNet-50-based DL model was applied to 2.5D tumor slices, and clinical risk factors were identified via logistic regression. The least absolute shrinkage and selection operator (LASSO) method was employed to identify the most relevant features. The ensemble model was created by combining the Intra- Peri Fusion model with the clinically independent risk factors. Model performance was evaluated by sensitivity, specificity, AUC, and decision curve analysis (DCA).ResultsLVI was present in 33.8% and 32.7% of the training and validation cohorts. The SVM (Support Vector Machine) Intra-Peri Fusion model reached AUCs of 0.921 and 0.906, showing enhanced discriminative performance over single-region approaches. The ensemble model, derived from integrating a fusion model with clinical risk factors, demonstrated superior performance with AUCs of 0.951 (training) and 0.929 (validation) and high net benefit in DCA. Calibration curves confirmed excellent agreement between predicted and observed outcomes.ConclusionThe AI-driven ensemble model combining radiomics, DL, and clinical features enables accurate preoperative prediction of LVI in IBC, which holds potential for optimizing surgical planning and adjuvant therapy strategies.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251374945"},"PeriodicalIF":2.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409024/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144969958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.","authors":"Weimin Xu, Bowen Zheng, Chanjuan Wen, Hui Zeng, Sina Wang, Zilong He, Xin Liao, Weiguo Chen, Yingjia Li, Genggeng Qin","doi":"10.1177/15330338251334735","DOIUrl":"https://doi.org/10.1177/15330338251334735","url":null,"abstract":"<p><p>IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography (CEM) and ultrasound (US) breast imaging reporting and data systems (BI-RADS).MethodsThis retrospective study included patients diagnosed with primary breast cancer. Two experienced radiologists extracted the BI-RADS features from the largest cross-section of the lesions and axillary lymph nodes based on CEM and US images, creating three datasets. Each dataset will train six base models to predict axillary lymph nodes, with pathological results serving as the gold standard. The top three models were used to train the five ensemble models. Additionally, SHapley Additive exPlanations (SHAP) was used to interpret the optimal model. The receiver-operating characteristic curve (ROC) and AUC were used to evaluate model performance.ResultsThis study involved 292 female patients, of whom 99 had axillary lymph node metastasis and 193 did not. The combination of CEM and ultrasound BI-RADS demonstrated the best performance in predicting axillary lymph node metastasis. Among these, the LightGBM achieved the highest AUC (0.762) and specificity (86.67%, while the ensemble model using RF as the meta-model had an AUC (0.754) and specificity (83.33%. The most important variables identified by SHAP were the long diameters of the lymph nodes in the CEM recombined image, along with their complete morphology in the low-energy image.ConclusionThe machine learning model using CEM and US BI-RADS features accurately predicted axillary lymph node metastasis before surgery, thereby serving as a valuable tool for clinical decision-making in patients with breast cancer.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251334735"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deregulation of Exosomal miR-17, miR-20a and TGFBR2 in Head and Neck Cancer Patients.","authors":"Muhammad Rizwan, Ishrat Mahjabeen, Muhammad Shahbaz Haris, Fouzia Qayyum, Mahmood Akhtar Kayani","doi":"10.1177/15330338251323314","DOIUrl":"10.1177/15330338251323314","url":null,"abstract":"<p><p><b>Introduction:</b> Exosomes play significant roles in transferring cargo materials like proteins, RNAs (including miRNAs), and DNA. However, the role of serum exosome shuttled RNAs and miRNAs in head and neck cancer (HNC) remains unclear. This study assessed the diagnostic and prognostic significance of exosomal <i>miR-17</i>, <i>miR-20a</i>, and <i>TGFBR2</i> in HNC patients. <b>Methods:</b> Exosomes were isolated, from 400 confirmed HNC patients and 400 healthy controls, and characterized by NTA, TEM, Immunolabelling, and ELISA. Quantitative PCR was used to check the expressions of exosomal molecules. Oxidative stress was also measured through ELISA in cancer patients and healthy controls. <b>Results:</b> Data analysis revealed significant dysregulation in the expressional levels of miR-17 (p < .0001), miR-20a (p = .0003), and <i>TGFBR2</i> (p = .0005), which were found associated with aggressiveness and poor survival of HNC patients. Spearman correlation revealed a positive statistically significant association between miR-20a versus miR-17 (r = 0.534; p < .01), while a negative correlation was found between <i>TGFBR2</i> versus miR-17 (r = -0.240; p = .015). Significantly decreased levels of peroxidase (POD) (p < .0001) and an increased level of 8-Oxoguanine (p < .0001) were observed. <b>Conclusion:</b> The results showed that these exosomal miRNAs and target gene may serve as potential and noninvasive diagnostic and prognostic markers for head and neck cancer patients.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251323314"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11848883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Inspiratory Breath-Hold Technique for Patients with Left-Sided Breast Cancer: Dosimetric Analysis, Clinical Evaluation, and Prediction.","authors":"Jing Shen, Kun Zhang, Xiangyin Meng, Bo Yang, Jiabin Ma, Ke Hu, Fuquan Zhang, Xiaorong Hou","doi":"10.1177/15330338251329120","DOIUrl":"https://doi.org/10.1177/15330338251329120","url":null,"abstract":"<p><p>IntroductionBreast radiotherapy is associated with a higher risk of cardiac diseases. Although deep inspiration breath-hold (DIBH) reduces the heart dose, it is underutilized. The selection of proper candidates for DIBH remains an unresolved issue. This study compared dosimetric parameters between free breathing (FB) and DIBH, monitored myocardial enzymes, and aimed to identify factors that can predict cardiac injury thus developing a method to identify proper patients for DIBH.MethodsThis is a prospective cohort study, enrolling 58 patients with left-sided breast cancer following breast-conserving surgery. All patients underwent computed tomography scans in both FB and DIBH states. A comparative analysis of dosimetric features between DIBH and FB was conducted. Myocardial enzyme was monitored until six months post-radiation therapy. T-tests were used to assess differences between the DIBH and the FB. Pearson correlation and receiver operating characteristic (ROC) analysis was conducted to identify factors associated with the subclinical acute cardiac injury.ResultsThe mean heart dose (MHD) of the DIBH group significantly dropped as compared to the FB group (3.81 Gy vs 1.65 Gy p = 0.001). Cardiac V40, V30, V25, V10, and V5 volumes also significantly reduced. 9(15.51%) patients exhibited increased myocardial enzyme, with cTnI being the most sensitive indicator. The heart dose was a predictor for the cardiac enzyme's elevation. The ROC curve analysis revealed an area under the curve of 0.6. With an MHD threshold of 2 Gy, both sensitivity and specificity exceeded 0.7.ConclusionDIBH significantly diminishes radiation exposure to the heart and LAD compared with FB. Cardiac enzyme analysis facilitates the early detection of cardiac injury following radiation therapy. An MHD threshold of less than 2 Gy is associated with a reduced risk of subclinical cardiac injury, potentially obviating the need for DIBH, which optimizes clinical efficiency and economic viability.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251329120"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12033618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143982945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cancer Genetics in the Arab World.","authors":"Waleed S Al Amri, Muna Al Jabri, Aisha Al Abri, Thomas A Hughes","doi":"10.1177/15330338251336829","DOIUrl":"https://doi.org/10.1177/15330338251336829","url":null,"abstract":"<p><p>Cancer remains a major global health burden, with incidence rates rising globally. The Arab world, which is often regarded as an underrepresented population in literature, shows distinct patterns in cancer incidences, genetics, and outcomes in comparison with Western populations. This review aims to highlight key genomic studies conducted in the Arab world. We describe the epidemiological and genetic landscape of cancer in the Arab populations, focusing on lung, breast, and colorectal cancers, given their prominence and distinctive patterns in the region. We utilised data from GLOBOCAN 2022 and published genomic studies to assess subregional incidence trends, identify significant mutations, and explore hereditary and early-onset cancers profiles. Breast, lung, and colorectal cancers dominate the cancer profile in the region, with disparities in genetic alterations when compared to global trends. Variation in <i>EGFR</i> mutation frequencies in lung cancer across diverse ethnicities in the MENA region is representative of the extreme heterogeneity in the Arab region. Variations in <i>BRCA1/2</i> mutation frequency, and unique founder mutations highlight breast cancer's particular regional genetic traits. Similarly, colorectal cancer studies show variations in mutational profiles, such as a low incidence of <i>BRAF</i> mutations and distinct epigenetic characteristics that represent region-specific disease pathways. Early-onset cancers, particularly breast and colorectal cancers, occur at higher rates than in Western populations and often diverge from the typical germline mutation patterns reported globally. The review emphasises the importance of conducting localised genetic studies in improving personalised medicine and public health strategies. Despite these efforts, significant gaps remain, particularly in understanding early-onset cancers and hereditary cancer genetic disorders, which are overrepresented in the region. Further research on the genetic basis of cancer in Arab populations is essential for advancing personalised treatment and improving cancer outcomes in these under-researched groups.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251336829"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12035023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144050212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction Notice: Silencing of Long Non-Coding RNA FGD5-AS1 Inhibits the Progression of Non-Small Cell Lung Cancer by Regulating the miR-493-5p/DDX5 Axis.","authors":"","doi":"10.1177/15330338241311208","DOIUrl":"10.1177/15330338241311208","url":null,"abstract":"","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338241311208"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11881124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Zinc Finger Proteins in Colorectal Cancer: Insights into Molecular Mechanisms and Therapeutic Implications.","authors":"Chongyuan Lan, Ming Qiu, Minglin Lin","doi":"10.1177/15330338251334447","DOIUrl":"https://doi.org/10.1177/15330338251334447","url":null,"abstract":"<p><p>Colorectal cancer ranks as one of the most common malignancies globally, with mortality rates second only to lung cancer. Despite improvements in diagnostic and therapeutic approaches, long-term survival rates for colorectal cancer patients remain unsatisfactory. The onset and progression of this disease involve intricate molecular mechanisms, influenced by a range of biological factors. Zinc finger proteins play a critical role in these processes, impacting tumor development and patient prognosis. This review summarizes current research on zinc finger proteins in colorectal cancer, highlighting key findings and advancements in understanding their role in tumor biology.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251334447"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12032436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circulating Immune Features Synergizing Neutrophil-to-Lymphocyte Ratio in Prediction of Poor Survival of Early-Stage Hepatocellular Carcinoma After Thermal Ablation.","authors":"Fangying Fan, Guoping Dong, Chuanhui Han, Yanchun Luo, Xin Li, Xuanjuan Dong, Zhen Wang, Ping Liang, Jie Yu","doi":"10.1177/15330338241309402","DOIUrl":"10.1177/15330338241309402","url":null,"abstract":"<p><p>Background and AimPredictors of neutrophil-to-lymphocyte ratio (NLR) and traditional clinical variables for hepatocellular carcinoma (HCC) prognosis after locoregional therapies were useful while exhibited modest prognostic performances. We dig out the potential of circulating immune features for HCC prognosis prediction.Methods244 patients with early-stage HCC who were treated with thermal ablation and performed the peripheral blood mononuclear cells (PBMCs) tests were included. Patients were randomly assigned in 3:1 ratio to discovery (n = 183) and validation (n = 62) sets. Three models, including clinical (Clin-model), NLR-Clin-model and Immune-NLR-Clin-model were constructed using Cox regression model. Concordance index (c-index), integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were used for performance evaluation.ResultsThe Immune-NLR-Clin-model exhibited the best performance of 0.706 (95% CI:0.644-0.768) and 0.702 (95% CI:0.566-0.837) in discovery and validation sets, respectively. At 36-month prediction, the IDI and continuous-NRI show trend of improvement, with the IDI was 0.050 (95%CI: -0.5%-12.5%) (<i><b>P </b></i>< .0270) and the continuous-NRI was 0.147 (95%CI: -0.5%-36.6%) (<i><b>P </b></i>= .060) in discovery cohort. <b>Tre</b>g, C<b>D</b>8⁺ and <b>N</b>LR from the immune-related combined model were selected to build <b>TREND</b> score. The median overall survival in TREND-low risk and high risk were 98.08 and 62.00 months, respectively (<b><i>P</i></b> < .0001). The discrimination ability approached significantly in validation set (<b><i>P</i></b> = .3200).ConclusionsCirculating immune features may be helpful components aiding NLR for HCC predictive models.</p>","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338241309402"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11907606/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143626125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction notice: \"MicroRNA-199a Inhibits Cell Proliferation, Migration, and Invasion and Activates AKT/mTOR Signaling Pathway by Targeting B7-H3 in Cervical Cancer\".","authors":"","doi":"10.1177/15330338251343588","DOIUrl":"10.1177/15330338251343588","url":null,"abstract":"","PeriodicalId":22203,"journal":{"name":"Technology in Cancer Research & Treatment","volume":"24 ","pages":"15330338251343588"},"PeriodicalIF":2.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12117228/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}