Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 7, P. 100245 - 100245
Published: May 6, 2023
Breast cancer is the most common life-threatening in women and one of leading causes death. Early diagnosis best defenses against spread breast cancer. Machine learning (ML) tools are now available for detection prediction. This study presents a comparative assessment machine models diagnosing based on various classification schemes. Our methodology well-organized data collection, preparation, transformation, exploratory analysis (including correlation matrix, histogram, distribution). All characteristics compared with results applying Least Absolute Shrinkage Selection Operator (LASSO) approach, which selects important attributes. Logistic Regression (LR), K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), (GB), Random Forest (RF), Multilayer Perceptron (MLP), Support Vector (SVM) algorithms have been applied this study. We achieved maximum accuracy 90.68% by RF LASSO. Similarly, recall KNN was 98.80%, precision MLP 92.50%, F1 score 94.60%.
Language: Английский
Citations
40
Cancers, Journal Year: 2023, Volume and Issue: 15(17), P. 4250 - 4250
Published: Aug. 24, 2023
Hormones produced by adipocytes, leptin and adiponectin, are associated with the process of carcinogenesis. Both these adipokines have well-proven oncologic potential can affect many aspects tumorigenesis, from initiation primary tumor growth to metastatic progression. Involvement in formation cancer includes interactions microenvironment its components, such as tumor-associated macrophages, cancer-associated fibroblasts, extracellular matrix metalloproteinases. Furthermore, participate epithelial–mesenchymal transition connect angiogenesis, which is critical for invasiveness cell migration. In addition, an enormous amount evidence has demonstrated that altered concentrations adipocyte-derived hormones expression their receptors tumors poor prognosis various types cancer. Therefore, adiponectin dysfunction play a prominent role impact invasion metastasis different ways. This review clearly comprehensively summarizes recent findings presents initiation, promotion progression, focusing on associations components well roles angiogenesis.
Language: Английский
Citations
34
Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 136, P. 108939 - 108939
Published: July 17, 2024
Language: Английский
Citations
7
Breast Cancer Targets and Therapy, Journal Year: 2025, Volume and Issue: Volume 17, P. 79 - 102
Published: Jan. 1, 2025
Adipokines, bioactive peptides secreted by adipose tissue, appear to contribute breast cancer development and progression. While numerous studies suggest their role in promoting tumor growth, the exact mechanisms of involvement are not yet completely understood. In this project, varying concentrations recombinant human adipokines (Leptin, Lipocalin-2, PAI-1, Resistin) were used study effects on four selected cell lines (EVSA-T, MCF-7, MDA-MB-231, SK-Br-3). Over a five-day proliferation phase, linear growth was assessed calculating doubling times malignancy-associated changes gene protein expression identified using quantitative TaqMan real-time PCR multiplex analysis. Migration invasion behaviors quantified specialized Boyden chamber assays. We found significant, adipokine-mediated genetic proteomic alterations, with showing an up 6-fold increase genes after adipokine-supplementation. Adipokines further altered secretion, such as raising different tumor-associated proteins 13-fold. Effects varied, however, most approaches significant enhancement kinetics. A concentration-dependent migration generally observed, no reductions any approaches. could show robust effect several cells vitro. Understanding interaction between tissue opens potential avenues for innovative prevention therapy strategies. Our findings indicate that antibodies against specific become beneficial component clinical treatment future.
Language: Английский
Citations
0
Pharmaceutics, Journal Year: 2025, Volume and Issue: 17(5), P. 558 - 558
Published: April 24, 2025
Numerous anti-diabetic medications, including metformin, have been explored for their anticancer effects because of the substantial correlation between diabetes and cancer incidence. Metformin has recently gained interest its against malignancies such as breast cancer, one leading causes death among women worldwide. The cancer-related characteristics cell proliferation, invasion, migration, apoptosis are all targeted by metformin. Among patients, triple-negative (TNBC) is linked to an increased risk early recurrence metastases poor prognosis. In addition, TNBC fewer treatment options compared other subtypes it lacks hormone receptors human epidermal growth factor receptor 2 (HER2), often develops resistance available options. current review highlights recent updates on mechanistic insights efficacy metformin metformin-based approaches TNBC. We logically discuss experimental evidence from in vitro vivo studies exploring metformin’s metabolic pathways, then combination with therapeutic agents, targeting signaling enhance effects. also present clinical that underscore beneficial outcomes or agents patients.
Language: Английский
Citations
0
Archives of Physiology and Biochemistry, Journal Year: 2023, Volume and Issue: 130(6), P. 800 - 813
Published: Nov. 23, 2023
Omentin (intelectin) was first detected in the visceral omental adipose tissue. It has mainly two isoforms, omentin-1 and -2, with isoform-1 being main form human blood. possesses insulin-sensitizing, anti-inflammatory, anti-atherogenic, cardio-protective, oxidative stress-decreasing effects. Omentin's cardiovascular protective actions are caused by improved endothelial cell survival function, increased nitric oxide synthase (eNOS) (NO) bioavailability, enhanced vascular smooth muscle cells (VSMCs) relaxation reduced proliferation, decreased inflammation, suppressed stress. may also have a potential role different cancer types rheumatic diseases. Thus, omentin is an excellent therapeutic target many diseases, including diabetes mellitus (DM), metabolic syndrome (MetS), diseases (CVDs), inflammatory cancer. This review demonstrates physiological functions of ameliorating insulin resistance (IR), inflammation its possible share managing obesity-linked such as disorders, DM, conditions.
Language: Английский
Citations
9
Cancers, Journal Year: 2024, Volume and Issue: 16(3), P. 531 - 531
Published: Jan. 26, 2024
The rising global incidence of uterine cancer is linked to the escalating prevalence obesity. Obesity results in alterations adipocytokines and IGFs, driving progression via inflammation, increased cell proliferation, apoptosis inhibition, although precise mechanisms are still unclear. This study examined a set six markers, namely, adiponectin, leptin, IL6, TNFα, IGF1, IGF2 compared them between fifty age-matched endometrial patients (study group) non-cancer with benign gynaecological conditions (control group). We also assessed relationship these markers obesity explored correlation various tumour characteristics. In population, were 24 h 6 months post-surgery. Remarkably, low adiponectin levels associated 35.8% increase risk. Interestingly, control subjects where IGF decreased after menopause, post-menopausal women group showed elevated IGF1 levels, suggesting potential influence on system, particularly menopause. Lastly, it noteworthy that discernible inverse trend was observed IGFs indicates treatment for may have differential impact potentially holding clinical significance merits further investigation.
Language: Английский
Citations
2
ImmunoTargets and Therapy, Journal Year: 2024, Volume and Issue: Volume 13, P. 75 - 94
Published: Feb. 1, 2024
Objective: The current study is conducted to investigate the potential prognostic value of age-male-albumin-bilirubin-platelets (aMAP) score in breast cancer patients with liver metastasis after surgery. Methods: This a retrospective 178 who developed These were treated and followed up from 2000 2018 at our hospital. aMAP risk was estimated accordance following formula: . optimal cutoff evaluated via X-tile. Kaplan-Meier, Log-rank Cox proportional hazards regression models applied determine clinical influence on survival outcomes. nomogram established by multivariate analyses. calibration curves decision curve analysis evaluate performance models. Results: A total divided into low group (< 47.6) high (≥ X-tile plots. factor analysis. median disease free (p=0.0013) overall (p=0.0003) longer than group. nomograms constructed predict DFS C-index 0.722 (95% CI, 0.673– 0.771), OS 0.708 0.661– 0.755). aMAP-based had good predictive performance. Conclusion: score-based conducive discriminate risks develop adjuvant treatment prevention strategies. Keywords: cancer, score, metastasis, albumin, prognosis
Language: Английский
Citations
2
Clinical Epidemiology, Journal Year: 2023, Volume and Issue: Volume 15, P. 469 - 481
Published: April 1, 2023
Animal experiments have shown the anticancer activity of Toxoplasma gondii (T. gondii), but its effect on prognosis cancer patients is unclear. Thus, present study aimed to investigate prognostic role anti-T. IgG in breast and modification cytokines.A total 1121 were recruited between 2008 2018 followed up until December 31, 2021. Anti-T. cytokines measured using an enzyme-linked immunosorbent assay (ELISA) kit a multiplex platform. Endpoints overall survival (OS) progression-free (PFS). Survival multiplicative interaction analyses performed multivariate Cox regression models.According cutoff value optical density (OD=0.111), 900 (80.29%) 221 (19.71%) divided into two groups: low or high IgG. Compared with level, adjusted hazard ratios (HRs) OS PFS for levels 0.60 (95% confidence interval (CI): 0.37-0.99) 0.67 (0.46-0.98), respectively. These associations profound among cytokine score (HR=0.29, 95% CI: 0.10-0.82 OS; HR=0.30, 0.13-0.69 PFS), accompanied by significant level (Pinteraction=0.019 PFS); interleukin-17 (IL-17) interleukin-9 (IL-9) main contributors interaction.Anti-T. was found be beneficial survival, especially women systematic inflammation IL-17 IL-9 levels, suggesting potential T. as marker novel immunotherapy approach patients.
Language: Английский
Citations
6
Diagnostics, Journal Year: 2023, Volume and Issue: 13(19), P. 3151 - 3151
Published: Oct. 8, 2023
Chronic kidney disease (CKD) is a significant global health challenge that requires timely detection and accurate prognosis for effective treatment management. The application of machine learning (ML) algorithms CKD prediction holds promising potential improving patient outcomes. By incorporating key features which contribute to CKD, these enhance our ability identify high-risk individuals initiate interventions. This research highlights the importance leveraging techniques augment existing medical knowledge improve identification management disease. In this paper, we explore utilization diverse ML algorithms, including gradient boost (GB), decision tree (DT), K-nearest neighbor (KNN), random forest (RF), histogram (HB), XGBoost (XGB) detect predict chronic (CKD). aim early prognosis, enhancing outcomes reducing burden on healthcare systems. We evaluated performance using metrics like accuracy, precision, recall, F1 score. Additionally, conducted feature significance analysis most influential characteristics in dataset used training evaluation contained various clinical demographic attributes patients, serum creatinine level, blood pressure, age, among others. proficiency revealed consistent predictors across all models, with age emerging as particularly identifying at risk These findings align established emphasize pivotal role prognosis. conclusion, study demonstrates effectiveness detecting predicting predictors, such underscores their techniques, can accuracy efficiency diagnosis treatment, ultimately system effectiveness.
Language: Английский
Citations
6