Clinical Biochemistry, Journal Year: 2021, Volume and Issue: 96, P. 13 - 18
Published: July 1, 2021
Language: Английский
Clinical Biochemistry, Journal Year: 2021, Volume and Issue: 96, P. 13 - 18
Published: July 1, 2021
Language: Английский
Computer Methods and Programs in Biomedicine, Journal Year: 2023, Volume and Issue: 231, P. 107435 - 107435
Published: Feb. 21, 2023
Colorectal cancer is a major health concern. It now the third most common and fourth leading cause of mortality worldwide. The aim this study was to evaluate performance machine learning algorithms for predicting survival colorectal patients 1 5 years after diagnosis, identify important variables.A sample 1236 diagnosed with 118 predictor variables has been used. outcome interest binary variable indicating whether patient survived number in question or not. 20 were selected using mutual information score outcome. We implemented 11 evaluated their by 2-fold cross-validation stratified folds paired Student's t-tests. compared results Kaplan-Meier estimator Cox's proportional hazard regression.Using each years, logistic regression algorithm achieved an area under receiver operating characteristic curve 0.850 (0.014 SD, 0.840-0.860 95 % CI) 1-year, 0.872 0.861-0.882 95% 5-year prediction. Using only variables, corresponding values are 0.793 (0.020 0.778-0.807 0.794 (0.011 0.785-0.802 CI). 1-year prediction R residual, M distant metastasis, overall stage, probable recurrence within tumour length, whereas positive lymph nodes, palliative chemotherapy. Biomarkers do not appear among top ones. For all intervals, probability model agrees estimate, both interval one standard deviation confidence interval.The findings suggest that can predict be used inform assist decision-making clinical care management. In addition, unveils essential estimating short- long-term cancer.
Language: Английский
Citations
14International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(21), P. 11535 - 11535
Published: Oct. 27, 2024
Biomarkers in colorectal cancer (CRC) are of great interest the current literature due to improvements techniques such as liquid biopsy and next-generation sequencing (NGS). However, screening methods vary globally, with multi-target stool DNA (mt-sDNA) predominantly used USA and, more recently, Cologuard Plus; biomarkers Galectins family septins show promise early detection. Gut microbiome assessments, Fusobacterium nucleatum, under intense exploration. Diagnostic tests, circulating analysis via NGS, exhibit effectiveness being increasingly adopted. Circulating tumor cells emerge potential alternatives traditional terms diagnosis prognosis. Predictive well established guidelines; nonetheless, aid machine learning artificial intelligence, these may be improved. This review critically explores actual dynamic landscape CRC future, promising involved screening, diagnosis,
Language: Английский
Citations
5Cell Death Discovery, Journal Year: 2021, Volume and Issue: 7(1)
Published: Oct. 2, 2021
Abstract Colorectal cancer (CRC) is a common tumor that harms human health with high recurrence rate. It has been reported the expression of microRNA-539 (miR-539) low in several types cancer, including CRC. Tumor necrosis factor (TNF)-α-induced protein 8 (TNFAIP8/TIPE) highly expressed CRC and promotes proliferation, migration angiogenesis However, relationship between miR-539 TIPE mechanisms by which they regulate proliferation remain to be explored. We aimed investigate functions proliferation. Functionally, can bind TIPE, activates SAPK/JNK downregulate glutathione peroxidase 4 (GPX4) promote ferroptosis. Our data reveal novel role regulating ferroptosis via activation axis, providing new insight into mechanism abnormal potential therapeutic target for advanced
Language: Английский
Citations
32Journal of Clinical Medicine, Journal Year: 2021, Volume and Issue: 10(11), P. 2391 - 2391
Published: May 28, 2021
The global burden of colorectal cancer (CRC) is expected to increase, with 2.2 million new cases and 1.1 annual deaths by 2030. Therefore, the establishment novel biomarkers useful in early diagnosis CRC utmost importance. A number publications have documented significance overexpression several specific proteins, such as inflammatory mediators, progression. However, little known about potential utility these proteins circulating blood tumor CRC. present review we report results our previous original studies well findings other authors who investigated whether mediators might be used prognosis Our study revealed that among all tested serum M-CSF, CXCL-8, IL-6 TIMP-1 greatest value progression Serum differentiating between adenomas, whereas M-CSF CRP are independent prognostic factors for survival patients This confirms promising due their non-specific nature, further validation sensitivity specificity required.
Language: Английский
Citations
31Clinical Biochemistry, Journal Year: 2021, Volume and Issue: 96, P. 13 - 18
Published: July 1, 2021
Language: Английский
Citations
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