2022
DOI: 10.3389/fneur.2022.889106
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Role of Ultrasound Imaging in the Prediction of TRIM67 in Brain Metastases From Breast Cancer

Abstract: ObjectivesUltrasound (US) imaging is a relatively novel strategy to monitor the activity of the blood–brain barrier, which can facilitate the diagnosis and treatment of neurovascular-related metastatic tumors. The purpose of this study was to investigate the clinical significance of applying a combination of US imaging outcomes and the associated genes. This was performed to construct line drawings to facilitate the prediction of brain metastases arising from breast cancer.MethodsThe RNA transcript data from T… Show more

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Cited by 9 publications
(9 citation statements)
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References 54 publications
(60 reference statements)
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“…TRIzol (Sangon, Shanghai, China) was used to obtain RNA from the osteoblast cell line and ovarian granulosa cell line treated above according to the manufacturer’s instructions as previous researches ( Rio et al, 2010 ; Ma et al, 2022 ; Xuan et al, 2022 ). The obtained RNA was reverse transcribed into cDNA using GoScript ™ Reverse Transcription Kit (Promega, Madison, WI, SA), and the mRNA expression level was subsequently determined using FastFire qPCR PreMix (SYBR Green) (Tiangen, Beijing, China).…”
Section: Methodsmentioning
confidence: 99%
“…TRIzol (Sangon, Shanghai, China) was used to obtain RNA from the osteoblast cell line and ovarian granulosa cell line treated above according to the manufacturer’s instructions as previous researches ( Rio et al, 2010 ; Ma et al, 2022 ; Xuan et al, 2022 ). The obtained RNA was reverse transcribed into cDNA using GoScript ™ Reverse Transcription Kit (Promega, Madison, WI, SA), and the mRNA expression level was subsequently determined using FastFire qPCR PreMix (SYBR Green) (Tiangen, Beijing, China).…”
Section: Methodsmentioning
confidence: 99%
“…Root Mean Squard Error (RMSE) metrics were applied to evaluate the accuracy of the SVM models and to determine the best model variables based on the RMSE minimum. Furthermore, neural networks, a common non-linear algorithmic model in machine learning, were also used to evaluate results as previous researches (34)(35)(36)(37)(38).…”
Section: Machine Learning and Logistic Regression Analysismentioning
confidence: 99%
“…The microRNAs obtained above were calculated as the expression between gastric cancer tissues and normal tissues, and the microRNAs with statistically significant differences in expression were screened by the p < 0.05. Survival curves were plotted by Kaplan-Meier method based on the median expression value of each microRNA as previous researches (Rich et al, 2010;Lacny et al, 2015;Sun et al, 2022;Xuan et al, 2022).…”
Section: Microrna Expression and Survival In Gastric Cancermentioning
confidence: 99%