Comprehensive analysis of gene expression profiles to identify differential prognostic factors of primary and metastatic breast cancer

Albogami, Sarah

doi:10.1016/j.sjbs.2022.103318

Cited by 5 publications

(3 citation statements)

References 94 publications

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“…At present, there are many studies on breast cancer, but its specific etiology is still unknown. In recent years, studies on cancer related biological genes and immunohistochemistry suggested that the occurrence of canceration often causes abnormal changes in some biological factors in the body [ 18 ]. These biological factors are often closely related to the prognosis of the disease.…”

Section: Discussionmentioning

confidence: 99%

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

Wan

Qin

et al. 2022

Contrast Media & Molecular Imaging

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Invasive breast cancer (IBC) is a kind of malignant tumor in which cancer cells have broken through the basement membrane of breast ducts or lobular acini and invaded the stroma. Although ultrasound elastography score (UES) has shown unique advantages in the diagnosis of IBC, its value in the prognosis is not clear. Here, we explored the correlation of UES with IBC and biological prognostic factors. The datum of 86 patients with suspected IBC from January 2018 to December 2021 was collected. UE was applied in the examination of all patients. The lesion tissue of the malignant group was punctured to detect and analyze the expression of biological prognostic factors, including estrogen receptor (E receptor), progesterone receptor (P receptor), and human epidermal growth factor 2 (HER factor 2) and Ki67. The differences in UES under different biological prognostic factors were compared. The receiver operating characteristic (ROC) curve was applied to analyze the diagnostic value of UES of IBC and the expression of biological prognostic factors. Based on the pathological diagnosis results, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of UES in the diagnosis of IBC were analyzed. The correlation of UES with IBC and biological prognostic factors was analyzed by multiple linear regression and Spearman method. ROC analysis showed that the area under the curve of UES for diagnosing IBC and evaluating the expression of P receptor, HER factor 2, and Ki67 were 0.877, 0.704, 0.763, and 0.820, respectively (P＜0.05). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of UES when diagnosing IBC were 92.42%, 90.00%, 91.86%, 96.83%, and 78.26%, respectively. The UES of E receptor expression (positive and negative group) showed no obvious variance ( P > 0.05). The UES of P receptors (positive and negative), HER factor 2 (positive and negative), and Ki67 (high and low expression) showed obvious differences ( P < 0.05). Multiple linear regression and Spearman indicated UES was significantly correlated with the expression of P receptor, HER factor 2, and Ki67 (P＜0.05). UES has a certain diagnostic value for IBC and is significantly correlated to the expression of P receptor, HER factor 2, and Ki67, which is helpful for evaluating the prognosis of patients with IBC.

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Section: Discussionmentioning

confidence: 99%

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

Wan

Qin

et al. 2022

Contrast Media & Molecular Imaging

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“…In line with our findings, breast tumor tissue samples showed elevated levels of threonine tyrosine kinase (TTK) compared with adjacent normal tissue samples. A recent study carried out by Albogami, in which The Human Protein Atlas database was accessed to evaluate the protein and gene expression levels of threonine tyrosine kinase (TTK) in different samples, negative regulation of threonine tyrosine kinase (TTK) was observed at both the transcriptional and protein levels in non-cancerous tissues adjacent, but high levels were detected in tumor samples (Albogami, 2022). Additionally, other studies have also demonstrated that threonine tyrosine kinase (TTK) is highly expressed in neoplastic tissues when compared to adjacent healthy or benign tissue, such as in endometrial and bladder cancer (F. Chen et al, 2018;Miao et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Altered threonine tyrosine kinase (TTK) expression is associated with adverse clinical outcomes in breast tumors: An in silico approach

Silva,

Cruz,

Vieira

et al. 2023

RSD

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The most common and lethal malignancy in women on a global scale remains breast cancer. Threonine tyrosine kinase (TTK) has been shown to be a critical mitotic spindle assembly checkpoint (SAC) molecule, resulting in correct chromosome segregation and maintenance of genomic stability. Therefore, the present study was carried out to evaluate the expression pattern of threonine tyrosine kinase (TTK) in breast cancer and its potential prognostic and predictive value for therapeutic response using bioinformatics tools. Web platforms containing clinical information and cDNA microarray data were selected to perform in silico analyzes of the potential threonine tyrosine kinase (TTK) marker. The threonine tyrosine kinase (TTK) gene was found to be differentially expressed in tumor samples when compared to healthy breast tissue samples (p<0.0001) and the TNBC subtype exhibited the highest expression of threonine tyrosine kinase (TTK) relative to the other subtypes (p<0.0001). Furthermore, Kaplan-Meier curves revealed that high threonine tyrosine kinase (TTK) levels corresponded to an unfavorable outcome for overall survival (p<0.0001), as well as for recurrence-free survival (p<0.0001) and distant metastasis-free survival (p<0.0001). Finally, differential expression of threonine tyrosine kinase (TTK) was related to the response of breast cancer patients to different therapies. Our cumulative results demonstrate that threonine tyrosine kinase (TTK) may be a promising biomarker for predicting prognosis and therapeutic response in breast cancer patients.

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“…Breast cancer is a type of cancer that forms in the cells and tissues of the breasts. It is the most common type of cancer among women, and it affects one in every eight to 10 women during their lifetime [ 1 , 2 ]. Breast cancer is caused mainly by non-genetic factors, while hereditary factors contribute to 5%-10% of the cases.…”

Section: Introductionmentioning

confidence: 99%

Breast Cancer High-Penetrance Genes BRCA1 and BRCA2 Mutations Using Next-Generation Sequencing Among Iraqi Kurdish Women

Hassan,

Mustafa

2024

Cureus

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Comprehensive analysis of gene expression profiles to identify differential prognostic factors of primary and metastatic breast cancer

Cited by 5 publications

References 94 publications

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

Altered threonine tyrosine kinase (TTK) expression is associated with adverse clinical outcomes in breast tumors: An in silico approach

Breast Cancer High-Penetrance Genes BRCA1 and BRCA2 Mutations Using Next-Generation Sequencing Among Iraqi Kurdish Women

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