&lt;p&gt;Identification of Aurora Kinase A as a Biomarker for Prognosis in Obesity Patients with Early Breast Cancer&lt;/p&gt;

Jiang, Junhan; Guo, Zihe; Xu, Junnan; Sun, Tao; Zheng, Xinyu

doi:10.2147/ott.s250619

Cited by 8 publications

(9 citation statements)

References 42 publications

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“…Of these, 215 articles were excluded resulting in 154 studies that met the selection criteria. We excluded 25 studies with no usable data: 23 did not report baseline risk for mortality by BMI group, 17‐39 1 only reported a p value, 40 and another 1 mentioned data in a supplement that were not available 41 . Disagreements about the inclusion of studies occurred in 16% of the articles ( kappa = 0·67).…”

Section: Resultsmentioning

confidence: 99%

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

2023

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SummaryFasting insulin and c‐reactive protein confound the association between mortality and body mass index. An increase in fat mass may mediate the associations between hyperinsulinemia, hyperinflammation, and mortality. The objective of this study was to describe the “average” associations between body mass index and the risk of mortality and to explore how adjusting for fasting insulin and markers of inflammation might modify the association of BMI with mortality. MEDLINE and EMBASE were searched for studies published in 2020. Studies with adult participants where BMI and vital status was assessed were included. BMI was required to be categorized into groups or parametrized as non‐first order polynomials or splines. All‐cause mortality was regressed against mean BMI squared within seven broad clinical populations. Study was modeled as a random intercept. β coefficients and 95% confidence intervals are reported along with estimates of mortality risk by BMIs of 20, 30, and 40 kg/m2. Bubble plots with regression lines are drawn, showing the associations between mortality and BMI. Splines results were summarized. There were 154 included studies with 6,685,979 participants. Only five (3.2%) studies adjusted for a marker of inflammation, and no studies adjusted for fasting insulin. There were significant associations between higher BMIs and lower mortality risk in cardiovascular (unadjusted β −0.829 [95% CI −1.313, −0.345] and adjusted β −0.746 [95% CI −1.471, −0.021]), Covid‐19 (unadjusted β −0.333 [95% CI −0.650, −0.015]), critically ill (adjusted β −0.550 [95% CI −1.091, −0.010]), and surgical (unadjusted β −0.415 [95% CI −0.824, −0.006]) populations. The associations for general, cancer, and non‐communicable disease populations were not significant. Heterogeneity was very large (I2 ≥ 97%). The role of obesity as a driver of excess mortality should be critically re‐examined, in parallel with increased efforts to determine the harms of hyperinsulinemia and chronic inflammation.

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Section: Resultsmentioning

confidence: 99%

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

2023

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“…Previous studies have elucidated their roles in AT’s developmental stage-specific transcriptional networks [ 38 ]. Several hub genes, such as TOP2A, CENPF, TYMS, AURKA, KIF4A, and KIF20A, are related to the cell cycle and DNA replication, implicating the close relationship between obesity and cancer [ 39 , 40 ]. AURKA is a prognostic marker in obese patients with early breast cancer [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

“…Several hub genes, such as TOP2A, CENPF, TYMS, AURKA, KIF4A, and KIF20A, are related to the cell cycle and DNA replication, implicating the close relationship between obesity and cancer [ 39 , 40 ]. AURKA is a prognostic marker in obese patients with early breast cancer [ 40 ]. Loss of AURKA in the intestinal epithelia causes gut microbiota dysbiosis and higher levels of propionate, leading to Akt activation, which in turn promotes obesity [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Visceral Adipose Tissue Molecular Networks and Regulatory microRNA in Pediatric Obesity: An In Silico Approach

Roy

Modi

Ghosh

et al. 2022

IJMS

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Childhood obesity carries an increased risk of metabolic complications, sleep disturbances, and cancer. Visceral adiposity is independently associated with inflammation and insulin resistance in obese children. However, the underlying pathogenic mechanisms are still unclear. We aimed to detect the gene expression pattern and its regulatory network in the visceral adipose tissue of obese pediatric individuals. Using differentially-expressed genes (DEGs) identified from two publicly available datasets, GSE9624 and GSE88837, we performed functional enrichment, protein–protein interaction, and network analyses to identify pathways, targeting transcription factors (TFs), microRNA (miRNA), and regulatory networks. There were 184 overlapping DEGs with six significant clusters and 19 candidate hub genes. Furthermore, 24 TFs targeted these hub genes. The genes were regulated by miR-16-5p, miR-124-3p, miR-103a-3p, and miR-107, the top miRNA, according to a maximum number of miRNA–mRNA interaction pairs. The miRNA were significantly enriched in several pathways, including lipid metabolism, immune response, vascular inflammation, and brain development, and were associated with prediabetes, diabetic nephropathy, depression, solid tumors, and multiple sclerosis. The genes and miRNA detected in this study involve pathways and diseases related to obesity and obesity-associated complications. The results emphasize the importance of the TGF-β signaling pathway and its regulatory molecules, the immune system, and the adipocytic apoptotic pathway in pediatric obesity. The networks associated with this condition and the molecular mechanisms through which the potential regulators contribute to pathogenesis are open to investigation.

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“…The nal AURKA score of IHC was the multiple of staining intensity (0, negative; 1, weak; 2, mild; 3, strong) and staining ratio (0%, 0; 1-20%, 1; 21-50%, 2; 51-70%, 3; 81-100%, 4). Patient samples were classi ed into two groups based on high (4)(5)(6)(7)(8)(9)(10)(11)(12) and low (0-3) AURKA scores (Figures 1C).…”

Section: Histology and Ihcmentioning

confidence: 99%

Predictive and prognostic value of aurora kinase A combined with tumor-infiltrating lymphocytes in medullary thyroid carcinoma

Wang,

Fu,

Guo

et al. 2023

Preprint

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Purpose Aurora kinase A (AURKA) plays an essential role in tumorigenesis by regulating the cell cycle. However, the expression and prognostic value of the AURKA in medullary thyroid carcinoma (MTC) have not been thoroughly investigated. Methods Surgical specimens and clinical data of 137 patients diagnosed with MTC were collected. AURKA expression and tumor-infiltrating lymphocytes (TILs) infiltration were estimated by immunohistochemistry and hematoxylin-eosin staining. Moreover, the prognostic value of AURKA expression and TIL infiltration in MTC was evaluated. Results AURKA was highly expressed in patients with multifocal tumor, lymph node metastasis, and advanced TNM stage, indicating a high probability of recurrence. AURKA exhibited a positive correlation with TILs (R = 0.44, P < 0.001). High expression of AURKA combined with low numbers of TILs (AURKAhigh/TILslow) was identified as an independent prognostic factor for biochemistry recurrence-free survival (hazard ratio: 4.57, 95% confidence interval: 1.54–14.66, P < 0.01) and structural recurrence-free survival (hazard ratio: 3.64, 95% confidence interval: 1.52–8.71, P < 0.001). The combination of AURKA and TILs apparently improves the prognostic value for biochemistry recurrence (area under the curve: 0.751) and structural recurrence (area under the curve: 0.836) of MTC. Particularly, AURKAhigh/TILslow demonstrated higher predictive ability for distant or unresectable locoregional recurrence, with an overall accuracy of 86.9%. Conclusion AURKAhigh is associated with the malignancy of MTC. The combination of AURKAhigh/TILslow was recognized as a novel independent prognostic marker in MTC, predicting incurable disease recurrence with high accuracy.

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<p>Identification of Aurora Kinase A as a Biomarker for Prognosis in Obesity Patients with Early Breast Cancer</p>

Cited by 8 publications

References 42 publications

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

Visceral Adipose Tissue Molecular Networks and Regulatory microRNA in Pediatric Obesity: An In Silico Approach

Predictive and prognostic value of aurora kinase A combined with tumor-infiltrating lymphocytes in medullary thyroid carcinoma

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