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Zhou Y, Li T, Muheiyati G, Duan Y, Xiao S, Gao Y, Tao N, An H. Triglyceride-glucose index is a predictor of the risk of prostate cancer: a retrospective study based on a transprostatic aspiration biopsy population. Front Endocrinol (Lausanne) 2024; 14:1280221. [PMID: 38260162 PMCID: PMC10801031 DOI: 10.3389/fendo.2023.1280221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Background Current research suggests that prostate cancer (PCa), one of the most common cancers in men, may be linked to insulin resistance (IR).Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We investigated the relationship between the TyG index and the risk of PCa. Objective To assess the correlation and dose-response relationship between TyG index and prostate cancer. Method Retrospectively, 316 patients who required prostate biopsy puncture in the First Affiliated Hospital of Xinjiang Medical University from March 2017 to July 2021 were collected, and the relationship between factors such as the TyG index and prostate cancer was analyzed by Logistic regression model combined with a restricted cubic spline. Results (1) The differences in age, initial PSA and TyG index between the two groups were statistically significant; (2) Logistic regression results showed that the risk of prostate cancer in the highest quartile of the TyG index (Q4) was 3.387 times higher than that in the lowest quartile (Q1) (OR=3.387,95% CI [1.511,7.593], P=0.003); (3) The interaction results showed a significant interaction between the TyG index Q4 group and age with the risk of developing prostate cancer (P for interaction<0.001). (4) The results of the restricted cubic spline showed a linear dose-response relationship between the TyG index and the risk of prostate cancer; (5) The Receiver operating characteristic (ROC) curve results showed that the area under the curve (AUC) of the TyG index combined with initial PSA and age was 0.840, with a sensitivity and specificity of 62.5% and 93.3%, respectively. Conclusion TyG index and age are risk factors for prostate cancer, and the interaction between the TyG index and different risk factors may increase the risk of prostate cancer. TyG index has some predictive value for the risk of prostate cancer, and the risk of prostate cancer can be reduced by controlling the levels of blood lipids and blood glucose.
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Affiliation(s)
- Yijie Zhou
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Tianqi Li
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Guliman Muheiyati
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Yajun Duan
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Songtao Xiao
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Yi Gao
- School of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Ning Tao
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
- Department of Epidemiological Statistics, School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Hengqing An
- Department of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
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Ivanova M, Porta FM, Giugliano F, Frascarelli C, Sajjadi E, Venetis K, Cursano G, Mazzarol G, Guerini-Rocco E, Curigliano G, Criscitiello C, Fusco N. Breast Cancer with Brain Metastasis: Molecular Insights and Clinical Management. Genes (Basel) 2023; 14:1160. [PMID: 37372340 DOI: 10.3390/genes14061160] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
Breast cancer is the most frequently diagnosed malignancy worldwide and the leading cause of cancer-related death among women. Brain metastases are a primary contributor to mortality, as they often go undetected until late stages due to their dormant nature. Moreover, the clinical management of brain metastases is complicated by the relevant issue of blood-brain barrier penetration. The molecular pathways involved in the formation, progression, and colonization of primary breast tumors and subsequent brain metastases are diverse, posing significant hurdles due to the heterogeneous nature of breast cancer subtypes. Despite advancements in primary breast cancer treatments, the prognosis for patients with brain metastases remains poor. In this review, we aim to highlight the biological mechanisms of breast cancer brain metastases by evaluating multi-step genetic pathways and to discuss currently available and emerging treatment strategies to propose a prospective overview of the management of this complex disease.
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Affiliation(s)
- Mariia Ivanova
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Francesca Maria Porta
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
- School of Pathology, University of Milan, 20122 Milan, Italy
| | - Federica Giugliano
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
- Division of Early Drug Development for Innovative Therapies, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Chiara Frascarelli
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Elham Sajjadi
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Konstantinos Venetis
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Giulia Cursano
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Giovanni Mazzarol
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Elena Guerini-Rocco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Giuseppe Curigliano
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
- Division of Early Drug Development for Innovative Therapies, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Carmen Criscitiello
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
- Division of Early Drug Development for Innovative Therapies, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Nicola Fusco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
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