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Chen X, Ren C, Zhou Z, Chen J, Fan X, Li X, Chen J, Zhu J. Development of an ubiquitin-proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple-negative breast cancer. J Gene Med 2024; 26:e3584. [PMID: 37605934 DOI: 10.1002/jgm.3584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/17/2023] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Triple-negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin-proteasome system (UPS) component could be a novel therapeutic tool. METHODS Triple-negative breast cancer data were obtained from The Cancer Genome Atlas (TCGA), and subtype analysis was performed by consistent clustering analysis to identify molecular subtypes of TNBC according to UPS characteristics. Differential analysis, COX and least absolute shrinkage and selection operator (LASSO) COX regression analyses were performed to select genes associated with overall survival in TNBC. The final prognostic model (UPS score) was determined using the LASSO COX model. The model performance was assessed using receiver operating characteristic (ROC) curves and survival curves. In addition, the results of the UPS score on analyzing the abundance of immune cell infiltration and immunotherapy were explored. Finally, we developed a nomogram for TNBC survival prediction. RESULTS Two UPS subtypes (UPSMS1 and UPSMS2) showing significant survival differences were classified. COX regression analysis on differentially expressed genes in UPSMS1 and UPSMS2 filtered five genes that affected overall survival. Based on the regression coefficients and expression data of the five genes, we built a prognostic assessment system (UPS score). The UPS score showed consistent prognostic and therapeutic guidance values. Finally, the ROC curve of the nomogram and UPS score showed the highest predictive efficacy compared with traditional clinical prognostic indicators. CONCLUSION The UPS score represented a promising prognostic tool to predict overall survival and immune status and guide personalized treatment selection in TNBC patients, and this study may provide a more practical alternative for clinical monitoring and management of TNBC.
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Affiliation(s)
- Xiaoqing Chen
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Chongyang Ren
- Department of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhisheng Zhou
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Jiewen Chen
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Xulong Fan
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Xiangzhi Li
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Jintao Chen
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
| | - Jing Zhu
- Department of Breast Medicine, Foshan Maternity and Child Healthcare Hospital, Southern Medical University, Foshan, China
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Pang TT, Zhou ZX, Li PS, Ma HT, Shen XY, Wan YC, Guo XL, Liu ZP, Chen GD. Associations of early pregnancy serum uric acid levels with risk of gestational diabetes and birth outcomes: a retrospective cohort study. BMC Endocr Disord 2023; 23:252. [PMID: 37985985 PMCID: PMC10658968 DOI: 10.1186/s12902-023-01502-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 10/31/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND Previous evidence suggests that higher blood uric acid (UA) levels are associated with adverse cardiovascular outcomes during pregnancy and subsequent birth outcomes. However, it has been relatively unclear whether these associations persist in normotensive pregnant women. METHODS The study was based on a retrospective analysis of 18,250 mother-infant pairs in a large obstetric center in China. Serum UA concentrations in early pregnancy (median: 17.6, IQR: 16.3, 18.6 gestational weeks) were assessed. Hyperuricemia was defined as ≥ one standard deviation (SD) of the reference value for the corresponding gestational age. Outcomes of gestational diabetes mellitus (GDM), preterm birth (PB), low birth weight (LBW), macrosomia, small for gestational age (SGA) and large for gestational age (LGA) were extracted from the medical records. RESULTS The mean maternal UA level was 0.22 ± 0.05 mmol/L, and 2,896 (15.9%) subjects had hyperuricemia. After adjustment for several covariates, UA was associated with several adverse outcomes. The ORs (95%CI) per one SD increase in serum UA concentration were 1.250 (1.136, 1.277) for GDM, 1.137 (1.060, 1.221) for PB, 1.134 (1.051, 1.223) for LBW, and 1.077 (1.020, 1.137) for SGA, respectively. Similar adverse associations were found between hyperuricemia and GDM, PB (ORs: 1.394 and 1.385, P < 0.001), but not for LBW, macrosomia, SGA, and LGA. Adverse associations tended to be more pronounced in subjects with higher BMI for outcomes including PB, LBW, and SGA (P interaction = 0.001-0.028). CONCLUSION Higher UA levels in early pregnancy were associated with higher risk of GDM, PB, LBW, and SGA in normotensive Chinese women.
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Affiliation(s)
- Ting-Ting Pang
- Department of Medical Records, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, China
| | - Zi-Xing Zhou
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China
| | - Peng-Sheng Li
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China
| | - Hui-Ting Ma
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China
| | - Xiu-Yin Shen
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China
| | - Ying-Chun Wan
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China
| | - Xiao-Ling Guo
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China
| | - Zheng-Ping Liu
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China.
| | - Geng-Dong Chen
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan city, Guangdong Province, 528000, People's Republic of China.
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Chen GD, Gou XY, Pang TT, Li PS, Zhou ZX, Lin DX, Fan DZ, Guo XL, Wang LJ, Liu ZP. Associations between thyroid function and gestational diabetes mellitus in Chinese pregnant women: a retrospective cohort study. BMC Endocr Disord 2022; 22:44. [PMID: 35189861 PMCID: PMC8862524 DOI: 10.1186/s12902-022-00959-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 02/14/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Thyroid function is known to be closely linked with type 2 diabetes, but data on the association between thyroid function and gestational diabetes mellitus (GDM) are inconsistent. METHODS A total of 2849 pregnant women were included in this retrospective study. Serum concentrations of thyroid indicators (free tetraiodothyronine, FT4; thyroid-stimulating hormone, TSH; and thyroid peroxidase antibody, TPO Ab) were obtained from a clinical laboratory. The presence of GDM were drawn from medical records. The clinical subtypes of thyroid function (euthyroidism, subclinical hypothyroidism, hyperthyroidism, and isolated hypothyroxinemia) were categorized according to the thresholds of the 2.5th/97.5th and 10th/90th percentiles of TSH and FT4 concentrations. A concentration of > 34 IU/L was defined as indicating TPO Ab-positivity. RESULTS Two hundred and thirty-five (8.25%) of the 2849 women were TPO Ab-positive. Higher serum concentrations of FT4 (top vs. bottom tertiles) was found to be negatively associated with the risk of GDM. The corresponding odds (OR) values (top tertile vs. bottom tertile) were 0.71 [95% confidence interval (CI): 0.54, 0.93]. No significant associations were observed between the extremely 2.5th/97.5th or 10th/90th percentiles of FT4 concentration, TSH concentration, thyroid function subtypes (vs. euthyroidism), TPO Ab-positivity (vs. -negativity), and the GDM risk. The corresponding results remained similar when TPO Ab-positive subjects were excluded. CONCLUSIONS A negative association with the risk of GDM was observed for the highest FT4 concentrations tertile. No significant associations were found between the TSH concentration, thyroid function subtypes, TPO Ab positivity, and the GDM risk.
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Affiliation(s)
- Geng-Dong Chen
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Xiao-Yan Gou
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
| | - Ting-Ting Pang
- Department of Medical Records, Child Healthcare Hospital, Southern Medical University, Affiliated Foshan Maternity &, Foshan, 528000, Guangdong, China
| | - Peng-Sheng Li
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
| | - Zi-Xing Zhou
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
| | - Dong-Xin Lin
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
| | - Da-Zhi Fan
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
| | - Xiao-Ling Guo
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China
| | - Li-Juan Wang
- Department of Obstetrics, Changchen District, Child Healthcare Hospital, Southern Medical University, Affiliated Foshan Maternity &No.11 Renmin West Road, Foshan, 528000, Guangdong, China.
| | - Zheng-Ping Liu
- Foshan Institute of Fetal Medicine, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, No.11 Renmin West Road, Foshan, 528000, Guangdong, China.
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