1
|
Zhang Y, Yan M, Yu Y, Wang J, Jiao Y, Zheng M, Zhang S. 14-3-3ε: a protein with complex physiology function but promising therapeutic potential in cancer. Cell Commun Signal 2024; 22:72. [PMID: 38279176 PMCID: PMC10811864 DOI: 10.1186/s12964-023-01420-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/02/2023] [Indexed: 01/28/2024] Open
Abstract
Over the past decade, the role of the 14-3-3 protein has received increasing interest. Seven subtypes of 14-3-3 proteins exhibit high homology; however, each subtype maintains its specificity. The 14-3-3ε protein is involved in various physiological processes, including signal transduction, cell proliferation, apoptosis, autophagy, cell cycle regulation, repolarization of cardiac action, cardiac development, intracellular electrolyte homeostasis, neurodevelopment, and innate immunity. It also plays a significant role in the development and progression of various diseases, such as cardiovascular diseases, inflammatory diseases, neurodegenerative disorders, and cancer. These immense and various involvements of 14-3-3ε in diverse processes makes it a promising target for drug development. Although extensive research has been conducted on 14-3-3 dimers, studies on 14-3-3 monomers are limited. This review aimed to provide an overview of recent reports on the molecular mechanisms involved in the regulation of binding partners by 14-3-3ε, focusing on issues that could help advance the frontiers of this field. Video Abstract.
Collapse
Affiliation(s)
- Yue Zhang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China
| | - Man Yan
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China
| | - Yongjun Yu
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, 300121, People's Republic of China
| | - Jiangping Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China
| | - Yuqi Jiao
- Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China
| | - Minying Zheng
- Department of Pathology, Tianjin Union Medical Center, Tianjin, 300071, People's Republic of China
| | - Shiwu Zhang
- Department of Pathology, Tianjin Union Medical Center, Tianjin, 300071, People's Republic of China.
| |
Collapse
|
2
|
Li X, Wang C, Wang S, Hu Y, Jin S, Liu O, Gou R, Nie X, Liu J, Lin B. YWHAE as an HE4 interacting protein can influence the malignant behaviour of ovarian cancer by regulating the PI3K/AKT and MAPK pathways. Cancer Cell Int 2021; 21:302. [PMID: 34107979 PMCID: PMC8190858 DOI: 10.1186/s12935-021-01989-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 05/20/2021] [Indexed: 11/23/2022] Open
Abstract
Background Malignant tumours of the female reproductive system threaten the lives and health of women worldwide, with ovarian cancer having the highest mortality rate. Based on previous work, this study analysed the expression and role of YWHAE in ovarian epithelial tumours. Methods The interaction between YWHAE and HE4 was evaluated via immunoprecipitation, western blot analysis, and cellular immunofluorescence. Immunohistochemistry was used to address the relationship between YWHAE expression, clinicopathological parameters, and patient prognosis. Changes in cell invasion, epithelial–mesenchymal transition, migration, proliferation, apoptosis, and cell cycle before and after differential expression of YWHAE were also explored in ovarian cancer cell lines and via in vivo experiments. Results YWHAE was found to interact with HE4, and its expression was positively correlated with HE4 expression. Moreover, YWHAE upregulation was associated with advanced stages of ovarian cancer and poor patient prognosis. In addition, YWHAE enhanced invasion, migration, and proliferation, but inhibited the apoptosis of ovarian cancer cells. These biological effects were found to be mediated by the AKT and MAPK signalling pathways. Conclusions Altogether, this study demonstrates that YWHAE is substantially upregulated in ovarian cancer tissues, representing a risk factor for the prognosis of ovarian cancer that is positively correlated with HE4 expression. Furthermore, YWHAE and its downstream pathways may represent new therapeutic targets for ovarian cancer. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-021-01989-7.
Collapse
Affiliation(s)
- Xiao Li
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Caixia Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Shuang Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Yuexin Hu
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Shan Jin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Ouxuan Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Rui Gou
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Xin Nie
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Juanjuan Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China
| | - Bei Lin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China MedicalUniversity, No. 36, Sanhao Street, Heping District, Shenyang, 110004, People's Republic of China.
| |
Collapse
|
3
|
Gu SS, Li J, Jiang M, Zhou Y, Yang B, Xie K, Jiang YF, Jiang XR, He F, Wang J. Serum proteomic analysis of novel predictive serum proteins for neurological prognosis following cardiac arrest. J Cell Mol Med 2020; 25:1290-1298. [PMID: 33336526 PMCID: PMC7812277 DOI: 10.1111/jcmm.16201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/26/2020] [Accepted: 12/02/2020] [Indexed: 11/28/2022] Open
Abstract
Early prognostication of neurological outcome in comatose patients after cardiac arrest (CA) is vital for clinicians when assessing the survival time of sufferers and formulating appropriate treatment strategies to avoid the withdrawal of life‐sustaining treatment (WLST) from patients. However, there is still a lack of sensitive and specific serum biomarkers for early and accurate identification of these patients. Using an isobaric tag for relative and absolute quantitation (iTRAQ)‐based proteomic approach, we discovered 55 differentially expressed proteins, with 39 up‐regulated secreted serum proteins and 16 down‐regulated secreted serum proteins between three comatose CA survivors with good versus poor neurological recovery. Then, four proteins were selected and were validated via an enzyme‐linked immunosorbent assay (ELISA) approach in a larger‐scale sample containing 32 good neurological outcome patients and 46 poor neurological outcome patients, and it was confirmed that serum angiotensinogen (AGT) and alpha‐1‐antitrypsin (SERPINA1) were associated with neurological function and prognosis in CA survivors. A prognostic risk score was developed and calculated using a linear and logistic regression model based on a combination of AGT, SERPINA1 and neuron‐specific enolase (NSE) with an area under the curve of 0.865 (P < .001), and the prognostic risk score was positively correlated with the CPC value (R = 0.708, P < .001). We propose that the results of the risk score assessment not only reveal changes in biomarkers during neurological recovery but also assist in enhancing current therapeutic strategies for comatose CA survivors.
Collapse
Affiliation(s)
- Shuang-Shuang Gu
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Jin Li
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Min Jiang
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Yi Zhou
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Bing Yang
- Nanjing Jiangbei New Area Biopharmaceutical Public Service Platform Co. Ltd, Nanjing, Jiangsu, China
| | - Kehui Xie
- Nanjing Jiangbei New Area Biopharmaceutical Public Service Platform Co. Ltd, Nanjing, Jiangsu, China
| | - Yun-Fei Jiang
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Xin-Rui Jiang
- Department of Emergency, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fei He
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Jun Wang
- Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| |
Collapse
|
4
|
Proteomics-Enriched Prediction Model for Poor Neurologic Outcome in Cardiac Arrest Survivors. Crit Care Med 2020; 48:167-175. [PMID: 31939784 DOI: 10.1097/ccm.0000000000004105] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Neurologic outcome prediction in out-of-hospital cardiac arrest survivors is highly limited due to the lack of consistent predictors of clinically relevant brain damage. The present study aimed to identify novel biomarkers of neurologic recovery to improve early prediction of neurologic outcome. DESIGN Prospective, single-center study, SETTING:: University-affiliated tertiary care center. PATIENTS We prospectively enrolled 96 out-of-hospital cardiac arrest survivors into our study. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Neurologic outcome was assessed by the Cerebral Performance Categories score. To identify plasma biomarkers for poor neurologic outcome (Cerebral Performance Categories score ≥ 3), we performed a three-step proteomics strategy of preselection by shotgun analyses, crosschecking in brain tissue samples, and verification by targeted proteomic analyses using a multistep statistical modeling approach. Sixty-three patients (66%) had a poor neurologic outcome. Out of a total of 299 proteins, we identified α-enolase, 14-3-3 protein ζ/δ, cofilin-1, and heat shock cognate 71 kDa protein as novel biomarkers for poor neurologic outcome. The implementation of these biomarkers into a clinical multimarker model, consisting of previously identified covariates associated to outcome, resulted in a significant improvement of neurologic outcome prediction (C-index, 0.70; explained variation, 11.9%; p for added value, 0.019). CONCLUSIONS This study identified four novel biomarkers for the prediction of poor neurologic outcome in out-of-hospital cardiac arrest survivors. The implementation of α-enolase, 14-3-3 protein ζ/δ, cofilin-1, and heat shock cognate 71 kDa protein into a multimarker predictive model along with previously identified risk factors significantly improved neurologic outcome prediction. Each of the proteomically identified biomarkers did not only outperform current risk stratification models but may also reflect important pathophysiologic pathways undergoing during cerebral ischemia.
Collapse
|