1
|
Lan A, Jin Y, Wang Y, Ding N, Wang Y, Dai Y, Jiang L, Tang Z, Peng Y, Liu S. Association of serum reproductive hormones changes after neoadjuvant chemotherapy with hormone receptors expression alterations and survival outcomes in breast cancer. Front Surg 2022; 9:947218. [PMID: 36117838 PMCID: PMC9470751 DOI: 10.3389/fsurg.2022.947218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose This study aimed to determine the effect of neoadjuvant chemotherapy (NAC) on circulating levels of reproductive hormones and evaluate the correlation of hormone changes after NAC with hormone receptors expression alterations and relapse-free survival (RFS) outcomes in breast cancer. Methods Information from 181 breast cancer patients who received NAC was retrospectively analyzed. For hormones parameters, the median and interquartile range (IQR) were provided at baseline and the end of NAC then was compared by Wilcoxon signed-rank test. Categorical variables were represented as numbers and percentages and were compared via two-sided chi-square and Fisher's tests. The RFS outcomes were compared between patients according to hormone changes using the log-rank test. Univariate and multivariate survival analyses with hazard ratios (HR) and 95% confidence intervals (95% CI) were carried out using Cox regression. Results Sex steroids including estradiol, progesterone, testosterone, and dehydroepiandrosterone sulfate (DHEAS) levels decreased significantly after NAC among both premenopausal and postmenopausal patients (all P < 0.05). Decreased estradiol levels were associated with reduced progesterone receptor (PR) expression (P = 0.030). In multivariate survival analysis, the non-decreased progesterone level was strongly associated with worse RFS (non-decreased vs. decreased, HR = 7.178, 95% CI 2.340–22.019, P = 0.001). Patients with decreased progesterone levels exhibited better 3-year RFS compared with those with non-decreased (87.6% vs. 58.3%, log-rank, P = 0.001). Conclusion Multiple reproductive hormone levels were influenced by NAC. The change in estradiol level had a positive connection with PR expression alteration. Furthermore, an inverse association between the change in progesterone level and RFS outcomes was found. These findings may provide a theoretical basis for pre-operative endocrine therapy combined with NAC in breast cancer patients.
Collapse
|
2
|
Abou-Fadel J, Jiang X, Grajeda B, Padarti A, Ellis CC, Flores E, Cailing-De La O AMD, Zhang J. CCM signaling complex (CSC) couples both classic and non-classic Progesterone receptor signaling. Cell Commun Signal 2022; 20:120. [PMID: 35971177 PMCID: PMC9377144 DOI: 10.1186/s12964-022-00926-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 06/30/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Breast cancer, the most diagnosed cancer, remains the second leading cause of cancer death in the United States, and excessive Progesterone (PRG) or Mifepristone (MIF) exposure may be at an increased risk for developing breast cancer. PRG exerts its cellular responses through signaling cascades involving classic, non-classic, or combined responses by binding to either classic nuclear PRG receptors (nPRs) or non-classic membrane PRG receptors (mPRs). Currently, the intricate balance and switch mechanisms between these two signaling cascades remain elusive. Three genes, CCM1-3, form the CCM signaling complex (CSC) which mediates multiple signaling cascades. METHODS Utilizing molecular, cellular, Omics, and systems biology approaches, we analyzed the relationship among the CSC, PRG, and nPRs/mPRs during breast cancer tumorigenesis. RESULTS We discovered that the CSC plays an essential role in coupling both classic and non-classic PRG signaling pathways by mediating crosstalk between them, forming the CmPn (CSC-mPRs-PRG-nPRs) signaling network. We found that mPR-specific PRG actions (PRG + MIF) play an essential role in this CmPn network during breast cancer tumorigenesis. Additionally, we have identified 4 categories of candidate biomarkers (9 intrinsic, 2 PRG-inducible, 1 PRG-repressive, 1 mPR-specific PRG-repressive, and 2 mPR-responsive) for Luminal-A breast cancers during tumorigenesis and have confirmed the prognostic application of RPL13 and RPL38 as intrinsic biomarkers using a dual validation method. CONCLUSIONS We have discovered that the CSC plays an essential role in the CmPn signaling network for Luminal-A breast cancers with identification of two intrinsic biomarkers. Video Abstract.
Collapse
Affiliation(s)
- Johnathan Abou-Fadel
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA
| | - Xiaoting Jiang
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA
| | - Brian Grajeda
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, 79902, USA
| | - Akhil Padarti
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA
| | - Cameron C Ellis
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, 79902, USA
| | - Esmeralda Flores
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA
| | - Alyssa-Marie D Cailing-De La O
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA
| | - Jun Zhang
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX, 79905, USA.
| |
Collapse
|
3
|
Abou-Fadel J, Grajeda B, Jiang X, Cailing-De La O AMD, Flores E, Padarti A, Bhalli M, Le A, Zhang J. CmP signaling network unveils novel biomarkers for triple negative breast cancer in African American women. Cancer Biomark 2022; 34:607-636. [DOI: 10.3233/cbm-210351] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Breast cancer is the most diagnosed cancer worldwide and remains the second leading cause of cancer death. While breast cancer mortality has steadily declined over the past decades through medical advances, an alarming disparity in breast cancer mortality has emerged between African American women (AAW) and Caucasian American women (CAW). New evidence suggests more aggressive behavior of triple-negative breast cancer (TNBC) in AAW may contribute to racial differences in tumor biology and mortality. Progesterone (PRG) can exert its cellular effects through either its classic, non-classic, or combined responses through binding to either classic nuclear PRG receptors (nPRs) or non-classic membrane PRG receptors (mPRs), warranting both pathways equally important in PRG-mediated signaling. In our previous report, we demonstrated that the CCM signaling complex (CSC) consisting of CCM1, CCM2, and CCM3 can couple both nPRs and mPRs signaling cascades to form a CSC-mPRs-PRG-nPRs (CmPn) signaling network in nPR positive(+) breast cancer cells. In this report, we furthered our research by establishing the CSC-mPRs-PRG (CmP) signaling network in nPR(-) breast cancer cells, demonstrating that a common core mechanism exists, regardless of nPR(+/-) status. This is the first report stating that inducible expression patterns exist between CCMs and major mPRs in TNBC cells. Furthermore, we firstly show mPRs in TNBC cells are localized in the nucleus and participate in nucleocytoplasmic shuttling in a coordinately synchronized fashion with CCMs under steroid actions, following the same cellular distribution as other well-defined steroid hormone receptors. Finally, for the first time, we deconvoluted the CmP signalosome by using systems biology and TNBC clinical data, which helped us understand key factors within the CmP network and identify 6 specific biomarkers with potential clinical applications associated with AAW-TNBC tumorigenesis. These novel biomarkers could have immediate clinical implications to dramatically improve health disparities among AAW-TNBCs.
Collapse
Affiliation(s)
- Johnathan Abou-Fadel
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Brian Grajeda
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Xiaoting Jiang
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Alyssa-Marie D. Cailing-De La O
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Esmeralda Flores
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Akhil Padarti
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Muaz Bhalli
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Alexander Le
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| | - Jun Zhang
- Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, El Paso, TX, USA
| |
Collapse
|
4
|
Renteria M, Belkin O, Jang D, Aickareth J, Bhalli M, Zhang J. CmPn signaling networks in the tumorigenesis of breast cancer. Front Endocrinol (Lausanne) 2022; 13:1013892. [PMID: 36246881 PMCID: PMC9556883 DOI: 10.3389/fendo.2022.1013892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022] Open
|
5
|
Poorolajal J, Heidarimoghis F, Karami M, Cheraghi Z, Gohari-Ensaf F, Shahbazi F, Zareie B, Ameri P, Sahraee F. Factors for the Primary Prevention of Breast Cancer: A Meta-Analysis of Prospective Cohort Studies. J Res Health Sci 2021; 21:e00520. [PMID: 34698654 PMCID: PMC8957681 DOI: 10.34172/jrhs.2021.57] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 07/14/2021] [Indexed: 12/13/2022] Open
Abstract
Background: This report provided the effect of 15 preventable factors on the risk of breast cancer incidence.
Study design: A systematic review and meta-analysis.
Methods: A detailed research was conducted on PubMed, Web of Science, and Scopus databases in January 2020. Reference lists were also screened. Prospective cohort studies addressing the associations between breast cancer and 15 factors were analyzed. Between-study heterogeneity was investigated using the χ2, τ2, and I2 statistics. The probability of publication bias was explored using the Begg and Egger tests and trim-and-fill analysis. Effect sizes were expressed as risk ratios (RRs) with 95% confidence intervals (CIs) using a random-effects model.
Results: Based on the results, out of 147,083 identified studies, 197 were eligible, including 19,413,702 participants. The RRs (95% CI) of factors associated with breast cancer were as follows: cigarette smoking 1.07 (1.05, 1.09); alcohol drinking 1.10 (1.07, 1.12); sufficient physical activity 0.90 (0.86, 0.95); overweight/obesity in premenopausal 0.92 (0.82, 1.03) and postmenopausal 1.18 (1.13, 1.24); nulliparity 1.16 (1.03, 1.31); late pregnancy 1.37 (1.25, 1.50); breastfeeding 0.87 (0.81, 0.93); ever using oral contraceptive 1.00 (0.96, 1.05); ever using estrogen 1.13 (1.04, 1.23); ever using progesterone 1.02 (0.84, 1.24); ever using estrogen/progesterone 1.60 (1.42, 1.80); ever taking hormone replacement therapy 1.26 (1.20, 1.32); red meat consumption 1.05 (1.00, 1.11); fruit/vegetable consumption 0.87 (0.83, 0.90); and history of radiation therapy, based on single study 1.31 (0.87, 1.98).
Conclusions: This meta-analysis provided a clear picture of several factors associated with the development of breast cancer. Moreover, the useful information in this study may be utilized for ranking and prioritizing preventable risk factors to implement effective prevention programs.
Collapse
Affiliation(s)
- Jalal Poorolajal
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. .,Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.,Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fatemeh Heidarimoghis
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Manoochehr Karami
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.,Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Zahra Cheraghi
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.,Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fatemeh Gohari-Ensaf
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fatemeh Shahbazi
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Bushra Zareie
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Pegah Ameri
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fatemeh Sahraee
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| |
Collapse
|
6
|
Liu Z, Hu S, Yun Z, Hu W, Zhang S, Luo D. Using dynamic cell communication improves treatment strategies of breast cancer. Cancer Cell Int 2021; 21:275. [PMID: 34034721 PMCID: PMC8145794 DOI: 10.1186/s12935-021-01979-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 05/13/2021] [Indexed: 12/28/2022] Open
Abstract
Several insights from the clinical treatment of breast cancer patients have revealed that only a portion of patients achieve the expected curative effect after traditional targeted therapy, that surgical treatment may promote the development of cancer metastasis, and that the optimal combination of neoadjuvant chemotherapy and traditional treatment is not clear. Therefore, a more precise classification of breast cancer and selection of treatment methods should be undertaken to improve the efficacy of clinical treatment. In the clinical treatment of breast cancer, cell communication molecules are often selected as therapeutic targets. However, various cell communications are not static. Their dynamic changes are related to communicating cells, communicating molecules, and various intertwined internal and external environmental factors. Understanding the dynamic microenvironment can help us improve therapeutic efficacy and provide new ways to more accurately determine the cancer status. Therefore, this review describes multiple types of cellular communication in the breast cancer microenvironment and incorporates internal and external environmental factors as variable signaling factors in cell communication. Using dynamic and developmental concepts, we summarize the functional changes in signaling molecules and cells to aid in the diagnosis and treatment of breast cancer.
Collapse
Affiliation(s)
- Zhibo Liu
- Second Clinic Medical College, The Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, People's Republic of China
| | - Song Hu
- Thrombosis Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Zehui Yun
- Queen Mary School, School of Medicine, Nanchang University, Nanchang, People's Republic of China
| | - Wanshan Hu
- School of Medicine, Forth Clinic Medical College, Nanchang University, Nanchang, People's Republic of China
| | - Shuhua Zhang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Aiguo Road, No. 152, Nanchang, 330006, Jiangxi, People's Republic of China.
| | - Daya Luo
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Bayi Road, No. 461, Nanchang, 330006, People's Republic of China.
| |
Collapse
|
7
|
Selective synthesis of the two main progesterone metabolites, 3α-hydroxy-5α-pregnanolone (allopregnanolone) and 3α-hydroxypregn-4-en-20-one, and an assessment of their effect on proliferation of hormone-dependent human breast cancer cells. Russ Chem Bull 2020. [DOI: 10.1007/s11172-020-2797-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
|
8
|
Progesterone, 5a-dihydropogesterone and allopregnanolone's effects on seizures: A review of animal and clinical studies. Seizure 2018; 63:26-36. [DOI: 10.1016/j.seizure.2018.10.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 10/16/2018] [Accepted: 10/20/2018] [Indexed: 02/07/2023] Open
|
9
|
Africander D, Storbeck KH. Steroid metabolism in breast cancer: Where are we and what are we missing? Mol Cell Endocrinol 2018; 466:86-97. [PMID: 28527781 DOI: 10.1016/j.mce.2017.05.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 05/08/2017] [Accepted: 05/16/2017] [Indexed: 12/12/2022]
Abstract
It is well-known that breast cancer is hormone-dependent and that steroid hormones exert their mitogenic effects by binding to estrogen, progesterone and androgen receptors. Vital to our understanding and treatment of this malignancy, is the local metabolism of steroid hormones in breast cancer tissue. This review summarises our current knowledge on steroid producing pathways in the adrenal, ovary and breast, while focussing on the availability of specific circulating hormone precursors and steroidogenic enzymes involved in the local synthesis and metabolism of steroid hormones in the breast. Consequently, we highlight alternate pathways that may be instrumental in the etiology of breast cancer.
Collapse
Affiliation(s)
- Donita Africander
- Department of Biochemistry, Stellenbosch University, Stellenbosch 7600, South Africa
| | - Karl-Heinz Storbeck
- Department of Biochemistry, Stellenbosch University, Stellenbosch 7600, South Africa.
| |
Collapse
|
10
|
Singh J, Singh R, Gupta P, Rai S, Ganesher A, Badrinarayan P, Sastry GN, Konwar R, Panda G. Targeting progesterone metabolism in breast cancer with l-proline derived new 14-azasteroids. Bioorg Med Chem 2017; 25:4452-4463. [PMID: 28693914 DOI: 10.1016/j.bmc.2017.06.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 06/05/2017] [Accepted: 06/17/2017] [Indexed: 02/08/2023]
Abstract
Breast cancer cell proliferation is promoted by a variety of mitogenic signals. Classically estrogen is considered as most predominant mitogenic signal in hormone-dependent breast cancer and progesterone is primarily considered to have protective effect. However, it is suggested that some progesterone metabolite may promote breast cancer and progesterone metabolites like 5α-pregnane and 4-pregnene could serve as regulators of estrogen-responsiveness of breast cancer cells. Here, we estimated the potential of alternate targeting of breast cancer via progesterone signalling. l-Proline derived novel 14-azasteroid compounds were screened against MCF-7 and MDA-MB-231 cell lines using MTT assay. In silico studies, cell cycle, Annexin-V-FITC/PI, JC-1 mitochondrial assay, ROS analysis were performed to analyse the impact of hit compound 3b on breast cancer cells. Further, we analysed the impact of hit 3b on the progesterone, its metabolites and enzymes responsible for the conversion of progesterone and its metabolites using ELISA. Data suggests that compound 3b binds and down regulates of 5α-reductase by specifically inhibiting production of progesterone metabolites that are capable of promoting breast cancer proliferation, epithelial mesenchymal transition and migration. This study establishes the proof of concept and generation of new leads for additional targeting of breast cancer.
Collapse
Affiliation(s)
- Jyotsana Singh
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow 226031, India
| | - Ritesh Singh
- Medicinal and Process Chemistry Division, CSIR-Central Drug Research Institute, Lucknow 226031, India
| | - Preeti Gupta
- Medicinal and Process Chemistry Division, CSIR-Central Drug Research Institute, Lucknow 226031, India
| | - Smita Rai
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow 226031, India
| | - Asha Ganesher
- Medicinal and Process Chemistry Division, CSIR-Central Drug Research Institute, Lucknow 226031, India
| | - Preethi Badrinarayan
- Centre for Molecular Modelling, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
| | - G Narahari Sastry
- Centre for Molecular Modelling, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
| | - Rituraj Konwar
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow 226031, India; Academy of Scientific & Innovative Research (AcSIR), Chennai 600 113, India.
| | - Gautam Panda
- Medicinal and Process Chemistry Division, CSIR-Central Drug Research Institute, Lucknow 226031, India; Academy of Scientific & Innovative Research (AcSIR), Chennai 600 113, India.
| |
Collapse
|