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Ye M, Marzullo B, Adler HJ, Hu BH. Expression profiling of cochlear genes uncovers sex-based cellular function in mouse cochleae. Hear Res 2024; 448:109030. [PMID: 38776705 DOI: 10.1016/j.heares.2024.109030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 04/13/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024]
Abstract
Sex is a pivotal biological factor that significantly impacts tissue homeostasis and disease susceptibility. In the auditory system, sex differences have been observed in cochlear physiology and responses to pathological conditions. However, the underlying molecular mechanisms responsible for these differences remain elusive. The current research explores the differences in gene expression profiles in the cochlea between male and female mice, aiming to understand the functional implication of sex-biased gene expression in each sex. Using RNA-sequencing analysis on cochlear tissues obtained from male and female mice, we identified a significant number of genes exhibiting sex-biased expression differences. While some of these differentially expressed genes are located on sex chromosomes, most are found on autosomal chromosomes. Further bioinformatic analysis revealed that these genes are involved in several key cellular functions. In males, these genes are notably linked to oxidative phosphorylation and RNA synthesis and processing, suggesting their involvement in mitochondrial energy production and regulatory control of gene expression. In contrast, sex-biased genes are associated with mechano-transduction and synaptic transmission within female cochleae. Collectively, our study provides valuable insights into the molecular differences between the sexes and emphasizes the need for future research to uncover their functional implications and relevance to auditory health and disease development.
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Affiliation(s)
- Mengxiao Ye
- The Department of Communicative Disorders and Sciences, University at Buffalo, 137 Cary Hall, 3435 Main Street, Buffalo, NY 14214, USA
| | - Brandon Marzullo
- UB Genomics and Bioinformatics Core NYS Center of Excellence in Bioinformatics & Life Sciences, University at Buffalo, 701 Ellicott Street, Buffalo, NY 14222, USA
| | - Henry J Adler
- The Department of Communicative Disorders and Sciences, University at Buffalo, 137 Cary Hall, 3435 Main Street, Buffalo, NY 14214, USA
| | - Bo Hua Hu
- The Department of Communicative Disorders and Sciences, University at Buffalo, 137 Cary Hall, 3435 Main Street, Buffalo, NY 14214, USA.
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2
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Tinholt M, Tekpli X, Torland LA, Tahiri A, Geisler J, Kristensen V, Sandset PM, Iversen N. The breast cancer coagulome in the tumor microenvironment and its role in prognosis and treatment response to chemotherapy. J Thromb Haemost 2024; 22:1319-1335. [PMID: 38237862 DOI: 10.1016/j.jtha.2024.01.003] [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: 08/23/2023] [Revised: 12/08/2023] [Accepted: 01/02/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND The procoagulant phenotype in cancer is linked to thrombosis, cancer progression, and immune response. A novel treatment that reduces the risk of both thrombosis and cancer progression without excess bleeding risk remains to be identified. OBJECTIVES Here, we aimed to broadly investigate the breast tumor coagulome and its relation to prognosis, treatment response to chemotherapy, and the tumor microenvironment. METHODS Key coagulation-related genes (n = 35) were studied in a Norwegian cohort with tumor (n = 134) and normal (n = 189) tissue and in the Cancer Genome Atlas (n = 1052) data set. We performed gene set variation analysis in the Norwegian cohort, and in the Cancer Genome Atlas cohort, associations with the tumor microenvironment and prognosis were evaluated. Analyses were performed with cBioPortal, Estimation of Stromal and Immune cells in Malignant Tumors Using Expression Data, Tumor Immune Estimation Resource, the integrated repository portal for tumor-immune system interactions, Tumor Immune Single-cell Hub 2, and the receiver operating characteristic plotter. Six independent breast cancer cohorts were used to study the tumor coagulome and treatment response to chemotherapy. RESULTS Twenty-two differentially expressed coagulation-related genes were identified in breast tumors. Several coagulome factors were correlated with tumor microenvironment characteristics and were expressed by nonmalignant cells in the tumor microenvironment. PLAT and F8 were independent predictors of better overall survival and progression-free survival, respectively. F12 and PLAU were predictors of worse progression-free survival. The PROCR-THBD-PLAT signature showed a promising predictive value (area under the curve, 0.75; 95% CI, 0.69-0.81; P = 3.6 × 10-17) for combination chemotherapy with fluorouracil, epirubicin, and cyclophosphamide. CONCLUSION The breast tumor coagulome showed potential in prediction of prognosis and chemotherapy response. Cells within the tumor microenvironment are sources of coagulome factors and may serve as therapeutic targets of coagulation factors.
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Affiliation(s)
- Mari Tinholt
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Department of Haematology, Oslo University Hospital, Oslo, Norway.
| | - Xavier Tekpli
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Lilly Anne Torland
- Department of Research and Innovation, Vestre Viken Hospital Trust, Drammen, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Andliena Tahiri
- Department of Research and Innovation, Vestre Viken Hospital Trust, Drammen, Norway; Department of Clinical Molecular Biology (EpiGen), Medical Division, Akershus University Hospital, Lørenskog, Norway
| | - Jürgen Geisler
- Department of Oncology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Campus Akershus University Hospital, Lørenskog, Norway
| | - Vessela Kristensen
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Per Morten Sandset
- Department of Haematology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Research Institute of Internal Medicine, Oslo University Hospital, Norway
| | - Nina Iversen
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
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3
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Wu Y, Huang J, Chen H, Tao H, He Y, Yang G, Zha Q, Lash GE, Li P. Tumor-Derived Oxidative Stress Triggers Ovarian Follicle Loss in Breast Cancer. THE AMERICAN JOURNAL OF PATHOLOGY 2023; 193:608-623. [PMID: 36804378 DOI: 10.1016/j.ajpath.2023.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/30/2022] [Accepted: 01/06/2023] [Indexed: 02/19/2023]
Abstract
Breast cancer is a common indication for ovarian cryopreservation. However, whether the grafting ovarian tissue meets functional requirements, as well as the need for additional interventions, remains unclear. The current study demonstrates abnormal serum hormones in breast cancer in humans and breast cancer cell line-derived tumor-bearing mice, and for the first time shows tumor-induced loss of primordial and growing follicles and the number of follicles being lost to either growth or atresia. A gene signature of tumor-bearing mice demonstrates the disturbed regulatory network of steroidogenesis, which links to mitochondria dysfunction in oocytes and granulosa cells via the phosphatidylinositol 3-kinase signaling pathway. Notably, increased reactive oxygen species are identified in serum and ovarian tissues in tumor-bearing mice. Furthermore, supplementation with vitamin C promotes follicular quiescence, repairing tumor-induced follicle loss via inactivation of the phosphatidylinositol 3-kinase-Akt-mammalian target of rapamycin pathway, indicating that antioxidants should be a potential fertility therapy to achieve more numbers of healthy follicles ready for ovarian cryopreservation.
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Affiliation(s)
- Yongqi Wu
- Department of Pathology, Jinan University School of Medicine, Guangzhou, China
| | - Jieqiong Huang
- Department of Pathology, Jinan University School of Medicine, Guangzhou, China
| | - Hui Chen
- Department of Pathology, Jinan University School of Medicine, Guangzhou, China
| | - Huan Tao
- The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yunbiao He
- Department of Medical Statistics, Jinan University School of Medicine, Guangzhou, China
| | - Guang Yang
- Department of Pathology, Jinan University School of Medicine, Guangzhou, China
| | - Qingbing Zha
- The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Gendie E Lash
- Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, China.
| | - Ping Li
- Department of Pathology, Jinan University School of Medicine, Guangzhou, China; Department of Gynecology and Obstetrics, The Fifth Affiliated Hospital of Jinan University, Heyuan, China.
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4
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Kalinkin AI, Sigin VO, Nemtsova MV, Strelnikov VV. Identification of prognostically significant DNA methylation signatures in patients with various breast cancer types. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2022. [DOI: 10.24075/brsmu.2022.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Breast cancer (BC) is the most frequently diagnosed cancer and one of the major causes of female mortality. The development of prognostic models based on multiomics data is the main goal of precision oncology. Aberrant DNA methylation in BC is a diagnostic marker of carcinogenesis. Despite the existing factors of BC prognosis, introduction of methylation markers would make it possible to obtain more accurate prognostic scores. The study was aimed to assess DNA methylation signatures in various BC subtypes for clinical endpoints and patients' clinicopathological characteristics. The data on methylation of CpG dinucleotides (probes) and clinical characteristics of BC samples were obtained from The Cancer Genome Atlas Breast Cancer database. CpG dinucleotides associated with the selected endpoints were chosen by univariate Cox regression method. The LASSO method was used to search for stable probes, while further signature construction and testing of the clinical characteristics independence were performed using multivariate Cox regression. The dignostic and prognostic potential of the signatures was assessed using ROC analysis and Kaplan–Meier curves. It has been shown that the signatures of selected probes have a significant diagnostic (AUC 0.76–1) and prognostic (p < 0.05) potential. This approach has made it possible to identify 47 genes associated with good and poor prognosis, among these five genes have been described earlier. If the genome-wide DNA analysis results are available, the research approach applied can be used to study molecular pathogenesis of BC and other disorders.
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Affiliation(s)
- AI Kalinkin
- Research Centre for Medical Genetics, Moscow, Russia
| | - VO Sigin
- Research Centre for Medical Genetics, Moscow, Russia
| | - MV Nemtsova
- Research Centre for Medical Genetics, Moscow, Russia
| | - VV Strelnikov
- Research Centre for Medical Genetics, Moscow, Russia
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Zhang S, Fitzsimmons KC, Hurvitz SA. Oncotype DX Recurrence Score in premenopausal women. Ther Adv Med Oncol 2022; 14:17588359221081077. [PMID: 35295864 PMCID: PMC8918761 DOI: 10.1177/17588359221081077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 01/31/2022] [Indexed: 12/19/2022] Open
Abstract
In the past 20 years, clinicians have shifted away from relying solely on clinicopathologic indicators toward increasing use of multigene expression assays in guiding treatment decisions regarding adjuvant chemotherapy for early-stage hormone receptor (HR)-positive, HER2-negative breast cancer. Oncotype DX Recurrence Score (RS) is one of the most widely used multigene assays when considering indications for adjuvant chemotherapy, and guidelines have recently incorporated its use in women with early HR-positive HER2-negative breast cancer and up to three positive lymph nodes. While multiple retrospective and prospective clinical studies have demonstrated that most women with a low- to mid-range RS (0-25) can safely forgo chemotherapy, premenopausal women remain an important subgroup for which recommendations based on RS are ill-defined. The majority of patients included in clinical trials and retrospective analyses validating the use of RS have been postmenopausal women. In the subgroup of premenopausal women with HR-positive HER2-negative breast cancer, studies indicate that traditional clinicopathologic methods for assessing risk continue to be powerful tools when combined with RS to predict benefit from chemotherapy. This suggests that there is an element of uncaptured risk inherent to the premenopausal state that evades characterization by RS alone. This review describes the evidence that has supported the recommendation of RS in clinical guidelines, specifically focusing on data for its current use in premenopausal women. We review available data regarding the impact of the menstrual cycle on hormonally regulated gene expression, which may drive variations in the RS. Further research on the reliability and interpretation of the RS in the premenopausal subgroup is necessary and represents a gap in knowledge of how the RS should be applied in premenopausal women.
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Affiliation(s)
- Shiliang Zhang
- Department of Internal Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Kasey C. Fitzsimmons
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Sara A. Hurvitz
- Division of Hematology and Oncology, Department of Internal Medicine, University of California Los Angeles, Los Angeles, CA, USA 90095
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6
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Chen K, Wu J, Fang Z, Shao X, Wang X. The Clinical Research and Latest Application of Genomic Assays in Early-Stage Breast Cancer. Technol Cancer Res Treat 2022; 21:15330338221117402. [PMID: 36976899 PMCID: PMC9486269 DOI: 10.1177/15330338221117402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Breast cancer is a kind of malignant tumor that seriously endangers women's life
and health. Once diagnosed, most patients will receive a combination of
treatments to achieve a cure. However, breast cancer is a heterogeneous disease.
Even with the same clinical stage and pathological features, its response to
treatment and postoperative recurrence risk may still be completely different.
With the advent of genomic assay, some patients with early-stage breast cancer
who originally needed treatment can still achieve long-term disease-free
survival without adjuvant chemotherapy, so as to achieve personalized and
accurate treatment mode to a certain extent. In this paper, we reviewed the 5
most widely used and studied genomic panel technologies in breast cancer, namely
Oncotype DX, MammaPrint,
RecurIndex, PAM50, and
EndoPredict, according to accessibility and availability.
Based on the results of the completed or ongoing clinical studies, we summarized
the origin, applicable population, and clinical efficacy of each detection
method, and discussed the potential development prospect of detection technology
in the future.
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Affiliation(s)
- Keyu Chen
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Jiayi Wu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Ziru Fang
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Xiying Shao
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Xiaojia Wang
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
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7
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Postpartum breast cancer has a distinct molecular profile that predicts poor outcomes. Nat Commun 2021; 12:6341. [PMID: 34732713 PMCID: PMC8566602 DOI: 10.1038/s41467-021-26505-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 10/06/2021] [Indexed: 12/21/2022] Open
Abstract
Young women's breast cancer (YWBC) has poor prognosis and known interactions with parity. Women diagnosed within 5-10 years of childbirth, defined as postpartum breast cancer (PPBC), have poorer prognosis compared to age, stage, and biologic subtype-matched nulliparous patients. Genomic differences that explain this poor prognosis remain unknown. In this study, using RNA expression data from clinically matched estrogen receptor positive (ER+) cases (n = 16), we observe that ER+ YWBC can be differentiated based on a postpartum or nulliparous diagnosis. The gene expression signatures of PPBC are consistent with increased cell cycle, T-cell activation and reduced estrogen receptor and TP53 signaling. When applied to a large YWBC cohort, these signatures for ER+ PPBC associate with significantly reduced 15-year survival rates in high compared to low expressing cases. Cumulatively these results provide evidence that PPBC is a unique entity within YWBC with poor prognostic phenotypes.
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8
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Bernhardt SM, Dasari P, Glynn DJ, Woolford L, Moldenhauer LM, Walsh D, Townsend AR, Price TJ, Ingman WV. Ovarian cycle stage critically affects 21-gene recurrence scores in Mmtv-Pymt mouse mammary tumours. BMC Cancer 2021; 21:736. [PMID: 34174867 PMCID: PMC8236154 DOI: 10.1186/s12885-021-08496-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 06/14/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The Oncotype DX 21-gene Recurrence Score is predictive of adjuvant chemotherapy benefit for women with early-stage, estrogen receptor (ER)-positive, HER2-negative breast cancer. In premenopausal women, fluctuations in estrogen and progesterone during the menstrual cycle impact gene expression in hormone-responsive cancers. However, the extent to which menstrual cycling affects the Oncotype DX 21-gene signature remains unclear. Here, we investigate the impact of ovarian cycle stage on the 21-gene signature using a naturally cycling mouse model of breast cancer. METHODS ER-positive mammary tumours were dissected from naturally cycling Mmtv-Pymt mice at either the estrus or diestrus phase of the ovarian cycle. The Oncotype DX 21-gene signature was assessed through quantitative real time-PCR, and a 21-gene experimental recurrence score analogous to the Oncotype DX Recurrence Score was calculated. RESULTS Tumours collected at diestrus exhibited significant differences in expression of 6 Oncotype DX signature genes (Ki67, Ccnb1, Esr1, Erbb2, Grb7, Bag1; p ≤ 0.05) and a significant increase in 21-gene recurrence score (21.8 ± 2.4; mean ± SEM) compared to tumours dissected at estrus (15.5 ± 1.9; p = 0.03). Clustering analysis revealed a subgroup of tumours collected at diestrus characterised by increased expression of proliferation- (p < 0.001) and invasion-group (p = 0.01) genes, and increased 21-gene recurrence score (p = 0.01). No correlation between ER, PR, HER2, and KI67 protein abundance measured by Western blot and abundance of mRNA for the corresponding gene was observed, suggesting that gene expression is more susceptible to hormone-induced fluctuation compared to protein expression. CONCLUSIONS Ovarian cycle stage at the time of tissue collection critically affects the 21-gene signature in Mmtv-Pymt murine mammary tumours. Further studies are required to determine whether Oncotype DX Recurrence Scores in women are similarly affected by menstrual cycle stage.
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Affiliation(s)
- Sarah M Bernhardt
- Discipline of Surgery, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide, 28 Woodville Rd, Woodville, 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Pallave Dasari
- Discipline of Surgery, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide, 28 Woodville Rd, Woodville, 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Danielle J Glynn
- Discipline of Surgery, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide, 28 Woodville Rd, Woodville, 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Lucy Woolford
- School of Animal and Veterinary Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Lachlan M Moldenhauer
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - David Walsh
- Discipline of Surgery, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide, 28 Woodville Rd, Woodville, 5011, Australia
| | - Amanda R Townsend
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Department of Medical Oncology, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Timothy J Price
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Department of Medical Oncology, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Wendy V Ingman
- Discipline of Surgery, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Adelaide, 28 Woodville Rd, Woodville, 5011, Australia.
- Robinson Research Institute, University of Adelaide, Adelaide, Australia.
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9
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Bernhardt SM, Dasari P, Glynn DJ, Townsend AR, Price TJ, Ingman WV. Comparison of hormone-induced mRNA and protein biomarker expression changes in breast cancer cells. Breast Cancer Res Treat 2021; 187:681-693. [PMID: 34057651 DOI: 10.1007/s10549-021-06254-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 05/04/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Protein biomarkers estrogen receptor (ER), progesterone receptor (PR), and marker of proliferation (Ki67) are routinely assessed by immunohistochemistry to guide treatment decisions for breast cancer. Now, quantification of mRNA encoding these proteins is being adopted in the clinic. However, mRNA and protein biomarkers may be differentially regulated by fluctuations in estrogen and progesterone that occur across the menstrual cycle in premenopausal breast cancer patients. This study aimed to compare how estrogen and progesterone affect mRNA and protein biomarker expression in hormone-responsive breast cancer cells. METHODS Hormone-responsive ZR-75-1 and T-47D human breast cancer cell lines were xenografted into the mammary fat pad of BALB/c nude mice supplemented with estrogen. Progesterone or vehicle was administered prior to dissection of tumors. Protein expression of ER, PR and Ki67 was quantified by immunohistochemistry, and mRNA encoding these proteins, ESR1, PGR and KI67, respectively, was quantified by real-time PCR. mRNA expression was also quantified in breast cancer cell lines treated with estrogen and progesterone in vitro. RESULTS In T-47D-xenografted tumors, estrogen and progesterone treatment reduced PGR and KI67 mRNA expression, and reduced PR and Ki67 protein positivity, compared to estrogen treatment alone. In ZR-75-1 xenografted tumors, no significant differences in protein or mRNA biomarker expression were observed. In vitro, estrogen and progesterone co-treatment significantly reduced ESR1 and PGR mRNA expression in both T-47D and ZR-75-1 cell lines. CONCLUSIONS Estrogen and progesterone similarly affect mRNA and protein biomarker expression in hormone-responsive breast cancer xenografts. Further research is needed to investigate concordance between protein and mRNA biomarkers in premenopausal breast cancer.
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Affiliation(s)
- Sarah M Bernhardt
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, DX465702, 28 Woodville Rd, Woodville, Adelaide, SA, 5011, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Pallave Dasari
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, DX465702, 28 Woodville Rd, Woodville, Adelaide, SA, 5011, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Danielle J Glynn
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, DX465702, 28 Woodville Rd, Woodville, Adelaide, SA, 5011, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Amanda R Townsend
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, DX465702, 28 Woodville Rd, Woodville, Adelaide, SA, 5011, Australia.,Department of Medical Oncology, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Timothy J Price
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, DX465702, 28 Woodville Rd, Woodville, Adelaide, SA, 5011, Australia.,Department of Medical Oncology, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Wendy V Ingman
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, DX465702, 28 Woodville Rd, Woodville, Adelaide, SA, 5011, Australia. .,Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia.
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10
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Bernhardt SM, Dasari P, Walsh D, Raymond W, Hull ML, Townsend AR, Price TJ, Ingman WV. The menstrual cycle is an under-appreciated factor in premenopausal breast cancer diagnosis and treatment. ACTA ACUST UNITED AC 2020. [DOI: 10.1016/j.coemr.2020.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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11
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Harnan S, Tappenden P, Cooper K, Stevens J, Bessey A, Rafia R, Ward S, Wong R, Stein RC, Brown J. Tumour profiling tests to guide adjuvant chemotherapy decisions in early breast cancer: a systematic review and economic analysis. Health Technol Assess 2020; 23:1-328. [PMID: 31264581 DOI: 10.3310/hta23300] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Breast cancer and its treatment can have an impact on health-related quality of life and survival. Tumour profiling tests aim to identify whether or not women need chemotherapy owing to their risk of relapse. OBJECTIVES To conduct a systematic review of the effectiveness and cost-effectiveness of the tumour profiling tests oncotype DX® (Genomic Health, Inc., Redwood City, CA, USA), MammaPrint® (Agendia, Inc., Amsterdam, the Netherlands), Prosigna® (NanoString Technologies, Inc., Seattle, WA, USA), EndoPredict® (Myriad Genetics Ltd, London, UK) and immunohistochemistry 4 (IHC4). To develop a health economic model to assess the cost-effectiveness of these tests compared with clinical tools to guide the use of adjuvant chemotherapy in early-stage breast cancer from the perspective of the NHS and Personal Social Services. DESIGN A systematic review and health economic analysis were conducted. REVIEW METHODS The systematic review was partially an update of a 2013 review. Nine databases were searched in February 2017. The review included studies assessing clinical effectiveness in people with oestrogen receptor-positive, human epidermal growth factor receptor 2-negative, stage I or II cancer with zero to three positive lymph nodes. The economic analysis included a review of existing analyses and the development of a de novo model. RESULTS A total of 153 studies were identified. Only one completed randomised controlled trial (RCT) using a tumour profiling test in clinical practice was identified: Microarray In Node-negative Disease may Avoid ChemoTherapy (MINDACT) for MammaPrint. Other studies suggest that all the tests can provide information on the risk of relapse; however, results were more varied in lymph node-positive (LN+) patients than in lymph node-negative (LN0) patients. There is limited and varying evidence that oncotype DX and MammaPrint can predict benefit from chemotherapy. The net change in the percentage of patients with a chemotherapy recommendation or decision pre/post test ranged from an increase of 1% to a decrease of 23% among UK studies and a decrease of 0% to 64% across European studies. The health economic analysis suggests that the incremental cost-effectiveness ratios for the tests versus current practice are broadly favourable for the following scenarios: (1) oncotype DX, for the LN0 subgroup with a Nottingham Prognostic Index (NPI) of > 3.4 and the one to three positive lymph nodes (LN1-3) subgroup (if a predictive benefit is assumed); (2) IHC4 plus clinical factors (IHC4+C), for all patient subgroups; (3) Prosigna, for the LN0 subgroup with a NPI of > 3.4 and the LN1-3 subgroup; (4) EndoPredict Clinical, for the LN1-3 subgroup only; and (5) MammaPrint, for no subgroups. LIMITATIONS There was only one completed RCT using a tumour profiling test in clinical practice. Except for oncotype DX in the LN0 group with a NPI score of > 3.4 (clinical intermediate risk), evidence surrounding pre- and post-test chemotherapy probabilities is subject to considerable uncertainty. There is uncertainty regarding whether or not oncotype DX and MammaPrint are predictive of chemotherapy benefit. The MammaPrint analysis uses a different data source to the other four tests. The Translational substudy of the Arimidex, Tamoxifen, Alone or in Combination (TransATAC) study (used in the economic modelling) has a number of limitations. CONCLUSIONS The review suggests that all the tests can provide prognostic information on the risk of relapse; results were more varied in LN+ patients than in LN0 patients. There is limited and varying evidence that oncotype DX and MammaPrint are predictive of chemotherapy benefit. Health economic analyses indicate that some tests may have a favourable cost-effectiveness profile for certain patient subgroups; all estimates are subject to uncertainty. More evidence is needed on the prediction of chemotherapy benefit, long-term impacts and changes in UK pre-/post-chemotherapy decisions. STUDY REGISTRATION This study is registered as PROSPERO CRD42017059561. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Sue Harnan
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Paul Tappenden
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Katy Cooper
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - John Stevens
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Alice Bessey
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Rachid Rafia
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Sue Ward
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Ruth Wong
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Robert C Stein
- University College London Hospitals Biomedical Research Centre, London, UK.,Research Department of Oncology, University College London, London, UK
| | - Janet Brown
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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12
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Discordance in 21-gene recurrence scores between paired breast cancer samples is inversely associated with patient age. Breast Cancer Res 2020; 22:90. [PMID: 32811558 PMCID: PMC7437067 DOI: 10.1186/s13058-020-01327-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/06/2020] [Indexed: 12/18/2022] Open
Abstract
Background The Oncotype DX 21-gene Recurrence Score is a genomic-based algorithm that guides adjuvant chemotherapy treatment decisions for women with early-stage, oestrogen receptor (ER)-positive breast cancer. However, there are age-related differences in chemotherapy benefit for women with intermediate Oncotype DX Recurrence Scores that are not well understood. Menstrual cycling in younger women is associated with hormonal fluctuations that might affect the expression of genomic predictive biomarkers and alter Recurrence Scores. Here, we use paired human breast cancer samples to demonstrate that the clinically employed Oncotype DX algorithm is critically affected by patient age. Methods RNA was extracted from 25 pairs of formalin-fixed paraffin-embedded, invasive ER-positive breast cancer samples that had been collected approximately 2 weeks apart. A 21-gene signature analogous to the Oncotype DX platform was assessed through quantitative real-time PCR, and experimental recurrence scores were calculated using the Oncotype DX algorithm. Results There was a significant inverse association between patient age and discordance in the recurrence score. For every 1-year decrease in age, discordance in recurrence scores between paired samples increased by 0.08 units (95% CI − 0.14, − 0.01; p = 0.017). Discordance in recurrence scores for women under the age of 50 was driven primarily by proliferation- and HER2-associated genes. Conclusion The Oncotype DX 21-gene Recurrence Score algorithm is critically affected by patient age. These findings emphasise the need for the consideration of patient age, particularly for women younger than 50, in the development and application of genomic-based algorithms for breast cancer care.
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13
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Terkelsen T, Russo F, Gromov P, Haakensen VD, Brunak S, Gromova I, Krogh A, Papaleo E. Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration. Breast Cancer Res 2020; 22:73. [PMID: 32605588 PMCID: PMC7329449 DOI: 10.1186/s13058-020-01295-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 05/14/2020] [Indexed: 12/21/2022] Open
Abstract
Background Studies on tumor-secreted microRNAs point to a functional role of these in cellular communication and reprogramming of the tumor microenvironment. Uptake of tumor-secreted microRNAs by neighboring cells may result in the silencing of mRNA targets and, in turn, modulation of the transcriptome. Studying miRNAs externalized from tumors could improve cancer patient diagnosis and disease monitoring and help to pinpoint which miRNA-gene interactions are central for tumor properties such as invasiveness and metastasis. Methods Using a bioinformatics approach, we analyzed the profiles of secreted tumor and normal interstitial fluid (IF) microRNAs, from women with breast cancer (BC). We carried out differential abundance analysis (DAA), to obtain miRNAs, which were enriched or depleted in IFs, from patients with different clinical traits. Subsequently, miRNA family enrichment analysis was performed to assess whether any families were over-represented in the specific sets. We identified dysregulated genes in tumor tissues from the same cohort of patients and constructed weighted gene co-expression networks, to extract sets of co-expressed genes and co-abundant miRNAs. Lastly, we integrated miRNAs and mRNAs to obtain interaction networks and supported our findings using prediction tools and cancer gene databases. Results Network analysis showed co-expressed genes and miRNA regulators, associated with tumor lymphocyte infiltration. All of the genes were involved in immune system processes, and many had previously been associated with cancer immunity. A subset of these, BTLA, CXCL13, IL7R, LAMP3, and LTB, was linked to the presence of tertiary lymphoid structures and high endothelial venules within tumors. Co-abundant tumor interstitial fluid miRNAs within this network, including miR-146a and miR-494, were annotated as negative regulators of immune-stimulatory responses. One co-expression network encompassed differences between BC subtypes. Genes differentially co-expressed between luminal B and triple-negative breast cancer (TNBC) were connected with sphingolipid metabolism and predicted to be co-regulated by miR-23a. Co-expressed genes and TIF miRNAs associated with tumor grade were BTRC, CHST1, miR-10a/b, miR-107, miR-301a, and miR-454. Conclusion Integration of IF miRNAs and mRNAs unveiled networks associated with patient clinicopathological traits, and underlined molecular mechanisms, specific to BC sub-groups. Our results highlight the benefits of an integrative approach to biomarker discovery, placing secreted miRNAs within a biological context.
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Affiliation(s)
- Thilde Terkelsen
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Francesco Russo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pavel Gromov
- Breast Cancer Biology Group, Genome Integrity Unit, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Vilde Drageset Haakensen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Irina Gromova
- Breast Cancer Biology Group, Genome Integrity Unit, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Anders Krogh
- Unit of Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Elena Papaleo
- Computational Biology Laboratory, Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen, Denmark. .,Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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14
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Real world data analysis of next generation sequencing and protein expression in metastatic breast cancer patients. Sci Rep 2020; 10:10459. [PMID: 32591580 PMCID: PMC7319999 DOI: 10.1038/s41598-020-67393-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/05/2020] [Indexed: 11/11/2022] Open
Abstract
Next generation sequencing (NGS) together with protein expression analysis is back bone of molecularly targeted therapy in precision medicine. Our retrospective study shows our experience with NGS of 324 genes in combination with protein expression in patients with advanced breast cancer (aBC). The primary purpose was to analyze the prevalence of individual genetic alterations combined with protein expression to define potential targets for an individualized therapy. Between April 2018 and September 2019, 41 patients with aBC were offered a NGS test. The test was used to detect clinically relevant genomic alterations and to support further targeted therapy decisions. Hormone receptors, ERBB2 of tumors and PD-L1 was stained by immunohistochemistry. The data was recorded up to September 2019. After prior consent 41 results were available for further analysis. The most common BC subtypes were triple-negative (n = 16), HR+/ERBB2− (n = 15), and ERBB2+ (n = 9), with one missing data of the primary tumor. 27 patients had more than one genetic alteration. The most common alterations were PIK3CA (n = 14) and ERBB2 alterations (n = 11). Followed by ESR1 (n = 10), FGFR1 (n = 7) and PTEN (n = 7). 68% of the alterations were clinically relevant (tier I and II of ESCAT classification). The most common treatment recommendation was ERBB2-directed therapy (single or double blockade, trastuzumab emtansine and lapatinib) followed by alpelisib in combination with fulvestrant. Comprehensive genomic profiling combined with protein expression analysis in aBC allowed a guided personalized therapy for half of our patients. So far there are no well-defined tools allowing interpretations of genomic alterations detected by NGS in combination with protein expression and other factors.
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15
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Bernhardt SM, Dasari P, Walsh D, Townsend AR, Price TJ, Ingman WV. Timing of breast cancer surgery during the menstrual cycle-is there an optimal time of the month? Oncol Lett 2020; 20:2045-2057. [PMID: 32782523 PMCID: PMC7400969 DOI: 10.3892/ol.2020.11771] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 04/21/2020] [Indexed: 12/23/2022] Open
Abstract
An intriguing relationship between menstrual cycle phase at the time of breast cancer surgery and clinical outcomes was first proposed in the late 1980s. Despite a number of clinical studies conducted to address this, as well as meta-analyses and systematic reviews, there remains significant controversy surrounding the effect of menstrual cycle phase at time of surgery on the prognosis of premenopausal breast cancer. While some studies have suggested that surgery performed during the luteal phase results in the most favourable outcome, other studies report the follicular phase is more favourable, and others show no association. Given the conflicting results, there remains insufficient evidence to determine whether there is an optimal time of the month to perform surgery. This issue has dogged breast cancer surgery for decades; knowledge of an optimal time of the month to conduct surgery would be a simple approach to improving patient outcomes. This review explores the potential biological mechanisms through which the hormonal milieu might contribute to differences in prognosis, and why clinical findings are so variable. It is concluded that a significant problem with current clinical research is the lack of insight from mechanistic studies. While there are a number of plausible biological mechanisms that could lead to altered survival, supporting evidence is limited. There are also variable approaches to defining the menstrual cycle phase and hormone receptor status of the tumour and few studies controlled for prognostic factors such as tumour size and stage, or addressed the impact of adjuvant treatments. Elucidation of the specific confounding factors, as well as biological mechanistic pathways that could explain the potential relationship between timing of surgery and survival, will greatly assist in designing robust well-controlled prospective clinical studies to evaluate this paradigm.
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Affiliation(s)
- Sarah M Bernhardt
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Woodville, South Australia 5011, Australia.,The Robinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Pallave Dasari
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Woodville, South Australia 5011, Australia.,The Robinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia
| | - David Walsh
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Woodville, South Australia 5011, Australia
| | - Amanda R Townsend
- Department of Medical Oncology, The Queen Elizabeth Hospital, Woodville, South Australia 5011, Australia
| | - Timothy J Price
- Department of Medical Oncology, The Queen Elizabeth Hospital, Woodville, South Australia 5011, Australia
| | - Wendy V Ingman
- Discipline of Surgery, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Woodville, South Australia 5011, Australia.,The Robinson Research Institute, University of Adelaide, Adelaide, South Australia 5005, Australia
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16
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Osako T, Lee H, Turashvili G, Chiu D, McKinney S, Joosten SEP, Wilkinson D, Nielsen TO, Zwart W, Emerman JT, Eaves CJ, Caldas C, Aparicio S. Age-correlated protein and transcript expression in breast cancer and normal breast tissues is dominated by host endocrine effects. ACTA ACUST UNITED AC 2020; 1:518-532. [DOI: 10.1038/s43018-020-0060-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
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17
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Alzubaidi A, Tepper J, Lotfi A. A novel deep mining model for effective knowledge discovery from omics data. Artif Intell Med 2020; 104:101821. [DOI: 10.1016/j.artmed.2020.101821] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 01/23/2020] [Accepted: 02/17/2020] [Indexed: 10/24/2022]
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18
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Gene Expression and miRNAs Profiling: Function and Regulation in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Breast Cancer. Cancers (Basel) 2019; 11:cancers11050646. [PMID: 31083383 PMCID: PMC6562440 DOI: 10.3390/cancers11050646] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 05/06/2019] [Accepted: 05/08/2019] [Indexed: 02/06/2023] Open
Abstract
Breast cancer is the second most common cause of cancer-related deaths among women worldwide. It is a heterogeneous disease with four major molecular subtypes. One of the subtypes, human epidermal growth factor receptor 2 (HER2)-enriched (HER2-positive) is characterized by the absence of estrogen and progesterone receptors and overexpression of HER2 receptor, and accounts for 15–20% of all breast cancers. Despite the anti-HER2 and cytotoxic chemotherapy, HER2 subtype is an aggressive disease with significant mortality. Recent advances in molecular biology techniques, including gene expression profiling, proteomics, and microRNA analysis, have been extensively used to explore the underlying mechanisms behind human breast carcinogenesis and metastasis including HER2-positive breast cancer, paving the way for developing new targeted therapies. This review focuses on recent advances on gene expression and miRNA status in HER2-positive breast cancer.
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19
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Nguyen TD, Davis J, Eugenio RA, Liu Y. Female Sex Hormones Activate Human Endogenous Retrovirus Type K Through the OCT4 Transcription Factor in T47D Breast Cancer Cells. AIDS Res Hum Retroviruses 2019; 35:348-356. [PMID: 30565469 DOI: 10.1089/aid.2018.0173] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Female sex hormones, the octamer-binding transcription factor 4 (OCT4), and human endogenous retroviruses (HERVs) are all involved in the development of breast cancer. However, whether there are cross talks between these factors to promote breast cancer is still unknown. Using the T47D human breast cancer cell line, we have found that estradiol and progesterone synergistically activate HERV-K through nuclear receptors. The progesterone receptor (isoform B) binds a progesterone-response element (PRE) in a long terminal repeat (LTR5HS) of HERV-K. There is another transcription factor-binding element in the LTR, the octamer motif, which is required for the hormones to activate gene transcription downstream of the LTR. Gel shift assays and co-immunoprecipitation indicate that the progesterone receptor (PR) and the OCT4 transcription factor interact on the protein level. Methylation of the PRE enhances binding of the PR. These findings help to elucidate the previously unknown cross talks among the sex hormones, OCT4, and HERVs in contributing to breast cancer proliferation and tumorigenesis, which may be useful in guiding further development of cancer therapies.
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Affiliation(s)
- Tam D. Nguyen
- Department of Molecular and Cellular Sciences, Liberty University College of Osteopathic Medicine, Lynchburg, Virginia
| | - James Davis
- Department of Molecular and Cellular Sciences, Liberty University College of Osteopathic Medicine, Lynchburg, Virginia
| | - Roelle A. Eugenio
- Department of Molecular and Cellular Sciences, Liberty University College of Osteopathic Medicine, Lynchburg, Virginia
| | - Yingguang Liu
- Department of Molecular and Cellular Sciences, Liberty University College of Osteopathic Medicine, Lynchburg, Virginia
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20
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Garmpis N, Damaskos C, Garmpi A, Kalampokas E, Kalampokas T, Spartalis E, Daskalopoulou A, Valsami S, Kontos M, Nonni A, Kontzoglou K, Perrea D, Nikiteas N, Dimitroulis D. Histone Deacetylases as New Therapeutic Targets in Triple-negative Breast Cancer: Progress and Promises. Cancer Genomics Proteomics 2018; 14:299-313. [PMID: 28870998 DOI: 10.21873/cgp.20041] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 07/17/2017] [Accepted: 07/19/2017] [Indexed: 02/07/2023] Open
Abstract
Triple-negative breast cancer (TNBC) lacks expression of estrogen receptor (ER), progesterone receptor (PR) and HER2 gene. It comprises approximately 15-20% of breast cancers (BCs). Unfortunately, TNBC's treatment continues to be a clinical problem because of its relatively poor prognosis, its aggressiveness and the lack of targeted therapies, leaving chemotherapy as the mainstay of treatment. It is essential to find new therapies against TNBC, in order to surpass the resistance and the invasiveness of already existing therapies. Given the fact that epigenetic processes control both the initiation and progression of TNBC, there is an increasing interest in the mechanisms, molecules and signaling pathways that participate at the epigenetic modulation of genes expressed in carcinogenesis. The acetylation of histone proteins provokes the transcription of genes involved in cell growth, and the expression of histone deacetylases (HDACs) is frequently up-regulated in many malignancies. Unfortunately, in the field of BC, HDAC inhibitors have shown limited effect as single agents. Nevertheless, their use in combination with kinase inhibitors, autophagy inhibitors, ionizing radiation, or two HDAC inhibitors together is currently being evaluated. HDAC inhibitors such as suberoylanilidehydroxamic acid (SAHA), sodium butyrate, mocetinostat, panobinostat, entinostat, YCW1 and N-(2-hydroxyphenyl)-2-propylpentanamide have shown promising therapeutic outcomes against TNBC, especially when they are used in combination with other anticancer agents. More studies concerning HDAC inhibitors in breast carcinomas along with a more accurate understanding of the TNBC's pathobiology are required for the possible identification of new therapeutic strategies.
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Affiliation(s)
- Nikolaos Garmpis
- Second Department of Propedeutic Surgery, Laiko General Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Christos Damaskos
- Second Department of Propedeutic Surgery, Laiko General Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece.,N.S. Christeas Laboratory of Experimental Surgery and Surgical Research, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Anna Garmpi
- Internal Medicine Department, Laiko General Hospital, University of Athens Medical School, Athens, Greece
| | | | - Theodoros Kalampokas
- Assisted Conception Unit, Second Department of Obstetrics and Gynecology, Aretaieion Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleftherios Spartalis
- N.S. Christeas Laboratory of Experimental Surgery and Surgical Research, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Afrodite Daskalopoulou
- N.S. Christeas Laboratory of Experimental Surgery and Surgical Research, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Serena Valsami
- Blood Transfusion Department, Aretaieion Hospital, Medical School, National and Kapodistrian Athens University, Athens, Greece
| | - Michael Kontos
- First Department of Surgery, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Afroditi Nonni
- First Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Kontzoglou
- Second Department of Propedeutic Surgery, Laiko General Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Despina Perrea
- N.S. Christeas Laboratory of Experimental Surgery and Surgical Research, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Nikiteas
- N.S. Christeas Laboratory of Experimental Surgery and Surgical Research, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios Dimitroulis
- Second Department of Propedeutic Surgery, Laiko General Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
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21
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Butler EN, Bensen JT, Chen M, Conway K, Richardson DB, Sun X, Geradts J, Olshan AF, Troester MA. Prediagnostic Smoking Is Associated with Binary and Quantitative Measures of ER Protein and ESR1 mRNA Expression in Breast Tumors. Cancer Epidemiol Biomarkers Prev 2017; 27:67-74. [PMID: 29133365 DOI: 10.1158/1055-9965.epi-17-0404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Revised: 10/03/2017] [Accepted: 10/25/2017] [Indexed: 12/30/2022] Open
Abstract
Background: Smoking is a possible risk factor for breast cancer and has been linked to increased risk of estrogen receptor-positive (ER+) disease in some epidemiologic studies. It is unknown whether smoking has quantitative effects on ER expression.Methods: We examined relationships between smoking and ER expression from tumors of 1,888 women diagnosed with invasive breast cancer from a population-based study in North Carolina. ER expression was characterized using binary (±) and continuous measures for ER protein, ESR1 mRNA, and a multigene luminal score (LS) that serves as a measure of estrogen signaling in breast tumors. We used logistic and linear regression models to estimate temporal and dose-dependent associations between smoking and ER measures.Results: The odds of ER+, ESR1+, and LS+ tumors among current smokers (at the time of diagnosis), those who smoked 20 or more years, and those who smoked within 5 years of diagnosis were nearly double those of nonsmokers. Quantitative levels of ESR1 were highest among current smokers compared with never smokers overall [mean (log2) = 9.2 vs. 8.7, P < 0.05] and among ER+ cases; however, we did not observe associations between smoking measures and continuous ER protein expression.Conclusions: In relationship to breast cancer diagnosis, recent smoking was associated with higher odds of the ER+, ESR1+, and LS+ subtype. Current smoking was associated with elevated ESR1 mRNA levels and an elevated LS, but not with altered ER protein.Impact: A multigene LS and single-gene ESR1 mRNA may capture tumor changes associated with smoking. Cancer Epidemiol Biomarkers Prev; 27(1); 67-74. ©2017 AACR.
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Affiliation(s)
- Eboneé N Butler
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Mengjie Chen
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Kathleen Conway
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - David B Richardson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Xuezheng Sun
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Joseph Geradts
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina.
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22
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Subramani R, Nandy SB, Pedroza DA, Lakshmanaswamy R. Role of Growth Hormone in Breast Cancer. Endocrinology 2017; 158:1543-1555. [PMID: 28379395 DOI: 10.1210/en.2016-1928] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 03/28/2017] [Indexed: 12/19/2022]
Abstract
Breast cancer is one of the most common cancers diagnosed in women. Approximately two-thirds of all breast cancers diagnosed are classified as hormone dependent, which indicates that hormones are the key factors that drive the growth of these breast cancers. Ovarian and pituitary hormones play a major role in the growth and development of normal mammary glands and breast cancer. In particular, the effect of the ovarian hormone estrogen has received much attention in regard to breast cancer. Pituitary hormones prolactin and growth hormone have also been associated with breast cancer. Although the role of these pituitary hormones in breast cancers has been studied, it has not been investigated extensively. In this review, we attempt to compile basic information from most of the currently available literature to understand and demonstrate the significance of growth hormone in breast cancer. Based on the available literature, it is clear that growth hormone plays a significant role in the development, progression, and metastasis of breast cancer by influencing tumor angiogenesis, stemness, and chemoresistance.
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Affiliation(s)
- Ramadevi Subramani
- Center of Emphasis in Cancer Research, Department of Biomedical Sciences MSB1, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, El Paso, Texas 79905
| | - Sushmita B Nandy
- Center of Emphasis in Cancer Research, Department of Biomedical Sciences MSB1, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, El Paso, Texas 79905
| | - Diego A Pedroza
- Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center El Paso, El Paso, Texas 79905
| | - Rajkumar Lakshmanaswamy
- Center of Emphasis in Cancer Research, Department of Biomedical Sciences MSB1, Texas Tech University Health Sciences Center, Paul L. Foster School of Medicine, El Paso, Texas 79905
- Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center El Paso, El Paso, Texas 79905
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23
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Atashgaran V, Wrin J, Barry SC, Dasari P, Ingman WV. Dissecting the Biology of Menstrual Cycle-Associated Breast Cancer Risk. Front Oncol 2016; 6:267. [PMID: 28083513 PMCID: PMC5183603 DOI: 10.3389/fonc.2016.00267] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/14/2016] [Indexed: 12/14/2022] Open
Abstract
Fluctuations in circulating estrogen and progesterone across the menstrual cycle lead to increased breast cancer susceptibility in women; however, the biological basis for this increased risk is not well understood. Estrogen and progesterone have important roles in normal mammary gland development, where they direct dynamic interactions among the hormonally regulated mammary epithelial, stromal, and immune cell compartments. The continuous fluctuations of estrogen and progesterone over a woman’s reproductive lifetime affect the turnover of mammary epithelium, stem cells, and the extracellular matrix, as well as regulate the phenotype and function of mammary stromal and immune cells, including macrophages and regulatory T cells. Collectively, these events may result in genome instability, increase the chance of random genetic mutations, dampen immune surveillance, and promote tolerance in the mammary gland, and thereby increase the risk of breast cancer initiation. This article reviews the current status of our understanding of the molecular and the cellular changes that occur in the mammary gland across the menstrual cycle and how continuous menstrual cycling may increase breast cancer susceptibility in women.
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Affiliation(s)
- Vahid Atashgaran
- Discipline of Surgery, School of Medicine, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Joseph Wrin
- Discipline of Surgery, School of Medicine, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Simon Charles Barry
- The Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Molecular Immunology Laboratory, Discipline of Pediatrics, University of Adelaide, North Adelaide, SA, Australia
| | - Pallave Dasari
- Discipline of Surgery, School of Medicine, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Wendy V Ingman
- Discipline of Surgery, School of Medicine, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
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