1
|
Bai Z, Zhang G. The application of mendelian randomization in cancer research: a bibliometric analysis. Discov Oncol 2025; 16:463. [PMID: 40185974 PMCID: PMC11971120 DOI: 10.1007/s12672-025-02226-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 03/24/2025] [Indexed: 04/07/2025] Open
Abstract
Cancer is a major public health and economic issue faced globally today, significantly affecting human health and life. Due to various constraints, exploring the causal relationship between risk factors and cancer is challenging and not exactly accurate. The advent of Mendelian randomization (MR) effectively addresses these issues, providing new avenues for exploring causal relationships. We downloaded literature related to the application of MR in cancer from the Web of Science Core Collection (WoSCC) from 2005 to October 21, 2024, limiting the document type to articles and the language to English, resulting in a total of 2058 articles. We downloaded them in plain text format and extracted information on countries, authors, institutions, keywords, journals, citation counts, and publication dates, utilizing VOSviewer, CiteSpace, and R language for bibliometric analysis. From 2005 to 2024, the number of publications on the application of MR in cancer has shown a growth trend. China was the most productive country (1305); the University of Bristol was the most prolific institution (213); Smith, George Davey published the most articles in this field (59) with a total citation count of 5344; the most prolific journal in this field is Scientific Reports (71). Chronic diseases and cancer, inflammation and cancer, and sex hormones and cancer are three hot topics in the current research on the application of MR in cancer. In the future, optimizing statistical methods, standardizing research processes, collecting data from a broader range of populations, expanding data scale, and integrating other research methods to enhance research quality will be the development trends of MR in cancer research. In summary, this study employed bibliometric methods to comprehensively analyze the literature on the application of MR in cancer over the past 20 years, evaluating the historical development, current applications, research hotspots, and future trends of MR in the field of cancer.
Collapse
Affiliation(s)
- Zhongtao Bai
- Department of General Surgery, Suzhou Hospital of Anhui Medical University, Suzhou, 234000, Anhui Province, China
| | - Genlong Zhang
- Department of General Surgery, Suzhou Hospital of Anhui Medical University, Suzhou, 234000, Anhui Province, China.
| |
Collapse
|
2
|
Aavani F, Rahimi R, Goleij P, Rezaeizadeh H, Bahramsoltani R. Royal jelly and its hormonal effects in breast cancer: a literature review. Daru 2024; 32:745-760. [PMID: 38717683 PMCID: PMC11555035 DOI: 10.1007/s40199-024-00513-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 04/10/2024] [Indexed: 11/12/2024] Open
Abstract
BACKGROUND Breast cancer is the most common cancer in women which can be cured in most individuals with early-stage non-metastatic disease. Imbalance in estrogen signaling pathways and propagating levels of estrogens has important roles in breast cancer development. Targeting the estrogen receptor signaling pathway is linked to breast cancer treatment. Royal jelly is one of the bee products containing 10-hydroxy-2-decenoic acid, a structure similar to mammalian estrogen, allowing it to attach to estrogen receptors. It is considered as a general tonic and immunomodulator which may be helpful in reducing the side effects of cancer treatments. Currently, there are controversial data regarding the pros and cons of royal jelly in cancer. Here we provide an overview of the effects of royal jelly on sex hormones and its possible role in breast cancer. METHODS Electronic databases including PubMed, Scopus, and Web of Science were searched with the search terms royal jelly, cancer, and sexual hormones. All preclinical and clinical studies regarding the hormonal effects of royal jelly were included. RESULTS According to the collected preclinical data, consumption of royal jelly at daily doses below 200 mg/kg can be useful to decrease the risk of breast cancer since it reduces the serum level of estrogen; whereas increases progesterone, which subsequently decreases the expression of ERs on the ER-positive cells. CONCLUSION Future clinical studies are essential to confirm the safe dose of royal jelly as an adjuvant therapy in breast cancer.
Collapse
Affiliation(s)
- Farzaneh Aavani
- Institute of Experimental and Clinical Pharmacology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Roja Rahimi
- Department of Traditional Pharmacy, School of Persian Medicine, Tehran University of Medical Sciences, No. 27, North Sarparast, West Taleqani, Felestin Sq., P.O. Box: 1417653761, Tehran, Iran
- PhytoPharmacology Interest Group (PPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Pouya Goleij
- Department of Genetics, Sana Institute of Higher Education, Sari, Iran
- PhytoPharmacology Interest Group (PPIG), Universal Scientific Education and Research Network (USERN), Sari, Iran
| | - Hossein Rezaeizadeh
- Department of Traditional Medicine, School of Persian Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Roodabeh Bahramsoltani
- Department of Traditional Pharmacy, School of Persian Medicine, Tehran University of Medical Sciences, No. 27, North Sarparast, West Taleqani, Felestin Sq., P.O. Box: 1417653761, Tehran, Iran.
- PhytoPharmacology Interest Group (PPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
| |
Collapse
|
3
|
Kim J, Ben-Umeh KC, Kelley J, Davidson LE, Hashibe M, Smith K, Richards N, Adams T. Long-Term Cancer Outcomes Following Bariatric Surgery: A Comparative Analysis of Surgical Procedures. Cancers (Basel) 2024; 16:3730. [PMID: 39594685 PMCID: PMC11591725 DOI: 10.3390/cancers16223730] [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: 09/30/2024] [Revised: 10/31/2024] [Accepted: 11/03/2024] [Indexed: 11/28/2024] Open
Abstract
Background/Objectives: Metabolic and bariatric surgery (MBS) is known to reduce cancer risk. However, the association between specific bariatric procedures and cancer incidence is not well-studied. This study examined the association between four different MBS procedures and cancer incidence. Methods: Bariatric surgery registry data were linked with statewide cancer registry data from 1979 to 2018. The study included 27,092 adult subjects (aged ≥ 18 years old at surgery) who underwent MBS (BMI ≥ 30 kg/m2 at surgery) from 1979 to 2017. Cancer records were linked to MBS patient records, resulting in 1547 cancer cases. Cox proportional hazards regression was used to examine the association between MBS procedure types and cancer incidence. Results: Of all patients, 75% underwent Roux-en-Y gastric bypass (RYGB), 9% adjustable gastric banding (AGB), 10% sleeve gastrectomy (SG), and 6% duodenal switch (BPD-DS). The overall cancer incidence during the follow-up period was 6.4% for RYGB, 4.6% for AGB, 1.6% for SG, and 5.9% for BPD-DS. The mean follow-up duration from surgery to cancer incidence or censoring was 167 months (standard deviation = 121 months). Compared to RYGB, patients who underwent AGB (Hazard Ratio [HR] = 1.26, p = 0.03) and BPD-DS (HR = 1.91, p < 0.01) had a significantly higher hazard of developing cancer, while SG (HR = 1.17, p = 0.33) showed no significant difference. Conclusions: These findings suggest that AGB and BPD-DS may be associated with higher cancer risks compared to RYGB. Additional large population studies are needed to better understand the long-term cancer risks and mechanisms associated with different MBS types.
Collapse
Affiliation(s)
- Jaewhan Kim
- Department of Physical Therapy, University of Utah, Salt Lake City, UT 84108, USA;
| | - Kenechukwu C. Ben-Umeh
- Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, UT 84112, USA;
| | - Joshua Kelley
- Department of Physical Therapy, University of Utah, Salt Lake City, UT 84108, USA;
| | - Lance E. Davidson
- Department of Exercise Sciences, Brigham Young University, Provo, UT 84602, USA;
| | - Mia Hashibe
- Division of Public Health, University of Utah, Salt Lake City, UT 84108, USA;
| | - Ken Smith
- Department of Family Studies & Population Science, University of Utah, Salt Lake City, UT 84112, USA;
| | | | - Ted Adams
- Division of Epidemiology, University of Utah, Salt Lake City, UT 84108, USA;
| |
Collapse
|
4
|
Yiallourou A, Pantavou K, Markozannes G, Pilavas A, Georgiou A, Hadjikou A, Economou M, Christodoulou N, Letsos K, Khattab E, Kossyva C, Constantinou M, Theodoridou M, Piovani D, Tsilidis KΚ, Bonovas S, Nikolopoulos GK. Non-genetic factors and breast cancer: an umbrella review of meta-analyses. BMC Cancer 2024; 24:903. [PMID: 39061008 PMCID: PMC11282738 DOI: 10.1186/s12885-024-12641-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Previous research has found associations between various non-genetic factors and breast cancer (BrCa) risk. This study summarises and appraises the credibility of the available evidence on the association between non-genetic factors and BrCa risk. METHODS We conducted an umbrella review of meta-analyses. Medline, Scopus, and the Cochrane databases were systematically searched for meta-analyses examining non-genetic factors and BrCa incidence or mortality. The strength of the evidence was graded in four categories (i.e., weak, suggestive, highly suggestive, convincing). RESULTS A total of 781 meta-analyses from 280 publications were evaluated and graded. We included exposures related to anthropometric measurements, biomarkers, breast characteristics and diseases, diet and supplements, environment, exogenous hormones, lifestyle and social factors, medical history, medication, reproductive history, and pregnancy. The largest number of examined associations was found for the category of diet and supplements and for exposures such as aspirin use and active smoking. The statistically significant (P-value < 0.05) meta-analyses were 382 (49%), of which 204 (53.4%) reported factors associated with increased BrCa risk. Most of the statistically significant evidence (n = 224, 58.6%) was graded as weak. Convincing harmful associations with heightened BrCa risk were found for increased body mass index (BMI), BMI and weight gain in postmenopausal women, oral contraceptive use in premenopausal women, increased androstenedione, estradiol, estrone, and testosterone concentrations, high Breast Imaging Reporting and Data System (BIRADS) classification, and increased breast density. Convincing protective factors associated with lower BrCa risk included high fiber intake and high sex hormone binding globulin (SHBG) levels while highly suggestive protective factors included high 25 hydroxy vitamin D [25(OH)D] levels, adherence to healthy lifestyle, and moderate-vigorous physical activity. CONCLUSIONS Our findings suggest some highly modifiable factors that protect from BrCa. Interestingly, while diet was the most studied exposure category, the related associations failed to reach higher levels of evidence, indicating the methodological limitations in the field. To improve the validity of these associations, future research should utilise more robust study designs and better exposure assessment techniques. Overall, our study provides knowledge that supports the development of evidence-based BrCa prevention recommendations and guidance, both at an individual level and for public health initiatives. TRIAL REGISTRATION PROSPERO CRD42022370675.
Collapse
Affiliation(s)
- Anneza Yiallourou
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | - Katerina Pantavou
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | - Georgios Markozannes
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, SW7 2AZ, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, 45110, Greece
| | - Antonis Pilavas
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | - Andrea Georgiou
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | - Andria Hadjikou
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | - Mary Economou
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | | | | | - Elina Khattab
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | | | - Maria Constantinou
- Medical School, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
| | | | - Daniele Piovani
- Department of Biomedical Sciences, Humanitas University, Milan, 20072, Italy
- IRCCS Humanitas Research Hospital, Milan, 20089, Italy
| | - Konstantinos Κ Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, SW7 2AZ, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, 45110, Greece
| | - Stefanos Bonovas
- Department of Biomedical Sciences, Humanitas University, Milan, 20072, Italy
- IRCCS Humanitas Research Hospital, Milan, 20089, Italy
| | | |
Collapse
|
5
|
Yang J, Guo P, Zhang Z, Lu C, Qiao Z. The impact of gender on survival outcomes in patients with small intestinal stromal tumors: a comprehensive analysis using the SEER database. Surg Endosc 2024; 38:3905-3916. [PMID: 38831215 DOI: 10.1007/s00464-024-10942-4] [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: 12/31/2023] [Accepted: 05/19/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Small intestinal stromal tumors (SISTs) are a rare type of mesenchymal tumor. Gender is known to influence the incidence and prognosis of various tumors, but its role on the survival of SISTs at the population level remains unclear. Therefore, we aim to explore the relationship between gender and the prognosis of SISTs using the Surveillance, Epidemiology, and End Results (SEER) database. METHODS Data on SISTs patients from 2000 to 2019 were derived from the SEER database. Multiple imputation was used to address missing data. Kaplan-Meier analyses and Cox proportional hazard models were applied to evaluate the impact of demographic and clinical characteristics on overall survival (OS) and cancer-specific survival (CSS). RESULTS A total of 3513 patients with SISTs were analyzed, including 1921 males and 1592 females. Kaplan-Meier analysis coupled with log-rank testing demonstrated a significantly higher mortality rate among male patients compared to females (P < 0.001). Notably, female patients exhibited superior OS (hazard ratio [HR] 0.808, 95% confidence interval [CI] 0.724-0.902, P < 0.001) and CSS (HR 0.801, 95% CI 0.692-0.927, P = 0.003) compared to male patients. While the mean 1-year CSS rates were comparable between genders (95.3% for males vs. 96.0% for females, P = 0.332), male patients consistently showed lower mean survival rates at 3-, 5-, and 10-year intervals. Surgical intervention significantly boosted 5-year OS and CSS rates in both male and female patients (P < 0.001). Multivariate Cox regression analysis identified age, sex, grade, TNM stage, surgery, and mitotic rate as independent risk factors for OS and CSS in patients with SISTs. CONCLUSIONS Our findings suggest that male patients with SISTs have a higher risk of mortality compared to female patients, indicating that gender may serve as a predictive indicator for survival in this patient population.
Collapse
Affiliation(s)
- Jun Yang
- Department of Gastroenterology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China
| | - Ping Guo
- Department of Internal Medicine, Dianshan Lake People's Hospital, Suzhou, China
| | - Zhi Zhang
- Department of General Surgery, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China
| | - Chengjie Lu
- Department of Traditional Chinese Medicine, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China
| | - Zhenguo Qiao
- Department of Gastroenterology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China.
| |
Collapse
|
6
|
Drummond AE, Swain CTV, Brown KA, Dixon-Suen SC, Boing L, van Roekel EH, Moore MM, Gaunt TR, Milne RL, English DR, Martin RM, Lewis SJ, Lynch BM. Linking Physical Activity to Breast Cancer via Sex Steroid Hormones, Part 2: The Effect of Sex Steroid Hormones on Breast Cancer Risk. Cancer Epidemiol Biomarkers Prev 2022; 31:28-37. [PMID: 34670801 PMCID: PMC7612577 DOI: 10.1158/1055-9965.epi-21-0438] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/10/2021] [Accepted: 10/07/2021] [Indexed: 11/25/2022] Open
Abstract
We undertook a systematic review and appraised the evidence for an effect of circulating sex steroid hormones and sex hormone-binding globulin (SHBG) on breast cancer risk in pre- and postmenopausal women. Systematic searches identified prospective studies relevant to this review. Meta-analyses estimated breast cancer risk for women with the highest compared with the lowest level of sex hormones, and the DRMETA Stata package was used to graphically represent the shape of these associations. The ROBINS-E tool assessed risk of bias, and the GRADE system appraised the strength of evidence. In premenopausal women, there was little evidence that estrogens, progesterone, or SHBG were associated with breast cancer risk, whereas androgens showed a positive association. In postmenopausal women, higher estrogens and androgens were associated with an increase in breast cancer risk, whereas higher SHBG was inversely associated with risk. The strength of the evidence quality ranged from low to high for each hormone. Dose-response relationships between sex steroid hormone concentrations and breast cancer risk were most notable for postmenopausal women. These data support the plausibility of a role for sex steroid hormones in mediating the causal relationship between physical activity and the risk of breast cancer.See related reviews by Lynch et al., p. 11 and Swain et al., p. 16.
Collapse
Affiliation(s)
- Ann E Drummond
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
| | | | - Kristy A Brown
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Suzanne C Dixon-Suen
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Leonessa Boing
- Laboratory of Research in Leisure and Physical Activity, Santa Catarina State University, Florianópolis, Brazil
| | - Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Melissa M Moore
- Medical Oncology, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Tom R Gaunt
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Richard M Martin
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Sarah J Lewis
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
7
|
Hausmann LD, de Almeida BS, de Souza IR, Drehmer MN, Fernandes BL, Wilkens RS, Vieira DSC, Lofgren SE, Lindenau JDR, de Toledo E Silva G, Muniz YCN. Association of TNFRSF1A and IFNLR1 Gene Polymorphisms with the Risk of Developing Breast Cancer and Clinical Pathologic Features. Biochem Genet 2021; 59:1233-1246. [PMID: 33751344 DOI: 10.1007/s10528-021-10060-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 03/10/2021] [Indexed: 12/27/2022]
Abstract
Several genes have been associated with breast cancer (BC) susceptibility. The tumor necrosis factor receptor superfamily, member 1A (TNFRSF1A), and interferon lambda receptor 1 (IFNLR1) genes encode receptors that mediate the action of inflammatory cytokines. Previous studies have demonstrated the association of the variants rs1800693 (TNFRSF1A) and rs4649203 (IFNLR1) with some inflammatory diseases. The present study aimed to verify a possible association of these variants with BC, its clinical pathologic features, as well as epidemiological data in a Brazilian population. A total of 243 patients and 294 individuals without history of BC were genotyped for these polymorphisms through TaqMan® SNP genotyping assays by qPCR. For the TNFRSF1A gene, no significant results were found. For IFNLR1, the AA genotype (p = 0.008) and the A allele (p = 0.02) were significantly associated with a lower risk of developing BC. When analyzing the age, it was observed that each increase of one year contributes to the development of BC (p < 0.001). Also, the smoking habit (p < 0.001) and body mass index (p = 0.018) increase the risk of disease development. Analyzing progesterone receptor factor an association was found with the AA genotype of the IFNLR1 (p = 0.02). The findings suggest that polymorphism in the immune-related IFNLR1 gene contribute to BC susceptibility in a Brazilian population. These findings can contribute to the further understanding of the role this gene and pathways in BC development.
Collapse
Affiliation(s)
- Leili Daiane Hausmann
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil.
| | - Bibiana Sgorla de Almeida
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| | - Ilíada Rainha de Souza
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| | - Manuela Nunes Drehmer
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| | - Braulio Leal Fernandes
- Polydoro Ernani de São, Thiago University Hospital (HU/UFSC), Florianópolis, 88036-800, Brazil
| | - Renato Salerno Wilkens
- Polydoro Ernani de São, Thiago University Hospital (HU/UFSC), Florianópolis, 88036-800, Brazil
| | | | - Sara Emelie Lofgren
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| | - Juliana Dal-Ri Lindenau
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| | - Guilherme de Toledo E Silva
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| | - Yara Costa Netto Muniz
- Department of Cell Biology, Embryology and Genetics (BEG), School of Biological Sciences (CCB), Universidade Federal de Santa Catarina (UFSC), Florianópolis, 88040-900, Brazil
| |
Collapse
|
8
|
von Vaupel‐Klein AM, Walsh RJ. Considerations in genetic counseling of transgender patients: Cultural competencies and altered disease risk profiles. J Genet Couns 2021; 30:98-109. [PMID: 33368789 PMCID: PMC7898523 DOI: 10.1002/jgc4.1372] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/24/2020] [Accepted: 11/27/2020] [Indexed: 12/29/2022]
Abstract
Transgender people are a growing population with specific healthcare needs, barriers to care, and disease risk factors. Cultural competencies for working with transgender people in healthcare settings are essential to reduce barriers to care and combat the associated health disparities. Genetic counselors support their patients to understand and manage medically and personally complex life events and decisions. A genetic counselor caring for a transgender patient or a patient with a transgender relative will therefore require specific cultural competencies and medical knowledge that may not have been covered in their training. Transgender health is also a relatively young field in which new insights may quickly become fundamental. The present paper therefore provides an overview of current best practices for culturally sensitive working with transgender patients, and an introduction to the additional considerations for assessment of disease risk in transgender people. Guidance on how to ensure communication with patients and other stakeholders is inclusive and affirming of transgender identities, is offered. Medical interventions used for gender transitions are described, and their (potential) effects on cancer and cardiovascular disease risk are discussed. Furthermore, the effects of sociocultural risk factors such as minority stress are outlined. In sum, we invite the reader to consider the specific biological, psychological, and social context of the consultation. Finally, we explore culturally competent approaches to pedigree charting and physical examinations with transgender people and provide recommendations for practice.
Collapse
Affiliation(s)
| | - Reubs J. Walsh
- Department of Clinical, Neuro‐ and Developmental PsychologyFaculty of Behavioural and Movement SciencesVrije Universiteit AmsterdamAmsterdamNetherlands
- Gender Identity Research and Education Society (GIRES)AshteadUK
| |
Collapse
|
9
|
Luo Y, Li HB, Zhang Y, Wu YX, Shen D, Che YQ. Combination of Endogenous Estradiol and Adipokine Leptin in Breast Cancer Risk and Prognosis Assessment in Postmenopausal Chinese Women. Front Endocrinol (Lausanne) 2021; 12:766463. [PMID: 34970222 PMCID: PMC8712642 DOI: 10.3389/fendo.2021.766463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 11/05/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Our study aims to clarify the role of estradiol and leptin in breast cancer risk and prognostic assessment in postmenopausal Chinese women. DESIGN The serum circulating estradiol and leptin level was detected by ELISA. Then the correlation between estradiol, leptin level, and clinical characteristics was analyzed using Fisher's exact test. Next, the Kaplan-Meier model was used to analyze the association between estradiol, leptin, and prognosis of postmenopausal breast cancer patients in our cohort and the TCGA dataset. SETTING The study was conducted at the National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College. PATIENTS A total of 182 postmenopausal breast cancer patients and 111 healthy subjects from January 2010 to August 2010 were included in the analysis. Another 702 cases with breast cancer were retrieved from The Cancer Genome Atlas (TCGA) database for subsequent analysis. MAIN OUTCOME MEASURE Serum circulating estradiol and leptin level. RESULTS The level of estradiol was significantly higher (P<0.001) but the level of leptin had no significant difference (P = 0.764) in postmenopausal breast cancer patients compared with healthy subjects. The level of estradiol and leptin was not significantly different between estrogen receptor (ER) positive and ER-negative groups (P>0.05). Estradiol was significantly correlated with tumor T stage (P = 0.002) and leptin was significantly associated with perineural invasion (P = 0.014). In addition, the disease-free survival of patients with a high level of estradiol was significantly shorter (P = 0.025) but leptin tended to be a protective factor for overall survival in TCGA analysis (P = 0.038). CONCLUSION Circulating estradiol and leptin played important roles in the risk of postmenopausal breast cancer even in low-estrogen nations with an independent expression of ER status. High circulating estradiol was a poor prognostic factor and leptin may be a protection signal in Chinese postmenopausal patients with breast cancer.
Collapse
Affiliation(s)
- Yang Luo
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Han-Bing Li
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yue Zhang
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu-Xin Wu
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Di Shen
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi-Qun Che
- Center for Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- *Correspondence: Yi-Qun Che,
| |
Collapse
|
10
|
The Survival Advantage of Females at Premenopausal Age Is Race Dependent in Colorectal Cancer. BIOMED RESEARCH INTERNATIONAL 2020; 2020:7434783. [PMID: 33457414 PMCID: PMC7787739 DOI: 10.1155/2020/7434783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 11/25/2020] [Accepted: 12/17/2020] [Indexed: 02/08/2023]
Abstract
Background A female prognostic advantage in younger individuals has been demonstrated in various cancers. Several large-scale analyses based on different racial backgrounds have reported inconsistent results in colorectal cancer. The aim of the present study was to evaluate the prognostic value of sex and age in patients with colorectal cancer of different ethnic groups. Methods We identified 71,812 eligible patients from the Surveillance, Epidemiology and End Results database. According to age at diagnosis, the patients were categorized into premenopausal age (≤45 yrs), menopausal age (46–54 yrs), and postmenopausal age (≥55 yrs) subgroups for further analysis. Results Multivariate analysis identified the female survival advantage to be significant in the premenopausal age subgroup (P = 0.002, HR (95% CI): 0.73 (0.60–0.89)), diminished in the menopausal age subgroup (P = 0.09), and absent in the postmenopausal age subgroup (P = 0.96). Furthermore, the female survival advantage at premenopausal age was significant only in white patients (P = 0.001, HR (95% CI): 0.68 (0.54–0.87)) and not in either American Indian/Alaska Native or Asian or Pacific Islander patients. There was a trend of better survival of females in black patients (P = 0.07). Conclusions Sex was a major prognostic factor in colorectal cancer patients, especially premenopausal women, and the difference was also associated with race.
Collapse
|
11
|
Mugada V, Kolakota RK, Jadda SB, Kotapadu U, Veesam M. Does hormone replacement therapy benefit post-menopausal women? – a scoping review. MEDICAL SCIENCE PULSE 2019. [DOI: 10.5604/01.3001.0013.1367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Post-menopausal women experience symptoms such as irregular periods, lower fertility, vaginal dryness, hot flashes and night sweats. Hormone replacement therapy (HRT) relieves menopausal symptoms. The aim of this review was to assess the benefits and risks of HRT in post-menopausal women. A scoping review was conducted for original peer-reviewed English language papers using the electronic databases of PUBMED, JAMA, BMC and TRIP. The papers were subjected to a three-stage screening process. The type of study, year of study, age, participants, type of therapy and the aim of the study defined the inclusion and exclusion criteria. HRT was associated with reduced risk and prevalence of end-stage kidney disease, gastric esophageal reflex disease (GORD) symptoms, periodontal disease and associated with the increased risk of overall cancers. The benefits of HRT depend on the duration of therapy, formulation, route of administration, time of initiating therapy (age <60 years) and type of therapy. Post-menopausal symptomatic women mostly benefited with hormone replacement therapy. To reduce risks of adverse events, HRT should be initiated with appropriate monitoring.
Collapse
Affiliation(s)
- Vinodkumar Mugada
- Department of Pharmacy Practice, Vignan Institute of Pharmaceutical Technology, Duvvada, AP, India
| | - Raj Kiran Kolakota
- Department of Pharmacy Practice, Vignan Institute of Pharmaceutical Technology, Duvvada, AP, India
| | - Sujana Bhargavi Jadda
- Department of Pharmacy Practice, Vignan Institute of Pharmaceutical Technology, Duvvada, AP, India
| | - Urmila Kotapadu
- Department of Pharmacy Practice, Vignan Institute of Pharmaceutical Technology, Duvvada, AP, India
| | - Mounika Veesam
- Department of Pharmacy Practice, Vignan Institute of Pharmaceutical Technology, Duvvada, AP, India
| |
Collapse
|
12
|
Iyengar NM, Arthur R, Manson JE, Chlebowski RT, Kroenke CH, Peterson L, Cheng TYD, Feliciano EC, Lane D, Luo J, Nassir R, Pan K, Wassertheil-Smoller S, Kamensky V, Rohan TE, Dannenberg AJ. Association of Body Fat and Risk of Breast Cancer in Postmenopausal Women With Normal Body Mass Index: A Secondary Analysis of a Randomized Clinical Trial and Observational Study. JAMA Oncol 2019; 5:155-163. [PMID: 30520976 PMCID: PMC6439554 DOI: 10.1001/jamaoncol.2018.5327] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 08/30/2018] [Indexed: 01/06/2023]
Abstract
Importance Obesity is associated with an increased risk of breast cancer, including the estrogen receptor (ER)-positive subtype in postmenopausal women. Whether excess adiposity is associated with increased risk in women with a normal body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) is unknown. Objective To investigate the association between body fat and breast cancer risk in women with normal BMI. Design, Setting, and Participants This ad hoc secondary analysis of the Women's Health Initiative (WHI) clinical trial and observational study cohorts was restricted to postmenopausal participants with a BMI ranging from 18.5 to 24.9. Women aged 50 to 79 years were enrolled from October 1, 1993, through December 31, 1998. Of these, 3460 participants underwent body fat measurement with dual-energy x-ray absorptiometry (DXA) at 3 US designated centers with follow-up. At a median follow-up of 16 years (range, 9-20 years), 182 incident breast cancers had been ascertained, and 146 were ER positive. Follow-up was complete on September 30, 2016, and data from October 1, 1993, through September 30, 2016, was analyzed August 2, 2017, through August 21, 2018. Main Outcomes and Measures Body fat levels were measured at baseline and years 1, 3, 6, and 9 using DXA. Information on demographic data, medical history, and lifestyle factors was collected at baseline. Invasive breast cancers were confirmed via central review of medical records by physician adjudicators. Blood analyte levels were measured in subsets of participants. Results Among the 3460 women included in the analysis (mean [SD] age, 63.6 [7.6] years), multivariable-adjusted hazard ratios for the risk of invasive breast cancer were 1.89 (95% CI, 1.21-2.95) for the highest quartile of whole-body fat and 1.88 (95% CI, 1.18-2.98) for the highest quartile of trunk fat mass. The corresponding adjusted hazard ratios for ER-positive breast cancer were 2.21 (95% CI, 1.23-3.67) and 1.98 (95% CI, 1.18-3.31), respectively. Similar positive associations were observed for serial DXA measurements in time-dependent covariate analyses. Circulating levels of insulin, C-reactive protein, interleukin 6, leptin, and triglycerides were higher, whereas levels of high-density lipoprotein cholesterol and sex hormone-binding globulin were lower in those in the uppermost vs lowest quartiles of trunk fat mass. Conclusions and Relevance In postmenopausal women with normal BMI, relatively high body fat levels were associated with an elevated risk of invasive breast cancer and altered levels of circulating metabolic and inflammatory factors. Normal BMI categorization may be an inadequate proxy for the risk of breast cancer in postmenopausal women. Trial Registration ClinicalTrials.gov identifier: NCT00000611.
Collapse
Affiliation(s)
- Neil M. Iyengar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Rhonda Arthur
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - JoAnn E. Manson
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Rowan T. Chlebowski
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
| | | | - Lindsay Peterson
- Department of Medicine, Washington University in Saint Louis, St Louis, Missouri
| | | | | | - Dorothy Lane
- Department of Family, Population and Preventive Medicine, Stony Brook University School of Medicine, Stony Brook, New York
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, Indiana University, Indianapolis
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California, Davis
| | - Kathy Pan
- Los Angeles Biomedical Research Institute at Harbor-UCLA (University of California, Los Angeles) Medical Center, Los Angeles
| | | | - Victor Kamensky
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Thomas E. Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | | |
Collapse
|
13
|
Temkin SM, Mallen A, Bellavance E, Rubinsak L, Wenham RM. The role of menopausal hormone therapy in women with or at risk of ovarian and breast cancers: Misconceptions and current directions. Cancer 2018; 125:499-514. [PMID: 30570740 DOI: 10.1002/cncr.31911] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 11/01/2018] [Accepted: 11/05/2018] [Indexed: 12/17/2022]
Abstract
For women who are candidates for menopausal hormone therapy (MHT), estrogen can provide relief from symptomatic menopause, decrease rates of chronic illnesses, and improve health-related quality of life. However, confusion surrounds the evidence regarding the impact of exogenous estrogen and progesterone on the breast and ovary. Available data regarding the risks of MHT (estrogen and/or progestin) related to the development of breast and ovarian cancer are often inconsistent or incomplete. Modern molecular and genetic techniques have improved our understanding of the heterogeneity of breast and ovarian cancer. This enhanced understanding of the disease has impacted our understanding of carcinogenesis. Treatment options have evolved to be more targeted toward hormonal therapy for certain subtypes of disease, whereas cytotoxic chemotherapy remains the standard for other histological and molecular subtypes. The role of MHT in the breast and ovarian cancer survivor, as well as women who are at high risk for the development of hereditary breast and ovarian cancer, remains controversial despite evidence that this treatment can improve quality of life and survival outcomes. Through this article, we examine the evidence for and against the use of MHT with a focus on women who have or are at high risk for breast and ovarian cancer.
Collapse
Affiliation(s)
- Sarah M Temkin
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University, Richmond, Virginia
| | - Adrianne Mallen
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Emily Bellavance
- Department of Surgery, Division of General and Oncologic Surgery, University of Maryland, Baltimore, Maryland
| | - Lisa Rubinsak
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University, Richmond, Virginia
| | - Robert M Wenham
- Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, Florida
| |
Collapse
|
14
|
Gao G, Li S, Li S, Zhao L, Wang T, Hou X. Development and application of vortex-assisted membrane extraction based on metal–organic framework mixed-matrix membrane for the analysis of estrogens in human urine. Anal Chim Acta 2018; 1023:35-43. [DOI: 10.1016/j.aca.2018.04.013] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 04/10/2018] [Accepted: 04/14/2018] [Indexed: 02/01/2023]
|
15
|
In-tube solid-phase microextraction based on NH 2 -MIL-53(Al)-polymer monolithic column for online coupling with high-performance liquid chromatography for directly sensitive analysis of estrogens in human urine. Talanta 2017; 165:377-383. [DOI: 10.1016/j.talanta.2016.12.050] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 12/16/2016] [Accepted: 12/20/2016] [Indexed: 11/30/2022]
|
16
|
Glück S. Consequences of the Convergence of Multiple Alternate Pathways on the Estrogen Receptor in the Treatment of Metastatic Breast Cancer. Clin Breast Cancer 2017; 17:79-90. [DOI: 10.1016/j.clbc.2016.08.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 08/01/2016] [Accepted: 08/14/2016] [Indexed: 02/07/2023]
|
17
|
Braun H, Nash R, Tangpricha V, Brockman J, Ward K, Goodman M. Cancer in Transgender People: Evidence and Methodological Considerations. Epidemiol Rev 2017; 39:93-107. [PMID: 28486701 PMCID: PMC5868281 DOI: 10.1093/epirev/mxw003] [Citation(s) in RCA: 137] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Revised: 12/22/2016] [Accepted: 12/27/2016] [Indexed: 12/13/2022] Open
Abstract
Transgender people comprise a diverse group of individuals whose gender identity or expression differs from that originally assigned to them at birth. Some, but not all, transgender people elect to undergo medical gender affirmation, which may include therapy with cross-sex hormones and/or surgical change of the genitalia and other sex characteristics. As cross-sex hormones administered for the purposes of gender affirmation may be delivered at high doses and over a period of decades, the carcinogenicity of hormonal therapy in transgender people is an area of considerable concern. In addition, concerns about cancer risk in transgender patients have been linked to sexually transmitted infections, increased exposure to well-known risk factors such as smoking and alcohol use, and the lack of adequate access to screening. Several publications have identified cancer as an important priority in transgender health research and called for large-scale studies. The goals of this article are to summarize the evidence on factors that may differentially affect cancer risk in transgender people, assess the relevant cancer surveillance and epidemiologic data available to date, and offer an overview of possible methodological considerations for future studies investigating cancer incidence and mortality in this population.
Collapse
Affiliation(s)
- Hayley Braun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Rebecca Nash
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Vin Tangpricha
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia
- Atlanta VA Medical Center, Decatur, Georgia
| | - Janice Brockman
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Kevin Ward
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Center for Cancer Statistics, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Michael Goodman
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Center for Cancer Statistics, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Winship Cancer Institute, Emory University, Atlanta, Georgia
| |
Collapse
|
18
|
Rezvanpour A, Don-Wauchope AC. Clinical implications of estrone sulfate measurement in laboratory medicine. Crit Rev Clin Lab Sci 2016; 54:73-86. [DOI: 10.1080/10408363.2016.1252310] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Atoosa Rezvanpour
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario,Canada and
| | - Andrew C. Don-Wauchope
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario,Canada and
- Hamilton Regional Laboratory Medicine Program, Hamilton, Ontario, Canada
| |
Collapse
|
19
|
Šestak I, Cuzick J. Endometrial cancer risk in postmenopausal breast cancer patients treated with tamoxifen or aromatase inhibitors. Expert Rev Endocrinol Metab 2016; 11:425-432. [PMID: 30058908 DOI: 10.1080/17446651.2016.1216101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION The gynaecological toxicity profile of tamoxifen presents a significant burden to the patients and oncologist as tamoxifen-related side effects result in additional investigations, procedures and referrals. Aromatase inhibitor have been shown to result in significant reduction in gynaecological problems, possibly including endometrial cancer. Areas covered: We reviewed the main breast cancer trials, observation or cohort studies investigating tamoxifen or an aromatase inhibitor to report on endometrial adverse events and cancer. Expert commentary: Evidence for an increase in endometrial cancers with tamoxifen in breast cancer treated patients is now very clear. Aromatase inhibitors have shown to have a beneficial effect on the endometrium. There is an important need for further studies to clearly determine the influence of aromatase inhibitors on the endometrial in tamoxifen-naïve women. The effect of aromatase inhibitors on gynaecological problems may have potentially a very important impact in clinical practice.
Collapse
Affiliation(s)
- Ivana Šestak
- a Centre for Cancer Pevention , Queen Mary University of London , London , United Kingdom of Great Britain and Northern Ireland
| | - Jack Cuzick
- a Centre for Cancer Pevention , Queen Mary University of London , London , United Kingdom of Great Britain and Northern Ireland
| |
Collapse
|
20
|
Petchsak P, Sripanidkulchai B. Momordica cochinchinensis Aril Extract Induced Apoptosis in Human MCF-7 Breast Cancer Cells. Asian Pac J Cancer Prev 2015. [DOI: 10.7314/apjcp.2015.16.13.5507] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
|
21
|
Lee JS, Kim YK, Yang H, Kang HY, Ahn C, Jeung EB. Two faces of the estrogen metabolite 2-methoxyestradiol in vitro and in vivo. Mol Med Rep 2015; 12:5375-82. [PMID: 26165333 DOI: 10.3892/mmr.2015.4073] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Accepted: 05/21/2015] [Indexed: 11/05/2022] Open
Abstract
2-Methoxyestradiol (2-ME), an endogenous metabolite of 17β-estradiol (E2), interacts with estrogen receptors (ERs) and microtubules, however, 2-ME has a low affinity for ERs. Furthermore, 2‑ME has been identified as a potential novel antitumor agent, combining its anti‑proliferative effects on a variety of tumor cell types with its anti‑angiogenic action. Therefore, 2‑ME is of interest due to its potential anticancer therapeutic effects. In the current study, the estrogenic effect of 2‑ME on CaBP‑9k, ERα, and progesterone receptor (PR) mRNA levels in the absence and presence of E2 and progesterone (P4) in in vivo and in vitro models was examined. In GH3 cells, the mRNA level of CaBP‑9k was induced in the E2 treatment group (concentration, 10‑9 M), and the expression of CaBP‑9k was also upregulated in the 2‑ME‑treated group (concentration, 10‑7 M). Uterine lactoferrin (Ltf) mRNA expression was also increased in the 2‑ME group [dose, 40 mg/kg body weight (BW)], which was comparable to the response with E2 (dose, 40 µg/kg BW) observed in mice. As inhibitors of ER and PR activity, ICI 182,780 and mifepristone (RU486) were observed to reverse the E2 or 2‑ME mediated increase of CaBP‑9k and Ltf mRNA expression. In addition, it was found that 2‑ME significantly decreased the levels of ERα and increased PR transcripts. Consistent with the in vitro results, the mRNA levels revealed decreased ERα and increased PR in in vivo treatment of E2 and 2‑ME. These findings demonstrate that the expression of estrogenic markers, CaBP‑9k and Ltf, is regulated by 2‑ME in in vitro and in vivo models, therefore, estrogenic activi-ties of 2-ME may be increased in females during the estrous cycle via the ER and/or PR-mediated signaling pathway.
Collapse
Affiliation(s)
- Ji-Sun Lee
- Laboratory of Veterinary Biochemistry and Molecular Biology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk 362‑763, Republic of Korea
| | - Yu-Kyung Kim
- Laboratory of Veterinary Biochemistry and Molecular Biology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk 362‑763, Republic of Korea
| | - Hyun Yang
- Laboratory of Veterinary Biochemistry and Molecular Biology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk 362‑763, Republic of Korea
| | - Hee Young Kang
- Laboratory of Veterinary Biochemistry and Molecular Biology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk 362‑763, Republic of Korea
| | - Changhwan Ahn
- Laboratory of Veterinary Biochemistry and Molecular Biology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk 362‑763, Republic of Korea
| | - Eui-Bae Jeung
- Laboratory of Veterinary Biochemistry and Molecular Biology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk 362‑763, Republic of Korea
| |
Collapse
|
22
|
Skarping I, Brand JS, Hall P, Borgquist S. Effects of statin use on volumetric mammographic density: results from the KARMA study. BMC Cancer 2015; 15:435. [PMID: 26016855 PMCID: PMC4446081 DOI: 10.1186/s12885-015-1457-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 05/21/2015] [Indexed: 01/14/2023] Open
Abstract
Background Epidemiological data on statins and breast cancer risk have been inconclusive. The aim of this study was to clarify the role of statins in breast cancer risk by studying their effect on mammographic density. Methods The KARolinska MAmmography project for risk prediction of breast cancer (KARMA) includes 70,877 women who underwent either a screening or clinical mammography from January 2011 to December 2013. In total, 41,102 women responded to a web-based questionnaire, and had raw digital mammograms stored. Volumetric mammographic density was measured using Volpara™ and information on statin use was obtained through linkage with the Swedish National Prescription Register. Analysis of covariance was used to study the effect of statin use on mammographic density, adjusting for a large set of potential confounders. We also studied the effects of statin class and treatment duration and tested for potential effect modification by hormone replacement therapy (HRT). Results Statin use was recorded in 3,337 women (8.1 %) of the study population and lipophilic statins was the most commonly prescribed type (93.4 % of all statin users). After multivariable adjustment, percent dense volume was lower in statin users than in non-users (P < 0.001). This association was explained by a larger absolute non-dense volume in statin users (P < 0.001). Overall, no difference in absolute dense volume was detected, but interaction analyses revealed a larger dense volume among statin users who reported ever HRT use (P = 0.03). No differential effects were observed according to statin lipophilicity and treatment duration. Conclusions We observed no overall effect of statin use on mammographic density in terms of absolute dense volume, although a larger absolute dense volume was observed in statin users who reported ever HRT use, which requires further investigation.
Collapse
Affiliation(s)
- Ida Skarping
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85, Lund, Sweden.
| | - Judith S Brand
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
| | - Signe Borgquist
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85, Lund, Sweden. .,Department of Oncology, Skåne University Hospital, Lund, Sweden.
| |
Collapse
|
23
|
Chlebowski RT, Schottinger JE, Shi J, Chung J, Haque R. Aromatase inhibitors, tamoxifen, and endometrial cancer in breast cancer survivors. Cancer 2015; 121:2147-55. [PMID: 25757699 DOI: 10.1002/cncr.29332] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2014] [Revised: 01/04/2015] [Accepted: 01/15/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND The risks of both endometrial cancer and postmenopausal breast cancer are increased by obesity and higher endogenous estrogen levels. Although aromatase inhibitors reduce breast cancer incidence, their influence on endometrial cancer is uncertain. METHODS The authors investigated this issue in a cohort of 17,064 women who were diagnosed with hormone receptor-positive breast cancer in an integrated group practice health plan. Information on demographics, comorbidities, and the receipt of adjuvant endocrine therapy was available from electronic medical records and pharmacy records, respectively. Endometrial cancer information was obtained from the health plan's Surveillance, Epidemiology, and End Results-affiliated tumor registry, and rates were compared across endocrine therapy groups (aromatase inhibitor, n = 5303; tamoxifen, n = 5155; switchers: both [n = 3787] or none [n = 2819]) using multivariable adjusted Cox proportional-hazards models. RESULTS Endometrial cancer incidence was a statistically significant 48% lower in the aromatase inhibitor group versus the tamoxifen group (hazard ratio, 0.52; 95% confidence interval, 0.31-0.87; P = .01). Endometrial cancer incidence was 29% lower in the aromatase inhibitor group versus the no endocrine therapy group (hazard ratio, 0.71; 95% confidence interval, 0.37-1.35; P = .30) and 33% lower in the aromatase inhibitor group versus the tamoxifen group (hazard ratio, 0.67; 95% confidence interval, 0.42-1.06; P = .08), but neither difference was statistically significant. Associations were stronger among those with good drug adherence. CONCLUSIONS In a community-based, integrated health plan setting, endometrial cancer incidence was lower in women who were receiving an aromatase inhibitor compared with those who were receiving tamoxifen. In addition, aromatase inhibitors may mitigate the incidence of tamoxifen-associated endometrial cancer. Although there were somewhat fewer endometrial cancers in the aromatase inhibitor group versus the no endocrine therapy group, further studies are needed for the definitive assessment of this potential association.
Collapse
Affiliation(s)
- Rowan T Chlebowski
- Los Angeles Biomedical Research Institute at Harbor-University of California Los Angeles, Torrance, California
| | - Joanne E Schottinger
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Jiaxiao Shi
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Joanie Chung
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Reina Haque
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| |
Collapse
|
24
|
Zhao S, Prentice RL. Covariate measurement error correction methods in mediation analysis with failure time data. Biometrics 2014; 70:835-44. [PMID: 25139469 PMCID: PMC4276494 DOI: 10.1111/biom.12205] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2013] [Revised: 04/01/2014] [Accepted: 05/01/2014] [Indexed: 11/29/2022]
Abstract
Mediation analysis is important for understanding the mechanisms whereby one variable causes changes in another. Measurement error could obscure the ability of the potential mediator to explain such changes. This article focuses on developing correction methods for measurement error in the mediator with failure time outcomes. We consider a broad definition of measurement error, including technical error, and error associated with temporal variation. The underlying model with the "true" mediator is assumed to be of the Cox proportional hazards model form. The induced hazard ratio for the observed mediator no longer has a simple form independent of the baseline hazard function, due to the conditioning event. We propose a mean-variance regression calibration approach and a follow-up time regression calibration approach, to approximate the partial likelihood for the induced hazard function. Both methods demonstrate value in assessing mediation effects in simulation studies. These methods are generalized to multiple biomarkers and to both case-cohort and nested case-control sampling designs. We apply these correction methods to the Women's Health Initiative hormone therapy trials to understand the mediation effect of several serum sex hormone measures on the relationship between postmenopausal hormone therapy and breast cancer risk.
Collapse
Affiliation(s)
- Shanshan Zhao
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.A
| | - Ross L. Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.A
| |
Collapse
|
25
|
Munoz D, Near AM, van Ravesteyn NT, Lee SJ, Schechter CB, Alagoz O, Berry DA, Burnside ES, Chang Y, Chisholm G, de Koning HJ, Ali Ergun M, Heijnsdijk EAM, Huang H, Stout NK, Sprague BL, Trentham-Dietz A, Mandelblatt JS, Plevritis SK. Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality. J Natl Cancer Inst 2014; 106:dju289. [PMID: 25255803 DOI: 10.1093/jnci/dju289] [Citation(s) in RCA: 116] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Molecular characterization of breast cancer allows subtype-directed interventions. Estrogen receptor (ER) is the longest-established molecular marker. METHODS We used six established population models with ER-specific input parameters on age-specific incidence, disease natural history, mammography characteristics, and treatment effects to quantify the impact of screening and adjuvant therapy on age-adjusted US breast cancer mortality by ER status from 1975 to 2000. Outcomes included stage-shifts and absolute and relative reductions in mortality; sensitivity analyses evaluated the impact of varying screening frequency or accuracy. RESULTS In the year 2000, actual screening and adjuvant treatment reduced breast cancer mortality by a median of 17 per 100000 women (model range = 13-21) and 5 per 100000 women (model range = 3-6) for ER-positive and ER-negative cases, respectively, relative to no screening and no adjuvant treatment. For ER-positive cases, adjuvant treatment made a higher relative contribution to breast cancer mortality reduction than screening, whereas for ER-negative cases the relative contributions were similar for screening and adjuvant treatment. ER-negative cases were less likely to be screen-detected than ER-positive cases (35.1% vs 51.2%), but when screen-detected yielded a greater survival gain (five-year breast cancer survival = 35.6% vs 30.7%). Screening biennially would have captured a lower proportion of mortality reduction than annual screening for ER-negative vs ER-positive cases (model range = 80.2%-87.8% vs 85.7%-96.5%). CONCLUSION As advances in risk assessment facilitate identification of women with increased risk of ER-negative breast cancer, additional mortality reductions could be realized through more frequent targeted screening, provided these benefits are balanced against screening harms.
Collapse
Affiliation(s)
- Diego Munoz
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Aimee M Near
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Nicolien T van Ravesteyn
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Sandra J Lee
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Clyde B Schechter
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Oguzhan Alagoz
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Donald A Berry
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Elizabeth S Burnside
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Yaojen Chang
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Gary Chisholm
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Harry J de Koning
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Mehmet Ali Ergun
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Eveline A M Heijnsdijk
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Hui Huang
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Natasha K Stout
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Brian L Sprague
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Amy Trentham-Dietz
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Jeanne S Mandelblatt
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS)
| | - Sylvia K Plevritis
- Division of Biomedical Informatics Research (DM) and Department of Radiology (DM, SKP), School of Medicine, Stanford University, Stanford, CA (DM); Department of Oncology, Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC (AMN, YC, JSM); Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands (NTvR, HJdK, EAMH); Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School Boston, MA (SJL, HH); Departments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York (CBS); Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI (OA, MAE); Carbone Cancer Center, University of Wisconsin, Madison, WI (ESB, ATD); University of Texas M.D. Anderson Cancer Center, Houston, TX (DAB, GC); Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA (NKS); Department of Surgery, College of Medicine, University of Vermont, VT (BLS).
| |
Collapse
|
26
|
Try113His and His139Arg polymorphisms in the microsomal epoxide hydrolase gene are not associated with risk of breast cancer. Tumour Biol 2014; 35:8087-93. [PMID: 24840637 DOI: 10.1007/s13277-014-2084-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Accepted: 05/08/2014] [Indexed: 10/25/2022] Open
|
27
|
Zheng HT, Shi DB, Wang YW, Li XX, Xu Y, Tripathi P, Gu WL, Cai GX, Cai SJ. High expression of lncRNA MALAT1 suggests a biomarker of poor prognosis in colorectal cancer. Breast Cancer Res 2014; 16:R30. [PMID: 24670297 PMCID: PMC4053241 DOI: 10.1186/bcr3632] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Accepted: 03/06/2014] [Indexed: 02/08/2023] Open
Abstract
Introduction Paradoxically, a breast cancer risk reduction with conjugated equine estrogens (CEE) and a risk elevation with CEE plus medroxyprogesterone acetate (CEE + MPA) were observed in the Women’s Health Initiative (WHI) randomized controlled trials. The effects of hormone therapy on serum sex hormone levels, and on the association between baseline sex hormones and disease risk, may help explain these divergent breast cancer findings. Methods Serum sex hormone concentrations were measured for 348 breast cancer cases in the CEE + MPA trial and for 235 cases in the CEE trial along with corresponding pair-matched controls, nested within the WHI trials of healthy postmenopausal women. Association and mediation analyses, to examine the extent to which sex hormone levels and changes can explain the breast cancer findings, were conducted using logistic regression. Results Following CEE treatment, breast cancer risk was associated with higher concentrations of baseline serum estrogens, and with lower concentrations of sex hormone binding globulin. However, following CEE + MPA, there was no association of breast cancer risk with baseline sex hormone levels. The sex hormone changes from baseline to year 1 provided an explanation for much of the reduced breast cancer risk with CEE. Specifically, the treatment odds ratio (95% confidence interval) increased from 0.71 (0.43, 1.15) to 0.92 (0.41, 2.09) when the year 1 measures were included in the logistic regression analysis. In comparison, the CEE + MPA odds ratio was essentially unchanged when these year 1 measures were included. Conclusions Breast cancer risk remains low following CEE use among women having favorable baseline sex hormone profiles, but CEE + MPA evidently produces a breast cancer risk for all women similar to that for women having an unfavorable baseline sex hormone profile. These patterns could reflect breast ductal epithelial cell stimulation by CEE + MPA that is substantially avoided with CEE, in conjunction with relatively more favorable effects of either regimen following a sustained period of estrogen deprivation. These findings may have implications for other hormone therapy formulations and routes of delivery. Trial registration clinicaltrials.gov identifier:
NCT00000611.
Collapse
Affiliation(s)
- Hong-Tu Zheng
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - De-Bing Shi
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - Yu-Wei Wang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - Xin-Xiang Li
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - Ye Xu
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - Pratik Tripathi
- Shanghai Medical College, Fudan University 138 Yi Xue Yuan Road, Shanghai 200032, China
| | - Wei-Lie Gu
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - Guo-Xiang Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| | - San-Jun Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center Shanghai 200032, China ; Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China
| |
Collapse
|
28
|
Pines A. Climacteric commentaries. Climacteric 2014. [DOI: 10.3109/13697137.2014.867119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
|