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Wang W, Zhen S, Ping Y, Wang L, Zhang Y. Metabolomic biomarkers in liquid biopsy: accurate cancer diagnosis and prognosis monitoring. Front Oncol 2024; 14:1331215. [PMID: 38384814 PMCID: PMC10879439 DOI: 10.3389/fonc.2024.1331215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
Liquid biopsy, a novel detection method, has recently become an active research area in clinical cancer owing to its unique advantages. Studies on circulating free DNA, circulating tumor cells, and exosomes obtained by liquid biopsy have shown great advances and they have entered clinical practice as new cancer biomarkers. The metabolism of the body is dynamic as cancer originates and progresses. Metabolic abnormalities caused by cancer can be detected in the blood, sputum, urine, and other biological fluids via systemic or local circulation. A considerable number of recent studies have focused on the roles of metabolic molecules in cancer. The purpose of this review is to provide an overview of metabolic markers from various biological fluids in the latest clinical studies, which may contribute to cancer screening and diagnosis, differentiation of cancer typing, grading and staging, and prediction of therapeutic response and prognosis.
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Affiliation(s)
- Wenqian Wang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Shanshan Zhen
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Yu Ping
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Liping Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zhang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, Henan, China
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2
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Vrânceanu M, Galimberti D, Banc R, Dragoş O, Cozma-Petruţ A, Hegheş SC, Voştinaru O, Cuciureanu M, Stroia CM, Miere D, Filip L. The Anticancer Potential of Plant-Derived Nutraceuticals via the Modulation of Gene Expression. PLANTS 2022; 11:plants11192524. [PMID: 36235389 PMCID: PMC9571524 DOI: 10.3390/plants11192524] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 09/07/2022] [Accepted: 09/22/2022] [Indexed: 11/17/2022]
Abstract
Current studies show that approximately one-third of all cancer-related deaths are linked to diet and several cancer forms are preventable with balanced nutrition, due to dietary compounds being able to reverse epigenetic abnormalities. An appropriate diet in cancer patients can lead to changes in gene expression and enhance the efficacy of therapy. It has been demonstrated that nutraceuticals can act as powerful antioxidants at the cellular level as well as anticarcinogenic agents. This review is focused on the best studies on worldwide-available plant-derived nutraceuticals: curcumin, resveratrol, sulforaphane, indole-3-carbinol, quercetin, astaxanthin, epigallocatechin-3-gallate, and lycopene. These compounds have an enhanced effect on epigenetic changes such as histone modification via HDAC (histone deacetylase), HAT (histone acetyltransferase) inhibition, DNMT (DNA methyltransferase) inhibition, and non-coding RNA expression. All of these nutraceuticals are reported to positively modulate the epigenome, reducing cancer incidence. Furthermore, the current review addresses the issue of the low bioavailability of nutraceuticals and how to overcome the drawbacks related to their oral administration. Understanding the mechanisms by which nutraceuticals influence gene expression will allow their incorporation into an “epigenetic diet” that could be further capitalized on in the therapy of cancer.
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Affiliation(s)
- Maria Vrânceanu
- Department of Toxicology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Damiano Galimberti
- Italian Association of Anti-Ageing Physicians, Via Monte Cristallo, 1, 20159 Milan, Italy
| | - Roxana Banc
- Department of Bromatology, Hygiene, Nutrition, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
- Correspondence: (R.B.); (O.D.); Tel.: +40-744-367-958 (R.B.); +40-733-040-917 (O.D.)
| | - Ovidiu Dragoş
- Department of Kinetotheraphy and Special Motricity, “1 Decembrie 1918” University of Alba Iulia, 510009 Alba Iulia, Romania
- Correspondence: (R.B.); (O.D.); Tel.: +40-744-367-958 (R.B.); +40-733-040-917 (O.D.)
| | - Anamaria Cozma-Petruţ
- Department of Bromatology, Hygiene, Nutrition, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Simona-Codruţa Hegheş
- Department of Drug Analysis, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Oliviu Voştinaru
- Department of Pharmacology, Physiology and Physiopathology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Magdalena Cuciureanu
- Department of Pharmacology, University of Medicine and Pharmacy “Grigore T. Popa” Iasi, 16 Universităţii Street, 700115 Iași, Romania
| | - Carmina Mariana Stroia
- Department of Pharmacy, Oradea University, 1 Universităţii Street, 410087 Oradea, Romania
| | - Doina Miere
- Department of Bromatology, Hygiene, Nutrition, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Lorena Filip
- Department of Bromatology, Hygiene, Nutrition, “Iuliu Haţieganu” University of Medicine and Pharmacy, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
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3
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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: 19] [Impact Index Per Article: 9.5] [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.
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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
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Kocabas Ş, Sanlier N. A comprehensive overview of the complex relationship between epigenetics, bioactive components, cancer, and aging. Crit Rev Food Sci Nutr 2021:1-13. [PMID: 34623201 DOI: 10.1080/10408398.2021.1986803] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Among age-related diseases, the incidence of cancer increases significantly due to the overlap of some molecular pathways between cancer and aging. While the genetic influence on the human lifespan is estimated to be about 20-25%, epigenetic changes play an important role in modulating individual health status, aging. Aging and age-related conditions are processes that can be modified by both genetic, environmental factors, including dietary habits. Epigenetics is a new discipline has significant potential to be applied for the prevention, management of certain carcinomas and diseases. Epigenetic modifications may play an important role in disease occurrence and pathogenesis. Some nutritional components can be significantly effective in the prevention of breast, skin, esophagus, colorectal, prostate, pancreatic, lung cancers. It contains minerals, vitamins, and some bioactive components (curcumin, indole 3 carbinol, di-indolylmethane, sulforaphane, epigallocatechin-3-gallate, genistein, resveratrol, pterostilbene, apigenin, etc.) regulatory processes. However, compelling evidence suggests that dietary habits can manipulate the aging process and/or its consequences, have health benefits. Aging processes become complex when combined with the relational role of bioactive nutritional components on gene expression. In this review, the relationship between epigenetic processes caused by DNA methylylation, histone modification, non-coding m-RNA, and telomerase activity, the risk of aging and cancer is discussed.
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Affiliation(s)
- Şule Kocabas
- Department of Nutrition and Dietetics, School of Health Sciences, Ankara Medipol University, Altındağ, Ankara, Turkey
| | - Nevin Sanlier
- Department of Nutrition and Dietetics, School of Health Sciences, Ankara Medipol University, Altındağ, Ankara, Turkey
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5
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Bobin-Dubigeon C, Luu HT, Leuillet S, Lavergne SN, Carton T, Le Vacon F, Michel C, Nazih H, Bard JM. Faecal Microbiota Composition Varies between Patients with Breast Cancer and Healthy Women: A Comparative Case-Control Study. Nutrients 2021; 13:nu13082705. [PMID: 34444865 PMCID: PMC8399700 DOI: 10.3390/nu13082705] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/29/2021] [Accepted: 08/03/2021] [Indexed: 01/04/2023] Open
Abstract
The intestinal microbiota plays an essential role in many diseases, such as obesity, irritable bowel disease (IBD), and cancer. This study aimed to characterize the faecal microbiota from early-stage breast cancer (BC) patients and healthy controls. Faeces from newly diagnosed breast cancer patients, mainly for an invasive carcinoma of no specific type (HR+ and HER2−), before any therapeutic treatment and healthy controls were collected for metabarcoding analyses. We show that the Shannon index, used as an index of diversity, was statistically lower in the BC group compared to that of controls. This work highlights a reduction of microbial diversity, a relative enrichment in Firmicutes, as well as a depletion in Bacteroidetes in patients diagnosed with early BC compared to those of healthy women. A tendency towards a decreased relative abundance of Odoribacter sp., Butyricimonas sp., and Coprococcus sp. was observed. This preliminary study suggests that breast cancer patients may differ from healthy subjects in their intestinal bacterial composition.
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Affiliation(s)
- Christine Bobin-Dubigeon
- Institut de Cancérologie de l’Ouest, 44805 Saint-Herblain, France;
- EA 2160—IUML FR3473 CNRS, Nantes University, 44035 Nantes, France; (H.T.L.); (H.N.)
- Research Center of Human Nutrition CRNH Ouest, 44093 Nantes, France;
- Correspondence:
| | - Huyen Trang Luu
- EA 2160—IUML FR3473 CNRS, Nantes University, 44035 Nantes, France; (H.T.L.); (H.N.)
- Research Center of Human Nutrition CRNH Ouest, 44093 Nantes, France;
| | - Sébastien Leuillet
- Biofortis Mérieux NutriSciences, 3 Route de la Chatterie, 44800 Saint-Herblain, France; (S.L.); (S.N.L.); (T.C.); (F.L.V.)
| | - Sidonie N. Lavergne
- Biofortis Mérieux NutriSciences, 3 Route de la Chatterie, 44800 Saint-Herblain, France; (S.L.); (S.N.L.); (T.C.); (F.L.V.)
| | - Thomas Carton
- Biofortis Mérieux NutriSciences, 3 Route de la Chatterie, 44800 Saint-Herblain, France; (S.L.); (S.N.L.); (T.C.); (F.L.V.)
| | - Françoise Le Vacon
- Biofortis Mérieux NutriSciences, 3 Route de la Chatterie, 44800 Saint-Herblain, France; (S.L.); (S.N.L.); (T.C.); (F.L.V.)
| | - Catherine Michel
- Research Center of Human Nutrition CRNH Ouest, 44093 Nantes, France;
- UMR 1280, 44035 Nantes, France
| | - Hassane Nazih
- EA 2160—IUML FR3473 CNRS, Nantes University, 44035 Nantes, France; (H.T.L.); (H.N.)
- Research Center of Human Nutrition CRNH Ouest, 44093 Nantes, France;
| | - Jean-Marie Bard
- Institut de Cancérologie de l’Ouest, 44805 Saint-Herblain, France;
- EA 2160—IUML FR3473 CNRS, Nantes University, 44035 Nantes, France; (H.T.L.); (H.N.)
- Research Center of Human Nutrition CRNH Ouest, 44093 Nantes, France;
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6
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Divella R, Daniele A, Savino E, Paradiso A. Anticancer Effects of Nutraceuticals in the Mediterranean Diet: An Epigenetic Diet Model. Cancer Genomics Proteomics 2020; 17:335-350. [PMID: 32576579 PMCID: PMC7367609 DOI: 10.21873/cgp.20193] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 04/15/2020] [Accepted: 04/17/2020] [Indexed: 12/17/2022] Open
Abstract
Epidemiological and clinical studies support the association between nutrition and development or progression of different malignancies such as colon, breast, and prostate cancer, defining these tumors as diet-associated cancer. The Mediterranean diet shows inverse associations with metabolic diseases, cardiovascular pathologies and various types of cancer. Many bioactive nutrients of the Mediterranean diet have been identified as factors protective against these types of pathologies. The epigenome has been identified as the primary goal of modulations in gene expression related to these molecular nutrients. In fact, they can modify the epigenome and can be incorporated into the 'epigenetic diet', which translates into a diet regimen that can be used therapeutically for health or preventative purposes. Most epigenetic changes are influenced by lifestyle and nutrition. Epigenetic therapy is a new area for the development of nutraceuticals whose absence of toxicity can represent a valid asset in cancer prevention strategies. Recent advances in understanding the mechanisms of nutrigenomics, nutrigenetics and nutraceuticals have led to the identification of superfoods capable of favorably conditioning gene expression. In this review, we highlight the importance of nutraceuticals present in the Mediterranean diet as epigenetic modifiers both in the mechanisms of tumor onset and as protective agents.
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Affiliation(s)
- Rosa Divella
- Institutional BioBank, Experimental Oncology and Biobank Management Unit, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
| | - Antonella Daniele
- Institutional BioBank, Experimental Oncology and Biobank Management Unit, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
| | - Eufemia Savino
- Clinical and Pathology Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
| | - Angelo Paradiso
- Institutional BioBank, Experimental Oncology and Biobank Management Unit, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
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7
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Zhou Y, Cai Z. Determination of hormones in human urine by ultra-high-performance liquid chromatography/triple-quadrupole mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34 Suppl 1:e8583. [PMID: 31498943 DOI: 10.1002/rcm.8583] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 08/26/2019] [Accepted: 09/03/2019] [Indexed: 06/10/2023]
Abstract
Steroid hormones play a critical role in maintaining the homeostasis of human metabolism. Urine as a noninvasive sample has been extensively used in clinical diagnosis for hormones homeostasis. In this study, the simultaneous characterization of fourteen hormones in urine was performed based on ultra-high-performance liquid chromatography/electrospray ionization tandem mass spectrometry (UPHLC/ESI(+)-MS/MS) with multiple reaction monitoring in the positive ionization mode. The target hormones were cortisone, cortisol, 11-deoxycortisol, aldosterone, corticosterone, 11-deoxycorticosterone, progesterone, 17-OH-progesterone, pregnenolone, estrone, estradiol, estriol, testosterone and dehydreopiandrosterone. β-Glucuronidase/sulfatase deconjugation and liquid-liquid extraction (LLE) were conducted for the determination of urinary hormones (free + conjugated forms). The limits of detection (LODs) ranged from 0.2 ng/mL (11-deoxycortisol and testosterone) to 1 ng/mL (cortisone). The extraction recovery of the targeted compounds ranged from 87% to 127%, indicating sufficient extraction efficiency for the LLE process. Intraday precision was below 10% and the accuracy ranged from 84% to 122%. The profiling analysis of hormones in urine samples helps to understand the metabolic state of biological systems and can be employed as a diagnostic tool in diseases developed by endocrine-disrupted systems.
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Affiliation(s)
- Yanqiu Zhou
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, SAR, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, SAR, China
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Wang C, Qin N, Zhu M, Chen M, Xie K, Cheng Y, Dai J, Liu J, Xia Y, Ma H, Jin G, Amos CI, Hu Z, Lin D, Shen H. Metabolome-wide association study identified the association between a circulating polyunsaturated fatty acids variant rs174548 and lung cancer. Carcinogenesis 2017; 38:1147-1154. [PMID: 28968813 DOI: 10.1093/carcin/bgx084] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 08/09/2017] [Indexed: 12/18/2022] Open
Abstract
Quantitative trait loci (QTLs) are widely used as instruments to infer causal risk factors of diseases based on the idea of mendelian randomization. Plasma metabolites can serve as risk factors of cancer, and the heritability of many circulating metabolites was high. We conducted a metabolome-wide association study (MWAS) to systematically investigate the effects of genetic variants on metabolites and lung cancer based on published genome-wide association study (GWASs) and metabolic-QTL (mQTL) study. Then we confirmed the results by subsequent genetic and metabolic validations and inferred the causal relationship between identified metabolites and lung cancer through genetic variant(s). We firstly identified six polyunsaturated fatty acids (PUFAs) represented by rs174548-linked haplotype were significantly associated with lung cancer risk in a Chinese GWAS (2311 cases and 3077 controls). Rs174548 was further confirmed to be associated with lung cancer in 13 821 Europeans and 18 471 Asians (ORmeta = 0.87, Pmeta = 1.76 × 10-15) and the effect was much stronger in females (Pinteraction = 6.00 × 10-4). We next validated rs174548-plasma PUFA association in 253 Chinese subjects (β = -0.57, P = 1.68 × 10-3). Rs174548 was also found associated with FADS1 (the major fatty acid desaturase of identified PUFAs) expression in liver tissues. Taken together, we found that rs174548 was associated with both PUFAs and lung cancer. Because rs174548 was the only mQTL variant of PUFAs reported by previous GWASs and explained a large proportion of heritability, we proposed that plasma PUFAs could be causally associated with lung cancer based on the idea of mendelian randomization. These findings provide a diet-related risk factor and may have important implications for prevention on lung cancer.
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Affiliation(s)
- Cheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China.,Department of Bioinformatics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211116, China
| | - Na Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Meng Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Minjian Chen
- Department of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Kaipeng Xie
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Yang Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Jia Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Yankai Xia
- Department of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Hongxia Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Christopher I Amos
- Department of Community and Family Medicine, Center for Genomic Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Dongxin Lin
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211166, China
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9
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Wu H, Zhao C, Adhikari VP, Lu L, Huang J, Wei Y, Luo Q, Dai W, Wu Y, Li X, Wu K, Kong LQ. The prevalence and clinicopathological features of breast cancer patients with hepatitis B virus infection in China. Oncotarget 2017; 8:18185-18190. [PMID: 28212549 PMCID: PMC5392318 DOI: 10.18632/oncotarget.15305] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Accepted: 12/12/2016] [Indexed: 12/25/2022] Open
Abstract
We performed a case-control study to investigate the prevalence and clinicopathological features of breast cancer patients with hepatitis B virus (HBV) infection in China. The clinical data for 2,796 female patients with newly diagnosed, primary breast cancer were evaluated. A total of 234 breast cancer patients with HBV infection (the case group; positive for hepatitis B surface antigen [HBsAg]) and 444 breast cancer patients without HBV infection (the control group; negative for HBsAg, hepatitis B surface antibody, hepatitis B envelope antigen, hepatitis B envelope antibody, and hepatitis B core antibody) were selected for study. Analysis of the clinicopathological features revealed that the metastatic axillary lymph node ratio was lower in the case group than the control group, as was the proportion of patients with pathological T stage ≥T2. No differences in the expression levels of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, p53, or Ki67 were observed between the case and control groups. These data indicate that the rate of HBV infection is high among female breast cancer patients in China, and that HBsAg-positive breast cancer patients were generally diagnosed at an earlier stage and had fewer lymph node metastases.
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Affiliation(s)
- He Wu
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Chunxia Zhao
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Vishnu Prasad Adhikari
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Linjie Lu
- Department of Thyroid and Breast Surgery, Liuzhou People's Hospital, Liuzhou 545006, Guangxi, China
| | - Jianbo Huang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yuxian Wei
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Qingqing Luo
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Wei Dai
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yutuan Wu
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xin Li
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Kainan Wu
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Ling-Quan Kong
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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10
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Robles J, Marcos J, Renau N, Garrostas L, Segura J, Ventura R, Barceló B, Barceló A, Pozo OJ. Quantifying endogenous androgens, estrogens, pregnenolone and progesterone metabolites in human urine by gas chromatography tandem mass spectrometry. Talanta 2017; 169:20-29. [PMID: 28411812 DOI: 10.1016/j.talanta.2017.03.032] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 03/09/2017] [Accepted: 03/10/2017] [Indexed: 10/20/2022]
Abstract
A method for the quantitation of 22 urinary steroids (androgens, estrogens and the main pregnenolone and progesterone metabolites) by means of gas chromatography tandem mass spectrometry using a triple quadrupole analyzer has been developed. Two different enzymatic hydrolysis protocols were investigated; one capable of releasing steroids present as both sulfates and glucuronides (total fraction), and another with β-glucuronidase activity only. After selecting adequate internal standards and choosing the optimal instrumental parameters, i.e. chromatographic separation and ion transition conditions, the method was fully validated using both hydrolysis protocols. The method was shown to be linear (r >0.99) in the range of endogenous concentrations for all studied steroids with extraction recoveries higher than 80%. The use of labeled internal standards allowed for both a correct quantification and the evaluation of the rate of deconjugation for sulfates and glucuronides in every sample. In general, the sensitivity of the method was suitable for the detection of the endogenous levels, with limits of quantification ranging from 0.1 to 20ng/mL. Accuracies ranging from 80% to 120%, and relative standard deviations below 25% in intra- and inter- assay experiments were found for most of the analytes. The applicability of the validated method was tested by quantifying twenty-two metabolites in 24-h urine samples collected from healthy individuals. The ranges for the excretion of steroids in the total and glucuronide fractions obtained with the new method were compared with those available in the literature. By comparing the figures in both fractions, an estimation of the percentage that the sulfation represents for each steroid was also calculated. The presence of side enzymatic activities and the utility of the method for clinical studies as well as for doping control analysis is discussed.
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Affiliation(s)
- Juan Robles
- Servei d'Anàlisis Cliniques Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Josep Marcos
- Bioanalysis Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Nuria Renau
- Bioanalysis Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Lorena Garrostas
- Bioanalysis Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain; Doping Control Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Jordi Segura
- Bioanalysis Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003 Barcelona, Spain; Doping Control Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Rosa Ventura
- Bioanalysis Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003 Barcelona, Spain; Doping Control Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Bernardí Barceló
- Servei d'Anàlisis Cliniques Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Antonia Barceló
- Servei d'Anàlisis Cliniques Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Oscar J Pozo
- Bioanalysis Research Group, IMIM, Hospital del Mar, Doctor Aiguader 88, 08003 Barcelona, Spain; Integrative Pharmacology and Systems Neuroscience Research Group, IMIM (Hospital del Mar Research Institute), Dr. Aiguader 88, 08003 Barcelona, Spain.
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11
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Simultaneous quantitation of endogenous estrone, 17β-estradiol, and estriol in human serum by isotope-dilution liquid chromatography–tandem mass spectrometry for clinical laboratory applications. Anal Bioanal Chem 2017; 409:2627-2638. [DOI: 10.1007/s00216-017-0207-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 01/06/2017] [Accepted: 01/12/2017] [Indexed: 12/11/2022]
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12
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Gastrointestinal microbiome and breast cancer: correlations, mechanisms and potential clinical implications. Breast Cancer 2016; 24:220-228. [PMID: 27709424 DOI: 10.1007/s12282-016-0734-z] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Accepted: 09/21/2016] [Indexed: 02/05/2023]
Abstract
Gastrointestinal microbiome plays as a symbiont which provides protection effect against invading pathogens, aids in the immune system development, nutrient reclamation and absorption as well as molecule breakdown. And it may avert carcinogenesis through these biological activities. By now, studies have been carried out to elaborate the association between gastrointestinal microbiome and breast cancer. It has been implicated that breast cancer was substantially associated with estrogen-dependent and estrogen-independent functions of gastrointestinal microbiome. Evidence from animal experiments also confirmed mammary tumor-related changes in microbial community. The possible mechanisms involve estrogen metabolism, immune regulation, obese status and so forth. Based on the current evidence, cues on future management strategies of breast cancer such as antibiotics and dietary interventions are proposed. In conclusion, large-scale clinical studies and bench-based researches are needed to validate the associations and elaborate the mechanisms, so as to reduce the risk of breast cancer and improve the outcomes of those already diagnosed.
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13
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Wang Q, Mesaros C, Blair IA. Ultra-high sensitivity analysis of estrogens for special populations in serum and plasma by liquid chromatography-mass spectrometry: Assay considerations and suggested practices. J Steroid Biochem Mol Biol 2016; 162:70-9. [PMID: 26767303 PMCID: PMC4931956 DOI: 10.1016/j.jsbmb.2016.01.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 12/15/2015] [Accepted: 01/04/2016] [Indexed: 11/24/2022]
Abstract
Estrogen measurements play an important role in the clinical evaluation of many endocrine disorders as well as in research on the role of hormones in human biology and disease. It remains an analytical challenge to quantify estrogens and their metabolites in specimens from special populations including older men, children, postmenopausal women and women receiving aromatase inhibitors. Historically, immunoassays have been used for measuring estrogens and their metabolites in biological samples for risk assessment. However, the lack of specificity and accuracy of immunoassay-based methods has caused significant problems when interpreting data generated from epidemiological studies and across different laboratories. Stable isotope dilution (SID) methodology coupled with liquid chromatography-selected reaction monitoring-mass spectrometry (LC-SRM/MS) is now accepted as the 'gold-standard' to quantify estrogens and their metabolites in serum and plasma due to improved specificity, high accuracy, and the ability to monitor multiple estrogens when compared with immunoassays. Ultra-high sensitivity can be obtained with pre-ionized derivatives when using triple quadruple mass spectrometers in the selected reaction monitoring (SRM) mode coupled with nanoflow LC. In this review, we have examined the special issues related to utilizing ultra-high sensitivity SID LC-SRM/MS-based methodology to accurately quantify estrogens and their metabolites in the serum and plasma from populations with low estrogen levels. The major issues that are discussed include: sample preparation for both unconjugated and conjugated estrogens, derivatization, chromatographic separation, matrix effects, and assay validation.
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Affiliation(s)
- Qingqing Wang
- Center of Excellence in Environmental Toxicology and Penn SRP Center, Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, United States; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, United States; Department of Pharmacology and Toxicology, Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Clementina Mesaros
- Center of Excellence in Environmental Toxicology and Penn SRP Center, Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, United States; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, United States
| | - Ian A Blair
- Center of Excellence in Environmental Toxicology and Penn SRP Center, Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, United States; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania Philadelphia, PA 19104, United States.
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14
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Moore SC, Matthews CE, Ou Shu X, Yu K, Gail MH, Xu X, Ji BT, Chow WH, Cai Q, Li H, Yang G, Ruggieri D, Boyd-Morin J, Rothman N, Hoover RN, Gao YT, Zheng W, Ziegler RG. Endogenous Estrogens, Estrogen Metabolites, and Breast Cancer Risk in Postmenopausal Chinese Women. J Natl Cancer Inst 2016; 108:djw103. [PMID: 27193440 DOI: 10.1093/jnci/djw103] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Accepted: 03/09/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The role of estrogen metabolism in determining breast cancer risk and differences in breast cancer rates between high-incidence and low-incidence nations is poorly understood. METHODS We measured urinary concentrations of estradiol and estrone (parent estrogens) and 13 estrogen metabolites formed by irreversible hydroxylation at the C-2, C-4, or C-16 positions of the steroid ring in a nested case-control study of 399 postmenopausal invasive breast cancer case participants and 399 matched control participants from the population-based Shanghai Women's Health Study cohort. Odds ratios (ORs) and 95% confidence intervals (CIs) of breast cancer by quartiles of metabolic pathway groups, pathway ratios, and individual estrogens/estrogen metabolites were estimated by multivariable conditional logistic regression. Urinary estrogen/estrogen metabolite measures were compared with those of postmenopausal non-hormone-using Asian Americans, a population with three-fold higher breast cancer incidence rates. All statistical tests were two-sided. RESULTS Urinary concentrations of parent estrogens were strongly associated with breast cancer risk (ORQ4vsQ1 = 1.94, 95% CI = 1.21 to 3.12, Ptrend = .01). Of the pathway ratios, the 2-pathway:total estrogens/estrogen metabolites and 2-pathway:parent estrogens were inversely associated with risk (ORQ4vsQ1 = 0.57, 95% CI = 0.35 to 0.91, Ptrend = .03, and ORQ4vsQ1 = 0.61, 95% CI = 0.37 to 0.99, Ptrend = .04, respectively). After adjusting for parent estrogens, these associations remained clearly inverse but lost statistical significance (ORQ4vsQ1 = 0.65, 95% CI = 0.39 to 1.06, Ptrend = .12 and ORQ4vsQ1 = 0.76, 95% CI = 0.44 to 1.32, Ptrend = .28). The urinary concentration of all estrogens/estrogen metabolites combined in Asian American women was triple that in Shanghai women. CONCLUSIONS Lower urinary parent estrogen concentrations and more extensive 2-hydroxylation were each associated with reduced postmenopausal breast cancer risk in a low-risk nation. Markedly higher total estrogen/estrogen metabolite concentrations in postmenopausal United States women (Asian Americans) than in Shanghai women may partly explain higher breast cancer rates in the United States.
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Affiliation(s)
- Steven C Moore
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Charles E Matthews
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Xiao Ou Shu
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Kai Yu
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Mitchell H Gail
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Xia Xu
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Bu-Tian Ji
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Wong-Ho Chow
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Qiuyin Cai
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Honglan Li
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Gong Yang
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - David Ruggieri
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Jennifer Boyd-Morin
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Nathaniel Rothman
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Robert N Hoover
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Yu-Tang Gao
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Wei Zheng
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
| | - Regina G Ziegler
- Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (SCM, CEM, KY, MHG, BTJ, NR, RNH, RGZ); Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN (XOS, QC, GY, WZ); Frederick National Laboratory for Cancer Research, Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick, MD (XX); Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (HL, YTG); Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, University of Texas MD Anderson Cancer Center, Houston, TX (WHC); Information Management Services, Inc., Rockville, MD (DR, JBM)
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15
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Ziegler RG, Fuhrman BJ, Moore SC, Matthews CE. Epidemiologic studies of estrogen metabolism and breast cancer. Steroids 2015; 99:67-75. [PMID: 25725255 PMCID: PMC5722219 DOI: 10.1016/j.steroids.2015.02.015] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2014] [Accepted: 12/29/2014] [Indexed: 12/21/2022]
Abstract
Early epidemiologic studies of estrogen metabolism measured only 2-hydroxyestrone and 16α-hydroxyestrone and relied on direct enzyme immunoassays without purification steps. Eight breast cancer studies have used these assays with prospectively collected blood or urine samples. Results were inconsistent, and generally not statistically significant; but the assays had limited specificity, especially at the low concentrations characteristic of postmenopausal women. To facilitate continued testing in population-based studies of the multiple laboratory-based hypotheses about the roles of estrogen metabolites, a novel liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay was developed to measure concurrently all 15 estrogens and estrogen metabolites in human serum and urine, as unconjugated and total (glucuronidated+sulfated+unconjugated) concentrations. The assay has high sensitivity (lower limit of quantitation ∼1-2 pmol/L), reproducibility (coefficients of variation generally ⩽5%), and accuracy. Three prospective studies utilizing this comprehensive assay have demonstrated that enhanced 2-hydroxylation of parent estrogens (estrone+estradiol) is associated with reduced risk of postmenopausal breast cancer. In the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) cohort, the serum ratio of 2-hydroxylation pathway metabolites to parent estrogens was associated with a 28% reduction in breast cancer risk across extreme deciles (p-trend=.05), after adjusting for unconjugated estradiol and breast cancer risk factors. Incorporating this ratio into a risk prediction model already including unconjugated estradiol improved absolute risk estimates substantially (by ⩾14%) in 36% of the women, an encouraging result that needs replication. Additional epidemiologic studies of the role of estrogen metabolism in the etiology of hormone-related diseases and continued improvement of estrogen metabolism assays are justified.
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Affiliation(s)
- Regina G Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-9773, USA.
| | - Barbara J Fuhrman
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-9773, USA
| | - Steven C Moore
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-9773, USA
| | - Charles E Matthews
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892-9773, USA
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16
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Goedert JJ, Jones G, Hua X, Xu X, Yu G, Flores R, Falk RT, Gail MH, Shi J, Ravel J, Feigelson HS. Investigation of the association between the fecal microbiota and breast cancer in postmenopausal women: a population-based case-control pilot study. J Natl Cancer Inst 2015; 107:djv147. [PMID: 26032724 DOI: 10.1093/jnci/djv147] [Citation(s) in RCA: 239] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Accepted: 05/04/2015] [Indexed: 12/13/2022] Open
Abstract
We investigated whether the gut microbiota differed in 48 postmenopausal breast cancer case patients, pretreatment, vs 48 control patients. Microbiota profiles in fecal DNA were determined by Illumina sequencing and taxonomy of 16S rRNA genes. Estrogens were quantified in urine. Case-control comparisons employed linear and unconditional logistic regression of microbiota α-diversity (PD_whole tree) and UniFrac analysis of β-diversity, with two-sided statistical tests. Total estrogens correlated with α-diversity in control patients (Spearman Rho = 0.37, P = .009) but not case patients (Spearman Rho = 0.04, P = .77). Compared with control patients, case patients had statistically significantly altered microbiota composition (β-diversity, P = .006) and lower α-diversity (P = .004). Adjusted for estrogens and other covariates, odds ratio of cancer was 0.50 (95% confidence interval = 0.30 to 0.85) per α-diversity tertile. Differences in specific taxa were not statistically significant when adjusted for multiple comparisons. This pilot study shows that postmenopausal women with breast cancer have altered composition and estrogen-independent low diversity of their gut microbiota. Whether these affect breast cancer risk and prognosis is unknown.
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Affiliation(s)
- James J Goedert
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF).
| | - Gieira Jones
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Xing Hua
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Xia Xu
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Guoqin Yu
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Roberto Flores
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Mitchell H Gail
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Jacques Ravel
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
| | - Heather Spencer Feigelson
- Division of Cancer Epidemiology and Genetics (JJG, GJ, XH, GY, RF, RTF, MHG, JS) and Division of Cancer Prevention (RF), National Cancer Institute, Bethesda, MD; Cancer Research Technology Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD (XX); Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD (JR); Institute for Health Research, Kaiser Permanente Colorado, Denver, CO (HSF)
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