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Nonsteroidal Anti-inflammatory Drugs Alter the Microbiota and Exacerbate Colitis while Dysregulating the Inflammatory Response.
Maseda D, Zackular JP, Trindade B, Kirk L, Roxas JL, Rogers LM, Washington MK, Du L, Koyama T, Viswanathan VK, Vedantam G, Schloss PD, Crofford LJ, Skaar EP, Aronoff DM
(2019) MBio 10:
MeSH Terms: Animals, Anti-Inflammatory Agents, Non-Steroidal, CD4-Positive T-Lymphocytes, Clostridium Infections, Gastrointestinal Microbiome, Indomethacin, Intestinal Mucosa, Mice, Neutrophils, Prostaglandins, Survival Analysis
Show Abstract · Added April 7, 2019
infection (CDI) is a major public health threat worldwide. The use of nonsteroidal anti-inflammatory drugs (NSAIDs) is associated with enhanced susceptibility to and severity of CDI; however, the mechanisms driving this phenomenon have not been elucidated. NSAIDs alter prostaglandin (PG) metabolism by inhibiting cyclooxygenase (COX) enzymes. Here, we found that treatment with the NSAID indomethacin prior to infection altered the microbiota and dramatically increased mortality and the intestinal pathology associated with CDI in mice. We demonstrated that in -infected animals, indomethacin treatment led to PG deregulation, an altered proinflammatory transcriptional and protein profile, and perturbed epithelial cell junctions. These effects were paralleled by increased recruitment of intestinal neutrophils and CD4 cells and also by a perturbation of the gut microbiota. Together, these data implicate NSAIDs in the disruption of protective COX-mediated PG production during CDI, resulting in altered epithelial integrity and associated immune responses. infection (CDI) is a spore-forming anaerobic bacterium and leading cause of antibiotic-associated colitis. Epidemiological data suggest that use of nonsteroidal anti-inflammatory drugs (NSAIDs) increases the risk for CDI in humans, a potentially important observation given the widespread use of NSAIDs. Prior studies in rodent models of CDI found that NSAID exposure following infection increases the severity of CDI, but mechanisms to explain this are lacking. Here we present new data from a mouse model of antibiotic-associated CDI suggesting that brief NSAID exposure prior to CDI increases the severity of the infectious colitis. These data shed new light on potential mechanisms linking NSAID use to worsened CDI, including drug-induced disturbances to the gut microbiome and colonic epithelial integrity. Studies were limited to a single NSAID (indomethacin), so future studies are needed to assess the generalizability of our findings and to establish a direct link to the human condition.
Copyright © 2019 Maseda et al.
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11 MeSH Terms
GDF-15, Galectin 3, Soluble ST2, and Risk of Mortality and Cardiovascular Events in CKD.
Tuegel C, Katz R, Alam M, Bhat Z, Bellovich K, de Boer I, Brosius F, Gadegbeku C, Gipson D, Hawkins J, Himmelfarb J, Ju W, Kestenbaum B, Kretzler M, Robinson-Cohen C, Steigerwalt S, Bansal N
(2018) Am J Kidney Dis 72: 519-528
MeSH Terms: Adult, Age Factors, Aged, Biomarkers, Cardiovascular Diseases, Cause of Death, Cohort Studies, Comorbidity, Female, Galectin 3, Growth Differentiation Factor 15, Humans, Interleukin-1 Receptor-Like 1 Protein, Kaplan-Meier Estimate, Male, Middle Aged, Prognosis, Proportional Hazards Models, Renal Insufficiency, Chronic, Retrospective Studies, Risk Assessment, Severity of Illness Index, Sex Factors, Survival Analysis
Show Abstract · Added January 3, 2019
RATIONALE & OBJECTIVE - Inflammation, cardiac remodeling, and fibrosis may explain in part the excess risk for cardiovascular disease (CVD) in patients with chronic kidney disease (CKD). Growth differentiation factor 15 (GDF-15), galectin 3 (Gal-3), and soluble ST2 (sST2) are possible biomarkers of these pathways in patients with CKD.
STUDY DESIGN - Observational cohort study.
SETTING & PARTICIPANTS - Individuals with CKD enrolled in either of 2 multicenter CKD cohort studies: the Seattle Kidney Study or C-PROBE (Clinical Phenotyping and Resource Biobank Study).
EXPOSURES - Circulating GDF-15, Gal-3, and sST2 measured at baseline.
OUTCOMES - Primary outcome was all-cause mortality. Secondary outcomes included hospitalization for physician-adjudicated heart failure and the atherosclerotic CVD events of myocardial infarction and cerebrovascular accident.
ANALYTIC APPROACH - Cox proportional hazards models used to test the association of each biomarker with each outcome, adjusting for demographics, CVD risk factors, and kidney function.
RESULTS - Among 883 participants, mean estimated glomerular filtration rate was 49±19mL/min/1.73m. Higher GDF-15 (adjusted HR [aHR] per 1-SD higher, 1.87; 95% CI, 1.53-2.29), Gal-3 (aHR per 1-SD higher, 1.51; 95% CI, 1.36-1.78), and sST2 (aHR per 1-SD higher, 1.36; 95% CI, 1.17-1.58) concentrations were significantly associated with mortality. Only GDF-15 level was also associated with heart failure events (HR per 1-SD higher, 1.56; 95% CI, 1.12-2.16). There were no detectable associations between GDF-15, Gal-3, or sST2 concentrations and atherosclerotic CVD events.
LIMITATIONS - Event rates for heart failure and atherosclerotic CVD were low.
CONCLUSIONS - Adults with CKD and higher circulating GDF-15, Gal-3, and sST2 concentrations experienced greater mortality. Elevated GDF-15 concentration was also associated with an increased rate of heart failure. Further work is needed to elucidate the mechanisms linking these circulating biomarkers with CVD in patients with CKD.
Copyright © 2018 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
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24 MeSH Terms
Gene expression in triple-negative breast cancer in relation to survival.
Wang S, Beeghly-Fadiel A, Cai Q, Cai H, Guo X, Shi L, Wu J, Ye F, Qiu Q, Zheng Y, Zheng W, Bao PP, Shu XO
(2018) Breast Cancer Res Treat 171: 199-207
MeSH Terms: Adult, Aged, Biomarkers, Tumor, Female, Gene Expression, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Middle Aged, Neoplasm Grading, Neoplasm Staging, Population Surveillance, Prognosis, Registries, Survival Analysis, Triple Negative Breast Neoplasms
Show Abstract · Added December 6, 2018
PURPOSE - The identification of biomarkers related to the prognosis of triple-negative breast cancer (TNBC) is critically important for improved understanding of the biology that drives TNBC progression.
METHODS - We evaluated gene expression in total RNA isolated from formalin-fixed paraffin-embedded tumor samples using the NanoString nCounter assay for 469 TNBC cases from the Shanghai Breast Cancer Survival Study. We used Cox regression to quantify Hazard Ratios (HR) and corresponding confidence intervals (CI) for overall survival (OS) and disease-free survival (DFS) in models that included adjustment for breast cancer intrinsic subtype. Of 302 genes in our discovery analysis, 22 were further evaluated in relation to OS among 134 TNBC cases from the Nashville Breast Health Study and the Southern Community Cohort Study; 16 genes were further evaluated in relation to DFS in 335 TNBC cases from four gene expression omnibus datasets. Fixed-effect meta-analysis was used to combine results across data sources.
RESULTS - Twofold higher expression of EOMES (HR 0.90, 95% CI 0.83-0.97), RASGRP1 (HR 0.89, 95% CI 0.82-0.97), and SOD2 (HR 0.80, 95% CI 0.66-0.96) was associated with better OS. Twofold higher expression of EOMES (HR 0.89, 95% CI 0.81-0.97) and RASGRP1 (HR 0.87, 95% CI 0.81-0.95) was also associated with better DFS. On the contrary, a doubling of FA2H (HR 1.14, 95% CI 1.06-1.22) and GSPT1 (HR 1.33, 95% CI 1.14-1.55) expression was associated with shorter DFS.
CONCLUSIONS - We identified five genes (EOMES, FA2H, GSPT1, RASGRP1, and SOD2) that may serve as potential prognostic biomarkers and/or therapeutic targets for TNBC.
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16 MeSH Terms
Clinical Features Associated With Nascent Left Ventricular Diastolic Dysfunction in a Population Aged 40 to 55 Years.
Mosley JD, Levinson RT, Brittain EL, Gupta DK, Farber-Eger E, Shaffer CM, Denny JC, Roden DM, Wells QS
(2018) Am J Cardiol 121: 1552-1557
MeSH Terms: Adult, Age Distribution, Cohort Studies, Databases, Factual, Diabetes Mellitus, Type 2, Echocardiography, Female, Heart Failure, Diastolic, Humans, Hypertension, Incidence, Kaplan-Meier Estimate, Linear Models, Male, Middle Aged, Multivariate Analysis, Prognosis, Retrospective Studies, Risk Assessment, Severity of Illness Index, Sex Distribution, Stroke Volume, Survival Analysis, United States, Ventricular Dysfunction, Left
Show Abstract · Added June 7, 2018
Diastolic dysfunction (DD), an abnormality in cardiac left ventricular (LV) chamber compliance, is associated with increased morbidity and mortality. Although DD has been extensively studied in older populations, co-morbidity patterns are less well characterized in middle-aged subjects. We screened 156,434 subjects with transthoracic echocardiogram reports available through Vanderbilt's electronic heath record and identified 6,612 subjects 40 to 55 years old with an LV ejection fraction ≥50% and diastolic function staging. We tested 452 incident and prevalent clinical diagnoses for associations with early-stage DD (n = 1,676) versus normal function. There were 44 co-morbid diagnoses associated with grade 1 DD including hypertension (odds ratio [OR] = 2.02, 95% confidence interval [CI] 1.78 to 2.28, p <5.3 × 10-29), type 2 diabetes (OR 1.96, 95% CI 1.68 to 2.29, p = 2.1 × 10-17), tachycardia (OR 1.38, 95% CI 0.53 to 2.19, p = 2.9 × 10-6), obesity (OR 1.76, 95% CI 1.51 to 2.06, p = 1.7 × 10-12), and clinical end points, including end-stage renal disease (OR 3.29, 95% CI 2.19 to 4.96, p = 1.2 × 10-8) and stroke (OR 1.5, 95% CI 1.12 to 2.02, p = 6.9 × 10-3). Among the 60 incident diagnoses associated with DD, heart failure with preserved ejection fraction (OR 4.63, 95% CI 3.39 to 6.32, p = 6.3 × 10-22) had the most significant association. Among subjects with normal diastolic function and blood pressure at baseline, a blood pressure measurement in the hypertensive range at the time of the second echocardiogram was associated with progression to stage 1 DD (p = 0.04). In conclusion, DD was common among subjects 40 to 55 years old and was associated with a heavy burden of co-morbid disease.
Copyright © 2018 Elsevier Inc. All rights reserved.
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25 MeSH Terms
The Clinical Presentation, Survival Outcomes, and Management of Patients With Renal Cell Carcinoma and Cardiac Metastasis Without Inferior Vena Cava Involvement: Results From a Pooled Clinical Trial Database and Systematic Review of Reported Cases.
Viteri Malone MA, Ares GR, De Velasco G, Brandão R, Lin X, Norton C, Simantov R, Moslehi J, Krajewski KM, Choueiri TK, McKay RR
(2018) Clin Genitourin Cancer 16: e327-e333
MeSH Terms: Adult, Aged, Carcinoma, Renal Cell, Clinical Trials as Topic, Female, Heart Neoplasms, Humans, Kidney Neoplasms, Male, Middle Aged, Molecular Targeted Therapy, Progression-Free Survival, Retrospective Studies, Survival Analysis, Treatment Outcome, Vena Cava, Inferior
Show Abstract · Added April 22, 2018
BACKGROUND - Cardiac metastases from renal cell carcinoma (RCC) are uncommon and there are limited data regarding the presentation and outcomes of this population. The objective of this study was to evaluate the characteristics and outcomes of patients with RCC with cardiac metastasis without inferior vena cava (IVC) involvement.
MATERIALS AND METHODS - We conducted a pooled retrospective analysis of metastatic RCC patients treated in 4 clinical trials. Additionally, we conducted a systematic review of cases reported in the literature from 1973 to 2015. Patients with cardiac metastases from RCC without IVC involvement were included. Patient and disease characteristics were described. Additionally, treatments, response to therapy, and survival outcomes were summarized.
RESULTS - Of 1765 metastatic RCC patients in the clinical trials database, 10 had cardiac metastases without IVC involvement. All patients received treatment with targeted therapy. There was 1 observed partial response (10%) and 6 patients showed stable disease (60%). The median progression-free survival was 6.9 months. The systematic review of reported clinical cases included 39 patients. In these patients, the most common cardiac site of involvement was the right ventricle (51%; n = 20). Patients were treated with medical (28%; n = 11) and/or surgical treatment (49%; n = 19) depending on whether disease was isolated (n = 13) or multifocal (n = 26).
CONCLUSION - To our knowledge, this is the first series to report on the presentation and outcomes of patients with cardiac metastasis without IVC involvement in RCC. We highlight that although the frequency of patients with cardiac metastases without IVC involvement is low, these patients have a unique clinical presentation and warrant special multidisciplinary management.
Copyright © 2017 Elsevier Inc. All rights reserved.
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16 MeSH Terms
The Impact of Smoking and TP53 Mutations in Lung Adenocarcinoma Patients with Targetable Mutations-The Lung Cancer Mutation Consortium (LCMC2).
Aisner DL, Sholl LM, Berry LD, Rossi MR, Chen H, Fujimoto J, Moreira AL, Ramalingam SS, Villaruz LC, Otterson GA, Haura E, Politi K, Glisson B, Cetnar J, Garon EB, Schiller J, Waqar SN, Sequist LV, Brahmer J, Shyr Y, Kugler K, Wistuba II, Johnson BE, Minna JD, Kris MG, Bunn PA, Kwiatkowski DJ, LCMC2 investigators
(2018) Clin Cancer Res 24: 1038-1047
MeSH Terms: Adenocarcinoma of Lung, Adult, Aged, Aged, 80 and over, Antineoplastic Agents, Biomarkers, Tumor, Carcinogenesis, DNA Mutational Analysis, Female, High-Throughput Nucleotide Sequencing, Humans, Lung Neoplasms, Male, Middle Aged, Molecular Targeted Therapy, Mutation, Prognosis, Prospective Studies, Smoking, Survival Analysis, Treatment Outcome, Tumor Suppressor Protein p53, Young Adult
Show Abstract · Added April 3, 2018
Multiplex genomic profiling is standard of care for patients with advanced lung adenocarcinomas. The Lung Cancer Mutation Consortium (LCMC) is a multi-institutional effort to identify and treat oncogenic driver events in patients with lung adenocarcinomas. Sixteen U.S. institutions enrolled 1,367 patients with lung cancer in LCMC2; 904 were deemed eligible and had at least one of 14 cancer-related genes profiled using validated methods including genotyping, massively parallel sequencing, and IHC. The use of targeted therapies in patients with or p.V600E mutations, , or rearrangements, or amplification was associated with a survival increment of 1.5 years compared with those with such mutations not receiving targeted therapy, and 1.0 year compared with those lacking a targetable driver. Importantly, 60 patients with a history of smoking derived similar survival benefit from targeted therapy for alterations in //, when compared with 75 never smokers with the same alterations. In addition, coexisting mutations were associated with shorter survival among patients with , or alterations. Patients with adenocarcinoma of the lung and an oncogenic driver mutation treated with effective targeted therapy have a longer survival, regardless of prior smoking history. Molecular testing should be performed on all individuals with lung adenocarcinomas irrespective of clinical characteristics. Routine use of massively parallel sequencing enables detection of both targetable driver alterations and tumor suppressor gene and other alterations that have potential significance for therapy selection and as predictive markers for the efficacy of treatment. .
©2017 American Association for Cancer Research.
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23 MeSH Terms
Prevention of breast cancer skeletal metastases with parathyroid hormone.
Swami S, Johnson J, Bettinson LA, Kimura T, Zhu H, Albertelli MA, Johnson RW, Wu JY
(2017) JCI Insight 2:
MeSH Terms: Animals, Bone Neoplasms, Breast Neoplasms, Cell Line, Tumor, Cellular Microenvironment, Female, Gene Expression Profiling, Heterografts, Liver Neoplasms, Lung Neoplasms, Mice, Parathyroid Hormone, Splenic Neoplasms, Survival Analysis, X-Ray Microtomography
Show Abstract · Added March 26, 2019
Advanced breast cancer is frequently associated with skeletal metastases and accelerated bone loss. Recombinant parathyroid hormone [teriparatide, PTH(1-34)] is the first anabolic agent approved in the US for treatment of osteoporosis. While signaling through the PTH receptor in the osteoblast lineage regulates bone marrow hematopoietic niches, the effects of anabolic PTH on the skeletal metastatic niche are unknown. Here, we demonstrate, using orthotopic and intratibial models of 4T1 murine and MDA-MB-231 human breast cancer tumors, that anabolic PTH decreases both tumor engraftment and the incidence of spontaneous skeletal metastasis in mice. Microcomputed tomography and histomorphometric analyses revealed that PTH increases bone volume and reduces tumor engraftment and volume. Transwell migration assays with murine and human breast cancer cells revealed that PTH alters the gene expression profile of the metastatic niche, in particular VCAM-1, to inhibit recruitment of cancer cells. While PTH did not affect growth or migration of the primary tumor, it elicited several changes in the tumor gene expression profile resulting in a less metastatic phenotype. In conclusion, PTH treatment in mice alters the bone microenvironment, resulting in decreased cancer cell engraftment, reduced incidence of metastases, preservation of bone microarchitecture and prolonged survival.
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15 MeSH Terms
Unexpected Efficacy of a Novel Sodium Channel Modulator in Dravet Syndrome.
Anderson LL, Hawkins NA, Thompson CH, Kearney JA, George AL
(2017) Sci Rep 7: 1682
MeSH Terms: Action Potentials, Animals, Epilepsies, Myoclonic, Ion Channel Gating, Mice, Inbred C57BL, Mice, Knockout, NAV1.1 Voltage-Gated Sodium Channel, NAV1.6 Voltage-Gated Sodium Channel, Neurons, Pyramidal Cells, Pyridines, Seizures, Survival Analysis, Triazoles
Show Abstract · Added October 2, 2018
Dravet syndrome, an epileptic encephalopathy affecting children, largely results from heterozygous loss-of-function mutations in the brain voltage-gated sodium channel gene SCN1A. Heterozygous Scn1a knockout (Scn1a ) mice recapitulate the severe epilepsy phenotype of Dravet syndrome and are an accepted animal model. Because clinical observations suggest conventional sodium channel blocking antiepileptic drugs may worsen the disease, we predicted the phenotype of Scn1a mice would be exacerbated by GS967, a potent, unconventional sodium channel blocker. Unexpectedly, GS967 significantly improved survival of Scn1a mice and suppressed spontaneous seizures. By contrast, lamotrigine exacerbated the seizure phenotype. Electrophysiological recordings of acutely dissociated neurons revealed that chronic GS967-treatment had no impact on evoked action potential firing frequency of interneurons, but did suppress aberrant spontaneous firing of pyramidal neurons and was associated with significantly lower sodium current density. Lamotrigine had no effects on neuronal excitability of either neuron subtype. Additionally, chronically GS967-treated Scn1a mice exhibited normalized pyramidal neuron sodium current density and reduced hippocampal Na1.6 protein levels, whereas lamotrigine treatment had no effect on either pyramidal neuron sodium current or hippocampal Na1.6 levels. Our findings demonstrate unexpected efficacy of a novel sodium channel blocker in Dravet syndrome and suggest a potential mechanism involving a secondary change in Na1.6.
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14 MeSH Terms
In silico evaluation of DNA Damage Inducible Transcript 4 gene (DDIT4) as prognostic biomarker in several malignancies.
Pinto JA, Rolfo C, Raez LE, Prado A, Araujo JM, Bravo L, Fajardo W, Morante ZD, Aguilar A, Neciosup SP, Mas LA, Bretel D, Balko JM, Gomez HL
(2017) Sci Rep 7: 1526
MeSH Terms: Biomarkers, Tumor, Computer Simulation, DNA Damage, Databases as Topic, Humans, Neoplasms, Phosphatidylinositol 3-Kinases, Prognosis, Signal Transduction, Sirolimus, Survival Analysis, TOR Serine-Threonine Kinases, Transcription Factors, Treatment Outcome
Show Abstract · Added March 14, 2018
DDIT4 gene encodes a protein whose main action is to inhibit mTOR under stress conditions whilst several in vitro studies indicate that its expression favors cancer progression. We have previously described that DDIT4 expression is an independent prognostic factor for tripe negative breast cancer resistant to neoadjuvant chemotherapy. We herein report that high DDIT4 expression is related to the outcome (recurrence-free survival, time to progression and overall survival) in several cancer types. We performed in silico analysis in online platforms, in pooled datasets from KM Plotter and meta-analysis of individual datasets from SurvExpress. High levels of DDIT4 were significantly associated with a worse prognosis in acute myeloid leukemia, breast cancer, glioblastoma multiforme, colon, skin and lung cancer. Conversely, a high DDIT4 expression was associated with an improved prognostic in gastric cancer. DDIT4 was not associated with the outcome of ovarian cancers. Analysis with data from the Cell Miner Tool in 60 cancer cell lines indicated that although rapamycin activity was correlated with levels of MTOR, it is not influenced by DDIT4 expression. In summary, DDIT4 might serve as a novel prognostic biomarker in several malignancies. DDIT4 activity could be responsible for resistance to mTOR inhibitors and is a potential candidate for the development of targeted therapy.
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14 MeSH Terms
Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas.
Huo D, Hu H, Rhie SK, Gamazon ER, Cherniack AD, Liu J, Yoshimatsu TF, Pitt JJ, Hoadley KA, Troester M, Ru Y, Lichtenberg T, Sturtz LA, Shelley CS, Benz CC, Mills GB, Laird PW, Shriver CD, Perou CM, Olopade OI
(2017) JAMA Oncol 3: 1654-1662
MeSH Terms: African Americans, Aged, Breast Neoplasms, Breast Neoplasms, Male, Class I Phosphatidylinositol 3-Kinases, Databases, Factual, European Continental Ancestry Group, Female, Gene Expression Regulation, Neoplastic, Humans, Male, Middle Aged, Mutation, Precision Medicine, Receptor, ErbB-2, Survival Analysis, Tumor Suppressor Protein p53, United States
Show Abstract · Added May 10, 2017
Importance - African Americans have the highest breast cancer mortality rate. Although racial difference in the distribution of intrinsic subtypes of breast cancer is known, it is unclear if there are other inherent genomic differences that contribute to the survival disparities.
Objectives - To investigate racial differences in breast cancer molecular features and survival and to estimate the heritability of breast cancer subtypes.
Design, Setting, and Participants - Among a convenience cohort of patients with invasive breast cancer, breast tumor and matched normal tissue sample data (as of September 18, 2015) were obtained from The Cancer Genome Atlas.
Main Outcomes and Measures - Breast cancer–free interval, tumor molecular features, and genetic variants.
Results - Participants were 930 patients with breast cancer, including 154 black patients of African ancestry (mean [SD] age at diagnosis, 55.66 [13.01] years; 98.1% [n = 151] female) and 776 white patients of European ancestry (mean [SD] age at diagnosis, 59.51 [13.11] years; 99.0% [n = 768] female). Compared with white patients, black patients had a worse breast cancer-free interval (hazard ratio, HR=1.67; 95% CI, 1.02-2.74; P = .043). They had a higher likelihood of basal-like (odds ratio, 3.80; 95% CI, 2.46-5.87; P < .001) and human epidermal growth factor receptor 2 (ERBB2 [formerly HER2])–enriched (odds ratio, 2.22; 95% CI, 1.10-4.47; P = .027) breast cancer subtypes, with the Luminal A subtype as the reference. Blacks had more TP53 mutations and fewer PIK3CA mutations than whites. While most molecular differences were eliminated after adjusting for intrinsic subtype, the study found 16 DNA methylation probes, 4 DNA copy number segments, 1 protein, and 142 genes that were differentially expressed, with the gene-based signature having an excellent capacity for distinguishing breast tumors from black vs white patients (cross-validation C index, 0.878). Using germline genotypes, the heritability of breast cancer subtypes (basal vs nonbasal) was estimated to be 0.436 (P = 1.5 × 10−14). The estrogen receptor–positive polygenic risk score built from 89 known susceptibility variants was higher in blacks than in whites (difference, 0.24; P = 2.3 × 10−5), while the estrogen receptor–negative polygenic risk score was much higher in blacks than in whites (difference, 0.48; P = 2.8 × 10−11).
Conclusions and Relevance - On the molecular level, after adjusting for intrinsic subtype frequency differences, this study found a modest number of genomic differences but a significant clinical survival outcome difference between blacks and whites in The Cancer Genome Atlas data set. Moreover, more than 40% of breast cancer subtype frequency differences could be explained by genetic variants. These data could form the basis for the development of molecular targeted therapies to improve clinical outcomes for the specific subtypes of breast cancers that disproportionately affect black women. Findings also indicate that personalized risk assessment and optimal treatment could reduce deaths from aggressive breast cancers for black women.
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18 MeSH Terms