Genetic susceptibility to breast cancer increases the risk of neutropenia and agranulocytosis: insights from Mendelian randomization.

PURPOSE: The causal relationship between breast cancer and its estrogen receptor (ER) subtypes and neutropenia and agranulocytosis is unclear. METHODS: In two-sample Mendelian randomization (MR), we used inverse variance weighting (IVW), Bayesian weighted MR (BWMR), MR-Egger, weighted median, simple mode, and weighted mode methods to analyze causality for ER-positive breast cancer, ER-negative breast cancer, overall breast cancer, and drug-induced neutropenia and agranulocytosis. To validate the results, we performed the analysis again using GWAS data on neutropenia from different databases. In multivariable MR (MVMR), we assessed the independent effects of ER-positive and ER-negative breast cancer on causality. RESULTS: Two-sample MR analysis showed a causal relationship between ER-positive breast cancer (IVW odds ratio (OR) = 1.319, P = 7.580 × 10-10), ER-negative breast cancer (OR = 1.285, P = 1.263 × 10-4), overall breast cancer (OR = 1.418, P = 2.123 × 10-13), and drug-induced neutropenia and a causal relationship between ER-positive breast cancer (OR = 1.349, P = 1.402 × 10-7), ER-negative breast cancer (OR = 1.235, P = 7.615 × 10-3), overall breast cancer (OR = 1.429, P = 9.111 × 10-10), and neutropenia. Similarly, ER-positive breast cancer (OR = 1.213, P = 5.350 × 10-8), ER-negative breast cancer (OR = 1.179, P = 1.300 × 10-3), and overall breast cancer (OR = 1.275, P = 8.642 × 10-11) also had a causal relationship with agranulocytosis. MVMR analysis showed that ER-positive breast cancer remained causally associated with drug-induced neutropenia (OR = 1.233, P = 4.188 × 10-4), neutropenia (OR = 1.283, P = 6.363 × 10-4), and agranulocytosis (OR = 1.142, P = 4.549 × 10-3). Heterogeneity analysis and pleiotropy test showed that our results were reliable. CONCLUSION: Our study provides genetic evidence for a causal association between breast cancer and its estrogen receptor subtypes and neutropenia. In clinical practice, in addition to focusing on therapeutic factors, additional attention should be given to breast cancer patients to avoid severe neutropenia.

Association between body roundness index (BRI) and gallstones: results of the 2017-2020 national health and nutrition examination survey (NHANES).

BACKGROUND: Gallstones are associated with obesity, and the BRI is a new obesity index that more accurately reflects body fat and visceral fat levels. The relationship between BRI and gallstone risk is currently unknown, and we aimed to explore the relationship between BRI and gallstone prevalence. METHODS: A cross-sectional study was conducted utilizing data from the 2017-2020 NHANES involving a total of 5297 participants. To assess the association between BRI and gallstones, we used logistic regression analysis, subgroup analysis, and interaction terms. In addition, we performed restricted cubic spline (RCS) analysis and threshold effects analysis to characterize nonlinear relationships. We assessed the ability of BRI and Body mass index (BMI) to identify gallstones using receiver operating curve (ROC) analysis and area under the curve (AUC), and compared them using the Delong test. RESULTS: Of the 5297 participants aged 20 years and older included in the study, 575 had gallstones. In fully adjusted models, a positive association between BRI and gallstone prevalence was observed (OR = 1.16, 95% CI: 1.12-1.20, P < 0.0001). Individuals in the highest quartile of BRI had a 204% increased risk of gallstones compared with those in the lowest quartile (OR = 3.04, 95% CI: 2.19-4.22, P < 0.0001). The correlation between BRI and gallstones persisted in subgroup analyses. RCS analyses showed a nonlinear relationship between BRI and gallstones. The inflection point was further found to be 3.96, and the correlation between BRI and gallstones was found both before and after the inflection point. ROC analysis showed that BRI (AUC = 0.667) was a stronger predictor of gallstones than BMI (AUC = 0.634). CONCLUSIONS: Elevated BRI is associated with an increased risk of gallstones in the U.S. population, and BRI is a stronger predictor of gallstones than BMI. Maintaining an appropriate BRI is recommended to reduce the incidence of gallstones.

Effect of adjuvant radiotherapy on overall survival and breast cancer-specific survival of patients with malignant phyllodes tumor of the breast in different age groups: a retrospective observational study based on SEER.

PURPOSE: Malignant phyllodes tumor of the breast (MPTB) is a rare type of breast cancer, with an incidence of less than 1%. The value of adjuvant radiotherapy (RT) for MPTB has been controversial. The aim of the study was to explore the effect of radiotherapy on the long-term survival of female patients with MPTB at different ages. METHODS: Female MPTB patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2020. A Kaplan-Meier survival analysis was conducted to investigate the value of RT for the long-term survival of MPTB patients in different age groups. Additionally, univariate and multivariate Cox regression analyses were performed for overall survival (OS) and breast cancer-specific survival (BCSS) of MPTB patients. Furthermore, propensity score matching (PSM) was also performed to balance the differences in baseline characteristics. RESULTS: 2261 MPTB patients were included in this study, including 455 patients (20.12%) with RT and 1806 patients (79.88%) without RT. These patients were divided into four cohorts based on their ages: 18-45, 46-55, 56-65, and 65-80. Before adjustment, there was a statistically significant difference in long-term survival between RT-treated and non-RT-treated patients in the younger age groups (age group of 18-45 years: OS P = 0.019, BCSS P = 0.016; age group of 46-55 years: OS P < 0.001, BCSS P < 0.001). After PSM, no difference was found in long-term survival of patients in both younger and older groups regardless of whether they received RT (age group of 18-45 years: OS P = 0.473, BCSS P = 0.750; age group of 46-55 years: OS P = 0.380, BCSS P = 0.816, age group of 56-65 years: OS P = 0.484, BCSS P = 0.290; age group of 66-80 years: OS P = 0.997, BCSS P = 0.763). In multivariate COX regression analysis, RT did not affect long-term survival in patients with MPTB. CONCLUSION: There is no evidence that long-term survival of MPTB patients in specific age groups can benefit from RT.

Body mass index and risk of inflammatory breast disease: a Mendelianrandomization study / Índice de masa corporal y riesgo de mastitis: un estudio de aleatorización mendeliana

Introduction: in previous studies, obesity was identified as a risk factor for inflammatory breast disease, but its causality is uncertain. In thepresent study, we performed a two-sample Mendelian randomization (TSMR) analysis to investigate the causal relationship between obesity andinflammatory breast disease.Methods: we use body mass index (BMI) as a measure of obesity. Data for single nucleotide polymorphisms (SNPs) associated with BMI wereobtained from UK Biobank. Data for single nucleotide polymorphisms (SNPs) associated with mastitis were obtained from FinnGen Biobank. We usedseveral MR analysis methods, such as inverse-variance weighting (IVW), MR-Egger, weighted median, simple mode and weighted mode to makeour results more convincing. We also performed MR-PRESSO test, MR-Egger test, heterogeneity test, pleiotropy test and leave-one-out analysisto make our analysis results more robust and credible. We used odds ratio (OR) to evaluate the causal relationship between BMI and mastitis.Results: based on the IVW random effects model, we found that a one-standard deviation (SD) increase in BMI increased the risk of mastitis by62.1 % (OR = 1.621, 95 % CI: 1.262-2.083, p = 1.59E-4), which is almost consistent with the results of several other methods.Conclusions: in European individuals, an increase in the number of BMI increases the risk of inflammatory breast disease. People with high BMIneed to control their weight to reduce the incidence of inflammatory breast disease.(AU)

Introducción: en estudios previos, la obesidad se identificó como un factor de riesgo para la enfermedad inflamatoria de mama, pero su cau-salidad es incierta. En el presente estudio, se realizó un análisis de aleatorización mendeliana de dos muestras (TSMR) para investigar la relacióncausal entre la obesidad y la enfermedad inflamatoria de mama.Métodos: se empleó el índice de masa corporal (IMC) como medida de obesidad. Los datos de los polimorfismos de nucleótido único (SNP)asociados con el IMC se obtuvieron del Biobank de Reino Unido y los datos de los polimorfismos de nucleótido único (SNP) asociados con lamastitis se obtuvieron de FinnGen Biobank. Se utilizaron varios métodos de análisis de RM, como la ponderación inversa de la varianza (IVW),RM-Egger, mediana ponderada, modo simple y modo ponderado para que nuestros resultados fueran más convincentes. También se realizaronla prueba MR-PRESSO, la prueba MR-Egger, la prueba de heterogeneidad, el test de pleiotropía y la validación dejando uno fuera (en inglés,leave-one-out) para que los resultados de nuestro análisis fueran más sólidos y creíbles. Se utilizó la odds ratio (OR) para evaluar la relacióncausal entre el IMC y la mastitis.Resultados: basándonos en el modelo de efectos aleatorios IVW, se halló que un aumento de una desviación estándar (DE) en el IMC aumentabael riesgo de mastitis en un 62,1 % (OR = 1,621, IC 95 %: 1,262-2,083, p = 1,59E-4), que es casi consistente con los resultados de otrosdiversos métodos.Conclusiones: en los individuos europeos, un aumento del número de IMC aumenta el riesgo de enfermedad inflamatoria mamaria. Las personascon un IMC elevado deben controlar su peso para reducir la incidencia de enfermedad inflamatoria de la mama.(AU)

Body mass index and risk of inflammatory breast disease: a Mendelian randomization study.

Introduction: Introduction: in previous studies, obesity was identified as a risk factor for inflammatory breast disease, but its causality is uncertain. In the present study, we performed a two-sample Mendelian randomization (TSMR) analysis to investigate the causal relationship between obesity and inflammatory breast disease. Methods: we use body mass index (BMI) as a measure of obesity. Data for single nucleotide polymorphisms (SNPs) associated with BMI were obtained from UK Biobank. Data for single nucleotide polymorphisms (SNPs) associated with mastitis were obtained from FinnGen Biobank. We used several MR analysis methods, such as inverse-variance weighting (IVW), MR-Egger, weighted median, simple mode and weighted mode to make our results more convincing. We also performed MR-PRESSO test, MR-Egger test, heterogeneity test, pleiotropy test and leave-one-out analysis to make our analysis results more robust and credible. We used odds ratio (OR) to evaluate the causal relationship between BMI and mastitis. Results: based on the IVW random effects model, we found that a one-standard deviation (SD) increase in BMI increased the risk of mastitis by 62.1 % (OR = 1.621, 95 % CI: 1.262-2.083, p = 1.59E-4), which is almost consistent with the results of several other methods. Conclusions: in European individuals, an increase in the number of BMI increases the risk of inflammatory breast disease. People with high BMI need to control their weight to reduce the incidence of inflammatory breast disease.

Introducción: Introducción: en estudios previos, la obesidad se identificó como un factor de riesgo para la enfermedad inflamatoria de mama, pero su causalidad es incierta. En el presente estudio, se realizó un análisis de aleatorización mendeliana de dos muestras (TSMR) para investigar la relación causal entre la obesidad y la enfermedad inflamatoria de mama. Métodos: se empleó el índice de masa corporal (IMC) como medida de obesidad. Los datos de los polimorfismos de nucleótido único (SNP) asociados con el IMC se obtuvieron del Biobank de Reino Unido y los datos de los polimorfismos de nucleótido único (SNP) asociados con la mastitis se obtuvieron de FinnGen Biobank. Se utilizaron varios métodos de análisis de RM, como la ponderación inversa de la varianza (IVW), RM-Egger, mediana ponderada, modo simple y modo ponderado para que nuestros resultados fueran más convincentes. También se realizaron la prueba MR-PRESSO, la prueba MR-Egger, la prueba de heterogeneidad, el test de pleiotropía y la validación dejando uno fuera (en inglés, leave-one-out) para que los resultados de nuestro análisis fueran más sólidos y creíbles. Se utilizó la odds ratio (OR) para evaluar la relación causal entre el IMC y la mastitis. Resultados: basándonos en el modelo de efectos aleatorios IVW, se halló que un aumento de una desviación estándar (DE) en el IMC aumentaba el riesgo de mastitis en un 62,1 % (OR = 1,621, IC 95 %: 1,262-2,083, p = 1,59E-4), que es casi consistente con los resultados de otros diversos métodos. Conclusiones: en los individuos europeos, un aumento del número de IMC aumenta el riesgo de enfermedad inflamatoria mamaria. Las personas con un IMC elevado deben controlar su peso para reducir la incidencia de enfermedad inflamatoria de la mama.

Effect of radiation therapy on patients with stage T3 or T4 malignant phyllodes tumors: a retrospective observational study based on SEER.

PURPOSE: Among all primary breast tumors, malignant phyllodes tumor of the breast (MPTB) make up less than 1%. In the treatment of phyllode tumors, surgical procedures such as mastectomy and breast-conserving surgery are the mainstay. MPTB has, however, been controversial when it comes to treating it with RT. We aimed to explore the prognostic impact of RT and other clinicopathologic factors on long-term survival for patients with stage T3 or T4 malignant phyllodes tumors. METHODS: We select patients with stage T3 or T4 MPTB who qualified for the criteria between 2000 and 2018 via the Surveillance, Epidemiology, and End Results (SEER) database. We performed 1:1 propensity score matching (PSM) and Kaplan-Meier analysis to explore the role of RT in long-term survival of patients with stage T3 or T4 MPTB. A univariate and multivariate analysis of breast cancer-specific survival (BCSS) and overall survival (OS) risk factors was carried out using a Cox proportional hazards model. In addition, the nomogram graph of OS and BCSS was constructed. RESULTS: A total of 583 patients with stage T3 or T4 malignant phyllodes tumors were included in this study, of whom 154 (26.4%) received RT, and 429 (73.6%) were treated without RT. Before adjustment, between groups with and without RT, BCSS (p = 0.1) and OS (p = 0.212) indicated no significant difference respectively. Using of PSM, the two groups still did not differ significantly in BCSS (p = 0.552) and OS (p = 0.172). In multivariate analysis, age (p < 0.001), surgery of primary site (p < 0.001) and distant metastatic status (p < 0.001) were related to prognosis, while RT still did not affect BCSS (p = 0.877) and OS (p = 0.554). CONCLUSION: Based on the SEER database analysis, the study suggests that the patients with stage T3 or T4 MPTB treated with RT after surgery didn't have significant differences in BCSS or OS compared to those not treated with RT.