Refined histopathological predictors of BRCA1 and BRCA2 mutation status: A large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Introduction: The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Methods: Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the

IV Foro Internacional de Ganadería Sustentable: conectividad ecosistémica y articulación territorial hacia la Agenda 2030

En este espacio plural de análisis y reflexiones, buscamos articular conceptos y posibilidades para los territorios de montaña del centro de México, dando importancia a medios de vida vinculados a la ganadería y su interacción ecosistémica, fundamentado en innovaciones, casos de éxito e iniciativas emblemáticas nacionales e internacionales. La socialización de experiencias es uno de los pilares para transitar hacia la sostenibilidad de los sistemas productivos ganaderos: compartir logros e iniciativas, crear sinergias e identificar vulnerabilidades desde distintos enfoques.GIZ, Agencia de Cooperación Aleman

Refined histopathological predictors of BRCA1 and BRCA2 mutation status : a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Abstract Introduction The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Methods Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach. Results ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)). Conclusions These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management

Anales de Edafología y Agrobiología Tomo 21 Número 3

Estudio de la composición mineralógica de las arcillas de los suelos volcánicos españoles, por V. Aleixandre, l. García Vicente y T. Aleixandre.-- Acción del ácido clorhídrico sobre los minerales de la arcilla (I), por T. Fernández Alvarez y A. Henández Chesa.-- Efecto de la suplementación de una ración práctica con metionina o colina, por R. Sanz Arias y l. Balboa Martín. Notas. II Reunión Plenaria del lnstituto Nacional de Edafología y Agrobiología.-- Conferencia del Prof. Dr. L. Wiklander.-- Conferencia del Prof. Dr. H. Gisin.-- Congresos, reuniones y visitas a Centros.—Pensionados.—Bibliografía. G. B. A.: Actas de la Primera Reunión Plenaria del Instituto de Edafología y Agrobiología del Consejo Superior de Investigaciones CientíficasPeer reviewe