Quantitative Histological Evaluation of Invasive Breast Carcinoma of Filipinos with TP53 Mutation
Keywords:
Histological Evaluation,, Invasive Breast Carcinoma, TP53 Mutation, stereology, morphometryAbstract
This study utilized stereological technique and standard morphometry in the characterization of TP53 population. The study analyzed the relationship of age and histological grade on the morphometric and stereologic characters. The morphometric characters studied were cell size, nuclear size. and lymph node and microvessel density. Cell sizes showed correlation with histological grade and marginal, correlation was observed between histological grade 3 age and cell size. Nuclear sizes increased as histological grade increased too. Lymph node status showed no correlation with histological grade. Histological grade 3 shows age-lymph node marginal correlation. Microvessel density showed correlation with histological grade but weak correlation was observed between histological grade 3-age and microvessel density. The stereologic parameters were mean nuclear volume. mean nuclear volume fraction,mean nuclear index, mitotic index and mean nuclear profile area. Measurements were performed in microscopic fields that were sampled systematically from histological sections. Using a test system with point and counting frames, estimates of the nuclear values and mitotic index were made. Mean nuclear volume increased as histological grade increased too. Histological grade 3 age and mean nuclear volume showed low correlation. Nuclear volume fraction showed relationship with histological grade. Age factor showed no correlation with nuclear volume fraction. Nuclear index in both wild type and mutant population did not show relationship with histological grade and age. Mean nuclear profile area showed correlation with histological grade and no correlation with age and nuclear profile area. Mitotic index showed correlation with histological grade and low correlation between histological grade 3 age and mitotic index. This study suggests to confirm the results with more samples.