High platelet count as a predicting factor of histopathological grading among invasive breast cancer individuals: a single centre experience from Indonesia.

Autor: Hermansyah, Dedy, Al Anas, Muhammad, Firsty, Naufal Nandita, Siregar, Denny Rifsal
Zdroj: Reports of Practical Oncology & Radiotherapy; 2023, Vol. 28 Issue 1, p9-14, 6p
Abstrakt: Background: The interplay between platelet and breast cancer (BC) pathology may have the potential to represent the malignancy status itself, evidently through predicting the histopathological results of each individual. This study aims to elaborate on the diagnostic value of a higher platelet count or thrombocytosis and the histopathological status of invasive BC in our center, explaining its correlation from the diagnostic perspective. Materials and methods: A retrospective cohort study was conducted using breast cancer patients' medical records from January to March 2022 at the Haji Adam Malik General Hospital, Medan, Indonesia. The patients' histopathological records and complete blood counts were collected from the hospital's medical records. We analyzed the risk analysis model in receiver operator characteristics analysis and diagnostic parameters, e.g., sensitivity and specificity, which we analyzed further using the correlation test to fulfill our objective. Result: The mean age of the 69 subjects we included, in the final analysis, was 49.0 ± 11.1 years old, of whom 35 (50.7%) individuals were histologically confirmed to be high-grade BC. By applying the cut-off value of 299 x 103 cells/µL, the diagnostic value of a platelet count was 60.0 % in sensitivity, 61.8% in specificity, and an area under the curve (AUC) value of 0.597 (0.462-0.732) in 95% confidence interval (CI) as presented by receiver operating characteristic (ROC). We also found that a higher platelet count may also predict the diagnosis of invasive BC by 2.423 times as shown in the odd ratio (OR) analysis. Conclusion: Platelet counts investigation is an applicable yet potential hematological biomarker to predict invasive BC histopathological grading. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index