Abstract 31P
Background
Triple-Negative Breast Cancer (TNBC) represents an aggressive phenotype among other breast cancer subtypes with worst prognosis due to abundant inflammatory process. Recent pre-clinical study suggested a correlation between p53 inactivation and systemic inflammation response in driving breast cancer progression. In this study, we evaluated the prognostic value of pre-treatment NLR and its association with mutant p53 expression.
Methods
TNBC patients treated in of Dr. Sardjito General Hospital during 2014-2017 were retrospectively analyzed. Receiver Operating Curve (ROC) was utilized to determine the NLR cut off value and Kaplan Meier survival analysis was used to evaluate the 3-years overall survival (OS). To examine the correlation of NLR and p53, chi-square and independent t-test analysis were applied. Multivariate analysis was done using Cox Proportional Hazard Regression Model with adjustment for age, BMI, clinical staging, histological grading, subtypes, and therapy.
Results
A total of 53 TNBC patients were included in this study. The cut off value used to classify NLR into high and low NLR was 1.67 (AUC: 0.720, 95%CI: 0.581-0.859, p: 0.007, sensitivity: 87.1%, specificity: 50.0%). Mutant p53 expression was associated with high NLR (p= 0.013) with significant difference (Mean difference: 0.611, 95%CI: 0.425-1.179, student’s t-test p: 0.036). Patients with high NLR showed worse 3-years OS than patients with low NLR (Median OS±SE (months): 21.205±2.356, 95%CI: 16.588-25.823 vs unreached, p: 0.006). NLR was an independent prognostic factor of TNBC based on multivariate analysis (HR: 3.705, 95%CI: 1.176-11.666, p: 0.025).
Conclusions
Mutant p53 expression was associated with high NLR and, furthermore, NLR was an independent prognostic marker for TNBC. Therefore, this combination has the potential to stratify TNBC patients’ risk and further study is needed to formulate the stratification system.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
313P - Diagnostic value of micro RNA (miRNA) in renal cell cancer: A meta-analysis and systemic review
Presenter: Jestoni Aranilla
Session: e-Poster Display Session
314P - Comprehensive microbial signatures and genomic profiling in tumour samples using next generation sequencing
Presenter: Mei Qi Yee
Session: e-Poster Display Session
315P - High-penetrance breast and/or ovarian cancer susceptibility genes in Filipinos
Presenter: Frances Victoria Que
Session: e-Poster Display Session
316P - Implementation of Vela Analytics to accelerate comprehensive interpretation and reporting of next-generation sequencing-based oncology testing in clinical diagnostic laboratories
Presenter: Yingnan Yu
Session: e-Poster Display Session
317P - Genomic profiling and molecular pathology of Chinese glioma patients
Presenter: yuanli Zhao
Session: e-Poster Display Session
320P - Psychometric interplay of the perception of the real-life impact of COVID-19 pandemic: A cross-sectional survey of patients with newly diagnosed malignancies
Presenter: Kelvin Bao
Session: e-Poster Display Session
321P - Impact of COVID-19 and lockdown on adherence to treatment schedule among cancer patients
Presenter: Krishnamani Kalpathi
Session: e-Poster Display Session
322P - Challenged faced by cancer patients during the COVID-19 pandemic
Presenter: mithra Krishnamani
Session: e-Poster Display Session
323P - Oncology care in the Republic of Kazakhstan during COVID-19
Presenter: Dilyara Kaidarova
Session: e-Poster Display Session
324P - COVID era: Perception of oncologists from a developing nation
Presenter: Rakesh Roy
Session: e-Poster Display Session