Back to Search
Start Over
Real-world Comparison of P53 Immunohistochemistry and TP53 Mutation Analysis Using Next-generation Sequencing.
- Source :
-
Anticancer research [Anticancer Res] 2024 Sep; Vol. 44 (9), pp. 3983-3994. - Publication Year :
- 2024
-
Abstract
- Background/aim: TP53 mutation in breast cancer (BC) is associated with chemoresistance, endocrine therapy resistance, and late recurrence, resulting in poor prognosis. Nuclear accumulation of p53 in immunohistochemistry (IHC) is a surrogate marker of TP53 mutation. This study analyzed the frequency, type, and distribution of TP53 mutations in BCs and assessed the efficacy of p53 IHC as a surrogate marker of TP53 mutation.<br />Patients and Methods: We collected data from 112 BC cases, including the results of p53 IHC and next-generation sequencing (NGS).<br />Results: Over-expression of p53 IHC was observed in 36 patients (32.1%), complete absence in 19 patients (17.0%), aberrant cytoplasmic staining in 1 patient (0.9%), and wild-type in 56 (50.0%) patients. The concordance rate between TP53 mutation and p53 IHC was 88.4% in all BCs, 89.9% in luminal BCs, and 86.0% in triple-negative BCs (TNBC). TNBC, abnormal p53 IHC pattern, p53 IHC over-expression, neoadjuvant chemotherapy (NAC) history, TP53 mutation, and high pre-treatment ki-67 labeling index (≥50%) were significantly associated with worse distant metastasis-free survival (DMFS) and overall survival (OS) (p<0.05). Pre-NAC clinical stage III was associated with worse DMFS but not OS. Multivariate analysis showed that NAC history, TNBC, and p53 IHC over-expression were independent predictors of worse DMFS. An abnormal p53 IHC pattern and NAC history were independent predictors of worse OS.<br />Conclusion: P53 IHC is a valid surrogate marker of TP53 mutation in BC. Accumulation of abnormal p53 alone, regardless of TP53 mutation, was associated with worse DMFS and can be used as an easily accessible biomarker to predict chemoresistance.<br /> (Copyright © 2024 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
- Subjects :
- Humans
Female
Middle Aged
Adult
Aged
Biomarkers, Tumor genetics
Biomarkers, Tumor metabolism
DNA Mutational Analysis
Prognosis
Triple Negative Breast Neoplasms genetics
Triple Negative Breast Neoplasms pathology
Triple Negative Breast Neoplasms drug therapy
Tumor Suppressor Protein p53 genetics
Tumor Suppressor Protein p53 metabolism
High-Throughput Nucleotide Sequencing
Immunohistochemistry
Mutation
Breast Neoplasms genetics
Breast Neoplasms pathology
Breast Neoplasms drug therapy
Breast Neoplasms metabolism
Breast Neoplasms mortality
Subjects
Details
- Language :
- English
- ISSN :
- 1791-7530
- Volume :
- 44
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Anticancer research
- Publication Type :
- Academic Journal
- Accession number :
- 39197898
- Full Text :
- https://doi.org/10.21873/anticanres.17227