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Breast Cancer Patient Prognosis Is Determined by the Interplay between TP53 Mutation and Alternative Transcript
Annette Lasham1,2, Nicholas Knowlton1,2, Sunali Y Mehta2,3
1Department of Molecular Medicine and Pathology, School of Medical Sciences, University of Auckland, Auckland 1142, New Zealand.
Cancers
|April 3, 2021
Summary
TP53 gene mutations and transcript variants significantly impact breast cancer patient outcomes. Analyzing TP53 splice site mutations and transcript ratios offers new insights into cancer development and prognosis.
Area of Science:
- Molecular Biology
- Genetics
- Oncology
Background:
- The TP53 gene locus produces multiple RNA transcripts encoding various p53 protein isoforms.
- Previous multiplex long amplicon droplet digital PCR (ddPCR) assays quantified seven of eight TP53 reference transcripts.
- Quantifying the eighth TP53 transcript, encoding ∆40p53α, was previously lacking.
Purpose of the Study:
- To develop and validate a ddPCR assay for the TP53 ∆40p53α transcript.
- To investigate the association between TP53 mutations, transcript variant expression, and patient outcomes in a New Zealand breast cancer cohort.
- To explore the prognostic significance of combining TP53 mutation status with TP53 transcript expression patterns.
Main Methods:
- Developed a novel long amplicon ddPCR assay for the TP53 ∆40p53α transcript.
- Applied multiplex long amplicon ddPCR assays to quantify eight TP53 reference transcripts.
- Performed DNA sequencing of the TP53 gene locus.
- Conducted Cox proportional hazards survival analysis to assess the interplay between TP53 mutation status, transcript variants, and patient outcomes.
Main Results:
- A high prevalence of TP53 splice site mutations was observed in the New Zealand breast cancer cohort.
- TP53 intron 4 splice site mutations correlated with overexpression of ∆133TP53 transcripts.
- A significant association was found between TP53 mutation status, TP53 transcript variant expression, and patient survival.
- Patients with no TP53 mutation and a low ratio of TP53 transcripts t2 to t1 exhibited a remarkably good prognosis.
Conclusions:
- The developed ddPCR assay enables comprehensive quantification of TP53 transcript variants.
- TP53 splice site mutations and specific transcript expression patterns are significant prognostic factors in breast cancer.
- Integrating TP53 mutation analysis with transcript expression profiling offers a novel approach to understanding TP53's role in cancer and predicting patient outcomes.
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