Performance of LFSPRO TP53 germline carrier risk predictions compared to standard genetic counseling practice on prospectively collected probands
Corredor, J. L.; Dodd-Eaton, E. B.; Woodman-Ross, J.; Woodson, A.; Nguyen, N. H.; Peng, G.; Green, S.; Gutierrez, A. M.; Arun, B. K.; Wang, W.
Show abstract
Genetic counseling and testing for germline mutations are essential for identifying individuals at increased risk for cancer. Pathogenic variants in TP53 are diagnostic of Li-Fraumeni syndrome (LFS), a highly penetrant disorder with diverse, early-onset tumors. Current clinical guidelines, such as Chompret and Classic criteria, provide frameworks for identifying individuals at risk for likely pathogenic/pathogenic TP53 variants; however, genetic counselors often encounter patients with features concerning for LFS that do not clearly meet established criteria, creating challenges for risk assessment and testing decisions. We evaluated whether LFSPRO, a Mendelian, family-history-based model that estimates the individuals probability of harboring a deleterious TP53 variant, improves carrier identification relative to guideline criteria. In a prospectively collected cohort of 182 probands who underwent clinical genetic counseling and germline TP53 testing, LFSPRO showed superior discrimination compared with Chompret criteria, with higher sensitivity (81% vs. 33%) and specificity (88% vs. 65%) and improved predictive values (PPV 0.53 vs. 0.14; NPV 0.96 vs. 0.85). Receiver operating characteristic analysis confirmed strong discriminatory performance (AUC=0.88). Calibration analysis using observed-to-expected ratios indicated good agreement between predicted and observed carrier frequencies (Observed/Expected=1.07). These findings demonstrate that LFSPRO outperforms traditional guideline-based criteria for identifying TP53 mutation carriers in real-world clinical settings. By providing quantitative, well-calibrated carrier probabilities rather than binary classifications, LFSPRO can enhance genetic counseling and support testing decisions, particularly for individuals who do not clearly meet existing criteria.
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