2024 Asia Conference on Lung Cancer (ACLC) - Poster & ePosters-PP02.20

PP02.20 - Di Jiting

Pdf Summary

This study investigates the relationship between high P53 expression and TP53 mutations in stage I lung adenocarcinoma, along with their potential to predict postoperative recurrence within a five-year period. The research highlights that TP53 gene mutations are common and significantly influence lung adenocarcinoma progression, often assessed indirectly via P53 expression through immunohistochemistry (IHC). However, a precise threshold for defining high P53 expression indicative of TP53 mutations is not established.<br /><br />The study involved 191 patients with Stage I lung adenocarcinoma, whose tissue samples underwent TP53 gene next-generation sequencing (NGS) and P53 IHC. A receiver operating characteristic (ROC) analysis was used to establish the optimal threshold for P53 high expression linked to TP53 mutations, with an area under the curve (AUC) indicating its predictive ability. <br /><br />Results reveal substantial consistency between TP53 mutations and P53 high expression when a 40% threshold is used, shown by a kappa value of 0.745. Both high P53 expression and TP53 mutations correlate with a higher risk of postoperative recurrence. Interestingly, combining P53 high expression with TP53 mutation does not significantly enhance predictive sensitivity and specificity compared to using them individually.<br /><br />The study categorized TP53 mutations by occurrence—missense was the most frequent at 69%—and location, with exon 7 and 8 mutations being notable. The predictive power of using P53 high expression alone showed a sensitivity of 65.2% and specificity of around 79-80%; while using both markers (P53 high expression or TP53 mutation) yielded slightly better outcomes in some metrics.<br /><br />Overall, the research underscores the predictive value of P53 high expression and TP53 mutations for postoperative recurrence in lung adenocarcinoma, though combined assessment may not offer superior advantages.

Keywords

P53 expression

TP53 mutations

lung adenocarcinoma

postoperative recurrence

immunohistochemistry

next-generation sequencing

receiver operating characteristic

predictive sensitivity

missense mutations

exon mutations