Department of Anatomic Pathology, Chang Gung Memorial Hospital at Linko, Chang Gung University, Taiwan.
Molecular Medicine Research Center, Chang Gung University, Taiwan; Department of Neurosurgery, Chang Gung Memorial Hospital at Linko, Chang Gung University, Taiwan.
Asian J Surg. 2024 Nov;47(11):4699-4705. doi: 10.1016/j.asjsur.2024.05.121. Epub 2024 Jun 6.
Numerous studies have demonstrated a correlation between p53 overexpression and diminished survival in gastric cancer patients. However, conflicting findings exist, and we hypothesize that these discrepancies arise from the cancer's complexity and heterogeneity, coupled with a lack of consensus on aberrant p53 expression.
We enrolled a cohort of 187 patients with surgically resected gastric cancer. Patient categorization was based on Epstein-Barr virus (EBV), microsatellite instability (MSI), and Lauren classification (intestinal, diffuse and mixed). Utilizing an incremental algorithm, we evaluated p53 immunohistochemical (IHC) patterns in all 187 cases, while next-generation sequencing was successfully performed on 152 cases to identify TP53 mutations (mutTP53).
MutTP53 was identified in 32 % of the 152 cases, comprising 36 missense, 5 nonsense, and 7 frameshift alterations. Missense mutations predominantly correlated with p53 overexpression, while nonsense and frameshifting alterations related to null expression. Trial calculations indicated that null expression and a p53 IHC cutoff at >40 % offered the best prediction of mutTP53 (kappa coefficient, 0.427), with the highest agreement (0.524) observed in diffuse type and the lowest (0.269) in intestinal type. Null expression and a p53 IHC cutoff at >10 %, but not mutTP53 per se, provided the optimal prediction of survival outcome (p = 0.043), particularly in diffuse type (p = 0.044). Multivariate analysis showed that aberrant p53 IHC expression was not an independent prognostic factor.
P53 IHC patterns are predictive biomarkers for mutTP53 and gastric cancer outcomes, where a prerequisite involves a nuanced approach considering cutoff values and molecular-histologic subtyping.
大量研究表明,p53 过表达与胃癌患者生存时间缩短之间存在相关性。然而,存在相互矛盾的发现,我们假设这些差异源于癌症的复杂性和异质性,加上对异常 p53 表达缺乏共识。
我们纳入了 187 例接受手术切除的胃癌患者队列。根据 Epstein-Barr 病毒(EBV)、微卫星不稳定性(MSI)和 Lauren 分类(肠型、弥漫型和混合型)对患者进行分类。我们使用递增算法评估了所有 187 例病例的 p53 免疫组化(IHC)模式,同时对 152 例病例成功进行了下一代测序以鉴定 TP53 突变(mutTP53)。
在 152 例病例中,发现 mutTP53 占 32%,包括 36 个错义突变、5 个无义突变和 7 个移码突变。错义突变主要与 p53 过表达相关,而无义和移码突变与无表达相关。初步计算表明,无表达和 p53 IHC 截断值>40%对 mutTP53 的预测最佳(kappa 系数,0.427),在弥漫型中观察到最高的一致性(0.524),在肠型中观察到最低的一致性(0.269)。无表达和 p53 IHC 截断值>10%,而不是 mutTP53 本身,对生存结果的预测最佳(p=0.043),尤其是在弥漫型中(p=0.044)。多变量分析表明,异常 p53 IHC 表达不是独立的预后因素。
p53 IHC 模式是 mutTP53 和胃癌患者结局的预测生物标志物,前提是需要考虑截断值和分子组织学分型的细致方法。