Ianole Victor, Danciu Mihai, Volovat Constantin, Stefanescu Cipriana, Herghelegiu Paul-Corneliu, Leon Florin, Iftene Adrian, Cusmuliuc Ciprian-Gabriel, Toma Bogdan, Drug Vasile, Ciobanu Apostol Delia Gabriela
Pathology Department, Grigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.
Sf. Spiridon Emergency Clinical Hospital Iasi, 700111 Iasi, Romania.
Cancers (Basel). 2022 Jun 13;14(12):2915. doi: 10.3390/cancers14122915.
The need for predictive and prognostic biomarkers in colorectal carcinoma (CRC) brought us to an era where the use of artificial intelligence (AI) models is increasing. We investigated the expression of Claudin-7, a tight junction component, which plays a crucial role in maintaining the integrity of normal epithelial mucosa, and its potential prognostic role in advanced CRCs, by drawing a parallel between statistical and AI algorithms.
Claudin-7 immunohistochemical expression was evaluated in the tumor core and invasion front of CRCs from 84 patients and correlated with clinicopathological parameters and survival. The results were compared with those obtained by using various AI algorithms.
the Kaplan-Meier univariate survival analysis showed a significant correlation between survival and Claudin-7 intensity in the invasive front ( = 0.00), a higher expression being associated with a worse prognosis, while Claudin-7 intensity in the tumor core had no impact on survival. In contrast, AI models could not predict the same outcome on survival.
The study showed through statistical means that the immunohistochemical overexpression of Claudin-7 in the tumor invasive front may represent a poor prognostic factor in advanced stages of CRCs, contrary to AI models which could not predict the same outcome, probably because of the small number of patients included in our cohort.
结直肠癌(CRC)对预测性和预后生物标志物的需求使我们进入了一个人工智能(AI)模型使用日益增加的时代。我们通过对比统计算法和人工智能算法,研究了紧密连接成分Claudin-7的表达,其在维持正常上皮黏膜完整性方面起着关键作用,以及它在晚期结直肠癌中的潜在预后作用。
对84例结直肠癌患者肿瘤核心和浸润前沿的Claudin-7免疫组化表达进行评估,并与临床病理参数和生存率相关联。将结果与使用各种人工智能算法获得的结果进行比较。
Kaplan-Meier单变量生存分析显示,浸润前沿的生存率与Claudin-7强度之间存在显著相关性(P = 0.00),表达越高预后越差,而肿瘤核心的Claudin-7强度对生存率没有影响。相比之下,人工智能模型无法预测相同的生存结果。
该研究通过统计方法表明,肿瘤浸润前沿Claudin-7的免疫组化过表达可能是晚期结直肠癌的不良预后因素,这与人工智能模型不同,后者无法预测相同结果,可能是因为我们队列中的患者数量较少。