Brand Rhonda M, Dudley Beth, Karloski Eve, Zyhowski Ashley, Raphael Rebecca, Pitlor Danielle, Metter E Jeffrey, Pai Reet, Lee Kenneth, Brand Randall E, Uttam Shikhar
medRxiv. 2023 Mar 6:2023.03.03.23286594. doi: 10.1101/2023.03.03.23286594.
Lynch syndrome (LS) is the most common hereditary cause of colorectal cancer (CRC), increasing lifetime risk of CRC by up to 70%. Despite this higher lifetime risk, disease penetrance in LS patients is highly variable and most LS patients undergoing CRC surveillance will not develop CRC. Therefore, biomarkers that can correctly and consistently predict CRC risk in LS patients are needed to both optimize LS patient surveillance and help identify better prevention strategies that reduce risk of CRC development in the subset of high-risk LS patients.
Normal-appearing colorectal tissue biopsies were obtained during repeat surveillance colonoscopies of LS patients with and without a history of CRC, healthy controls (HC), and patients with a history of sporadic CRC. Biopsies were cultured in an explant system and their supernatants were assayed via multiplexed ELISA to profile the local immune signaling microenvironment. High quality cytokine signatures were identified using COV fidelity metric. These signatures were used to perform biomarker selection by computing their selection probability based on penalized logistic regression.
Our study demonstrated that cytokine based local immune microenvironment profiling was reproducible over repeat visits and sensitive to patient LS-status and CRC history. Furthermore, we identified sets of biomarkers whose differential expression was predictive of LS-status in patients when compared to sporadic CRC patients and in identifying those LS patients with or without a history of CRC. Enrichment analysis based on these biomarkers revealed an LS and CRC status dependent constitutive inflammatory state of the normal appearing colonic mucosa.
This prospective pilot study demonstrated that immune profiling of normal appearing colonic mucosa discriminates LS patients with a prior history of CRC from those without it, as well as patients with a history of sporadic CRC from HC. Importantly, it suggests existence of immune signatures specific to LS-status and CRC history. We anticipate that our findings have the potential to assess CRC risk in individuals with LS and help in preemptively mitigating it by optimizing surveillance and identifying candidate prevention targets. Further studies are required to validate our findings in an independent cohort of LS patients over multiple visits.
林奇综合征(LS)是结直肠癌(CRC)最常见的遗传性病因,使CRC的终生风险增加高达70%。尽管终生风险较高,但LS患者的疾病外显率差异很大,大多数接受CRC监测的LS患者不会患CRC。因此,需要能够正确且一致地预测LS患者CRC风险的生物标志物,以优化LS患者的监测,并帮助确定更好的预防策略,从而降低高危LS患者亚组中CRC发生的风险。
在对有或无CRC病史的LS患者、健康对照(HC)以及有散发性CRC病史的患者进行重复监测结肠镜检查期间,获取外观正常的结直肠组织活检样本。活检样本在体外培养系统中培养,其上清液通过多重ELISA进行检测,以分析局部免疫信号微环境。使用COV保真度指标识别高质量的细胞因子特征。通过基于惩罚逻辑回归计算其选择概率,利用这些特征进行生物标志物选择。
我们的研究表明,基于细胞因子的局部免疫微环境分析在重复就诊时具有可重复性,并且对患者的LS状态和CRC病史敏感。此外,我们确定了一些生物标志物集,与散发性CRC患者相比,其差异表达可预测患者的LS状态,并可识别有或无CRC病史的LS患者。基于这些生物标志物的富集分析揭示了外观正常的结肠黏膜存在依赖于LS和CRC状态的组成性炎症状态。
这项前瞻性初步研究表明,对外观正常的结肠黏膜进行免疫分析可区分有CRC病史的LS患者和无CRC病史的LS患者,以及有散发性CRC病史的患者和HC。重要的是,这表明存在特定于LS状态和CRC病史的免疫特征。我们预计,我们的研究结果有可能评估LS个体的CRC风险,并通过优化监测和确定候选预防靶点来帮助预先降低风险。需要进一步的研究在多个就诊时段的独立LS患者队列中验证我们的研究结果。