Neuronal Distribution in Colorectal Cancer: Associations With Clinicopathological Parameters and Survival

IF 7.1 1区 医学 Q1 PATHOLOGY Modern Pathology Pub Date : 2024-07-17 DOI:10.1016/j.modpat.2024.100565
Maartje Massen , Meike S. Thijssen , Glenn Rademakers , Musa Idris , Kim A.D. Wouters , Jaleesa R.M. van der Meer , Nikkie Buekers , Desirée Huijgen , Iryna V. Samarska , Matty P. Weijenberg , Piet A. van den Brandt , Manon van Engeland , Marion J. Gijbels , Werend Boesmans , Kim M. Smits , Veerle Melotte
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Abstract

Over the past years, insights in the cancer neuroscience field increased rapidly, and a potential role for neurons in colorectal carcinogenesis has been recognized. However, knowledge on the neuronal distribution, subtypes, origin, and associations with clinicopathological characteristics in human studies is sparse. In this study, colorectal tumor tissues from the Netherlands Cohort Study on diet and cancer (n = 490) and an in-cohort validation population (n = 529) were immunohistochemically stained for the pan-neuronal markers neurofilament (NF) and protein gene product 9.5 (PGP9.5) to study the association between neuronal marker expression and clinicopathological characteristics. In addition, tumor and healthy colon tissues were stained for neuronal subtype markers, and their immunoreactivity in colorectal cancer (CRC) stroma was analyzed. NF-positive and PGP9.5-positive nerve fibers were found within the tumor stroma and mostly characterized by the neuronal subtype markers vasoactive intestinal peptide and neuronal nitric oxide synthase, suggesting that inhibitory neurons are the most prominent neuronal subtype in CRC. NF and PGP9.5 protein expression were not consistently associated with tumor stage, sublocation, differentiation grade, and median survival. NF immunoreactivity was associated with a worse CRC-specific survival in the study cohort (P = .025) independent of other prognostic factors (hazard ratio, 2.31; 95% CI, 1.33-4.03; P = .003), but these results were not observed in the in-cohort validation group. PGP9.5, in contrast, was associated with a worse CRC-specific survival in the in-cohort validation (P = .046) but not in the study population. This effect disappeared in multivariate analyses (hazard ratio, 0.81; 95% CI, 0.50-1.32; P = .393), indicating that this effect was dependent on other prognostic factors. This study demonstrates that the tumor stroma of CRC patients mainly harbors inhibitory neurons and that NF as a single marker is significantly associated with a poorer CRC-specific survival in the study cohort but necessitates future validation.

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结直肠癌中的神经元分布:与临床病理参数和生存期的关系
过去几年中,癌症神经科学领域的研究成果迅速增加,神经元在结直肠癌发生过程中的潜在作用已得到认可。然而,关于神经元的分布、亚型、起源以及与临床病理特征之间的关系的人类研究还很少。在这项研究中,对来自荷兰饮食与癌症队列研究(Netherlands Cohort Study on diet and cancer,n=490)和队列内验证人群(n=529)的结直肠肿瘤组织进行免疫组化染色,检测泛神经元标记物神经丝(NF)和蛋白基因产物 9.5(PGP9.5),以研究神经元标记物表达与临床病理特征之间的关联。此外,还对肿瘤和健康结肠组织进行了神经元亚型标记物染色,并分析了它们在结直肠癌(CRC)基质中的免疫反应。在肿瘤基质中发现了NF和PGP9.5阳性神经纤维,它们主要以神经元亚型标志物血管活性肠蛋白(VIP)和神经元一氧化氮合酶(nNOS)为特征,表明抑制性神经元是CRC中最主要的神经元亚型。NF和PGP9.5蛋白的表达与肿瘤分期、亚定位、分化分级和中位生存期的关系并不一致。在研究队列中,NF免疫反应与较差的CRC特异性生存率相关(P=0.025),与其他预后因素无关(HR=2.31;95% CI 1.33-4.03;P=0.003),但在队列内验证组中未观察到这些结果。另一方面,在队列内验证组中,PGP9.5 与较差的 CRC 特异性生存率相关(p=0.046),但在研究人群中却不相关。这种效应在多变量分析中消失了(HR=0.81;95% CI 0.50-1.32;p=0.393),表明这种效应取决于其他预后因素。这项研究表明,在研究队列中,CRC 患者的肿瘤基质主要含有抑制性神经元,而 NF 作为单一标记物与较差的 CRC 特异性生存率显著相关,但还需要未来的验证。
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来源期刊
Modern Pathology
Modern Pathology 医学-病理学
CiteScore
14.30
自引率
2.70%
发文量
174
审稿时长
18 days
期刊介绍: Modern Pathology, an international journal under the ownership of The United States & Canadian Academy of Pathology (USCAP), serves as an authoritative platform for publishing top-tier clinical and translational research studies in pathology. Original manuscripts are the primary focus of Modern Pathology, complemented by impactful editorials, reviews, and practice guidelines covering all facets of precision diagnostics in human pathology. The journal's scope includes advancements in molecular diagnostics and genomic classifications of diseases, breakthroughs in immune-oncology, computational science, applied bioinformatics, and digital pathology.
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