Proteomic profiling identifies candidate biomarkers for small intestinal neuroendocrine tumours G1 and G2

IF 5 4区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Malin Grönberg, Dimitrios Papantoniou, Eva Tiensuu Janson
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Abstract

Although small intestinal neuroendocrine tumours (SI-NET) Grade 1 (G1) and 2 (G2) are often studied together, clinical course and response to treatment may differ. We hypothesized that these tumour groups express different markers in blood that may inform future treatment strategies. Blood from 107 SI-NET patients (G1 n = 64, G2 n = 43) and 50 healthy controls was analysed with proximity extension assay (Olink, Uppsala, Sweden). Two oncology protein panels were used. Outcomes were analysed with regression analysis and machine learning algorithms (Random Forest, Boruta). In age-adjusted analyses, 188 proteins differed between patients and healthy controls, with most being elevated in patients. Six proteins were elevated in G2 vs. G1 patients. After adjusting for age, Retbindin (RTBDN), Cryptic family protein 1 (CFC1), and Calbindin 1 (CALB1) remained significant, while adjusting for age and stage left only RTBDN significant. In a stage IV-restricted analysis, RTBDN was higher in G2 than in G1 (estimate 1.688; 95% CI 0.796–2.580; p <0.001). RTBDN and Midkine (MDK) were associated with poor survival, whereas the opposite was seen for Integrin subunit alpha V (ITGAV). RTBDN emerged as the only candidate biomarker associated with tumour grade after adjustment for age and stage in the G1/G2 analysis. In the stage IV-restricted analysis, RTBDN remained the top-ranked protein and showed a similar direction of association without reaching the strict Bonferroni-adjusted significance threshold. Higher RTBDN levels were also associated with increased mortality risk. These findings are exploratory and require independent validation before clinical application.

蛋白质组学分析确定小肠神经内分泌肿瘤G1和G2的候选生物标志物
虽然小肠神经内分泌肿瘤(SI-NET) 1级(G1)和2级(G2)经常被一起研究,但临床病程和对治疗的反应可能不同。我们假设这些肿瘤组在血液中表达不同的标记物,这可能为未来的治疗策略提供信息。采用邻近延伸法(Olink, Uppsala, Sweden)对107例SI-NET患者(G1 n = 64, G2 n = 43)和50名健康对照者的血液进行分析。使用了两个肿瘤蛋白面板。使用回归分析和机器学习算法对结果进行分析(Random Forest, Boruta)。在年龄调整后的分析中,188种蛋白质在患者和健康对照组之间存在差异,其中大多数在患者中升高。G2和G1患者中有6种蛋白升高。在调整年龄后,Retbindin (RTBDN)、Cryptic family protein 1 (CFC1)和Calbindin 1 (CALB1)仍然具有显著性,而调整年龄和分期后,只有RTBDN具有显著性。在iv期限制性分析中,G2的RTBDN高于G1(估计1.688;95% CI 0.796-2.580; p <0.001)。RTBDN和Midkine (MDK)与较差的生存率相关,而整合素亚单位α V (ITGAV)则相反。在G1/G2分析中,RTBDN是唯一与年龄和分期相关的候选生物标志物。在iv期限制性分析中,RTBDN仍然是排名最高的蛋白,并且显示出类似的关联方向,但没有达到严格的bonferroni调整的显著性阈值。较高的RTBDN水平也与死亡风险增加有关。这些发现是探索性的,在临床应用之前需要独立的验证。
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来源期刊
Journal of Neuroendocrinology
Journal of Neuroendocrinology 医学-内分泌学与代谢
CiteScore
6.40
自引率
6.20%
发文量
137
审稿时长
4-8 weeks
期刊介绍: Journal of Neuroendocrinology provides the principal international focus for the newest ideas in classical neuroendocrinology and its expanding interface with the regulation of behavioural, cognitive, developmental, degenerative and metabolic processes. Through the rapid publication of original manuscripts and provocative review articles, it provides essential reading for basic scientists and clinicians researching in this rapidly expanding field. In determining content, the primary considerations are excellence, relevance and novelty. While Journal of Neuroendocrinology reflects the broad scientific and clinical interests of the BSN membership, the editorial team, led by Professor Julian Mercer, ensures that the journal’s ethos, authorship, content and purpose are those expected of a leading international publication.
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