Feleke Dereje G, Montalban Bryan M, Gizaw Solomon T, Hinou Hiroshi
Laboratory of Advanced Chemical Biology, Graduate School of Life Science, Hokkaido University, Sapporo 001-0021, Japan.
Department of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Manila, Padre Faura St., Manila 1000, Philippines.
Int J Mol Sci. 2025 May 22;26(11):4968. doi: 10.3390/ijms26114968.
Breast cancer (BC) is a major global health concern, and early detection is key to improving patient outcomes. Aberrant glycosylation, particularly the sulfation of glycans, is implicated in cancer progression; however, analyzing these low-abundance glycans is challenging. This study aimed to profile serum sulfated N-glycans in Ethiopian patients with BC to identify novel biomarkers for the early detection of BC. Using a glycoblotting-based sulphoglycomics workflow, including high-throughput glycoblotting enrichment, weak anion exchange (WAX) separation, and MALDI-TOF MS, serum samples from 76 BC patients and 20 healthy controls were analyzed. Statistical evaluation revealed significant differences in the sulfated N-glycan profiles. Seven mono-sulfated N-glycans were markedly elevated in patients with BC, demonstrating high diagnostic accuracy (AUC ≥ 0.8) in this internal cohort. Terminal Lewis-type glycan epitopes were prominent in sulfated glycans but were absent in their non-sulfated counterparts. The increased fucosylation and sialylation of sulfated glycans are statistically significant markers of early-stage BC. The preservation of sialic acid groups during the analysis ensured detailed structural insight. This pioneering study quantitatively examined sulfated N-glycans in BC and identified potential glyco-biomarkers for early detection. Validation in larger, diverse cohorts is needed to establish their broader diagnostic relevance and improve our understanding of cancer-associated glycomic alterations.
乳腺癌(BC)是全球主要的健康问题,早期检测是改善患者预后的关键。异常糖基化,尤其是聚糖的硫酸化,与癌症进展有关;然而,分析这些低丰度聚糖具有挑战性。本研究旨在分析埃塞俄比亚乳腺癌患者血清中的硫酸化N-聚糖,以确定用于早期检测乳腺癌的新型生物标志物。使用基于糖印迹的硫酸化糖组学工作流程,包括高通量糖印迹富集、弱阴离子交换(WAX)分离和基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS),对76例乳腺癌患者和20例健康对照的血清样本进行了分析。统计评估显示硫酸化N-聚糖谱存在显著差异。7种单硫酸化N-聚糖在乳腺癌患者中显著升高,在这个内部队列中显示出高诊断准确性(曲线下面积≥0.8)。末端Lewis型聚糖表位在硫酸化聚糖中很突出,但在非硫酸化聚糖中不存在。硫酸化聚糖岩藻糖基化和唾液酸化增加是早期乳腺癌的统计学显著标志物。分析过程中唾液酸基团的保留确保了详细的结构洞察。这项开创性研究定量检测了乳腺癌中的硫酸化N-聚糖,并确定了用于早期检测的潜在糖生物标志物。需要在更大、更多样化的队列中进行验证,以确定它们更广泛的诊断相关性,并增进我们对癌症相关糖组学改变的理解。