Determining the N-Glycan and Collagen/Extracellular Matrix Protein Compositions in a Novel Outcome Cohort of Prostate Cancer Tissue Microarrays Using MALDI-MSI.

IF 2 Q3 ONCOLOGY
Jordan P Hartig, Kaitlyn Bejar, Lyndsay E A Young, Grace Grimsley, Jennifer R Bethard, Dean A Troyer, Javier Hernandez, Jennifer D Wu, Joseph E Ippolito, Lauren E Ball, Jonathan A L Gelfond, Teresa L Johnson-Pais, Anand S Mehta, Robin J Leach, Peggi M Angel, Richard R Drake
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引用次数: 0

Abstract

Significance: Using matrix-assisted laser desorption/ionization mass spectrometry imaging techniques on a unique cohort of prostate cancer tissues, we highlighted several molecular characteristics of matrix that have potential to act as early predictors of prostate cancer metastasis.

利用 MALDI-MSI 确定前列腺癌组织芯片新结果队列中的 N-糖和胶原蛋白/细胞外基质蛋白组成
前列腺癌是一个重大的健康问题,其转移带来了重大的临床挑战,并导致患者预后不佳。尽管筛查和治疗取得了进展,但在前列腺切除术时预测前列腺癌进展的新型生物标记物的需求仍然十分迫切。在这里,我们评估了异常 N-糖基化模式和细胞外基质蛋白的改变,将其作为预测前列腺癌严重程度的潜在生物标志物。组织微阵列切片来自原发性前列腺切除术标本,这些标本根据 >5 年的疾病进展结果分为 "无疾病证据 (NED)" 和 "转移 (MET) "两类。通过序列质谱成像技术分析了福尔马林固定石蜡包埋核心中的 N-聚糖和细胞外基质(ECM)成分。结果发现,与 NED 组织相比,MET 组织中的双链和多链核岩藻糖基化 N-聚糖明显上调。在 NED 和 MET 组群中均观察到 ECM 成分的改变,尤其是胶原种类和羟脯氨酸含量的改变。结果表明,前列腺癌组织中 ECM 蛋白质和糖基化含量的协调变化可预测前列腺切除术后的疾病进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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