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蛋白质组学分析鉴定出未特指的外周 T 细胞淋巴瘤患者的预后预测标志物。

Proteomic profiling identifies outcome-predictive markers in patients with peripheral T-cell lymphoma, not otherwise specified.

机构信息

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Department of Hematology and.

出版信息

Blood Adv. 2018 Oct 9;2(19):2533-2542. doi: 10.1182/bloodadvances.2018019893.

DOI:10.1182/bloodadvances.2018019893
PMID:30291111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6177647/
Abstract

Peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) constitutes a heterogeneous category of lymphomas, which do not fit into any of the specifically defined T-cell lymphoma entities. Both the pathogenesis and tumor biology in PTCL-NOS are poorly understood. Protein expression in pretherapeutic PTCL-NOS tumors was analyzed by proteomics. Differentially expressed proteins were compared in 3 distinct scenarios: (A) PTCL-NOS tumor tissue (n = 18) vs benign lymphoid tissue (n = 8), (B) clusters defined by principal component analysis (PCA), and (C) tumors from patients with chemosensitive vs refractory PTCL-NOS. Selected differentially expressed proteins identified by proteomics were correlated with clinico-pathological features and outcome in a larger cohort of patients with PTCL-NOS (n = 87) by immunohistochemistry (IHC). Most proteins with altered expression were identified comparing PTCL-NOS vs benign lymphoid tissue. PCA of the protein profile defined 3 distinct clusters. All benign samples clustered together, whereas PTCL-NOS tumors separated into 2 clusters with different patient overall survival rates ( = .001). Differentially expressed proteins reflected large biological diversity among PTCL-NOS, particularly associated with alterations of "immunological" pathways. The 2 PTCL-NOS subclusters defined by PCA showed disturbance of "stress-related" and "protein metabolic" pathways. α-Enolase 1 (ENO1) was found differentially expressed in all 3 analyses, and high intratumoral ENO1 expression evaluated by IHC correlated with poor outcome (hazard ratio, 2.09; 95% confidence interval, 1.17-3.73; = .013). High expression of triosephosphate isomerase (TPI1) also showed a tendency to correlate with poor survival ( = .057). In conclusion, proteomic profiling of PTCL-NOS provided evidence of markedly altered protein expression and identified ENO1 as a novel potential prognostic marker.

摘要

外周 T 细胞淋巴瘤,非特指型(PTCL-NOS)是一组异质性的淋巴瘤,无法归入任何特定定义的 T 细胞淋巴瘤实体中。PTCL-NOS 的发病机制和肿瘤生物学都知之甚少。通过蛋白质组学分析了治疗前 PTCL-NOS 肿瘤中的蛋白表达情况。将差异表达蛋白在 3 种不同的情况下进行比较:(A)PTCL-NOS 肿瘤组织(n=18)与良性淋巴组织(n=8),(B)主成分分析(PCA)定义的聚类,以及(C)来自化疗敏感和耐药性 PTCL-NOS 患者的肿瘤。通过免疫组织化学(IHC)在更大的 PTCL-NOS 患者队列(n=87)中对蛋白质组学鉴定的选定差异表达蛋白与临床病理特征和结局进行了相关性分析。通过比较 PTCL-NOS 与良性淋巴组织,确定了大多数具有改变表达的蛋白。蛋白质图谱的 PCA 定义了 3 个不同的聚类。所有良性样本聚集在一起,而 PTCL-NOS 肿瘤分为 2 个具有不同患者总生存率的聚类( =.001)。差异表达的蛋白反映了 PTCL-NOS 之间的巨大生物学多样性,特别是与“免疫”途径的改变有关。PCA 定义的 2 个 PTCL-NOS 亚聚类显示“应激相关”和“蛋白质代谢”途径的紊乱。α-烯醇化酶 1(ENO1)在所有 3 种分析中均发现差异表达,并且通过 IHC 评估的肿瘤内 ENO1 高表达与不良结局相关(危险比,2.09;95%置信区间,1.17-3.73; =.013)。三磷酸甘油醛异构酶(TPI1)的高表达也显示出与不良生存相关的趋势( =.057)。总之,PTCL-NOS 的蛋白质组学分析提供了明显改变蛋白表达的证据,并确定 ENO1 为一种新的潜在预后标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/449a/6177647/e5db364de4b7/advances019893absf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/449a/6177647/e5db364de4b7/advances019893absf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/449a/6177647/e5db364de4b7/advances019893absf1.jpg

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本文引用的文献

1
and rearrangements predict outcome of ALK-negative anaplastic large cell lymphoma: a Danish cohort study.重排可预测ALK阴性间变性大细胞淋巴瘤的预后:一项丹麦队列研究。
Blood. 2017 Jul 27;130(4):554-557. doi: 10.1182/blood-2016-12-755496. Epub 2017 May 18.
2
The 2016 revision of the World Health Organization classification of lymphoid neoplasms.《世界卫生组织淋巴组织肿瘤分类(2016年修订版)》
Blood. 2016 May 19;127(20):2375-90. doi: 10.1182/blood-2016-01-643569. Epub 2016 Mar 15.
3
The Reactome pathway Knowledgebase.Reactome通路知识库。
单细胞和空间转录组学揭示了弥漫性大B细胞淋巴瘤中一个与预后不良和免疫微环境耗竭相关的高糖酵解B细胞和肿瘤相关巨噬细胞簇。
Biomark Res. 2024 Jun 5;12(1):58. doi: 10.1186/s40364-024-00605-w.
4
Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma.蛋白质组学鉴定凋亡标记物作为滤泡性淋巴瘤患者组织学转化的预测因子。
Blood Adv. 2023 Dec 26;7(24):7418-7432. doi: 10.1182/bloodadvances.2023011299.
5
Evaluating a Panel of Autoantibodies Against Tumor-Associated Antigens in Human Osteosarcoma.评估一组针对人骨肉瘤中肿瘤相关抗原的自身抗体
Front Genet. 2022 Apr 25;13:872253. doi: 10.3389/fgene.2022.872253. eCollection 2022.
6
Alpha-Enolase (ENO1) Correlates with Invasiveness of Cutaneous Melanoma-An In Vitro and a Clinical Study.α-烯醇化酶(ENO1)与皮肤黑色素瘤侵袭性的相关性——一项体外及临床研究
Diagnostics (Basel). 2022 Jan 20;12(2):254. doi: 10.3390/diagnostics12020254.
7
Proteomic Profiling Differentiates Lymphoma Patients with and without Concurrent Myeloproliferative Neoplasia.蛋白质组学分析可区分合并或未合并骨髓增殖性肿瘤的淋巴瘤患者。
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Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7. doi: 10.1093/nar/gkv1351. Epub 2015 Dec 9.
4
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Exp Cell Res. 2015 Jul 15;335(2):216-23. doi: 10.1016/j.yexcr.2015.05.020. Epub 2015 May 27.
5
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Blood Cancer J. 2015 Mar 13;5(3):e293. doi: 10.1038/bcj.2015.18.
6
Relationship of intratumoural protein expression patterns to age and Epstein-Barr virus status in classical Hodgkin lymphoma.经典型霍奇金淋巴瘤瘤内蛋白表达模式与年龄及EB病毒状态的关系
Eur J Haematol. 2015 Aug;95(2):137-49. doi: 10.1111/ejh.12463. Epub 2014 Nov 11.
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J Clin Oncol. 2014 Sep 20;32(27):3059-68. doi: 10.1200/JCO.2013.54.8800.
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Appl Immunohistochem Mol Morphol. 2014 Sep;22(8):577-84. doi: 10.1097/PAI.0b013e3182a7d16d.
9
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Histopathology. 2014 Oct;65(4):490-500. doi: 10.1111/his.12407. Epub 2014 Apr 16.
10
The Reactome pathway knowledgebase.Reactome 通路知识库。
Nucleic Acids Res. 2014 Jan;42(Database issue):D472-7. doi: 10.1093/nar/gkt1102. Epub 2013 Nov 15.