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通过邻位延伸分析发现新型胶质瘤血清生物标志物。

Discovery of novel glioma serum biomarkers by proximity extension assay.

作者信息

Ghorbani Atefeh, Avery Lisa M, Sohaei Dorsa, Soosaipillai Andrea, Richer Maxime, Horbinski Craig, McCortney Katy, Xu Wei, Diamandis Eleftherios P, Prassas Ioannis

机构信息

Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.

Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.

出版信息

Clin Proteomics. 2023 Mar 24;20(1):12. doi: 10.1186/s12014-023-09400-5.

Abstract

BACKGROUND

Gliomas are among the most malignant tumors, with a very poor prognosis. Early diagnosis is highly desirable since it can help implement more effective treatments for smaller tumors, which have not yet extensively metastasized. Improving early diagnosis may facilitate access of patients to clinical trials and prepare them for the future availability of new disease-modifying treatments.

METHODS

We analyzed retrospective samples collected at diagnosis (before therapy initiation), with PEA (Olink Proteomics), quantifying about 3000 proteins. We utilized 30 plasmas from gliomas (20 glioblastomas, 5 anaplastic astrocytomas, 5 anaplastic oligodendrogliomas) and 20 meningiomas (as controls). We then analyzed the data to identify proteins which either alone, or in combination, could discriminate gliomas from meningiomas, or correlate with clinical and molecular alterations.

RESULTS

We identified 8 plasma proteins which were increased in gliomas vs. meningiomas (GFAP, NEFL, EDDM3B, PROK1, MMP3, CTRL, GP2, SPINT3) and 4 proteins which were decreased in gliomas vs. meningiomas (FABP4, ALDH3A1, IL-12B and OXT). Partition algorithms and logistic regression algorithms with two biomarkers (GFAP and FABP4) achieved sensitivity of 83% and 93% at 100% and 90% specificity, respectively. The strongest single marker was GFAP with an area under the ROC curve (AUC) of 0.86. The AUC for the GFAP-FABP4 combination was 0.98.

CONCLUSION

PEA is a powerful new proteomic technology for biomarker discovery. GFAP and a handful of other plasma biomarkers may be useful for early glioma detection and probably, prognosis.

STATEMENT

Detecting gliomas as early as possible is highly desirable since it can significantly improve the chances of effective treatments. Reliable glioma biomarkers can timely inform glioma patients about the efficacy of their prescribed treatment. Our results reveal some novel putative glioma markers that may prove valuable, when used alone or in combination, towards improved clinical care of gliomas. In order to better appreciate the potential usefulness of these markers, their performance needs to be further validated in a larger cohort of samples.

摘要

背景

胶质瘤是最恶性的肿瘤之一,预后很差。早期诊断非常必要,因为它有助于对尚未广泛转移的较小肿瘤实施更有效的治疗。改善早期诊断可能有助于患者进入临床试验,并为他们未来接受新的疾病改善治疗做好准备。

方法

我们分析了诊断时(治疗开始前)收集的回顾性样本,采用PEA(Olink蛋白质组学)对约3000种蛋白质进行定量分析。我们使用了30份胶质瘤血浆样本(20份胶质母细胞瘤、5份间变性星形细胞瘤、5份间变性少突胶质细胞瘤)和20份脑膜瘤血浆样本(作为对照)。然后我们分析数据,以确定单独或联合使用时能够区分胶质瘤和脑膜瘤,或与临床及分子改变相关的蛋白质。

结果

我们鉴定出8种在胶质瘤中相对于脑膜瘤表达增加的血浆蛋白(胶质纤维酸性蛋白、神经丝轻链、EDDM3B、前动力蛋白1、基质金属蛋白酶3、对照蛋白、糖蛋白2、丝氨酸蛋白酶抑制剂Kazal型3)和4种在胶质瘤中相对于脑膜瘤表达降低的蛋白(脂肪酸结合蛋白4、醛脱氢酶3A1、白细胞介素12B和催产素)。使用两种生物标志物(胶质纤维酸性蛋白和脂肪酸结合蛋白4)的分区算法和逻辑回归算法在特异性分别为100%和90%时,灵敏度分别达到83%和93%。最强的单一标志物是胶质纤维酸性蛋白,其ROC曲线下面积(AUC)为0.86。胶质纤维酸性蛋白 - 脂肪酸结合蛋白4组合的AUC为0.98。

结论

PEA是一种用于发现生物标志物的强大的新蛋白质组学技术。胶质纤维酸性蛋白和其他一些血浆生物标志物可能有助于早期胶质瘤检测,也可能有助于判断预后。

声明

尽早检测出胶质瘤非常必要,因为这可以显著提高有效治疗的几率。可靠的胶质瘤生物标志物可以及时告知胶质瘤患者其规定治疗的疗效。我们的结果揭示了一些新的假定胶质瘤标志物,单独或联合使用时,可能对改善胶质瘤的临床治疗有价值。为了更好地评估这些标志物的潜在用途,需要在更大的样本队列中进一步验证它们的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e530/10037798/22c3d026c76d/12014_2023_9400_Fig1_HTML.jpg

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