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循环 VEGF-A、TNF-α、CCL2、IL-6 和 IFN-γ 作为癌症相关抗 TIF1-γ 抗体阳性皮肌炎中癌症的生物标志物。

Circulating VEGF-A, TNF-α, CCL2, IL-6, and IFN-γ as biomarkers of cancer in cancer-associated anti-TIF1-γ antibody-positive dermatomyositis.

机构信息

Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

出版信息

Clin Rheumatol. 2023 Mar;42(3):817-830. doi: 10.1007/s10067-022-06425-3. Epub 2022 Nov 11.

DOI:10.1007/s10067-022-06425-3
PMID:36357631
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9935732/
Abstract

OBJECTIVES

The objective of the current study was to detect plasma profiles of inflammatory cytokines for determining potential biomarkers indicating cancer presence among the anti-TIF1-γ antibody-positive dermatomyositis (DM) patients.

METHODS

Twenty-seven cancer-associated anti-TIF1-γ antibody-positive DM (Cancer TIF1-γ-DM) patients were compared with 20 anti-TIF1-γ antibody-positive DM patients without cancer (Non-cancer TIF1-γ-DM) and 10 healthy controls (HC). The plasma levels of 17 cytokines were determined using the Luminex 200 system. The ability of plasma VEGF-A, TNF-α, CCL2, IL-6, and IFN-γ levels to distinguish the presence of cancer was evaluated through the area under the curve (AUC) analysis. Potential protein interactions of TIF1-γ and the five cytokines were analyzed using the STRING database.

RESULTS

VEGF-A, TNF-α, CCL2, IL-6, and IFN-γ plasma levels were significantly higher in the Cancer TIF1-γ-DM group, especially those without any anticancer treatment, than those in the non-cancer TIF1-γ-DM and HC groups. Meanwhile, anti-TIF1-γ antibody and the five cytokines could distinguish cancer presence in anti-TIF1-γ antibody-positive DM patients. The STRING network indicated that TIF1-γ potentially interacted with the cytokines. Positive correlations of VEGF-A among CCL2, IL-6, and IFN-γ and between IFN-γ and IL-6 were observed in Cancer TIF1-γ-DM patients. VEGF-A, TNF-α, CCL2, and IL-6 were positively associated with muscle-associated enzymes among the Cancer TIF1-γ-DM patients.

CONCLUSION

The present study identified VEGF-A, TNF-α, CCL2, IL-6, and IFN-γ as significant potential biomarkers indicating the presence of cancer and demonstrated a more detailed cytokine profile during diagnosis. These biomarkers could provide better screening strategies and insight into the Cancer TIF1-γ-DM pathogenesis. Key Points • VEGF-A, TNF-α, CCL2, IL-6, and IFN-γ are potential biomarkers of cancer in cancer-associated anti-TIF1-γ antibody-positive dermatomyositis. Potential pathogenic molecular mechanism of the cancer-associated anti-TIF1-γ antibody-positive dermatomyositis.

摘要

目的

本研究旨在检测炎症细胞因子的血浆谱,以确定抗 TIF1-γ 抗体阳性皮肌炎(DM)患者中潜在的癌症存在的生物标志物。

方法

将 27 例癌症相关抗 TIF1-γ 抗体阳性 DM(Cancer TIF1-γ-DM)患者与 20 例无癌症的抗 TIF1-γ 抗体阳性 DM(Non-cancer TIF1-γ-DM)患者和 10 名健康对照(HC)进行比较。使用 Luminex 200 系统测定 17 种细胞因子的血浆水平。通过曲线下面积(AUC)分析评估血浆 VEGF-A、TNF-α、CCL2、IL-6 和 IFN-γ 水平区分癌症存在的能力。使用 STRING 数据库分析 TIF1-γ 与五种细胞因子的潜在蛋白相互作用。

结果

Cancer TIF1-γ-DM 组,特别是未经任何抗癌治疗的患者,其 VEGF-A、TNF-α、CCL2、IL-6 和 IFN-γ 血浆水平明显高于 Non-cancer TIF1-γ-DM 组和 HC 组。同时,抗 TIF1-γ 抗体和五种细胞因子可区分抗 TIF1-γ 抗体阳性 DM 患者的癌症存在。STRING 网络表明,TIF1-γ 可能与细胞因子相互作用。在 Cancer TIF1-γ-DM 患者中观察到 VEGF-A 与 CCL2、IL-6 和 IFN-γ 之间以及 IFN-γ 与 IL-6 之间的正相关。在 Cancer TIF1-γ-DM 患者中,VEGF-A、TNF-α、CCL2 和 IL-6 与肌肉相关酶呈正相关。

结论

本研究确定 VEGF-A、TNF-α、CCL2、IL-6 和 IFN-γ 为抗 TIF1-γ 抗体阳性皮肌炎中癌症存在的重要潜在生物标志物,并在诊断过程中展示了更详细的细胞因子谱。这些生物标志物可以提供更好的筛选策略,并深入了解 Cancer TIF1-γ-DM 的发病机制。关键点:

• VEGF-A、TNF-α、CCL2、IL-6 和 IFN-γ 是癌症相关抗 TIF1-γ 抗体阳性皮肌炎中的潜在癌症生物标志物。

• 癌症相关抗 TIF1-γ 抗体阳性皮肌炎的潜在发病机制的分子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/1617871f0695/10067_2022_6425_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/b36864db4bb4/10067_2022_6425_Figa_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/517c9b6c1cb1/10067_2022_6425_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/1617871f0695/10067_2022_6425_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/b36864db4bb4/10067_2022_6425_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/cd7b95a4fae6/10067_2022_6425_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/a9b899cc79bf/10067_2022_6425_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/b578f176e649/10067_2022_6425_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/517c9b6c1cb1/10067_2022_6425_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/749c/9935732/1617871f0695/10067_2022_6425_Fig5_HTML.jpg

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