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miRNA 和淋巴细胞亚群作为胃癌诊断和预后潜在生物标志物的研究。

Study of miRNA and lymphocyte subsets as potential biomarkers for the diagnosis and prognosis of gastric cancer.

机构信息

Department of Laboratory Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

出版信息

PeerJ. 2024 Jan 19;12:e16660. doi: 10.7717/peerj.16660. eCollection 2024.

DOI:10.7717/peerj.16660
PMID:38259671
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10802158/
Abstract

OBJECTIVE

The aim of this study was to identify the expression of miRNA and lymphocyte subsets in the blood of gastric cancer (GC) patients, elucidate their clinical significance in GC, and establish novel biomarkers for the early diagnosis and prognosis of GC.

METHODS

The expression of miRNAs in the serum of GC patients was screened using second-generation sequencing and detected using qRT-PCR. The correlation between miRNA expression and clinicopathological characteristics of GC patients was analyzed, and molecular markers for predicting cancer were identified. Additionally, flow cytometry was used to detect the proportion of lymphocyte subsets in GC patients compared to healthy individuals. The correlations between differential lymphocyte subsets, clinicopathological features of GC patients, and their prognosis were analyzed statistically.

RESULTS

The study revealed that hsa-miR-1306-5p, hsa-miR-3173-5p, and hsa-miR-296-5p were expressed at lower levels in the blood of GC patients, which is consistent with miRNA-seq findings. The AUC values of hsa-miR-1306-5p, hsa-miR-3173-5p, and hsa-miR-296-5p were found to be effective predictors of GC occurrence. Additionally, hsa-miR-296-5p was found to be negatively correlated with CA724. Furthermore, hsa-miR-1306-5p, hsa-miR-3173-5p, and hsa-miR-296-5p were found to be associated with the stage of the disease and were closely linked to the clinical pathology of GC. The lower the levels of these miRNAs, the greater the clinical stage of the tumor and the worse the prognosis of gastric cancer patients. Finally, the study found that patients with GC had lower absolute numbers of CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and lymphocytes compared to healthy individuals. The quantity of CD4+ T lymphocytes and the level of the tumor marker CEA were shown to be negatively correlated. The ROC curve and multivariate logistic regression analysis demonstrated that lymphocyte subsets can effectively predict gastric carcinogenesis and prognosis.

CONCLUSION

These miRNAs such as hsa-miR-1306-5p, hsa-miR-3173-5p, hsa-miR-296-5p and lymphocyte subsets such as the absolute numbers of CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, lymphocytes are down-regulated in GC and are closely related to the clinicopathological characteristics and prognosis of GC patients. They may serve as new molecular markers for predicting the early diagnosis and prognosis of GC patients.

摘要

目的

本研究旨在鉴定胃癌(GC)患者血液中 miRNA 和淋巴细胞亚群的表达,阐明其在 GC 中的临床意义,并建立 GC 早期诊断和预后的新型生物标志物。

方法

采用第二代测序筛选 GC 患者血清中的 miRNA 表达,并采用 qRT-PCR 进行检测。分析 miRNA 表达与 GC 患者临床病理特征的相关性,鉴定预测癌症的分子标志物。此外,采用流式细胞术检测 GC 患者与健康个体相比淋巴细胞亚群的比例。统计分析差异淋巴细胞亚群与 GC 患者临床病理特征及其预后的相关性。

结果

本研究表明,GC 患者血液中 hsa-miR-1306-5p、hsa-miR-3173-5p 和 hsa-miR-296-5p 的表达水平较低,这与 miRNA-seq 结果一致。hsa-miR-1306-5p、hsa-miR-3173-5p 和 hsa-miR-296-5p 的 AUC 值被发现是 GC 发生的有效预测因子。此外,hsa-miR-296-5p 与 CA724 呈负相关。此外,hsa-miR-1306-5p、hsa-miR-3173-5p 和 hsa-miR-296-5p 与疾病分期有关,与 GC 的临床病理密切相关。这些 miRNA 水平越低,肿瘤的临床分期越高,胃癌患者的预后越差。最后,研究发现 GC 患者的 CD3+T 细胞、CD4+T 细胞、CD8+T 细胞、CD19+B 细胞和淋巴细胞绝对值均低于健康个体。CD4+T 淋巴细胞数量与肿瘤标志物 CEA 水平呈负相关。ROC 曲线和多因素 logistic 回归分析表明,淋巴细胞亚群可有效预测胃癌的发生和预后。

结论

hsa-miR-1306-5p、hsa-miR-3173-5p、hsa-miR-296-5p 等 miRNA 以及 CD3+T 细胞、CD4+T 细胞、CD8+T 细胞、CD19+B 细胞、淋巴细胞等淋巴细胞亚群在 GC 中下调,与 GC 患者的临床病理特征和预后密切相关。它们可能成为预测 GC 患者早期诊断和预后的新型分子标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/5355e34ff7b6/peerj-12-16660-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/f661d7a32c6c/peerj-12-16660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/bd209d69f2e7/peerj-12-16660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/411ad3c6c85b/peerj-12-16660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/a3827575e4b4/peerj-12-16660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/5355e34ff7b6/peerj-12-16660-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/f661d7a32c6c/peerj-12-16660-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/bd209d69f2e7/peerj-12-16660-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/411ad3c6c85b/peerj-12-16660-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/a3827575e4b4/peerj-12-16660-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae02/10802158/5355e34ff7b6/peerj-12-16660-g005.jpg

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