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泛癌症 ABI1 转录变体和分子组成元件的转录组数据确定了新的癌症转移和预后生物标志物。

Pan-cancer transcriptomic data of ABI1 transcript variants and molecular constitutive elements identifies novel cancer metastatic and prognostic biomarkers.

机构信息

Department of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.

Department of Gastroenterology, Peking University People's Hospital, Beijing, China.

出版信息

Cancer Biomark. 2024;39(1):49-62. doi: 10.3233/CBM-220348.

Abstract

BACKGROUND

Abelson interactor 1 (ABI1) is associated with the metastasis and prognosis of many malignancies. The association between ABI1 transcript spliced variants, their molecular constitutive exons and exon-exon junctions (EEJs) in 14 cancer types and clinical outcomes remains unsolved.

OBJECTIVE

To identify novel cancer metastatic and prognostic biomarkers from ABI1 total mRNA, TSVs, and molecular constitutive elements.

METHODS

Using data from TCGA and TSVdb database, the standard median of ABI1 total mRNA, TSV, exon, and EEJ expression was used as a cut-off value. Kaplan-Meier analysis, Chi-squared test (X2) and Kendall's tau statistic were used to identify novel metastatic and prognostic biomarkers, and Cox regression analysis was performed to screen and identify independent prognostic factors.

RESULTS

A total of 35 ABI1-related factors were found to be closely related to the prognosis of eight candidate cancer types. A total of 14 ABI1 TSVs and molecular constitutive elements were identified as novel metastatic and prognostic biomarkers in four cancer types. A total of 13 ABI1 molecular constitutive elements were identified as independent prognostic biomarkers in six cancer types.

CONCLUSIONS

In this study, we identified 14 ABI1-related novel metastatic and prognostic markers and 21 independent prognostic factors in total 8 candidate cancer types.

摘要

背景

Abelson 相互作用蛋白 1(ABI1)与多种恶性肿瘤的转移和预后相关。ABI1 转录剪接变体及其分子组成外显子和外显子-内含子交界处(EEJs)在 14 种癌症类型中的关联及其与临床结局的关系尚未解决。

目的

从 ABI1 总 mRNA、TSVs 和分子组成元件中鉴定新型癌症转移和预后生物标志物。

方法

使用 TCGA 和 TSVdb 数据库中的数据,将 ABI1 总 mRNA、TSV、外显子和 EEJ 表达的标准中位数用作截断值。采用 Kaplan-Meier 分析、卡方检验(X2)和 Kendall's tau 统计分析来鉴定新型转移和预后生物标志物,并进行 Cox 回归分析来筛选和鉴定独立的预后因素。

结果

共发现 35 个与八种候选癌症类型的预后密切相关的 ABI1 相关因素。在四种癌症类型中,共鉴定出 14 个 ABI1 TSVs 和分子组成元件作为新型转移和预后生物标志物。在六种癌症类型中,共鉴定出 13 个 ABI1 分子组成元件作为独立的预后生物标志物。

结论

在这项研究中,我们在总共 8 种候选癌症类型中鉴定出 14 个与 ABI1 相关的新型转移和预后标志物和 21 个独立的预后因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/097f/10977443/b46f9e86d052/cbm-39-cbm220348-g001.jpg

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