预测炎症性肠病早期诊断及其向结直肠癌发展的生物标志物的鉴定和验证。

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Farhat Khan, Naaziyah Abdulla, Thea-Leonie du Plessis, Kay Karlsson, Peter Barrow, Brendan Bebington, Liang Gu, Mandeep Kaur
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引用次数: 0

摘要

随着发病率的不断上升,炎症性肠病(IBD)已成为一个常见的全球性健康问题。它通常与结肠直肠癌(CRC)发病风险增加有关。目前基于 IBD 生物标志物的诊断存在局限性,妨碍了早期检测 CRC 进展的准确性。因此,在本研究中,我们提出使用基于转录因子(TF)的生物标志物,以潜在地检测 IBD 向 CRC 的转变。我们进行了各种生物信息学分析、在线数据库验证和 RT-qPCR 验证,以确定可能的诊断性 TF。研究发现,RUNX1 是一种很有前景的 TF,它调控着 106 个 IBD/CRC 相关基因。将 RUNX1 与目前已知的 IBD 生物标记物 FEV + NFKB1 + RELA 结合使用,灵敏度和特异度分别达到 99% 和 87%,而将 RUNX1 与已知的 CRC 标记物 CEA + TIMP1 + CA724 + CA199 结合使用,灵敏度和特异度分别达到 97% 和 99%。此外,一项基于 RT-qPCR 的小型试验分析证实,与 CRC 患者的组织样本相比,IBD 患者的 CA724、CEA、RUNX1 和 TIMP1 的表达谱发生了明显变化。具体来说,CA724 在 IBD 患者中明显升高,而 CEA、RUNX1 和 TIMP1 的水平则可能是用于鉴别 IBD 向 CRC 演变的基因。因此,这些初步结果一旦在大型患者队列中得到验证,就有可能对 CRC 疾病分层产生重大影响,从而对治疗和治疗结果做出更精确的预测,尤其是在南非患者中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and Validation of Biomarkers to Predict Early Diagnosis of Inflammatory Bowel Disease and Its Progression to Colorectal Cancer.

Inflammatory bowel disease (IBD) has become a common global health problem as prevalence continues to rise. It is often associated with increased risk of colorectal cancer (CRC) development. Limitations in current IBD biomarker-based diagnosis hinder the accuracy of early detection of CRC progression. Therefore, in this study, we proposed the use of transcription factor (TF)-based biomarkers that can potentially detect the transition of IBD to CRC. Various bioinformatic analysis and online database validations, and RT-qPCR validations were performed to identify possible diagnostic TFs. RUNX1 was identified as a promising TF that regulates 106 IBD/CRC-related genes. The incorporation of RUNX1 in combination with currently known IBD biomarkers, FEV + NFKB1 + RELA, achieved a comparable sensitivity and specificity scores of 99% and 87%, respectively, while RUNX1 in combination with known CRC markers, CEA + TIMP1 + CA724 + CA199, achieved a sensitivity and specificity score of 97% and 99%, respectively. Furthermore, a small pilot RT-qPCR-based analysis confirmed a demarcated shift in expression profiles in CA724, CEA, RUNX1 and TIMP1 in IBD patients compared to CRC patients' tissue samples. Specifically, CA724 is noticeably elevated in IBD, while the levels of CEA, RUNX1 with TIMP1 are probable genes that may be employed in discerning IBD progression to CRC. Therefore, these preliminary results once validated in large patient cohorts could potentially have a significant impact on CRC disease stratification, resulting in a more precise prediction for treatment and treatment outcomes, especially in South African patients.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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