Comparative microRNA signatures based on liquid biopsy to identify lymph node metastasis in T1 colorectal cancer patients undergoing upfront surgery or endoscopic resection.

IF 7 2区 生物学 Q1 CELL BIOLOGY Cell Death Discovery Pub Date : 2025-02-20 DOI:10.1038/s41420-025-02348-5
Kazuaki Okamoto, Hiroaki Nozawa, Tsuyoshi Ozawa, Yoko Yamamoto, Yuichiro Yokoyama, Shigenobu Emoto, Koji Murono, Kazuhito Sasaki, Mitsuhiro Fujishiro, Soichiro Ishihara
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Abstract

After endoscopic resection of T1 colorectal cancer (CRC) with a high risk of lymph node metastasis (LNM), additional surgery is required. However, the actual frequency of LNM based on conventional risk factors is less than 16%. There is a need for biomarkers to identify T1 CRC carrying a high risk of metastasis to avoid unnecessary radical surgery. Based on the comparison of serum miRNA between stage I/II and stage III from a large-scale in silico dataset, we conducted a validation analysis of the selected miRNAs using plasma samples from LNM-positive and LNM-negative T1 CRC patients who underwent endoscopic treatment followed by radical surgery at our hospital. In the validation cohort, the three-miRNA classifiers (miR-195-5p, miR-221-3p, and miR-193b-3p) effectively identified LNM-positive T1 CRC patients who received upfront surgery with an area under the curve (AUC) value of 0.74. Moreover, in T1 CRC patients after endoscopic resection, miR-195-5p and miR-221-3p were able to predict LNM with an AUC of 0.74. Plasma miRNA signatures may serve as effective predictors for LNM in T1 CRC both before upfront surgery and after endoscopic resection.

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基于液体活检的比较microRNA特征识别T1名接受前期手术或内镜切除的结直肠癌患者的淋巴结转移
内镜下切除T1型淋巴结转移高危结直肠癌(CRC)后,需行额外手术治疗。然而,基于传统危险因素的LNM的实际发生频率不到16%。为了避免不必要的根治性手术,需要生物标志物来识别转移风险高的T1 CRC。基于来自大规模计算机数据集的I/II期和III期血清miRNA的比较,我们对在我院接受内镜治疗和根治性手术的lnm阳性和lnm阴性T1 CRC患者的血浆样本进行了选定miRNA的验证分析。在验证队列中,三个mirna分类器(miR-195-5p, miR-221-3p和miR-193b-3p)有效地识别了接受前期手术的lnm阳性T1 CRC患者,曲线下面积(AUC)值为0.74。此外,在内镜切除的T1 CRC患者中,miR-195-5p和miR-221-3p能够预测LNM, AUC为0.74。血浆miRNA特征可以作为T1 CRC术前和内镜切除后LNM的有效预测因子。
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来源期刊
Cell Death Discovery
Cell Death Discovery Biochemistry, Genetics and Molecular Biology-Cell Biology
CiteScore
8.30
自引率
1.40%
发文量
468
审稿时长
9 weeks
期刊介绍: Cell Death Discovery is a multidisciplinary, international, online-only, open access journal, dedicated to publishing research at the intersection of medicine with biochemistry, pharmacology, immunology, cell biology and cell death, provided it is scientifically sound. The unrestricted access to research findings in Cell Death Discovery will foster a dynamic and highly productive dialogue between basic scientists and clinicians, as well as researchers in industry with a focus on cancer, neurobiology and inflammation research. As an official journal of the Cell Death Differentiation Association (ADMC), Cell Death Discovery will build upon the success of Cell Death & Differentiation and Cell Death & Disease in publishing important peer-reviewed original research, timely reviews and editorial commentary. Cell Death Discovery is committed to increasing the reproducibility of research. To this end, in conjunction with its sister journals Cell Death & Differentiation and Cell Death & Disease, Cell Death Discovery provides a unique forum for scientists as well as clinicians and members of the pharmaceutical and biotechnical industry. It is committed to the rapid publication of high quality original papers that relate to these subjects, together with topical, usually solicited, reviews, editorial correspondence and occasional commentaries on controversial and scientifically informative issues.
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