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基于样本内相对表达顺序的胰腺导管腺癌定性诊断特征。

Qualitative diagnostic signature for pancreatic ductal adenocarcinoma based on the within-sample relative expression orderings.

机构信息

Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, The School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.

出版信息

J Gastroenterol Hepatol. 2021 Jun;36(6):1714-1720. doi: 10.1111/jgh.15326. Epub 2020 Nov 27.

DOI:10.1111/jgh.15326
PMID:33150986
Abstract

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) accounts for about 90% of pancreatic cancer, which is one of the most aggressive malignant neoplasms with a 9.3% five-year survival rate. The pathological biopsy is the current golden standard for confirming suspicious lesions of PDAC, but it is not entirely reliable because of the insufficient sampling amount and inaccurate sampling location. Therefore, developing a robust signature to aid the accurate diagnosis of PDAC is critical.

METHODS

Based on the within-sample relative expression orderings of gene pairs, we identified a qualitative signature to discriminate both PDAC and adjacent samples from both chronic pancreatitis and normal samples in the training datasets and validated it in other independent datasets produced by different laboratories with different measuring platforms.

RESULTS

A six-gene-pair signature was identified in the training data and validated in eight independent datasets. For surgical samples, 96.63% of 356 PDAC tissues, 100% of 11 pancreatitis tissues of non-cancer patients, and 23 of 24 normal pancreatic tissues were correctly classified. Especially, 59 of 60 cancer-adjacent normal tissues of PDAC patients were correctly identified as PDAC. For biopsy samples, all of 11 PDAC biopsy tissues were correctly classified as PDAC.

CONCLUSION

The signature can distinguish both PDAC and PDAC-adjacent normal tissues from both chronic pancreatitis and normal tissues of non-cancer patients even when the sampling locations are inaccurate, which can aid the diagnosis of PDAC.

摘要

背景

胰腺导管腺癌(PDAC)约占胰腺癌的 90%,是最具侵袭性的恶性肿瘤之一,五年生存率为 9.3%。病理活检是目前确认 PDAC 疑似病变的金标准,但由于取样量不足和取样位置不准确,其并非完全可靠。因此,开发一种稳健的特征来辅助 PDAC 的准确诊断至关重要。

方法

基于基因对的样本内相对表达顺序,我们确定了一种定性特征,以区分训练数据集中的 PDAC 和相邻样本与慢性胰腺炎和正常样本,并在不同实验室使用不同测量平台产生的其他独立数据集中进行了验证。

结果

在训练数据中确定了一个由六个基因对组成的特征,并在八个独立数据集进行了验证。对于手术样本,356 份 PDAC 组织中 96.63%、11 份非癌症患者慢性胰腺炎组织中 100%和 24 份正常胰腺组织中的 23 份被正确分类。特别是,60 份 PDAC 患者癌旁正常组织中的 59 份被正确识别为 PDAC。对于活检样本,所有 11 份 PDAC 活检组织均被正确分类为 PDAC。

结论

该特征甚至可以在取样位置不准确的情况下,将 PDAC 与慢性胰腺炎和非癌症患者的正常组织区分开来,有助于 PDAC 的诊断。

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