Evidence map›Paper›PMID 32420067›Full record

ArticleTranslational lung cancer research2020

DNA methylation markers that correlate with occult lymph node metastases of non-small cell lung cancer and a preliminary prediction model.

Zisheng Chen, Shan Xiong, Jianfu Li, Limin Ou, Caichen Li, Jinsheng Tao, Zeyu Jiang, Jianbing Fan, Jianxing He, Wenhua Liang

Abstract read
In one paragraph

Article in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

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21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Zisheng ChenDepartment of Respiratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan 511518, China.
Shan XiongDepartment of Thoracic Surgery and Oncology, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Centre for Respiratory Disease, Guangzhou 510120, China.
Jianfu LiDepartment of Thoracic Surgery and Oncology, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Centre for Respiratory Disease, Guangzhou 510120, China.
Limin OuDepartment of Thoracic Surgery and Oncology, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Centre for Respiratory Disease, Guangzhou 510120, China.
Caichen LiDepartment of Thoracic Surgery and Oncology, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Centre for Respiratory Disease, Guangzhou 510120, China.
Jinsheng TaoAnchorDx Medical Co. Ltd., Guangzhou 510300, China.
Zeyu JiangAnchorDx Medical Co. Ltd., Guangzhou 510300, China.
Jianbing FanAnchorDx Medical Co. Ltd., Guangzhou 510300, China.
Jianxing HeDepartment of Thoracic Surgery and Oncology, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Centre for Respiratory Disease, Guangzhou 510120, China.
Wenhua LiangDepartment of Thoracic Surgery and Oncology, First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Centre for Respiratory Disease, Guangzhou 510120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLymph node (LN) metastasis status is the most important prognostic factor and determines treatment strategy. Methylation alteration is an optimal candidate to trace the signal from early stage tumors due to its early existence, multiple loci and stability in blood. We built a diagnostic tool to screen and identify a set of plasma methylation markers in early stage occult LN metastasis.

methodsHigh-throughput targeted methylation sequencing was performed on tissue and matched plasma samples from a cohort of 119 non-small cell lung cancer (NSCLC) patients with a primary lesion of less than 3.0 cm in diameter. The methylation profiles were compared between patients with and without occult LN metastases. We carried out a set of machine-learning analyses on our discovery cohort to evaluate the utility of cell free DNA methylation profiles in early detection of LN metastasis. Two preliminary prognostic models predictive of LN metastasis were built by random forest with differentially methylated markers shared by plasma and tissue samples and markers present either in plasma or tissue samples respectively. The performance of these models was then evaluated using receiver operating characteristic (ROC) statistics derived from ten-fold cross validation repeated ten times.

resultsWithin this cohort, 27 cases (27/119, 22.7%) were found to have occult LN metastases found by pathological examination. Compared with those without metastases, 878 and 52 genes were differentially methylated in terms of tissue (

conclusionsWe identified a set of specific plasma methylation markers for early occult LN metastasis of NSCLC and established a preliminary non-invasive blood diagnostic tool.

Indexed as

methylationnon-small cell lung cancer (NSCLC)Occult lymph node metastasisplasma cell-free DNA

Identifiers

PMID32420067
PMCPMC7225136

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