Evidence map›Paper›PMID 34108011›Full record

ArticleClinical epigenetics2021

Identification of DNA methylation biomarkers for risk of liver metastasis in early-stage colorectal cancer.

Weihua Li, Lei Guo, Wanxiangfu Tang, Yutong Ma, Xiaonan Wang, Yang Shao, Hong Zhao, Jianming Ying

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 35 citations in OpenAlex.

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  9. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
    Review
  10. Article
  11. Prognostic biomarkers based onTranslational cancer research · 2024
    Article
  12. Article
  13. Exploring Potential Epigenetic Biomarkers for Colorectal Cancer Metastasis.International journal of molecular sciences · 2024
    Review
  14. KLF4 is an epigenetically modulated, context-dependent tumor suppressor.Frontiers in cell and developmental biology · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Weihua Li *Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Beijing, 100021, China.
Lei Guo *Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Beijing, 100021, China.
Wanxiangfu TangNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Yutong MaNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Xiaonan WangNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Yang ShaoNanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Hong ZhaoDepartment of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. zhaohong@cicams.ac.cn.
Jianming YingDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Beijing, 100021, China. jmying@cicams.ac.cn.ORCID 0000-0002-7301-4118
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CAMS Innovation Fund for Medical Sciences 2017-I2M-1-006National Key Research and Development Program 2017YFC1311005National Natural Science Foundation of China 81702436Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2019PT310026
6 · The paper itself

Abstract

backgroundLiver metastases can occur even in CRC patients who underwent curative surgery. While evidence suggested that adjuvant chemotherapy can help to reduce the occurrence of liver metastases for certain patients, it is not a recommended routine as the side effects outweigh the potential benefits, especially in Stage II CRC patients. This study aims to construct a model for predicting liver metastasis risk using differential methylation signals in primary CRC tumors, which can facilitate the decision for adjuvant chemotherapy.

methodsFifty-nine stage I/II and IV CRC patients were enrolled. Primary tumor, adjacent normal tissue, and metastatic tumor tissues were subject to targeted bisulfite sequencing for DNA methylation. The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was used to identify potential DMRs for predicting liver metastasis of CRC.

resultsWe identified a total of 241,573 DMRs by comparing the DNA methylation profile of primary tumors of stage II patients who developed metastasis to those who were metastasis-free during the follow up period. 213 DMRs were associated with poor prognosis, among which 182 DMRS were found to be hypermethylated in the primary tumor of patients with metastases. Furthermore, by using the LASSO regression model, we identified 23 DMRs that contributed to a high probability of liver metastasis of CRC. The leave-one-out cross validation (LOOCV) was used to evaluate model predictive performance at an AUC of 0.701. In particular, 7 out of those 23 DMRs were found to be in the promoter region of genes that were previously reported prognostic biomarkers in diverse tumor types, including TNNI2, PAX8, GUF1, KLF4, EVI2B, CEP112, and long non-coding RNA AC011298. In addition, the model was also able to distinguish metastases of different sites (liver or lung) at an AUC of 0.933.

conclusionWe have identified DNA methylation biomarkers associated with the risk of cancer liver metastasis in early-stage CRC patients. A risk prediction model based on those epigenetic markers was proposed for outcome assessment.

Indexed as

Biomarkers, TumorChinaColorectal NeoplasmsDNA MethylationEpigenesis, GeneticEpigenomicsFemaleGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMaleMiddle AgedRisk AssessmentBiomarkers, TumorBiomarkerColorectal cancerDMRsDNA methylationLiver metastasis

Identifiers

PMID34108011
PMCPMC8190869
OpenAlexW3166679293

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.