Evidence map›Paper›PMID 33955718›Full record

ArticleFEBS open bio2021

Identification of two methylated fragments of an SDC2 CpG island using a sliding window technique for early detection of colorectal cancer.

Ruibin Li, Bing Qu, Kangkang Wan, Changming Lu, Tingting Li, Fuxiang Zhou, Jun Lin

Open access · goldAbstract read
In one paragraph

Article in FEBS open bio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Ruibin LiHubei Key Laboratory of Tumor Biological Behavior, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, China.
Bing QuDepartment of Reproductive Medicine Center, Renmin Hospital of Wuhan University & Hubei Clinic Research Center for Assisted Reproductive Technology and Embryonic Development, China.
Kangkang WanWuhan Ammunition Life-tech Company, Ltd., China.
Changming LuWuhan Ammunition Life-tech Company, Ltd., China.
Tingting LiWuhan Ammunition Life-tech Company, Ltd., China.
Fuxiang ZhouHubei Key Laboratory of Tumor Biological Behavior, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, China.ORCID 0000-0001-9216-5395
Jun LinDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, China.
Wuhan University · CNWuhan Amysen Life Technology (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common cancer types globally with a 5-year survival rate of < 50% in China. Aberrant DNA methylation is one of the hallmarks of tumor initiation, progression, and metastasis. Here, we investigated the clinical performance of two differentially methylated regions (DMRs) in SDC2 CpG islands for the detection of CRC. A sliding window technique was used to identify the DMRs, and methylation-specific PCR assay was used to assess the DMRs in 198 CRC samples and 54 normal controls. Two DMRs (DMR2 and DMR5) were identified using The Cancer Genome Atlas (TCGA) data, and the hypermethylation of DMR2 and DMR5 was detected in 90.91% (180/198) and 89.90% (178/198) of CRC samples, respectively. When combining DMR2 and DMR5, the sensitivity for CRC detection was 94.4% higher than that of DMR2 or DMR5 alone. Based on the above results, we propose using DMR2 and DMR5 as a sensitive biomarker to detect CRC.

Indexed as

Colorectal NeoplasmsBiomarkers, TumorCpG IslandsDNA MethylationEarly Detection of CancerHumansSyndecan-2Biomarkers, TumorSDC2 protein, humanSyndecan-2biomarkerscolorectal cancerearly detectionmethylationSDC2

Identifiers

PMID33955718
PMCPMC8255834
OpenAlexW3157858360

What OpenQuestion holds

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Registered trials

None linked

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.