Evidence map›Paper›PMID 22212995›Full record

ArticleClinical and experimental medicine2013

Hypermethylation of CpG islands is more prevalent than hypomethylation across the entire genome in breast carcinogenesis.

Jianxin Tan, Yumei Gu, Xiaomei Zhang, Sihong You, Xiaowei Lu, Senqing Chen, Xiao Han, Yujie Sun

Abstract read
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In one paragraph

Article in Clinical and experimental medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 14 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

8 authors at 4 institutions in 2 countries.

Jianxin TanKey Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, People's Republic of China.
Yumei Gu
Xiaomei Zhang
Sihong You
Xiaowei Lu
Senqing Chen
Xiao Han
Yujie Sun
Nanjing Medical University · CNInstitute of Cancer Research · CAJiangsu Cancer Hospital · CNJiangxi Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish a high-throughput, genome-wide and non-gene-specific approach to assess the methylation status of multiple CpG islands in parallel and employ it to detect the CpG island methylation profiling alterations in breast carcinogenesis. We used methylation-sensitive restriction fingerprint (MSRF) to screen the permutations of primers that could detect varied and specific methylation profiling in genomic DNA isolated from four different cell lines. Five permutations of nine arbitrary primers were determined for the following experiments based on the above test. We then examined the methylation profiling alterations of CpG islands in 31 breast cancer tissue samples relative to their adjacent non-neoplastic tissues with modified MSRF that replaced silver staining with denatured high-performance liquid chromatography for size fraction. We found that two pairs of primers could reveal specific alterations of CpG methylation in the examined tissues, and 83.9% (26/31) of breast cancer tissues exhibited specific CpG island methylation profiling relative to their adjacent non-neoplastic tissues. Size fraction analysis revealed that hypermethylation of CpG islands was responsible for the aberrant methylation profiling in breast cancer tissues. Our work not only established a relative high-throughput, genome-wide and economic method to detect methylation alterations of CpG island profiling, but also revealed that hypermethylation of CpG islands was more prevalent than hypomethylation across the entire genome in our examined cancer tissues. The methylation profiling alterations revealed by two primer pairs used in the present study might be a novel marker for breast cancer.

Indexed as

CpG IslandsDNA MethylationAdultAgedBreast NeoplasmsCell Line, TumorDNA, NeoplasmFemaleHumansMiddle AgedPathology, MolecularDNA, Neoplasm

Identifiers

PMID22212995
OpenAlexW2016706387

What OpenQuestion holds

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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.