Evidence map›Paper›PMID 28424414›Full record

ArticleOncotarget2017

Integrated analysis of promoter methylation and expression of telomere related genes in breast cancer.

Jianfu Heng, Fan Zhang, Xinwu Guo, Lili Tang, Limin Peng, Xipeng Luo, Xunxun Xu, Shouman Wang, Lizhong Dai, Jun Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Non-canonical roles of canonical telomere binding proteins in cancers.Cellular and molecular life sciences : CMLS · 2021
    Review
  8. Review
  9. Telomere-related Markers for Cancer.Current topics in medicinal chemistry · 2020
    Review
  10. Article
  11. Review
  12. Article
  13. Overexpression ofOncoTargets and therapy · 2019
    Article
  14. Review
  15. Review
  16. Article
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

10 authors at 2 institutions in 1 country.

Jianfu HengThe State Key Laboratory of Medical Genetics & School of Life Sciences, Central South University, Changsha, Hunan, 410013, China.
Fan ZhangThe State Key Laboratory of Medical Genetics & School of Life Sciences, Central South University, Changsha, Hunan, 410013, China.
Xinwu GuoSanway Gene Technology Inc., Changsha, Hunan, 410205, China.
Lili TangDepartment of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Limin PengSanway Gene Technology Inc., Changsha, Hunan, 410205, China.
Xipeng LuoSanway Gene Technology Inc., Changsha, Hunan, 410205, China.
Xunxun XuSanway Gene Technology Inc., Changsha, Hunan, 410205, China.
Shouman WangDepartment of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Lizhong DaiSanway Gene Technology Inc., Changsha, Hunan, 410205, China.
Jun WangThe State Key Laboratory of Medical Genetics & School of Life Sciences, Central South University, Changsha, Hunan, 410013, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomeres at the ends of eukaryotic chromosomes play a critical role in tumorgenesis. Using microfluidic PCR and next-generation bisulfite sequencing technology, we investigated the promoter methylation of 29 telomere related genes in paired tumor and normal tissues from 184 breast cancer patients. The expression of significantly differentially methylated genes was quantified using qPCR method.We observed that the average methylation level of the 29 telomere related genes was significant higher in tumor than that in normal tissues (P = 4.30E-21). A total of 4 genes (RAD50, RTEL, TERC and TRF1) showed significant hyper-methylation in breast tumor tissues. RAD51D showed significant methylation difference among the four breast cancer subtypes. The methylation of TERC showed significant association with ER status of breast cancer. The expression profiles of the 4 hyper-methylated genes showed significantly reduced expression in tumor tissues. The integration analysis of methylation and expression of these 4 genes showed a good performance in breast cancer prediction (AUC = 0.947).Our results revealed the methylation pattern of telomere related genes in breast cancer and suggested a novel 4-gene panel might be a valuable biomarker for breast cancer diagnosis.

Indexed as

DNA MethylationBreast NeoplasmsFemaleGene ExpressionHumansPromoter Regions, GeneticTelomerebiomarkerbreast cancergene expressionmethylationtelomere

Identifiers

PMID28424414
PMCPMC5421942
OpenAlexW2592235461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.