Evidence map›Paper›PMID 25201064›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Mitochondrial DNA haplogroup N is associated good outcome of gastric cancer.

Cuiju Wang, Yingnan Wang, Huiying Wang, Ruixing Zhang, Zhanjun Guo

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. The Role of Mitochondria in Carcinogenesis.International journal of molecular sciences · 2021
    Review
  7. Mitohormesis, UPRCancer research · 2019
    Review
  8. Article
  9. Spotlight on the relevance of mtDNA in cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
    Review
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

5 authors.

Cuiju WangDepartment of Gynaecology Ultrasound, The Fourth Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Yingnan Wang
Huiying Wang
Ruixing Zhang
Zhanjun Guo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulation of mutations and single nucleotide polymorphisms (SNPs) in the displacement loop (D-loop) of mitochondrial DNA (mtDNA) has been identified for their association with cancer risk and disease outcome in a variety of cancers. We have identified cancer risk-associated D-loop SNPs in gastric cancer patients. In this study, we evaluated the predictive value of these SNPs for cancer outcome. Two SNP sites of nucleotides 489C/T and 523-524AC/del were identified for statistically significant prediction of postoperative survival in gastric cancer by univariate analysis with log-rank test. In addition, the mitochondrial DNA haplogroup N (489T) contributed to the good survival of gastric cancer patients compared with the mitochondrial DNA haplogroup M (489C) genotype (relative risk, 1.753; 95 %CI, 1.005-3.060; p = 0.048) by multivariate analysis with COX hazards model. In conclusion, analysis of genetic polymorphisms in the mitochondrial D-loop can help identify subgroups of patients who are at a high risk of a poor disease outcome.

Indexed as

DNA, MitochondrialPolymorphism, Single NucleotideAdultAgedFemaleGenetic Association StudiesHumansMaleMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingPatient Outcome AssessmentPrognosisStomach NeoplasmsTreatment OutcomeDNA, Mitochondrial

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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.