Evidence map›Paper›PMID 24936218›Full record

ArticleAmerican journal of translational research2014

Mouse mammary tumor virus-like virus infection and the risk of human breast cancer: a meta-analysis.

Faliang Wang, Jinchao Hou, Qi Shen, Yongfang Yue, Fajun Xie, Xian Wang, Hongchuan Jin

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Prevalence of MMTV-LikeCancer management and research · 2021
    Article
  13. Intestinal Immune System and Amplification of Mouse Mammary Tumor Virus.Frontiers in cellular and infection microbiology · 2021
    Review
  14. Mouse Mammary Tumor Virus (MMTV)-LikeInternational journal of environmental research and public health · 2020
    Article
  15. Review
  16. Article
  17. Review
  18. Prevalence of mucosal and cutaneous human papillomavirus in Moroccan breast cancer.Papillomavirus research (Amsterdam, Netherlands) · 2018
    Article
  19. Article
  20. 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

7 authors at 3 institutions in 2 countries.

Faliang WangLaboratory of Cancer Biology, Institute of Clinical Science, Sir Runrun Shaw Hospital, School of Medicine, Zhejiang University Hangzhou, China ; Department of Clinical Oncology, The Children's Hospital, School of Medicine, Zhejiang University Hangzhou, China.
Jinchao HouDepartment of Anesthesiology, The First Affiliated Hospital, School of Medicine, Zhejiang University Hangzhou, China.
Qi ShenDepartment of Medical Oncology, Sir Runrun Shaw Hospital, School of Medicine, Zhejiang University Hangzhou, China.
Yongfang YueLaboratory of Cancer Biology, Institute of Clinical Science, Sir Runrun Shaw Hospital, School of Medicine, Zhejiang University Hangzhou, China.
Fajun XieDepartment of Medical Oncology, Zhejiang Cancer Hospital Hangzhou, Zhejiang Province, China.
Xian WangDepartment of Medical Oncology, Sir Runrun Shaw Hospital, School of Medicine, Zhejiang University Hangzhou, China.
Hongchuan JinLaboratory of Cancer Biology, Institute of Clinical Science, Sir Runrun Shaw Hospital, School of Medicine, Zhejiang University Hangzhou, China.
Zhejiang University · CNBoston Children's Hospital · USSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a large number of molecular epidemiological studies, the association of Mouse Mammary Tumor Virus-Like Virus (MMTV-LV) infection with the risk of human breast cancer remains inconclusive mainly due to the heterogeneity in populations involved. We performed a systematic search of multiple bibliographic databases, up to October 2013, to identify all studies on detection of MMTV-LV DNA in human breast cancer using polymerase chain reaction (PCR) and conducted the first comprehensive meta-analysis of published literature to explore the relevance of MMTV-LV to human breast cancer. As a result, meta-analysis of twelve case-control studies identified from the systematic search revealed a significantly increased risk for breast cancer development after MMTV-LV infection (OR=15.20; 95% CI: 9.98-23.13). However, there was no significant correlation between MMTV-LV infection and the transformation from ductal carcinoma in situ to invasive ductal carcinoma (OR=1.16; 95% CI: 0.27-4.97). In addition, MMTV-LV infection was not associated with the expression of estrogen receptor (ER) (OR=0.89; 95% CI: 0.48-1.65), progesterone receptor (PR) (OR=0.73; 95% CI: 0.22-2.42), HER-2 (OR=0.65; 95% CI: 0.30-1.43) or p53 (OR=1.47; 95% CI: 0.79-2.73). Finally, we found that the prevalence of MMTV-LV in breast carcinoma was significantly higher in patients from Western countries (prevalence=40.4%, 95% CI: 28.9%-51.9%) than in Asian patients (prevalence: 8.5%; 95% CI: -7.1%-24.1%) in a subgroup and meta-regression analysis (p=0.015). In summary, the meta-analysis of published studies revealed a significantly increased risk for breast cancer development after MMTV-LV infection. In addition, the prevalence of MMTV-LV is much higher in breast cancer patients from Western countries than Asian patients.

Indexed as

Human breast cancerMMTV-LVmouse mammary tumor virus-like virus

Identifiers

PMID24936218
PMCPMC4058307
OpenAlexW2200209876

What OpenQuestion holds

Textmetadata
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.