Evidence map›Paper›PMID 27736797›Full record

SynthesisOncotarget2016

Human epidermal growth factor receptor 4 (HER4) is a favorable prognostic marker of breast cancer: a systematic review and meta-analysis.

Jue Wang, Jun Yin, Qing Yang, Feng Ding, Xiao Chen, Bingjie Li, Xingsong Tian

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  5. PET and SPECT Imaging of the EGFR Family (RTK Class I) in Oncology.International journal of molecular sciences · 2021
    Review
  6. Review
  7. Review
  8. Article
  9. The role of ErbB4 in cancer.Cellular oncology (Dordrecht, Netherlands) · 2020
    Review
  10. Article
  11. Article
  12. Clinicopathologic significance of nuclear HER4 and phospho-YAP(STherapeutic advances in medical oncology · 2020
    Article
  13. Article
  14. Article
  15. Clinical significance of overexpression of NRG1 and its receptors, HER3 and HER4, in gastric cancer patients.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2018
    Article
  16. Article
  17. Recent advances of bispecific antibodies in solid tumors.Journal of hematology & oncology · 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

7 authors at 4 institutions in 2 countries.

Jue WangDepartment of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Jun YinDepartment of Systems Biology, MD Anderson Cancer Center, Houston, Texas, USA.
Qing YangDepartment of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Feng DingDepartment of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China, Department of General Surgery, Jinan Hospital, Jinan, Shandong, China.
Xiao ChenDepartment of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Bingjie LiDivision of Epidemiology, School of Public Health, the University of Texas Health Science Center at Houston, Houston, Texas, USA.
Xingsong TianDepartment of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Shandong Provincial Hospital · CNShandong University · CNThe University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on a large cohort of clinical studies involving a total of 8024 patients and reporting the effects of HER4 on breast cancer prognosis, we conducted the first meta-analysis and review of this type. We identified 26 studies published between 1985 and 2016 and assessed the prognostic value of HER4 in breast cancer by either real-time quantitative reverse transcription-polymerase chain reaction (RT-PCR, for mRNA levels) or immunohistochemistry (IHC, for protein levels). Elevated expression of HER4 was significantly associated with longer relapse-free survival (RFS) (HR = 0.63; CI: 0.48-0.83; P = 0.001, random effects). Further subgroup analysis showed that our results were stable irrespective of subtype [Luminal: HR = 0.40, CI: 0.30-0.53, P < 0.001, fixed effects; triple negative breast cancer (TNBC): HR = 0.49, CI: 0.26-0.90, P = 0.02, fixed effects; and HER2-positive: HR = 0.53, CI: 0.40-0.71, P < 0.001, fixed effects]. Cytoplasmic HER4 was more effective than nuclear HER4 (HR = 0.74, CI: 0.60-0.92, P = 0.007, fixed effects) for predicting RFS. HER4 was also found to be a favorable prognostic marker for overall survival (OS) among patients with non-TNBC in the subgroup analysis (Luminal: HR = 0.71, CI: 0.52-0.95, P = 0.023, fixed effects; HER2-positive: HR = 0.48, CI: 0.26-0.89, P = 0.020, fixed effects).

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleGene ExpressionHumansPrognosisProtein TransportPublication BiasReceptor, ErbB-4RNA, MessengerSurvival AnalysisBiomarkers, TumorERBB4 protein, humanReceptor, ErbB-4RNA, Messengerbreast cancerHER4/ErbB-4markermeta-analysisprognosis

Identifiers

PMID27736797
PMCPMC5363541
OpenAlexW2535379451

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.