Evidence map›Paper›PMID 30005626›Full record

SynthesisBMC cancer2018

Prognostic and clinicopathological significance of MLKL expression in cancer patients: a meta-analysis.

Binwu Hu, Deyao Shi, Xiao Lv, Songfeng Chen, Qin Huang, Mao Xie, Zengwu Shao

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Stress Granules: Novel Regulators of Programmed Cell Death.Mini reviews in medicinal chemistry · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Necroptosis in inflammatory bowel disease: A potential effective target.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  12. Article
  13. MLKL in cancer: more than a necroptosis regulator.Cell death and differentiation · 2021
    Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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 2 institutions in 1 country.

Binwu HuDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Deyao ShiDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Xiao LvDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Songfeng ChenDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qin HuangDepartment of Medical Rehabilitation, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Mao XieDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Zengwu ShaoDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. szwpro@163.com.ORCID http://orcid.org/0000-0003-1616-8118
Union Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

Major Research Plan of National Natural Science Foundation of China 91649204Nature Science Foundation of Hubei Province 2017CFB264The National Key Research and Development Program of China 2016YFC1100100Union Hospital, Tongji Medical College, Huazhong University of Science and Technology 02.03.2015-62
6 · The paper itself

Abstract

backgroundMLKL is the most important executor of necroptosis pathway. Recent studies have demonstrated that MLKL could serve as a potential prognostic biomarker for cancer patients. However, most studies reported so far are limited in discrete outcome and sample size.

methodsWe systematically searched PubMed, Embase, Web of Science and CNKI to obtain all relevant articles about the prognostic value of abnormally expressed MLKL in patients with any type of tumor. Odds ratios or hazards ratios (HRs) with corresponding 95% confidence intervals (CIs) were pooled to estimate the association between MLKL expression and clinicopathological characteristics or survival of cancer patients.

resultsA total of 6 eligible studies with 613 cancer patients were enrolled in our meta-analysis. Our results demonstrated that decreased expression level of MLKL was significantly associated with poor overall survival (OS) (pooled HR 0.26, 95%CI 0.17-0.40, high/low) and event-free survival (EFS) (pooled HR 0.45, 95%CI 0.23-0.87, high/low) in cancer patients. Furthermore, subgroup analysis divided by type of cancer, sample size, follow-up time and Newcastle-Ottawa Scale (NOS) score showed consistent prognostic value. In addition, our analysis revealed that decreased expression level of MLKL was significantly associated with advanced tumor stage, more lymph node metastasis and older age.

conclusionsIn conclusion, our meta-analysis suggested that decreased MLKL expression might be a convinced unfavorable prognostic factor that could help the clinical decision-making process.

Indexed as

AdultAgedDisease-Free SurvivalFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasmsNeoplasm StagingPrognosisProtein KinasesPublication BiasMLKL protein, humanProtein KinasesCancerMeta-analysisMLKLNecroptosisPrognosis

Identifiers

PMID30005626
PMCPMC6044038
OpenAlexW2883421263

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.