Evidence map›Paper›PMID 30170373›Full record

SynthesisMedicine2018

The prognostic significance of hTERT overexpression in cancers: A systematic review and meta-analysis.

Kai Wang, Rui-Ling Wang, Jian-Jun Liu, Ji Zhou, Xue Li, Wen-Wei Hu, Wei-Jian Jiang, Ning-Bo Hao

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.2field-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

31 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  5. Article
  6. Immunotherapy in Breast Cancer: Beyond Immune Checkpoint Inhibitors.International journal of molecular sciences · 2025
    Review
  7. Review
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  9. Rapid intraoperative amplicon sequencing of CNS tumor markers.Computational and structural biotechnology journal · 2024
    Article
  10. Article
  11. Article
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  13. Review
  14. The Future of Cervical Cancer Screening.International journal of women's health · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  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

8 authors at 1 institution in 1 country.

Kai WangNew Era Stoke Care and Research Institute Department of Gastroenterology, General Hospital of the PLA Rocket Force; Beijing, China.
Rui-Ling Wang
Jian-Jun Liu
Ji Zhou
Xue Li
Wen-Wei Hu
Wei-Jian Jiang
Ning-Bo Hao
Air Force General Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman telomerase reverse transcriptase (hTERT) plays an important role in cancer progression. Recently, several clinical studies investigated how the overexpression of hTERT predicts the poor prognosis of solid tumors. However, the results were inconclusive, partly because of the small numbers of patients included.

methodWe systematically searched PubMed, Web of Science, and Embase to identify relevant studies until August 2017. Hazard ratios (HRs) with 95% confidence intervals (CIs) were used to evaluate the association of hTERT expression and survival outcomes.

resultsA total of 27studies enrolling 2530 solid tumor patients were included in this meta-analysis. There were strong significant associations between hTERT overexpression and all endpoints: overall survival (OS) (HR = 1.50, 95% CI: 1.31-1.73, P = .00), disease-free survival (HR = 1.84, 95% CI: 1.38-2.46; P = .00), and recurrence-free survival (HR = 1.79, 95% CI: 1.07-2.99; P = .028). In the subgroup analysis, it was found that the overexpression of hTERT induced poor OS in lung cancer (HR = 1.51, 95% CI: 1.21-1.89; P = .00).

conclusionOur comprehensive systematic review concluded that the overexpression of hTERT was associated with poor survival in human solid tumors. hTERT may be a valuable predictive biomarker for prognosis.

Indexed as

Biomarkers, TumorDisease-Free SurvivalHumansNeoplasmsPrognosisProportional Hazards ModelsTelomeraseBiomarkers, TumorTelomeraseTERT protein, human

Identifiers

PMID30170373
PMCPMC6392887
OpenAlexW2888984204

What OpenQuestion holds

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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.