Evidence map›Paper›PMID 31454181›Full record

SynthesisMolecular genetics & genomic medicine2019

TERT rs10069690 polymorphism and cancers risk: A meta-analysis.

Guisheng He, Tao Song, Yazhen Zhang, Xiuxiu Chen, Wei Xiong, Huamin Chen, Chuanwei Sun, Chaoyang Zhao, Yunjing Chen, Huangfu Wu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. TERT rs10069690 polymorphism and cancers risk: A meta-analysis.Molecular genetics & genomic medicine · 2019
    Pooled it
  4. Article
  5. Review
  6. Review
  7. Telomere length andRadiology and oncology · 2024
    Observational
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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

10 authors at 1 institution in 1 country.

Guisheng HeDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Tao SongDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Yazhen ZhangDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Xiuxiu ChenDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Wei XiongDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Huamin ChenDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Chuanwei SunDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Chaoyang ZhaoDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Yunjing ChenDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.
Huangfu WuDepartment of Surgical Oncology, Second Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province, China.ORCID 0000-0002-9097-6001
Hainan Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive.

methodsTo provide a more precise estimation of the relationship, we performed a meta-analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers' classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Sensitivity, publication bias, false-positive report probability (FPRP) and statistical power were also assessed.

resultsThe result demonstrated that rs10069690 was significantly associated with an increased risk of cancer overall (OR = 1.09, 95% CI: 1.06-1.12, p < .001) under the allele model. Stratification analysis revealed an increased cancer risk in subgroups of breast cancer, ovarian cancer, lung cancer, thyroid cancer, and renal cell carcinoma (RCC). However, a significantly decreased association was observed in pancreatic cancer in the European population (OR = 0.93,95% CI: 0.87-0.99, p = .031). In the subgroup analysis based on cancer type, no significant association was found in prostate cancer, leukemia, colorectal cancer and glioma.

conclusionsThis meta-analysis suggested that the TERT rs10069690 polymorphism may be a risk factor for cancer, especially breast cancer, ovarian cancer, lung cancer, thyroid cancer, and RCC. Further functional studies are warranted to reveal the role of the polymorphism in carcinogenesis.

Indexed as

Databases, GeneticHumansIntronsNeoplasmsOdds RatioPolymorphism, Single NucleotideRisk FactorsTelomeraseTelomeraseTERT protein, humancancermeta-analysispolymorphismTERT

Identifiers

PMID31454181
PMCPMC6785442
OpenAlexW2970866622

What OpenQuestion holds

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LicenceCC BY
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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.