Evidence map›Paper›PMID 22523397›Full record

SynthesisJournal of the National Cancer Institute2012

Telomerase reverse transcriptase locus polymorphisms and cancer risk: a field synopsis and meta-analysis.

Simone Mocellin, Daunia Verdi, Karen A Pooley, Maria T Landi, Kathleen M Egan, Duncan M Baird, Jennifer Prescott, Immaculata De Vivo, Donato Nitti

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the National Cancer Institute, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 17 pooled it
10.3field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 17 syntheses or guidelines pooled it, 130 citations in OpenAlex.

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  5. A GWAS Meta-analysis and Replication Study Identifies a Novel Locus within CLPTM1L/TERT Associated with Nasopharyngeal Carcinoma in Individuals of Chinese Ancestry.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
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26 more citing papers are in PubMed but not listed here.

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

9 authors at 6 institutions in 3 countries.

Simone MocellinDepartment of Oncological and Surgical Sciences, Meta-analysis Unit, University of Padova, Padova, Italy. simone.mocellin@unipd.it
Daunia Verdi
Karen A Pooley
Maria T Landi
Kathleen M Egan
Duncan M Baird
Jennifer Prescott
Immaculata De Vivo
Donato Nitti
Cancer Research UK · GBNational Cancer Institute · USNational Institutes of Health · USBrigham and Women's Hospital · USCardiff University · GBHarvard University · US

Funding

Southeast Region Case-Control Study of Adult GliomaR01CA116174 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI EGAN, KATHLEEN M. · 2007 to 2011
$4.9M
NCI NIH HHS R01 CA116174
6 · The paper itself

Abstract

backgroundSeveral recent studies have provided evidence that polymorphisms in the telomerase reverse transcriptase (TERT) gene sequence are associated with cancer development, but a comprehensive synopsis is not available. We conducted a systematic review and meta-analysis of the available molecular epidemiology data regarding the association between TERT locus polymorphisms and predisposition to cancer.

methodsA systematic review of the English literature was conducted by searching PubMed, Embase, Cancerlit, Google Scholar, and ISI Web of Knowledge databases for studies on associations between TERT locus polymorphisms and cancer risk. Random-effects meta-analysis was performed to pool per-allele odds ratios for TERT locus polymorphisms and risk of cancer, and between-study heterogeneity and potential bias sources (eg, publication and chasing bias) were assessed. Because the TERT locus includes the cleft lip and palate transmembrane 1-like (CLPTM1L) gene, which is in linkage disequilibrium with TERT, CLPTM1L polymorphisms were also analyzed. Cumulative evidence for polymorphisms with statistically significant associations was graded as "strong," "moderate," and "weak" according to the Venice criteria. The joint population attributable risk was calculated for polymorphisms with strong evidence of association.

resultsEighty-five studies enrolling 490 901 subjects and reporting on 494 allelic contrasts were retrieved. Data were available on 67 TERT locus polymorphisms and 24 tumor types, for a total of 221 unique combinations of polymorphisms and cancer types. Upon meta-analysis, a statistically significant association with the risk of any cancer type was found for 22 polymorphisms. Strong, moderate, and weak cumulative evidence for association with at least one tumor type was demonstrated for 11, 9, and 14 polymorphisms, respectively. For lung cancer, which was the most studied tumor type, the estimated joint population attributable risk for three polymorphisms (TERT rs2736100, intergenic rs4635969, and CLPTM1L rs402710) was 41%. Strong evidence for lack of association was identified for five polymorphisms in three tumor types.

conclusionsTo our knowledge, this is the largest collection of data for associations between TERT locus polymorphisms and cancer risk. Our findings support the hypothesis that genetic variability in this genomic region can modulate cancer susceptibility in humans.

Indexed as

Polymorphism, Single NucleotideGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansLinkage DisequilibriumMembrane ProteinsNeoplasm ProteinsNeoplasmsOdds RatioRisk FactorsTelomeraseCLPTM1L protein, humanMembrane ProteinsNeoplasm ProteinsTelomeraseTERT protein, human

Identifiers

PMID22523397
PMCPMC3611810
OpenAlexW2117901243

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.