Evidence map›Paper›PMID 25840848›Full record

ArticleLung cancer (Amsterdam, Netherlands)2015

Telomere length variation: A potential new telomere biomarker for lung cancer risk.

Bing Sun, Ying Wang, Krishna Kota, Yaru Shi, Salaam Motlak, Kepher Makambi, Christopher A Loffredo, Peter G Shields, Qin Yang, Curtis C Harris and 1 more

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Article
  8. Role of telomere length in human carcinogenesis (Review).International journal of oncology · 2023
    Review
  9. Article
  10. Article
  11. Telomere Maintenance in Pediatric Cancer.International journal of molecular sciences · 2019
    Review
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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

11 authors.

Bing SunCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States.
Ying WangCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States.
Krishna KotaCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States.
Yaru ShiCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States.
Salaam MotlakCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States.
Kepher MakambiCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC, United States.
Christopher A LoffredoCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States; Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC, United States.
Peter G ShieldsJames Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH 43220, United States.
Qin YangCancer Biology Division, Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, MO, United States.
Curtis C HarrisLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States.
Yun-Ling ZhengCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States. Electronic address: yz37@georgetown.edu.

Funding

Precision Medicine of CancerZIABC011492 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$23.2M
Integrative Molecular Epidemiology of Human CancerZIABC011495 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2019
$9.5M
Telomere dysfunction, chromosome 9 instability and bladder cancer riskR01CA132996 · NCI · GEORGETOWN UNIVERSITY · PI ZHENG, YUN-LING · 2009 to 2013
$2.7M
NCI NIH HHS R01 CA132996NCI NIH HHS R01CA132996
6 · The paper itself

Abstract

objectivesIn this report the associations between telomere length variation (TLV), mean telomere length in blood lymphocytes and lung cancer risk were examined. MATERIALS AND

methodsThe study design is case-control. Cases (N=191) were patients newly diagnosed with histologically confirmed non-small cell lung cancer. Controls (N=207) were healthy individuals recruited from the same counties as cases and matched to cases on age and gender. Telomere fluorescent in situ hybridization was used to measure telomere features using short-term cultured blood lymphocytes. Logistic regression was used to estimate the strength of association between telomere features and lung cancer risk.

resultsTelomere length variation across all chromosomal ends was significantly associated with lung cancer risk; adjusted odds ratios 4.67 [95% confidence interval (CI): 1.46-14.9] and 0.46 (95% CI: 0.25-0.84) for younger (age≤60) and older (age>60) individuals, respectively. TLV and mean telomere length jointly affected lung cancer risk: when comparing individuals with short telomere length and high TLV to those with long telomere length and low TLV, adjusted odd ratios were 8.21 (95% CI: 1.71-39.5) and 0.33 (95% CI: 0.15-0.72) for younger and older individuals, respectively.

conclusionsTLV in blood lymphocytes is significantly associated with lung cancer risk and the associations were modulated by age. TLV in combination with mean telomere length might be useful in identifying high risk population for lung cancer computerized tomography screening.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesChromosomes, HumanFemaleHumansLung NeoplasmsLymphocytesMaleMiddle AgedOdds RatioRisk FactorsTelomereTelomere HomeostasisBiomarkers, TumorBlood-based biomarkerLung cancerRisk predictionTelomere dysfunctionTelomere lengthTelomere length variation

Identifiers

PMID25840848
PMCPMC4428929

What OpenQuestion holds

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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.