Evidence map›Paper›PMID 35117117›Full record

ArticleTranslational cancer research2019

Telomere length in peripheral blood leukocytes and risk of renal cell carcinoma.

Jong Y Park, Hung N Luu, Hyun Y Park, Hui-Yi Lin, Selina Radlein, Giuliano Di Pietro, Chang Dong Yeo, Seung Joon Kim, Nahyeon Kang, Samuel Antwi and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 90% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

14 authors at 7 institutions in 3 countries.

Jong Y ParkDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
Hung N LuuDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Hyun Y ParkDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
Hui-Yi LinBiostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
Selina RadleinDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
Giuliano Di PietroDepartment of Pharmacy, Universidade Federal de Sergipe, Brazil.
Chang Dong YeoDivision of Pulmonology, Department of Internal Medicine, The Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seung Joon KimDivision of Pulmonology, Department of Internal Medicine, The Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Nahyeon KangDivision of Pulmonology, Department of Internal Medicine, The Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Samuel AntwiDepartment of Health Science Research, Mayo Clinic, Jacksonville, FL, USA.
Wade J SextonDepartment of Genitourinary Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Philippe E SpiessDepartment of Genitourinary Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Shohreh DickinsonDepartment of Genitourinary Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Alexander ParkerUniversity of Florida Health Science Center, Jacksonville, FL, USA.
Moffitt Cancer Center · USCatholic University of Korea · KRLouisiana State University Health Sciences Center New Orleans · USMayo Clinic in Florida · USUniversidade Federal de Sergipe · BRUniversity of Florida Health Science Center · USUPMC Hillman Cancer Center · US

Funding

Design and Validation of a Biomarker-enhanced System to Predict RCC ProgressionR01CA134466 · NCI · MAYO CLINIC JACKSONVILLE · PI PARKER, ALEXANDER S · 2010 to 2014
$1.7M
NCI NIH HHS R01 CA134466
6 · The paper itself

Abstract

backgroundTelomeres are essential for chromosomal stability and may play a key role in carcinogenesis. Telomere length is suggested as a tentative biomarker of risk for renal cell carcinoma (RCC). However, results of previous association studies between telomere length and risk for RCC are inconsistent.

methodsWe evaluated RCC risk in relation to peripheral blood leukocyte telomere length using a hospital-based case-control study of 169 RCC cases and 189 controls. Cases were histologically-confirmed RCC patients who were treated at the Moffitt Cancer Center (Tampa, FL). Controls with no history of cancer underwent a screening exam at the Lifetime Cancer Screening Center at Moffitt Cancer Center to rule out the presence of cancer. Relative telomere length (RTL) was measured by quantitative real-time polymerase chain reaction (PCR) using peripheral blood leukocyte DNA. Logistic regression was used to determine the association between RTL and RCC risk.

resultsAs expected, increasing age was inversely correlated with RTL (Pearson r=-0.213, P=0.003) among controls but not cases. Average RTL was significantly shorter in cases as compared with controls [mean ± standard deviation (SD): 3.18±1.50 and 4.39±1.99, respectively, P<0.001]. In contrast, average RTL was not significantly different by gender, race, smoking status among controls or by clinical stages among RCC cases. In regression analysis, we observed that shorter RTL is significantly associated with RCC risk [odds ratio (OR) =1.48; 95% confidence interval (CI): 1.27-1.71] after adjustment for covariates.

conclusionsWe found that shorter RTL is associated with an increased risk for RCC. Our findings suggest that telomere length may be involved in the development of RCC.

Indexed as

renal cancerriskTelomere length

Identifiers

PMID35117117
PMCPMC8798989
OpenAlexW2956300229

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LicenceCC BY-NC-ND
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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.