Evidence map›Paper›PMID 25597281›Full record

ArticleMolecular carcinogenesis2015

Interleukin polymorphisms associated with overall survival, disease-free survival, and recurrence in non-small cell lung cancer patients.

Nicholas T Woods, Alvaro N Monteiro, Zachary J Thompson, Ernest K Amankwah, Nina Naas, Eric B Haura, Amer A Beg, Matthew B Schabath

Abstract read
In one paragraph

Article in Molecular carcinogenesis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Genetic Variations ofRisk management and healthcare policy · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Nicholas T WoodsDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.
Alvaro N MonteiroDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.
Zachary J ThompsonDepartment of Biostatistics Bioinformatics, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.
Ernest K AmankwahDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.
Nina NaasDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.
Eric B HauraDepartment of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida.
Amer A BegDepartment of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Florida.
Matthew B SchabathDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center Research Institute, Tampa, Florida.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
SPORE in Lung CancerP50CA119997 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GABRILOVICH, DMITRY I · 2008 to 2012
$11.0M
Developing Information Infrastructure Focused on Cancer Comparative EffectivenessUC2CA148332 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI FENSTERMACHER, DAVID ALAN · 2010 to 2010
$2.0M
Impact of BRCA1-mTORC2 interaction on breast cancer response to DNA damage and chR21CA184996 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WOODS, NICHOLAS TAYLOR · 2014 to 2015
$371k
NCI NIH HHS 1R21CA184996-01NCI NIH HHS 5 UC2 CA 148322-02NCI NIH HHS P30 CA076292NCI NIH HHS P30-CA076292NCI NIH HHS P50 CA119997NCI NIH HHS R21 CA184996NCI NIH HHS UC2 CA148332
6 · The paper itself

Abstract

Biomarkers based on germline DNA variations could have translational implications by identifying prognostic factors and sub-classifying patients to tailored, patient-specific treatment. To investigate the association between germline variations in interleukin (IL) genes and lung cancer outcomes, we genotyped 251 single nucleotide polymorphisms (SNPs) from 33 different IL genes in 651 non-small cell lung cancer (NSCLC) patients. Analyses were performed to investigate overall survival, disease-free survival, and recurrence. Our analyses revealed 24 different IL SNPs significantly associated with one or more of the lung cancer outcomes of interest. The GG genotype of IL16:rs7170924 was significantly associated with disease-free survival (HR = 0.65; 95% CI 0.50-0.83) and was the only SNP that produced a false discovery rate (FDR) of modest confidence that the association is unlikely to represent a false-positive result (FDR = 0.142). Classification and regression tree (CART) analyses were used to identify potential higher-order interactions. We restricted the CART analyses to the five SNPs that were significantly associated with multiple endpoints (IL1A:rs1800587, IL1B:rs1143634, IL8:s12506479, IL12A:rs662959, and IL13:rs1881457) and IL16:rs7170924 which had the lowest FDR. CART analyses did not yield a tree structure for overall survival; separate CART tree structures were identified for recurrence, based on three SNPs (IL13:rs1881457, IL1B:rs1143634, and IL12A:rs662959), and for disease-free survival, based on two SNPs (IL12A:rs662959 and IL16:rs7170924), which may suggest that these candidate IL SNPs have a specific impact on lung cancer progression and recurrence. These data suggest that germline variations in IL genes are associated with clinical outcomes in NSCLC patients.

Indexed as

Polymorphism, Single NucleotideSurvival AnalysisAgedCarcinoma, Non-Small-Cell LungFemaleHumansInterleukinsLung NeoplasmsMaleMiddle AgedRecurrenceInterleukinsgenotypeslung cancermolecular epidemiologypolymorphismssurvival

Identifiers

PMID25597281
PMCPMC4475444

What OpenQuestion holds

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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.