Evidence map›Paper›PMID 26253951›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2015

Use a survival model to correlate single-nucleotide polymorphisms of DNA repair genes with radiation dose-response in patients with non-small cell lung cancer.

Jian-Yue Jin, Weili Wang, Randall K Ten Haken, Jie Chen, Nan Bi, Ramses Sadek, Hong Zhang, Theodore S Lawrence, Feng-Ming Spring Kong

Open access · greenAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Primary Results of NRG-RTOG1106/ECOG-ACRIN 6697: A Randomized Phase II Trial of Individualized Adaptive (chemo)Radiotherapy Using MidtreatmentJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Trial
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  9. Biology of Radiation-Induced Lung Injury.Seminars in radiation oncology · 2021
    Review
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  11. Article
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  14. How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?International journal of radiation oncology, biology, physics · 2016
    Article
  15. Review
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 3 institutions in 1 country.

Jian-Yue JinDepartment of Radiation Oncology, Georgia Regents University, Augusta, United States.
Weili WangDepartment of Radiation Oncology, University of Michigan, Ann Arbor, United States.
Randall K Ten HakenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, United States.
Jie ChenDepartment of Biostatistics and Epidemiology, Georgia Regents University, Augusta, United States.
Nan BiDepartment of Radiation Oncology, University of Michigan, Ann Arbor, United States.
Ramses SadekDepartment of Biostatistics and Epidemiology, Georgia Regents University, Augusta, United States.
Hong ZhangDepartment of Radiation Oncology, Georgia Regents University, Augusta, United States.
Theodore S LawrenceDepartment of Radiation Oncology, University of Michigan, Ann Arbor, United States.
Feng-Ming Spring KongDepartment of Radiation Oncology, Georgia Regents University, Augusta, United States. Electronic address: Fkong@gru.edu.
Augusta University · USUniversity of Michigan–Ann Arbor · USGeorgia Regents Medical Center · US

Funding

TREATMENT VERIFICATION AND TREATMENT PLAN REFINEMENTP01CA059827 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, MARC LEWIS, LAWRENCE, THEODORE S · 1993 to 2018
$37.9M
FUNCTIONAL IMAGE AND MOLECULAR MARKER TO INDIVIDUALIZE ADAPTIVE RADIATION DOSE ESR01CA142840 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KONG, FENG-MING P. · 2010 to 2015
$2.0M
NCI NIH HHS P01 CA059827NCI NIH HHS R01 CA142840
6 · The paper itself

Abstract

purposeThis study utilizes a survival model and clinical data with various radiation doses from prospective trials to determine radiation dose-response parameters, such as radiosensitivity, and identify single-nucleotide-polymorphism (SNP) biomarkers that can potentially predict the dose response and guide personalized radiotherapy.

methodsThe study included 92 consecutive stage-III NSCLC patients with doses varying from 60 to 91Gy. Logistic regression analysis of survival varying with SNP genotype and radiation dose was used to screen candidates for dose-response analysis. The dose-response parameter, represented by D50, was derived by fitting survival data into a model that takes into account both tumor control and treatment mortality. A candidate would be considered as a predictor if the 90% confident intervals (90% CIs) of D50 for the 2 groups stratified by the SNP genotype were separated.

resultsOne SNP-signature (combining ERCC2:rs238406 and ERCC1:rs11615) was found to predict dose-response. D50 values are 63.7 (90% CI: 53.5-66.3) Gy and 76.1 (90% CI: 71.3, 84.6) Gy for the 2 groups stratified by the genotypes. Using this biomarker-based model, a personalized dose prescription may be generated to improve 2-year survival from ∼50% to 85% and ∼3% to 73% for hypothetical sensitive and resistant patients, respectively.

conclusionsWe have developed a survival model that may be used to identify genomic markers, such as ERCC1/2 SNPs, to predict radiation dose-response and potentially guide personalized radiotherapy.

Indexed as

Polymorphism, Single NucleotideAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungDNA-Binding ProteinsDNA, NeoplasmDNA RepairDose-Response Relationship, RadiationEndonucleasesFemaleGenetic MarkersGenotypeHumansLung NeoplasmsMaleDNA-Binding ProteinsDNA, NeoplasmEndonucleasesERCC1 protein, humanERCC2 protein, humanGenetic MarkersXeroderma Pigmentosum Group D ProteinBiomarkerDose survival modelERCC1 and ERCC2Personalized radiotherapyRadiosensitivitySingle-nucleotide-polymorphisms (SNPs)

Identifiers

PMID26253951
PMCPMC4702521
OpenAlexW1816156720

What OpenQuestion holds

Textmetadata
LicenceTDM
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.