Evidence map›Paper›PMID 28574846›Full record

ArticleOncotarget2017

Polymorphisms in BMP2/BMP4, with estimates of mean lung dose, predict radiation pneumonitis among patients receiving definitive radiotherapy for non-small cell lung cancer.

Ju Yang, Ting Xu, Daniel R Gomez, Xianglin Yuan, Quynh-Nhu Nguyen, Melenda Jeter, Yipeng Song, Stephen Hahn, Zhongxing Liao

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Precision radiotherapy for non-small cell lung cancer.Journal of biomedical science · 2020
    Review
  7. 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

9 authors at 4 institutions in 2 countries.

Ju YangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Ting XuDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Daniel R GomezDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Xianglin YuanDepartment of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Quynh-Nhu NguyenDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Melenda JeterDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yipeng SongDepartment of Radiation Oncology, Yuhuangding Hospital, Shandong, 264000, China.
Stephen HahnDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Zhongxing LiaoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
The University of Texas MD Anderson Cancer Center · USNanjing Drum Tower Hospital · CNTongji Hospital · CNYuhuangding Hospital · CN

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) in TGFβ1 can predict the risk of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC) after definitive radiotherapy. Here we investigated whether SNPs in TGFβ superfamily members BMP2 and BMP4 are associated with RP in such patients. In total, we retrospectively analyzed 663 patients given ≥ 60 Gy for NSCLC. We randomly assigned 323 patients to the training cohort and 340 patients to the validation cohort. Potentially functional and tagging SNPs of BMP2 (rs170986, rs1979855, rs1980499, rs235768, rs3178250) and BMP4 (rs17563, rs4898820, rs762642) were genotyped. The median of mean lung dose (MLD) was 17.9 Gy (range, 0.15-32.74 Gy). Higher MLD was strongly associated with increased risk of grade ≥ 2 RP (hazard ratio [HR]=2.191, 95% confidence interval [CI] = 1.680-2.856, P < 0.001) and grade ≥ 3 RP (HR = 4.253, 95% CI = 2.493-7.257, P < 0.001). In multivariate analyses, BMP2 rs235768 AT/TT was associated with higher risk of grade ≥ 2 RP (HR = 1.866, 95% CI = 1.221-2.820, P = 0.004 vs. AA) both in training cohort and validation cohort. Similar results were observed for BMP2 rs1980499. BMP2 rs3178250 CT/TT was associated with lower risk of grade ≥ 3 RP (HR = 0.406, 95% CI = 0.175-0.942, P = 0.036 vs. CC) in the pooled analysis. Adding the rs235768 and rs1980499 SNPs to a model comprising age, performance status, and MLD raised the Harrell's C for predicting grade ≥ 2 RP from 0.6117 to 0.6235 (P = 0.0105). SNPs in BMP2 can predict grade ≥ 2 or 3 RP after radiotherapy for NSCLC and improve the predictive power of MLD model. Validation is underway through an ongoing prospective trial.

Indexed as

AdultAgedAged, 80 and overBone Morphogenetic Protein 2Bone Morphogenetic Protein 4Carcinoma, Non-Small-Cell LungFemaleGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedPolymorphism, Single NucleotideRadiation PneumonitisRetrospective StudiesRiskBMP2 protein, humanBMP4 protein, humanBone Morphogenetic Protein 2Bone Morphogenetic Protein 4BMP2NSCLCpolymorphismradiation pneumonitis

Identifiers

PMID28574846
PMCPMC5522129
OpenAlexW2616043976

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.