Cargando…
Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer
Hepcidin is crucial in regulating iron metabolism, and increased serum levels were strongly linked with poor outcomes in various malignancies. Thus, we investigated if genetic variants in the BMP/Smad4/Hamp hepcidin‐regulating pathway were associated with outcomes in patients receiving definitive ra...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010922/ https://www.ncbi.nlm.nih.gov/pubmed/29745043 http://dx.doi.org/10.1002/cam4.1349 |
_version_ | 1783333692765110272 |
---|---|
author | Yang, Ju Xu, Ting Gomez, Daniel R. Yuan, Xianglin Nguyen, Quynh‐Nhu Jeter, Melenda Song, Yipeng Komaki, Ritsuko Hu, Ye Hahn, Stephen M. Liao, Zhongxing |
author_facet | Yang, Ju Xu, Ting Gomez, Daniel R. Yuan, Xianglin Nguyen, Quynh‐Nhu Jeter, Melenda Song, Yipeng Komaki, Ritsuko Hu, Ye Hahn, Stephen M. Liao, Zhongxing |
author_sort | Yang, Ju |
collection | PubMed |
description | Hepcidin is crucial in regulating iron metabolism, and increased serum levels were strongly linked with poor outcomes in various malignancies. Thus, we investigated if genetic variants in the BMP/Smad4/Hamp hepcidin‐regulating pathway were associated with outcomes in patients receiving definitive radiotherapy for NSCLC. Subjects were 664 NSCLC patients who received ≥60 Gy radiotherapy for NSCLC retrospectively identified from a single‐institution database. Potentially, functional and tagging single nucleotide polymorphisms (SNPs) of BMP2 (rs170986, rs1979855, rs1980499, rs235768, and rs3178250), BMP4 (rs17563, rs4898820, and rs762642), Smad4 (rs12456284), and Hamp (rs1882694, rs10402233, rs10421768, and rs12971321) were genotyped by TaqMan real‐time polymerase chain reaction. Cox proportional hazard's analyses were used to assess potential influences of SNPs on overall survival (OS), local‐regional progression‐free survival (LRPFS), progression‐free survival (PFS), and distant metastasis‐free survival (DMFS). Nomogram of each endpoint model was developed using R project. The median patient age was 66 years. Most (488 [73.2%]) had stage III NSCLC. Age, disease stage, receipt of concurrent chemotherapy, and gross tumor volume were independent factors of OS. Hamp rs1882694 AC/CC genotypes were associated with poor OS, LRPFS, PFS, and DMFS in multivariate analyses. Besides, BMP2 rs1979855, rs3178250, and rs1980499 associated with PFS; Hamp rs10402233 and BMP2 rs1979855 associated with LRPFS; BMP2 rs3178250 associated with DMFS after adjustment for clinical factors. After adding SNPs to each model, all the likelihood ratios were increased; the nomograms were improved significantly to predict LRPFS (P < 0.001) and PFS (P < 0.001), and marginally to predict OS (P = 0.056) and DM (P = 0.057). Our nomograms incorporating significant SNPs in the BMP/Smad4/Hamp hepcidin‐regulating pathway could improve the prediction of outcomes in patients given definitive radiotherapy for NSCLC. Intensified follow‐ups would be recommended for patients with unfavorable outcomes identified in nomograms. Due to the rapid developments of targeted therapies and immunotherapies for NSCLC, it is necessary to further validate our findings in patients receiving such treatments. |
format | Online Article Text |
id | pubmed-6010922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60109222018-06-27 Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer Yang, Ju Xu, Ting Gomez, Daniel R. Yuan, Xianglin Nguyen, Quynh‐Nhu Jeter, Melenda Song, Yipeng Komaki, Ritsuko Hu, Ye Hahn, Stephen M. Liao, Zhongxing Cancer Med Clinical Cancer Research Hepcidin is crucial in regulating iron metabolism, and increased serum levels were strongly linked with poor outcomes in various malignancies. Thus, we investigated if genetic variants in the BMP/Smad4/Hamp hepcidin‐regulating pathway were associated with outcomes in patients receiving definitive radiotherapy for NSCLC. Subjects were 664 NSCLC patients who received ≥60 Gy radiotherapy for NSCLC retrospectively identified from a single‐institution database. Potentially, functional and tagging single nucleotide polymorphisms (SNPs) of BMP2 (rs170986, rs1979855, rs1980499, rs235768, and rs3178250), BMP4 (rs17563, rs4898820, and rs762642), Smad4 (rs12456284), and Hamp (rs1882694, rs10402233, rs10421768, and rs12971321) were genotyped by TaqMan real‐time polymerase chain reaction. Cox proportional hazard's analyses were used to assess potential influences of SNPs on overall survival (OS), local‐regional progression‐free survival (LRPFS), progression‐free survival (PFS), and distant metastasis‐free survival (DMFS). Nomogram of each endpoint model was developed using R project. The median patient age was 66 years. Most (488 [73.2%]) had stage III NSCLC. Age, disease stage, receipt of concurrent chemotherapy, and gross tumor volume were independent factors of OS. Hamp rs1882694 AC/CC genotypes were associated with poor OS, LRPFS, PFS, and DMFS in multivariate analyses. Besides, BMP2 rs1979855, rs3178250, and rs1980499 associated with PFS; Hamp rs10402233 and BMP2 rs1979855 associated with LRPFS; BMP2 rs3178250 associated with DMFS after adjustment for clinical factors. After adding SNPs to each model, all the likelihood ratios were increased; the nomograms were improved significantly to predict LRPFS (P < 0.001) and PFS (P < 0.001), and marginally to predict OS (P = 0.056) and DM (P = 0.057). Our nomograms incorporating significant SNPs in the BMP/Smad4/Hamp hepcidin‐regulating pathway could improve the prediction of outcomes in patients given definitive radiotherapy for NSCLC. Intensified follow‐ups would be recommended for patients with unfavorable outcomes identified in nomograms. Due to the rapid developments of targeted therapies and immunotherapies for NSCLC, it is necessary to further validate our findings in patients receiving such treatments. John Wiley and Sons Inc. 2018-05-09 /pmc/articles/PMC6010922/ /pubmed/29745043 http://dx.doi.org/10.1002/cam4.1349 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Cancer Research Yang, Ju Xu, Ting Gomez, Daniel R. Yuan, Xianglin Nguyen, Quynh‐Nhu Jeter, Melenda Song, Yipeng Komaki, Ritsuko Hu, Ye Hahn, Stephen M. Liao, Zhongxing Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
title | Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
title_full | Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
title_fullStr | Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
title_full_unstemmed | Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
title_short | Nomograms incorporating genetic variants in BMP/Smad4/Hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
title_sort | nomograms incorporating genetic variants in bmp/smad4/hamp pathway to predict disease outcomes after definitive radiotherapy for non‐small cell lung cancer |
topic | Clinical Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010922/ https://www.ncbi.nlm.nih.gov/pubmed/29745043 http://dx.doi.org/10.1002/cam4.1349 |
work_keys_str_mv | AT yangju nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT xuting nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT gomezdanielr nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT yuanxianglin nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT nguyenquynhnhu nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT jetermelenda nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT songyipeng nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT komakiritsuko nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT huye nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT hahnstephenm nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer AT liaozhongxing nomogramsincorporatinggeneticvariantsinbmpsmad4hamppathwaytopredictdiseaseoutcomesafterdefinitiveradiotherapyfornonsmallcelllungcancer |