Potentially functional variants of HBEGF and ITPR3 in GnRH signaling pathway genes predict survival of non-small cell lung cancer patients.

Aged Bayes Theorem Biomarkers, Tumor / genetics Carcinoma, Non-Small-Cell Lung / genetics Female Genetic Predisposition to Disease Gonadotropin-Releasing Hormone / genetics Heparin-binding EGF-like Growth Factor / genetics Humans Inositol 1,4,5-Trisphosphate Receptors / genetics Kaplan-Meier Estimate Lung / metabolism Lung Neoplasms / genetics Male Middle Aged Polymorphism, Single Nucleotide Prognosis Quantitative Trait Loci RNA, Messenger / genetics Signal Transduction / genetics Translational Research, Biomedical

Journal

Translational research : the journal of laboratory and clinical medicine
ISSN: 1878-1810
Titre abrégé: Transl Res
Pays: United States
ID NLM: 101280339

Informations de publication

Date de publication:
07 2021
Historique:
received: 02 07 2020
revised: 08 12 2020
accepted: 30 12 2020
pubmed: 6 1 2021
medline: 7 8 2021
entrez: 5 1 2021
Statut: ppublish

Résumé

The gonadotropin-releasing hormone (GnRH) signaling pathway controls reproductive functions and cancer growth and progression. However, few studies investigated roles of genetic variants of GnRH pathway genes in survival of patients with non-small cell lung cancer (NSCLC). Therefore, we first evaluated associations between 22,528 single-nucleotide polymorphisms (SNPs) in 101 GnRH pathway genes and survival of 1185 NSCLC patients using a dataset from Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. We found 572 SNPs to be significantly associated with overall survival (OS) of NSCLC (P ≤ 0.05, Bayesian false discovery probability ≤0.80). We then validated these SNPs in another dataset with 984 NSCLC patients from the Harvard Lung Cancer Susceptibility Study. Finally, two independent SNPs (HBEGF rs4150236G>A and ITPR3 rs116454384C>T) remained significantly associated with NSCLC OS in the combined analysis with hazards ratios of 0.84 (95% confidence interval = 0.76-0.92, P = 0.0003) and 0.85 (0.78-0.94, 0.0012), respectively; their genetic score (the number of protective genotypes) was associated with a better OS and disease-specific survival (P

Identifiants

DOI: 10.1016/j.trsl.2020.12.009 PMID: 33400994 PMC: PMC8184605
pubmed: 33400994
pii: S1931-5244(20)30320-0
doi: 10.1016/j.trsl.2020.12.009
pmc: PMC8184605
mid: NIHMS1688134
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
HBEGF protein, human 0
Heparin-binding EGF-like Growth Factor 0
ITPR3 protein, human 0
Inositol 1,4,5-Trisphosphate Receptors 0
RNA, Messenger 0
Gonadotropin-Releasing Hormone 33515-09-2

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

92-103

Subventions

Organisme : NCI NIH HHS
ID : P20 CA090578
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS091307
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA092824
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA074386
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA090578
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA014236
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA209414
Pays : United States
Organisme : NIA NIH HHS
ID : R56 AG062302
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Yufeng Wu (Y)

Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China; Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.

Zhensheng Liu (Z)

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.

Dongfang Tang (D)

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.

Hongliang Liu (H)

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.

Sheng Luo (S)

Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.

Thomas E Stinchcombe (TE)

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina.

Carolyn Glass (C)

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Pathology, Duke University School of Medicine, Durham, North Carolina.

Li Su (L)

Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts.

Lijuan Lin (L)

Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.

David C Christiani (DC)

Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Qiming Wang (Q)

Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China. Electronic address: qimingwang1006@126.com.

Qingyi Wei (Q)

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina. Electronic address: qingyi.wei@duke.edu.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Théorème de Bayes › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Marqueurs biologiques tumoraux › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Tumeurs de l'appareil respiratoire › Tumeurs du poumon › Tumeurs des bronches › Carcinome bronchogénique › Carcinome pulmonaire non à petites cellules › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Phénomènes génétiques › Génotype › Prédisposition génétique à une maladie › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines de tissu nerveux › Neuropeptides › Hormones hypothalamiques › Hormones hypophysiotropes libératrices › Hormone de libération des gonadotrophines › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Facteurs biologiques › Protéines et peptides de signalisation intercellulaire › Protéines de la famille de l'EGF › Facteur de croissance de type EGF liant l'héparine › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Récepteurs cytoplasmiques et nucléaires › Récepteurs à l'inositol 1,4,5-triphosphate › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de survie › Estimation de Kaplan-Meier › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Appareil respiratoire › Poumon › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Tumeurs de l'appareil respiratoire › Tumeurs du poumon › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Phénomènes génétiques › Variation génétique › Polymorphisme génétique › Polymorphisme de nucléotide simple › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Diagnostic › Pronostic › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Phénomènes génétiques › Structures génétiques › Génome › Composants de génome › Locus génétiques › Locus de caractère quantitatif › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Acides nucléiques, nucléotides et nucléosides › Acides nucléiques › ARN › ARN messager › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Phénomènes physiologiques cellulaires › Transduction du signal › Potentially functional variants of HBEGF and...
questionsmedicales.fr › Disciplines des sciences naturelles › Science › Recherche › Recherche biomédicale › Recherche médicale translationnelle › Potentially functional variants of HBEGF and...