Evidence map›Paper›PMID 33651148›Full record

ArticleCancer immunology, immunotherapy : CII2021

Potentially functional variants of ERAP1, PSMF1 and NCF2 in the MHC-I-related pathway predict non-small cell lung cancer survival.

Sen Yang, Dongfang Tang, Yu Chen Zhao, Hongliang Liu, Sheng Luo, Thomas E Stinchcombe, Carolyn Glass, Li Su, Sipeng Shen, David C Christiani and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Sen Yang *Department of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.
Dongfang Tang *Duke University Medical Center and Department of Population Health Sciences, Duke Cancer Institute, Duke University School of Medicine, 905 S LaSalle Street, Durham, NC, 27710, USA.
Yu Chen ZhaoDuke University Medical Center and Department of Population Health Sciences, Duke Cancer Institute, Duke University School of Medicine, 905 S LaSalle Street, Durham, NC, 27710, USA.
Hongliang LiuDuke University Medical Center and Department of Population Health Sciences, Duke Cancer Institute, Duke University School of Medicine, 905 S LaSalle Street, Durham, NC, 27710, USA.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Thomas E StinchcombeDuke University Medical Center and Department of Population Health Sciences, Duke Cancer Institute, Duke University School of Medicine, 905 S LaSalle Street, Durham, NC, 27710, USA.
Carolyn GlassDuke University Medical Center and Department of Population Health Sciences, Duke Cancer Institute, Duke University School of Medicine, 905 S LaSalle Street, Durham, NC, 27710, USA.
Li SuDepartments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA.
Sipeng ShenDepartments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA.
David C ChristianiDepartments of Environmental Health and Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA.
Qiming WangDepartment of Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China. qimingwang1006@126.com.
Qingyi WeiDuke University Medical Center and Department of Population Health Sciences, Duke Cancer Institute, Duke University School of Medicine, 905 S LaSalle Street, Durham, NC, 27710, USA. qingyi.wei@duke.edu.ORCID http://orcid.org/0000-0002-3845-9445
Duke University · USHarvard University · USZhengzhou University · CN

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Translational studies of Hsp90 inhibitors in NSCLCP50CA090578 · NCI · DANA-FARBER CANCER INST · PI YEAP, BEOW Y · 2008 to 2012
$11.4M
Molecular and Genetic Analysis of Lung Cancer SurvivalR01CA092824 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2002 to 2013
$5.9M
SPORE in Lung CancerP20CA090578 · NCI · DANA-FARBER CANCER INSTITUTE · PI JOHNSON, BRUCE E. · 2003 to 2007
$5.1M
GENETIC SUSCEPTIBILITY TO LUNG CANCERR01CA074386 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 1997 to 2008
$4.8M
Statistical Methods for Clinical Trials with Multivariate Longitudinal OutcomesR01NS091307 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LUO, SHENG · 2015 to 2018
$1.2M
Shared genetic, epigenetic, and transcriptomic profiles between AD and PTSD: molecular insights into the heterogeneity of neuropsychiatric symptoms in Alzheimers DiseaseR56AG062302 · NIA · DUKE UNIVERSITY · PI CHIBA-FALEK, ORNIT, LUO, SHENG · 2018 to 2018
$788k
National Institutes of Health (US) CA092824, 5U01CA209414, CA074386, CA090578, R01NS091307 and R56AG062302NCI NIH HHS P20 CA090578NCI NIH HHS P30 CA014236NCI NIH HHS P50 CA090578NCI NIH HHS R01 CA074386NCI NIH HHS R01 CA092824NCI NIH HHS U01 CA209414NIA NIH HHS R56 AG062302NINDS NIH HHS R01 NS091307the Duke Cancer Institute as part of the P30 Cancer Center Support Grant NIH/NCI CA014236The V Foundation for Cancer Research D2017-19
6 · The paper itself

Abstract

backgroundCellular immunity against tumor cells is highly dependent on antigen presentation by major histocompatibility complex class I (MHC-I) molecules. However, few published studies have investigated associations between functional variants of MHC-I-related genes and clinical outcomes of lung cancer patients.

methodsWe performed a two-phase Cox proportional hazards regression analysis by using two previously published genome-wide association studies to evaluate associations between genetic variants in the MHC-I-related gene set and the survival of non-small cell lung cancer (NSCLC) patients, followed by expression quantitative trait loci analysis.

resultsOf the 7811 single-nucleotide polymorphisms (SNPs) in 89 genes of 1185 NSCLC patients in the discovery dataset of the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial, 24 SNPs remained statistically significant after validation in additional 984 NSCLC patients from the Harvard Lung Cancer Susceptibility Study. In a multivariate stepwise Cox model, three independent functional SNPs (ERAP1 rs469783 T > C, PSMF1 rs13040574 C > A and NCF2 rs36071574 G > A) remained significant with an adjusted hazards ratio (HR) of 0.83 [95% confidence interval (CI) = 0.77-0.89, P = 8.0 × 10

conclusionThese potentially functional SNPs of the MHC-I-related genes may be biomarkers for NSCLC survival, possibly through modulating the expression of corresponding genes.

Indexed as

AminopeptidasesCarcinoma, Non-Small-Cell LungFemaleGenetic VariationHistocompatibility Antigens Class IHumansLung NeoplasmsMaleMinor Histocompatibility AntigensNADPH OxidasesPolymorphism, Single NucleotideProteasome Endopeptidase ComplexAminopeptidasesERAP1 protein, humanHistocompatibility Antigens Class IMinor Histocompatibility AntigensNADPH OxidasesNCF2 protein, humanProteasome Endopeptidase ComplexPSMF1 protein, humanGenome-wide association studyMHC-I pathwayNon–small cell lung cancerSingle nucleotide polymorphismsSurvival

Identifiers

PMID33651148
PMCPMC8410895
OpenAlexW3135358665

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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.