Evidence map›Paper›PMID 28968774›Full record

ArticleCarcinogenesis2017

Occupational exposure to diesel engine exhaust and alterations in immune/inflammatory markers: a cross-sectional molecular epidemiology study in China.

Bryan A Bassig, Yufei Dai, Roel Vermeulen, Dianzhi Ren, Wei Hu, Huawei Duan, Yong Niu, Jun Xu, Meredith S Shiels, Troy J Kemp and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  17. Journal of Cancer · 2018
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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

26 authors at 8 institutions in 4 countries.

Bryan A BassigDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Yufei DaiKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Roel VermeulenDivision of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Dianzhi RenChaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China.
Wei HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Huawei DuanKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Yong NiuKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Jun XuHong Kong University, Hong Kong, Hong Kong.
Meredith S ShielsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Troy J KempHPV Immunology Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Ligia A PintoHPV Immunology Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Wei FuChaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China.
Kees MeliefsteDivision of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Baosen ZhouChina Medical University, Shenyang, Liaoning, China.
Jufang YangChaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China.
Meng YeKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaowei JiaKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Tao MengKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Jason Y Y WongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Ping BinKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
H Dean HosgoodDivision of Epidemiology, Albert Einstein College of Medicine, New York, NY, USA.
Allan HildesheimDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Debra T SilvermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
Yuxin ZhengKey Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA.
National Institute for Occupational Health and Poison Control · CNUnited States Department of Health and Human Services · USDivision of Cancer Epidemiology and GeneticsFrederick National Laboratory for Cancer Research · USUtrecht University · NLAlbert Einstein College of Medicine · USChina Medical University · CNUniversity of Hong Kong · HK

Funding

Studies of Occupational CancerZIACP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI LAN, QING · 2009 to 2025
$34.4M
6 · The paper itself

Abstract

The relationship between diesel engine exhaust (DEE), a known lung carcinogen, and immune/inflammatory markers that have been prospectively associated with lung cancer risk is not well understood. To provide insight into these associations, we conducted a cross-sectional molecular epidemiology study of 54 males highly occupationally exposed to DEE and 55 unexposed male controls from representative workplaces in China. We measured plasma levels of 64 immune/inflammatory markers in all subjects using Luminex bead-based assays, and compared our findings to those from a nested case-control study of these markers and lung cancer risk, which had been conducted among never-smoking women in Shanghai using the same multiplex panels. Levels of nine markers that were associated with lung cancer risk in the Shanghai study were altered in DEE-exposed workers in the same direction as the lung cancer associations. Among these, associations with the levels of CRP (β= -0.53; P = 0.01) and CCL15/MIP-1D (β = 0.20; P = 0.02) were observed in workers exposed to DEE and with increasing elemental carbon exposure levels (Ptrends <0.05) in multivariable linear regression models. Levels of a third marker positively associated with an increased lung cancer risk, CCL2/MCP-1, were higher among DEE-exposed workers compared with controls in never and former smokers, but not in current smokers (Pinteraction = 0.01). The immunological differences in these markers in DEE-exposed workers are consistent with associations observed for lung cancer risk in a prospective study of Chinese women and may provide some insight into the mechanistic processes by which DEE causes lung cancer.

Indexed as

AdultAir Pollutants, OccupationalBiomarkersCarcinogensCase-Control StudiesChinaCross-Sectional StudiesGasolineHumansInflammationLungLung NeoplasmsMaleMolecular EpidemiologyOccupational ExposureProspective StudiesAir Pollutants, OccupationalBiomarkersCarcinogensGasolineVehicle Emissions

Identifiers

PMID28968774
PMCPMC5862277
OpenAlexW2743538384

What OpenQuestion holds

Textmetadata
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.