Evidence map›Paper›PMID 39510229›Full record

ArticleEnvironmental research2025

Ambient beta particle radioactivity and lung cancer survival: Results from the Boston Lung Cancer Study.

Mi-Sun S Lee, Ki-Do Eum, Longxiang Li, John Iafrate, Michael Lanuti, Petros Koutrakis, David C Christiani

Abstract read
In one paragraph

Article in Environmental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Review
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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

7 authors.

Mi-Sun S LeeDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ki-Do EumDepartment of Civil and Environmental Engineering, School of Engineering, Tufts University, Medford, MA, USA; Ariadne Labs at Brigham and Women's Hospital and the Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Longxiang LiExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
John IafrateDivision of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA.
Michael LanutiDivision of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA.
Petros KoutrakisExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: dchris@hsph.harvard.edu.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
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
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
A nationwide population-based study investigating the cardiovascular effects of exposure to particulate matter α-, β-, and γ-activities and individual radionuclidesR01ES035390 · NIEHS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI PETROS KOUTRAKIS, Antonella Zanobetti · 2024 to 2026
$1.9M
Estimating acute impacts of unconventional oil and gas development on cause-specific hospitalization via satellite-based exposure assessmentK99ES034459 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LI, LONGXIANG · 2022 to 2023
$204k
EPA R835872NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA209414NIEHS NIH HHS K99 ES034459NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES035390
6 · The paper itself

Abstract

backgroundExposure to ionizing radiation is known to increase the risk of lung cancer. However, studies on the effect of environmental radiation associated with ambient particle air pollution on lung cancer survival are limited. We investigated the association between ambient beta particle radioactivity (PR-β) after a diagnosis and lung cancer survivals.

methodsThe Boston Lung Cancer Survival (BLCS) cohort consisted of histologically confirmed patients enrolled at Massachusetts General Hospital (MGH) and the Dana-Farber Cancer Institute (DFCI) in Boston, U.S. The primary outcomes included overall survival, 5-year survival, and 3-year survival probability. We estimated ambient PR-β exposure at the ZIP code of residence from 2001 through 2017. Cox-proportional hazards models were constructed to estimate hazard ratios (HRs) for the associations between ambient PR-β and survival outcomes while controlling for covariates.

resultsThe analysis included 2795 patients with complete information, with 97,330 person-months of follow-up. The interquartile range (IQR) increase in PR-β was significantly associated with worse overall survival (HR:1.63, 95% CI:1.52, 1.76), 5-year survival (HR:1.33, 95% CI:1.23, 1.44), and 3-year survival (HR:1.22, 95% CI:1.12, 1.33) while adjusting for covariates, including age at diagnosis, sex, race, smoking, stage, histology, and adjusted gross income. Similar associations were found while additionally adjusting for the estimated residential radon exposure. In addition, the survival associated with PR-β exposure was significantly worse for patients in the early stages (HR:2.16, 95% CI:1.84, 2.52).

conclusionThe findings from this study provide new evidence suggesting that environmental exposure to radioactive particles after lung cancer diagnosis may have a pronounced effect on survival, particularly in patients with early stages.

Indexed as

Beta ParticlesLung NeoplasmsAdultAgedAged, 80 and overBostonCohort StudiesEnvironmental ExposureFemaleHumansMaleMiddle AgedProportional Hazards ModelsCancer epidemiologyEnvironmental healthLung cancerParticle radioactivity

Identifiers

PMID39510229
PMCPMC11631657

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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.