Evidence map›Paper›PMID 41217827›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Multiple Primary Cancer Incidence by County-Level Smoking Prevalence among U.S. Cancer Survivors.

Hui G Cheng, Susan Hong, Oxana Palesh, Robert A Winn, Renato Martins, Katherine Y Tossas

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Hui G Cheng *Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0001-7252-5090
Susan Hong *Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0002-8754-4523
Oxana PaleshMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0002-5695-8678
Robert A WinnMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0001-5948-9291
Renato MartinsMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0001-8105-4219
Katherine Y TossasMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0001-6872-2294

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
Multicenter Randomized Controlled Trial of Brief Behavioral Therapy for Cancer Related InsomniaR01CA239714 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI PALESH, OXANA G · 2020 to 2025
$4.5M
Very-long Term Neurocognitive Outcomes in Breast Cancer Survivors (ProbC2)R01CA172145 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KESLER, SHELLI R, PALESH, OXANA G · 2012 to 2024
$3.3M
Predicting Long-Term Chemotherapy-Related Cognitive ImpairmentR01CA226080 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI KESLER, SHELLI R, PALESH, OXANA G · 2019 to 2024
$3.1M
Elucidating the Role of the Vaginal Microbiome in Racial Disparities in Precancerous Cervical Lesions: A Multi-level StudyK01CA285946 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Katherine Y Tossas · 2024 to 2026
$551k
National Cancer Institute (NCI) K01-CA285946National Cancer Institute (NCI) P30-CA016059National Cancer Institute (NCI) R01-CA172145National Cancer Institute (NCI) R01-CA226080National Cancer Institute (NCI) R01-CA239714NCI NIH HHS K01 CA285946NCI NIH HHS P30 CA016059NCI NIH HHS R01 CA172145NCI NIH HHS R01 CA226080NCI NIH HHS R01 CA239714
6 · The paper itself

Abstract

backgroundAs the number of cancer survivors in the United States grows, multiple primary cancer (MPC) has become an increasing public health concern. Understanding geographic variation in MPC incidence can inform targeted public health strategies. In this study, we aimed to examine associations between MPC incidence and county-level cigarette smoking (smoking) prevalence.

methodsWe conducted a retrospective cohort study using data from the Surveillance, Epidemiology, and End Results 17 registries, representing 26.5% of the U.S. population. The cohort included 6,364,027 individuals diagnosed with an initial primary cancer between 2000 and 2021, followed through December 2021. County-level smoking prevalence was the primary exposure. The main outcome was MPC incidence, assessed using observed-to-expected ratios across strata of smoking prevalence. Analyses were stratified by sex, age, and race/ethnicity.

resultsObserved-to-expected ratios of MPC increased with higher county-level smoking prevalence, from 1.02 (95% CI, 1.01-1.03) among males and 1.24 (95% CI, 1.22-1.25) in females in low-prevalence counties to 1.34 (95% CI, 1.31-1.38) and 1.53 (95% CI, 1.49-1.58), respectively, in high-prevalence counties. Robust relationships were observed among individuals diagnosed with their initial cancer at ages 45 to 64.

conclusionCounty-level smoking prevalence is positively associated with MPC incidence. These findings support the need for targeted, community-level tobacco control interventions to reduce MPC risk. IMPACT: By linking county-level smoking prevalence to MPC risk, this study highlights the potential utility of community-level data in identifying high-risk populations and guiding tobacco control and survivorship interventions.

Indexed as

Cancer SurvivorsCigarette SmokingNeoplasms, Multiple PrimarySmokingAdultAgedFemaleHumansIncidenceMaleMiddle AgedPrevalenceRetrospective StudiesSEER ProgramUnited States

Identifiers

PMID41217827
PMCPMC12895555

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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.