Evidence map›Paper›PMID 39560884›Full record

ArticleCancer causes & control : CCC2025

Analysis of Lung Cancer Incidence in Non-Hispanic Black and White Americans using a Multistage Carcinogenesis Model.

Sarah Skolnick, Pianpian Cao, Jihyoun Jeon, S Lani Park, Daniel O Stram, Loïc Le Marchand, Rafael Meza

Abstract read
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Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sarah SkolnickDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Pianpian CaoDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
S Lani ParkEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Daniel O StramUniversity of Southern California, Los Angeles, CA, USA.
Loïc Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Rafael MezaDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA. rmeza@bccrc.ca.

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Biostatistics Training Program in Cancer ResearchT32CA083654 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Veerabhadran Baladandayuthapani, Kelley McLain Kidwell · 2002 to 2026
$4.3M
NCI NIH HHS T32 CA083654NCI NIH HHS U01 CA164973NCI NIH HHS U01 CA253858NCI NIH HHS U01CA253858
6 · The paper itself

Abstract

purposeThere are complex and paradoxical patterns in lung cancer incidence by race/ethnicity and gender; compared to non-Hispanic White (NHW) males, non-Hispanic Black (NHB) males smoke fewer cigarettes per day and less frequently but have higher lung cancer rates. Similarly, NHB females are less likely to smoke but have comparable lung cancer rates to NHW females. We use a multistage carcinogenesis model to study the impact of smoking on lung cancer incidence in NHB and NHW individuals in the Multiethnic Cohort Study (MEC).

methodsThe effects of smoking on the rates of lung tumor initiation, promotion, and malignant conversion, and the incidence of lung cancer in NHB versus NHW adults in the MEC were analyzed using the Two-Stage Clonal Expansion (TSCE) model. Maximum likelihood methods were used to estimate model parameters and assess differences by race/ethnicity, gender, and smoking history.

resultsSmoking increased promotion and malignant conversion but did not affect tumor initiation. Non-smoking-related initiation, promotion, and malignant conversion and smoking-related promotion and malignant conversion differed by race/ethnicity and gender. Non-smoking-related initiation and malignant conversion were higher in NHB than NHW individuals, whereas promotion was lower in NHB individuals.

conclusionFindings suggest that while smoking plays an important role in lung cancer risk, background risk not dependent on smoking also plays a significant and under-recognized role in explaining race/ethnicity differences. Ultimately, the resulting TSCE model will inform race/ethnicity-specific lung cancer natural history models to assess the impact of preventive interventions on US lung cancer outcomes and disparities by race/ethnicity.

Indexed as

Black or African AmericanCarcinogenesisLung NeoplasmsWhiteAdultAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSmokingUnited StatesBlack/African AmericansDisparitiesLung cancerSimulation model

Identifiers

PMID39560884
PMCPMC11928365

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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.