Evidence map›Paper›PMID 39752425›Full record

ArticlePloS one2025

Occult metastases and survival of lung cancer by clinical diagnosis and CT screening: A simulation study.

Xing Chen, Ghulam Muhammad Kanhar, Songli Hu, Chaomin Wu, Guanqun Chao, Mengqi Jing, Fengjiang Zhang, Millennia Young, Marek Kimmel, Liying Chen and 1 more

Abstract read
In one paragraph

Article in PloS one, 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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0citing papers 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Xing ChenDepartment of Medicine, Zhejiang Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Ghulam Muhammad KanharDepartment of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, Hangzhou, Zhejiang, China.
Songli HuDepartment of Anesthesiology, Second Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China.
Chaomin WuDepartment of Anesthesiology, The Fourth Affiliated Hospital, International Institute of Medicine, Zhejiang University School of Medicine, Yiwu, China.
Guanqun ChaoDepartment of Medicine, Zhejiang Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Mengqi JingDepartment of Medicine, Zhejiang Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Fengjiang ZhangDepartment of Anesthesiology, Second Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China.
Millennia YoungHuman Health and Performance Directorate / Biomedical Research & Environmental Sciences Division, NASA Johnson Space Center, Houston, Texas, United States of America.
Marek KimmelDepartments of Statistics and Bioengineering, Rice University, Houston, Texas, United States of America.
Liying ChenDepartment of Medicine, Zhejiang Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.ORCID 0000-0002-8895-3775
Olga Y GorlovaDepartment of Medicine Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas, United States of America.

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos · 2017 to 2026
$23.7M
ECOGENETIC STUDY OF LUNG CANCER IN MINORITIESR01CA055769 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 1991 to 2008
$5.3M
A genomewide study of lung cancer in never smokersR01CA149462 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GORLOVA, OLGA · 2010 to 2014
$4.4M
Modeling Lung Cancer: Risks, Progression, and ScreeningU01CA097431 · NCI · RICE UNIVERSITY · PI KIMMEL, MAREK · 2002 to 2009
$1.8M
Tobacco Smoke Sensitive Genes and Genetic Susceptibility to Small-Cell Lung CanceR03CA133885 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GORLOV, IVAN P · 2008 to 2009
$154k
Determining the importance of in vivo estrogen receptors and in vitro hormone modulation of Wnt/β-catenin signaling on Chlamydia infections.R03AI128050 · NIAID · EAST TENNESSEE STATE UNIVERSITY · PI HALL, JENNIFER LEANN · 2017 to 2018
$148k
NCI NIH HHS R01 CA055769NCI NIH HHS R01 CA149462NCI NIH HHS R03 CA133885NCI NIH HHS U01 CA097431NCI NIH HHS U19 CA203654NIAID NIH HHS R03 AI128050
6 · The paper itself

Abstract

objectivesIt is significant to know how much early detection and screening could reduce the proportion of occult metastases and benefit NSCLC patients.

methodsWe used previously designed and validated mathematical models to obtain the characteristics of LC in the population including undetectable metastases at the time of diagnosis. The survival was simulated using the survival functions from Surveillance, Epidemiology and End Results (SEER) data stratified by stage.

resultsBased on the simulations, 35.3% of patients diagnosed with stage N0M0 and 56.9% of those diagnosed with stage N1M0 had nodal or distant metastases that were not discovered at the time of diagnosis. Among clinically detected Stage I lung cancers with tumor diameter 1-2 cm, 78% were true stage N0M0 (no occult metastases) while it was only 37% for patients with tumor diameters of 2-3 cm. This size threshold can be translated into a 0.75-year the "window of opportunity" for the curable disease. In a comparative analysis of two simulated groups of individuals: (1) clinically diagnosed (2) diagnosed by screening with a varying screening frequency (quarterly, biannual, annual and biennial), it was estimated that, once the screening intervals become shorter, substantially more cancers are found, but at an expense of a higher radiation exposure. The simulation projected that the mortality reduction in screened patients depending on the frequency, ranged from 15.04% to 18.82%.

conclusionsThe probability of occult metastases significantly increases when the primary tumor exceeds 2 cm in diameter. Effective screening measures that detect smaller tumors will considerably benefit asymptomatic LC patients.

Indexed as

Early Detection of CancerLung NeoplasmsTomography, X-Ray ComputedCarcinoma, Non-Small-Cell LungComputer SimulationFemaleHumansMaleNeoplasm MetastasisNeoplasm StagingSEER ProgramSurvival Analysis

Identifiers

PMID39752425
PMCPMC11698447

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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.