Evidence map›Paper›PMID 40979856›Full record

ArticleCurrent research in toxicology2025

Indoor airborne carcinogen synergy in children: systematic interdisciplinary approach to PM2.5-nicotine driven lung tumorigenesis and targeted intervention.

Boyu Pan, Xiwen Feng, Fujian Jiang, Rui Li, Han Zhu, Kunpeng Wang

Abstract read
In one paragraph

Article in Current research in toxicology, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Boyu PanTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Xiwen FengSchool of Civil Engineering, Guangzhou University, Guangzhou 510006, China.
Fujian JiangSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Rui LiTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Han ZhuSchool of Mechanical Engineering, Tongji University, Shanghai 200092, China.
Kunpeng WangTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indoor air environment has become an essential environmental factor affecting children's health and safety, among which nicotine and PM2.5, two common combined factors, have become pathogenic factors in indoor area that induce lung cancer in children. In order to reveal the specific mechanism of that, we developed the model of Systematic Environmental Information Medicine Engineering (SEIME), which combines environmental engineering, bioinformatics, and computational biology multidisciplinary approaches. We initially developed a comprehensive computational fluid dynamics (CFD) model, which was subsequently integrated with data from the GEO database, TCGA database, single-cell online databases, and molecular docking analyses to enhance our research framework. CFD results revealed that indoor concentrations of PM2.5 and nicotine were significantly higher than the recommended values of 15 µg/m

Indexed as

ChildrenIndoor air pollutionNicotineNon small cell lung cancer (NSCLC)PM2.5Systematic environmental information medicine engineering (SEIME)

Identifiers

PMID40979856
PMCPMC12447899

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Registered trials

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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.