Evidence map›Paper›PMID 36402971›Full record

ArticleBMC cancer2022

Quantifying substantial carcinogenesis of genetic and environmental factors from measurement error in the number of stem cell divisions.

Xinhui Liu, Jifeng Yang, Hongkai Li, Qing Wang, Yuanyuan Yu, Xiaoru Sun, Shucheng Si, Lei Hou, Lu Liu, Fan Yang and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. 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
0.1field-weighted citation impact, top 59% of its field
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 citations in OpenAlex.

  1. Clinical Medicine Insights. Oncology · 2024
    Review
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

19 authors at 3 institutions in 1 country.

Xinhui Liu *Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Jifeng Yang *Shandong Health Care Industry Association, Jinan, Shandong, 250002, China.
Hongkai LiDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Qing WangDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Yuanyuan YuDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Xiaoru SunDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Shucheng SiDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Lei HouDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Lu LiuDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Fan YangDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Ran YanDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Yifan YuDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China.
Zhentao FuShandong Center for Disease Control and Prevention, Jinan, Shandong, 250014, China.
Zilong LuShandong Center for Disease Control and Prevention, Jinan, Shandong, 250014, China.
Dejin LiShandong Provincial Big Data Center, Jinan, Shandong, 250011, China.
Hao XueDepartment of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.
Xiaolei GuoShandong Center for Disease Control and Prevention, Jinan, Shandong, 250014, China.
Fuzhong XueDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China. xuefzh@sdu.edu.cn.
Xiaokang JiDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhuaxi RoadShandong Province, Shandong, 250012, Jinan, China. jxk@sdu.edu.cn.ORCID http://orcid.org/0000-0003-0378-7956
Shandong University · CNShandong Center for Disease Control and Prevention · CNQilu Hospital of Shandong University · CN

Funding

National Natural Science Foundation of China 81773547Natural Science Foundation of Shandong Province ZR2019ZD02shandong provincial key research and development project 2018CXGC1210the national key research and development program of china 2020YFC2003500the national natural science foundation of china 82003557
6 · The paper itself

Abstract

backgroundThe relative contributions of genetic and environmental factors versus unavoidable stochastic risk factors to the variation in cancer risk among tissues have become a widely-discussed topic. Some claim that the stochastic effects of DNA replication are mainly responsible, others believe that cancer risk is heavily affected by environmental and hereditary factors. Some of these studies made evidence from the correlation analysis between the lifetime number of stem cell divisions within each tissue and tissue-specific lifetime cancer risk. However, they did not consider the measurement error in the estimated number of stem cell divisions, which is caused by the exposure to different levels of genetic and environmental factors. This will obscure the authentic contribution of environmental or inherited factors.

methodsIn this study, we proposed two distinct modeling strategies, which integrate the measurement error model with the prevailing model of carcinogenesis to quantitatively evaluate the contribution of hereditary and environmental factors to cancer development. Then, we applied the proposed strategies to cancer data from 423 registries in 68 different countries (global-wide), 125 registries across China (national-wide of China), and 139 counties in Shandong province (Shandong provincial, China), respectively.

resultsThe results suggest that the contribution of genetic and environmental factors is at least 92% to the variation in cancer risk among 17 tissues. Moreover, mutations occurring in progenitor cells and differentiated cells are less likely to be accumulated enough for cancer to occur, and the carcinogenesis is more likely to originate from stem cells. Except for medulloblastoma, the contribution of genetic and environmental factors to the risk of other 16 organ-specific cancers are all more than 60%.

conclusionsThis work provides additional evidence that genetic and environmental factors play leading roles in cancer development. Therefore, the identification of modifiable environmental and hereditary risk factors for each cancer is highly recommended, and primary prevention in early life-course should be the major focus of cancer prevention.

Indexed as

Cerebellar NeoplasmsMedulloblastomaCarcinogenesisCell Self RenewalHumansRisk FactorsCancer preventionEnvironmentEpidemiologyMeasurement errorStem cell division

Identifiers

PMID36402971
PMCPMC9675110
OpenAlexW4309561255

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.