RADIATION PROTECTION ›› 2026, Vol. 46 ›› Issue (5): 456-461.doi: 10.27045/j.1000-8187.202605009

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Research on the attribution of lung cancer in miners based on different risk factors

REN Yue1,2, LI Youchen2, LIU Senlin1   

  1. 1. China Institute of Atomic Energy,Beijing 102413;
    2. China Institute for Radiation Protection,Taiyuan 030006
  • Received:2026-03-27 Published:2026-10-28

Abstract: Radon and its progeny are classified as Group 1 carcinogens. The attribution determination of lung cancer caused by high radon exposure among miners is key to the diagnosis of occupational radioactive tumors. To optimize the attribution method for radon-induced lung cancer in China and reduce the attribution bias caused by the transfer of risks across populations, this study constructed a new attribution method based on the excess relative risk (ERR) coefficient of radon-induced lung cancer obtained from the uranium miner cohort study in China. 177 cases of miner lung cancer with a history of smoking were selected, and the attribution analysis was conducted simultaneously using both the new method and the method of GBZ 97—2017. The attribution results of different methods were compared and the causes of the differences were analyzed. The results showed that the total attribution rates of the two methods were similar (new method 45%, standard method 43%), but there was a significant difference in the <20WLM low-dose area. The attributable rate of the new method was only 3%, which was 1/4 of the standard method. A total of 16 cases had conflicting attribution results. Among them, 6 cases with low radon exposure and low attained age could be attributed by the standard method but not by the new method, and 10 cases with high radon exposure and high attained age could be attributed by the new method but not by the standard method. In summary, the new method based on the ERR coefficient of the local cohort has a higher dose correlation and lower age correlation, which can effectively avoid the uncertainty caused by using data from foreign populations and is in line with the characteristics of the Chinese population and the continuity of occupational health policies. It provides core methodological support and a data reference for the optimization and upgrading of the attribution method for radon-induced lung cancer in China.

Key words: radon-induced lung cancer, excess relative risk(ERR), probability of causation(PC)

CLC Number: 

  • R144