Abstract | OBJECTIVE: METHOD: Between January 2007 and June 2011, 248 children (< 15 years) with hypocytosis were included. Chromosomal breakage was induced by MMC 0 ng/ml, 40 ng/ml, and 80 ng/ml. SCGE was performed at the same time. We analyzed the results of the two methods and compared with each other. The receiver operating characteristic (ROC) curve was used to evaluate the parameters in SCGE. RESULT: Seventeen patients were diagnosed as FA and 231 as non-FA. Chromosomal breakage was found to be significantly higher in FA patients [(32.2 ± 4.8)%] than non-FA [(19.9 ± 3.0)%] and controls[(21.6 ± 4.8)%] when induced by MMC 80 ng/ml. The parameters of SCGE were significantly different between FA patients and non-FA or controls. All the parameters were rectilinearly correlated with MMC (P = 0.000). The most closely correlated parameter was the rate of comet cell (r = 0.848, P = 0.000). The results of ROC curves suggested the comet cell rate (0.999) was more important. CONCLUSION: SCGE might be used to discriminate between FA and non-FA individuals. The relationship between SCGE and MMC-induced chromosomal breakage was significant. The rate of comet cell was the important parameter.
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Authors | Li Zhang, Qiang Liu, Yao Zou, Xiao-ming Liu, Jia-yuan Zhang, Shu-chun Wang, Xiao-juan Chen, Ye Guo, Wen-yu Yang, Min Ruan, Tian-feng Liu, Fang Liu, Xiao-jin Cai, Yu-mei Chen, Xiao-fan Zhu |
Journal | Zhonghua er ke za zhi = Chinese journal of pediatrics
(Zhonghua Er Ke Za Zhi)
Vol. 51
Issue 2
Pg. 122-5
(Feb 2013)
ISSN: 0578-1310 [Print] China |
PMID | 23527978
(Publication Type: English Abstract, Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Adolescent
- Anemia, Aplastic
(diagnosis)
- Case-Control Studies
- Child
- Child, Preschool
- Chromosomal Instability
- Chromosome Breakage
(drug effects)
- Comet Assay
(methods)
- DNA Damage
- Diagnosis, Differential
- Fanconi Anemia
(diagnosis, genetics)
- Female
- Humans
- Infant
- Male
- Mitomycin
(pharmacology)
- Mosaicism
- Pancytopenia
(diagnosis, genetics)
- ROC Curve
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