通过潜伏期模型和年龄分布确定原发性骨肉瘤和尤文氏肉瘤的损伤/触发事件时间

R. Loder, M. Sabatino
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引用次数: 0

摘要

肿瘤中触发事件的时间可以使用潜伏期建模技术来估计。我们将这些技术应用于原发性骨肉瘤和尤文氏骨肉瘤,使用监测流行病学和最终结果数据库,收集1993年至2010年所有骨肉瘤或尤文氏骨肉瘤病例。排除继发性肿瘤。收集患者的诊断年龄、性别、种族和解剖位置。使用诊断年龄的最佳拟合频率分布计算侮辱/触发事件的时间()。骨肉瘤4356例,尤文氏肉瘤1832例。Pearson IV分布最适合骨肉瘤()和尤文氏肉瘤()。在这些分布中,尤文氏肉瘤的年龄为- 0.7岁(受孕后4周),长骨骨肉瘤的年龄为0.45岁,骨旁骨肉瘤的年龄为10.4岁。这证实了尤因氏肉瘤的遗传病因,因为怀孕后4周。长骨骨肉瘤不完全是遗传性的,常规骨肉瘤为0.4年,骨旁骨肉瘤为10.4年。因此,这两种不同类型骨肉瘤的病因是不同的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Time of the Insult/Triggering Event in Primary Osteosarcoma and Ewing’s Sarcoma of Bone as Determined by Incubation Period Modeling and Age Distribution of Such Malignancies
The time for the triggering event in neoplasms can be estimated using incubation period modeling techniques. We applied these techniques to primary osteosarcoma and Ewing’s sarcoma of bone using the Surveillance Epidemiology and End Results database for all cases of osteosarcoma or Ewing’s sarcoma of bone from 1993 through 2010. Secondary neoplasms were excluded. The age at diagnosis, gender, ethnicity, and anatomic location were collected. The time ( ) of the insult/triggering event was calculated using the best fit frequency distribution of age at diagnosis. There were 4,356 patients with osteosarcoma and 1,832 patients with Ewing’s sarcoma. The Pearson IV distribution was the best fit for both osteosarcoma ( ) and Ewing’s sarcoma ( ). For these distributions is −0.7 years of age (4 weeks after conception) for Ewing’s sarcoma, 0.45 years for long bone osteosarcoma, and 10.4 years for parosteal osteosarcoma. This confirms the genetic etiology of Ewing’s sarcoma since an is 4 weeks after conception. Long bone osteosarcoma is not entirely genetic, as was 0.4 years for conventional osteosarcoma and 10.4 years for parosteal osteosarcoma. The etiologies for those two different types of osteosarcoma are thus different.
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