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Cancer-related changes in prostate DNA as men age and early identification of metastasis in primary prostate tumors

机译:随着年龄的增长,前列腺DNA中与癌症相关的变化以及对原发性前列腺肿瘤转移的早期识别

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摘要

Using statistical analyses of Fourier transform-IR spectra, we show that DNA of the histologically normal prostates of men 16–80 years old undergoes structural changes in the bases and backbone with increasing age. Of the older men (ages 55–80), 42% exhibited a DNA phenotype mimicking that of primary prostate tumors from a comparable age group. This cancer-like phenotype, which was not found in the younger men (ages 16–36), appears to arise from progressive age-related damage to DNA. The mean concentrations of 8-hydroxypurine lesions (e.g., 8-hydroxyguanine) were substantially higher for the older men than for the younger men. This finding suggests that the hydroxyl radical contributed to the structural changes that characterize the cancer-like phenotype. Strikingly, we were additionally able to discriminate between the DNA of primary prostate tumors and the DNA of primary prostate tumors from which distant metastases had been identified. Moreover, logistic regression analysis was able to predict the probability that a tumor had metastasized with ≈90% sensitivity and specificity. Collectively, these findings are particularly promising for identifying men at risk for developing prostate cancer, as well as for the early determination of whether a primary tumor has progressed to the metastatic state. This is highly important because the prognosis of histologically similar prostate carcinomas varies, thus creating a need to predict which cancers are most likely metastatic.
机译:使用傅里叶变换红外光谱的统计分析,我们发现16-80岁男性组织学正常的前列腺DNA随年龄的增长而发生碱基和骨干结构的变化。在年龄较大的男性(55-80岁)中,有42%的人表现出的DNA表型与可比年龄组的原发性前列腺肿瘤的表型相似。在较年轻的男性(16-36岁)中没有发现这种类似癌症的表型,似乎是由与年龄相关的DNA损伤引起的。老年男性的8-羟基嘌呤损伤(例如8-羟基鸟嘌呤)的平均浓度明显高于年轻男性。该发现表明羟基自由基促成了表征癌症样表型的结构变化。令人惊讶的是,我们还能够区分原发性前列腺癌的DNA和已鉴定出远处转移的原发性前列腺癌的DNA。此外,逻辑回归分析能够以约90%的敏感性和特异性预测肿瘤转移的可能性。总的来说,这些发现对于鉴定有患前列腺癌危险的男性以及早期确定原发性肿瘤是否已发展成转移状态特别有希望。这是非常重要的,因为组织学相似的前列腺癌的预后会有所不同,因此需要预测哪些癌症最有可能转移。

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