Malins D C, Polissar N L, Gunselman S J
Molecular Epidemiology Program, Pacific Northwest Research Foundation, Seattle, WA 98122, USA.
Proc Natl Acad Sci U S A. 1996 Nov 26;93(24):14047-52. doi: 10.1073/pnas.93.24.14047.
Wavenumber-absorbance relationships of infrared spectra of DNA analyzed by principal components analysis may be expressed as points in space. Each point represents a highly discriminating measure of DNA structure. Structural modifications of DNA, such as those induced by free radicals, alter vibrational and rotational motion and consequently change the spatial location of the points. Using this technology to analyze breast tumor DNA, we revealed a 94 degrees difference in direction between the progression of normal DNA-->primary tumor DNA and the progression of primary tumor DNA-->metastatic tumor DNA (P < 0.001). This sharp directional change was accompanied by a substantial increase in the structural diversity of the metastatic tumor DNA (P = 0.003), which, on the basis of the volume of the core cluster of points, could comprise as many as 11 x 10(9) different phenotypes. This suggests that the heterogeneity and varied physiological properties known to characterize malignant tumor cell populations may at least partially arise from these diverse phenotypes. The evidence suggests that the progression to the metastatic state involves structural modifications in DNA that are markedly different from the modifications associated with the formation of the primary tumor. Overall, the findings of this and earlier studies imply that the observed DNA alter-ations are a pivotal factor in the etiology of breast cancer and a formidable barrier to overcome in intervention to control the disease. In terms of cancer etiology and prediction, the technology described has potentially wide application to studies in which the structural status of DNA is an important consideration.
通过主成分分析对DNA红外光谱的波数-吸光度关系进行分析,可将其表示为空间中的点。每个点代表对DNA结构的一种高度区分性度量。DNA的结构修饰,如由自由基诱导产生的修饰,会改变振动和旋转运动,从而改变这些点的空间位置。利用这项技术分析乳腺肿瘤DNA,我们发现正常DNA向原发性肿瘤DNA进展与原发性肿瘤DNA向转移性肿瘤DNA进展之间的方向差异为94度(P < 0.001)。这种急剧的方向变化伴随着转移性肿瘤DNA结构多样性的显著增加(P = 0.003),基于点的核心簇的体积,其可能包含多达11×10⁹种不同的表型。这表明已知表征恶性肿瘤细胞群体的异质性和多样的生理特性可能至少部分源于这些多样的表型。有证据表明,向转移状态的进展涉及DNA的结构修饰,这些修饰与原发性肿瘤形成相关的修饰明显不同。总体而言,这项研究及早期研究的结果表明,观察到的DNA改变是乳腺癌病因中的一个关键因素,也是控制该疾病干预措施中需要克服的一个巨大障碍。就癌症病因和预测而言,所描述的技术在DNA结构状态是重要考虑因素的研究中可能具有广泛应用。