Kubytskyi Viacheslav, Khonkhodzhaev Masroor, Tanaka Aika, Nguyen Audrey, Lazarev Alexander, Aram Byron, Rogers Keith, Mourokh Lev, Lazarev Pavel
Matur UK Ltd., 5 New Street Square, London EC4A 3TW, UK.
Laboratoire de Physique des 2 Infinis Irène Joliot-Curie, UMR9012, CNRS, Université Paris-Saclay, Bât. 209, 91405 Orsay, France.
Molecules. 2025 Apr 8;30(8):1655. doi: 10.3390/molecules30081655.
As the number of new breast cancer cases grows around the world, there is an unmet need for fast, accurate, and low-cost methods of early cancer detection. It was previously shown that X-ray scattering on lipid molecules can provide the necessary structural biomarker. However, these measurements were performed on small ex vivo samples, and to ensure the progress to in vivo diagnostics, the approach should be extended to larger tissues. We use the phantom fat samples to establish such a procedure. In the obtained X-ray scattering patterns, we observe the characteristic features for the inter-fatty-acid molecular distance. The large size of the samples led to the peak broadening; however, the features remain visible up to 10 cm in thickness. The experimental data are in excellent agreement with the Monte Carlo simulations based on the form factors obtained from the small samples. Our results usher the way for the in vivo monitoring of the structural biomarkers of breast cancer.
随着全球新增乳腺癌病例数量的增加，对于快速、准确且低成本的早期癌症检测方法存在未被满足的需求。先前的研究表明，脂质分子上的X射线散射能够提供必要的结构生物标志物。然而，这些测量是在小型离体样本上进行的，为确保向体内诊断发展，该方法应扩展至更大的组织。我们使用模拟脂肪样本建立这样一种程序。在获得的X射线散射图案中，我们观察到脂肪酸分子间距离的特征。样本尺寸较大导致峰展宽；然而，这些特征在厚度达10厘米时仍清晰可见。实验数据与基于从小型样本获得的形状因子的蒙特卡罗模拟结果高度吻合。我们的结果为乳腺癌结构生物标志物的体内监测开辟了道路。
