The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis.
The Pan-Cytokeratin Staining Intensity and Fractal Computational Analysis of Breast Tumor Malignant Growth Patterns Prognosticate the Occurrence of Distant Metastasis.
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DOI：
10.3389/fonc.2018.00348
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发表时间：
2018
影响因子：
4.7
通讯作者：
Milošević NT
中科院分区：
文献类型：
--
作者：
Rajković N;Li X;Plataniotis KN;Kanjer K;Radulovic M;Milošević NT
乳腺癌预后的改善可以通过可靠地识别转移发生高风险的患者来延长患者的生存期，这些患者可以从更积极的治疗中获益。基于这种临床需要，我们对乳腺肿瘤中的恶性细胞进行预后评估，作为未开发的预后信息的明显潜在来源。患者组均质性好，未进行全身治疗或淋巴结转移，肿瘤大小较小（pT1/2），随访时间长。上皮细胞用AE1/AE3泛细胞角蛋白抗体鸡尾酒标记，综合分析。应用单分形和多重分形分析定量分析恶性细胞簇的分布、形状、复杂性和纹理，平均像素强度和总面积是泛细胞角蛋白免疫染色强度的度量。结果令人惊讶地表明，简单的二值图像和单分形分析比灰度图像和多重分形分析提供了更好的预测信息。主要发现是恶性细胞簇的形状和分布（二元分形维数，AUC = 0.29），其轮廓形状（轮廓分形维数，AUC = 0.31）和泛细胞角蛋白免疫染色强度（平均像素强度，AUC = 0.30）在转移风险预测中具有重要作用。结果显示低泛细胞角蛋白染色强度与高转移风险之间存在关联。另一个有趣的结果是，多变量分析只能证实分形的预后独立性，而不能证实免疫染色强度特征。获得的结果揭示了一些新颖和意想不到的发现，突出了乳腺肿瘤中恶性细胞簇分布和轮廓形状的独立预后功效。
Improved prognosis of breast cancer outcome could prolong patient survival by reliable identification of patients at high risk of metastasis occurrence which could benefit from more aggressive treatments. Based on such clinical need, we prognostically evaluated the malignant cells in breast tumors, as the obvious potential source of unexploited prognostic information. The patient group was homogeneous, without any systemic treatments or lymph node spread, with smaller tumor size (pT1/2) and a long follow-up. Epithelial cells were labeled with AE1/AE3 pan-cytokeratin antibody cocktail and comprehensively analyzed. Monofractal and multifractal analyses were applied for quantification of distribution, shape, complexity and texture of malignant cell clusters, while mean pixel intensity and total area were measures of the pan-cytokeratin immunostaining intensity. The results surprisingly indicate that simple binary images and monofractal analysis provided better prognostic information then grayscale images and multifractal analysis. The key findings were that shapes and distribution of malignant cell clusters (by binary fractal dimension; AUC = 0.29), their contour shapes (by outline fractal dimension; AUC = 0.31) and intensity of the pan-cytokeratin immunostaining (by mean pixel intensity; AUC = 0.30) offered significant performance in metastasis risk prognostication. The results reveal an association between the lower pan-cytokeratin staining intensity and the high metastasis risk. Another interesting result was that multivariate analysis could confirm the prognostic independence only for fractal but not for immunostaining intensity features. The obtained results reveal several novel and unexpected findings highlighting the independent prognostic efficacy of malignant cell cluster distribution and contour shapes in breast tumors.
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DOI：
10.1007/s12253-011-9387-6
发表时间：
2011-12
期刊：
Pathology oncology research : POR
影响因子：
--
作者：
Rykala J;Przybylowska K;Majsterek I;Pasz-Walczak G;Sygut A;Dziki A;Kruk-Jeromin J
通讯作者：
Kruk-Jeromin J
DOI：
10.1186/bcr3639
发表时间：
2014
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
Laurinavicius A;Plancoulaine B;Laurinaviciene A;Herlin P;Meskauskas R;Baltrusaityte I;Besusparis J;Dasevicius D;Elie N;Iqbal Y;Bor C
通讯作者：
Bor C
影响因子：
3.2
作者：
Laurinavicius, Arvydas;Laurinaviciene, Aida;Herlin, Paulette
通讯作者：
Herlin, Paulette
影响因子：
2.8
作者：
Vujasinovic, Tijana;Pribic, Jelena;Radulovic, Marko
通讯作者：
Radulovic, Marko
影响因子：
1.2
作者：
Zeng, Jennifer;Alexander, Melissa Ann;Darvishian, Farbod
通讯作者：
Darvishian, Farbod