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Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer

机译：从病理学中断的空间转录组织将肿瘤异质性与乳腺癌和肺癌的生存相连

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Alona Levy-Jurgenson; Xavier Tekpli; Vessela N. Kristensen; Zohar Yakhini;
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1. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy [J] . Wu Jia, Cao Guohong, Sun Xiaoli, Radiology . 2018,第1期

机译：灌注MR成像的肿瘤内空间异质性预测局部晚期乳腺癌的无复发存活，治疗Neoadjuvant化疗治疗
2. Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome [J] . Shidan Wang, Alyssa Chen, Lin Yang, Scientific reports. . 2018,第1期

机译：肺癌病理图像的综合分析，以发现可预测生存结果的肿瘤形状和边界特征
3. Predicting neo‐adjuvant chemotherapy response and progression‐free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F‐18 FDG PET FDG PET / CT CT and diffusion‐weighted MR MR imaging [J] . Yoon Hai‐Jeon, Kim Yemi, Chung Jin, The breast journal . 2019,第3期

机译：在F-18 FDG PET FDG PET / CT CT和扩散加权MR MR Imaging中，使用肿瘤异质性的肿瘤特征预测局部晚期乳腺癌的新辅助化疗响应和无进展生存期
4. Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy [C] . Jiangdian Song, Di Dong, Yanqi Huang, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2016

机译：接受酪氨酸激酶抑制剂治疗的EGFR突变非小细胞肺癌患者肿瘤异质性与无进展生存的关系
5. Comparing gene expression profiles of cell culture models with profiles of tumor xenografts and patient tumors: Implications for lung and breast cancers. [D] . Creighton, Chad J. 2006

机译：将细胞培养模型的基因表达谱与异种移植瘤和患者肿瘤谱进行比较：对肺癌和乳腺癌的影响。
6. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging PredictsRecurrence-free Survival in Locally Advanced Breast Cancer Treated withNeoadjuvant Chemotherapy [O] . Jia Wu, Guohong Cao, Xiaoli Sun, -1

机译：MR灌注成像的瘤内空间异质性预测局部晚期乳腺癌的无复发生存率新辅助化疗
7. Comprehensive analysis of lung cancer pathology images to discover tumor shape features that predict survival outcome [O] . Shidan Wang, Alyssa Chen, Lin Yang, 2018

机译：综合分析肺癌病理学图像，发现预测生存结果的肿瘤形状特征

Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer

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