当前位置: X-MOL 学术npj Breast Cancer › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation
npj Breast Cancer ( IF 6.5 ) Pub Date : 2021-08-06 , DOI: 10.1038/s41523-021-00310-z
Haojia Li 1 , Kaustav Bera 1 , Paula Toro 1 , PingFu Fu 2 , Zelin Zhang 3 , Cheng Lu 1 , Michael Feldman 4 , Shridar Ganesan 5 , Lori J Goldstein 6 , Nancy E Davidson 7 , Akisha Glasgow 8 , Aparna Harbhajanka 8 , Hannah Gilmore 8 , Anant Madabhushi 1, 9
Affiliation  

Collagen fiber organization has been found to be implicated in breast cancer prognosis. In this study, we evaluated whether computerized features of Collagen Fiber Orientation Disorder in Tumor-associated Stroma (CFOD-TS) on Hematoxylin & Eosin (H&E) slide images were prognostic of Disease Free Survival (DFS) in early stage Estrogen Receptor Positive (ER+) Invasive Breast Cancers (IBC). A Cox regression model named MCFOD-TS, was constructed using cohort St (N = 78) to predict DFS based on CFOD-TS features. The prognostic performance of MCFOD-TS was validated on cohort Sv (N = 219), a prospective clinical trial dataset (ECOG 2197). MCFOD-TS was prognostic of DFS in both St and Sv, independent of clinicopathological variables. Additionally, the molecular pathways regarding cell cycle regulation were identified as being significantly associated with MCFOD-TS derived risk scores. Our results also found that collagen fiber organization was more ordered in patients with short DFS. Our study provided a H&E image-based pipeline to derive a potential prognostic biomarker for early stage ER+ IBC without the need of special collagen staining or advanced microscopy techniques.



中文翻译:

H&E 图像中的胶原纤维定向障碍可预测早期乳腺癌:临床试验验证

已发现胶原纤维组织与乳腺癌预后有关。在这项研究中,我们评估了苏木精和曙红 (H&E) 幻灯片图像上肿瘤相关基质中胶原纤维定向障碍 (CFOD-TS) 的计算机化特征是否可预测早期雌激素受体阳性 (ER+) 的无病生存 (DFS) ) 浸润性乳腺癌 (IBC)。一个名为 M CFOD-TS 的Cox 回归模型是使用队列 S t ( N  = 78)构建的,以基于 CFOD-TS 特征预测 DFS。M CFOD-TS的预后性能在队列 S v ( N  = 219)、前瞻性临床试验数据集 (ECOG 2197) 上得到验证。M CFOD-TS是 S t和 S v中 DFS 的预后,独立于临床病理变量。此外,关于细胞周期调节的分子途径被确定为与 M CFOD-TS衍生的风险评分显着相关。我们的结果还发现,短 DFS 患者的胶原纤维组织更有序。我们的研究提供了一个基于 H&E 图像的管道,无需特殊的胶原染色或先进的显微镜技术,即可为早期 ER+IBC 推导出潜在的预后生物标志物。

更新日期:2021-08-07
down
wechat
bug