Browsing ICR Divisions by author "Yuan, Yinyin"
Now showing items 21-32 of 32
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Relevance of Spatial Heterogeneity of Immune Infiltration for Predicting Risk of Recurrence After Endocrine Therapy of ER+ Breast Cancer.
Heindl, A; Sestak, I; Naidoo, K; Cuzick, J; Dowsett, M; et al. (2018-02)Background Despite increasing evidence supporting the clinical utility of immune infiltration in the estrogen receptor-negative (ER-) subtype, the prognostic value of immune infiltration for ER+ disease is not well ... -
Relevance of Spatial Heterogeneity of Immune Infiltration for Predicting Risk of Recurrence After Endocrine Therapy of ER+ Breast Cancer.
Heindl, A; Sestak, I; Naidoo, K; Cuzick, J; Dowsett, M; et al. (OXFORD UNIV PRESS INC, 2018-02-01)BACKGROUND: Despite increasing evidence supporting the clinical utility of immune infiltration in the estrogen receptor-negative (ER-) subtype, the prognostic value of immune infiltration for ER+ disease is not well defined. ... -
Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.
Amgad, M; Stovgaard, ES; Balslev, E; Thagaard, J; Chen, W; et al. (NATURE RESEARCH, 2020-05-12)Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. ... -
Similarity and diversity of the tumor microenvironment in multiple metastases: critical implications for overall and progression-free survival of high-grade serous ovarian cancer.
Heindl, A; Lan, C; Rodrigues, DN; Koelble, K; Yuan, Y (IMPACT JOURNALS LLC, 2016-11-01)The tumor microenvironment is pivotal in influencing cancer progression and metastasis. Different cells co-exist with high spatial diversity within a patient, yet their combinatorial effects are poorly understood. We ... -
Spatial interplay of lymphocytes and fibroblasts in estrogen receptor-positive HER2-negative breast cancer.
Nederlof, I; Hajizadeh, S; Sobhani, F; Raza, SEA; AbdulJabbar, K; et al. (NATURE PORTFOLIO, 2022-04-28)In estrogen-receptor-positive, HER2-negative (ER+HER2-) breast cancer, higher levels of tumor infiltrating lymphocytes (TILs) are often associated with a poor prognosis and this phenomenon is still poorly understood. ... -
Stromal cell ratio based on automated image analysis as a predictor for platinum-resistant recurrent ovarian cancer.
Lan, C; Li, J; Huang, X; Heindl, A; Wang, Y; et al. (BMC, 2019-02-18)BACKGROUND: Identifying high-risk patients for platinum resistance is critical for improving clinical management of ovarian cancer. We aimed to use automated image analysis of hematoxylin & eosin (H&E) stained sections to ... -
SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images.
Zormpas-Petridis, K; Noguera, R; Ivankovic, DK; Roxanis, I; Jamin, Y; et al. (FRONTIERS MEDIA SA, 2021-01-20)High computational cost associated with digital pathology image analysis approaches is a challenge towards their translation in routine pathology clinic. Here, we propose a computationally efficient framework (SuperHistopath), ... -
Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology.
Zormpas-Petridis, K; Failmezger, H; Raza, SEA; Roxanis, I; Jamin, Y; et al. (FRONTIERS MEDIA SA, 2019-10-11)Computational pathology-based cell classification algorithms are revolutionizing the study of the tumor microenvironment and can provide novel predictive/prognosis biomarkers crucial for the delivery of precision oncology. ... -
Systematic evaluation of quantotypic peptides for targeted analysis of the human kinome.
Worboys, JD; Sinclair, J; Yuan, Y; Jørgensen, C (NATURE PUBLISHING GROUP, 2014-10-01)In targeted proteomics it is critical that peptides are not only proteotypic but also accurately represent the level of the protein (quantotypic). Numerous approaches are used to identify proteotypic peptides, but quantotypic ... -
The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer.
Barry, P; Vatsiou, A; Spiteri, I; Nichol, D; Cresswell, GD; et al. (SPRINGER, 2018-02-01)Purpose: The most significant prognostic factor in early breast cancer is lymph node involvement. This stage between localized and systemic disease is key to understanding breast cancer progression; however, our knowledge ... -
Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology.
Failmezger, H; Muralidhar, S; Rullan, A; de Andrea, CE; Sahai, E; et al. (AMER ASSOC CANCER RESEARCH, 2020-03-01)Despite the advent of immunotherapy, metastatic melanoma represents an aggressive tumor type with a poor survival outcome. The successful application of immunotherapy requires in-depth understanding of the biological basis ... -
Unmasking the immune microecology of ductal carcinoma in situ with deep learning.
Narayanan, PL; Raza, SEA; Hall, AH; Marks, JR; King, L; et al. (NATURE PORTFOLIO, 2021-03-01)Despite increasing evidence supporting the clinical relevance of tumour infiltrating lymphocytes (TILs) in invasive breast cancer, TIL spatial variability within ductal carcinoma in situ (DCIS) samples and its association ...