Clinical relevance of host immunity in breast cancer: from TILs to the clinic
By P. Savas, R. Salgado, Carsten Denkert, C. Sotiriou, P. Darcy, M. Smyth, S. Loi. Nature Reviews Clinical Oncology, 2016
830 citations recorded by the source corpus.
Subfields: Immunology, Oncology
View Paper: https://www.semanticscholar.org/paper/089d840ff96c2ec548c4a0bf283960d5e90057d4
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In Immunology
In Oncology
Citations in the corpus
- Emerging role of deep learning‐based artificial intelligence in tumor pathology (2020, background): “It has been reported that the kind and amount of tumor-infiltrating immune cells are related with the sensitivity to immunotherapy and prognostic stratification for tumor patients [60, 61].”
- Breast Cancer Immunotherapy: Facts and Hopes (2017, background): “In recent years, accumulating data support a key role for the immune system in determining both response to standard therapy and long-term survival in patients with breast cancer (2).”
- AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020, positive): “High levels of lymphocyte infiltration have been related to longer disease-free survival or improved overall survival (OS) in multiple cancer types [178] including early stagetriple-negativeandHER2-positivebreastcancer[179].”