Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer
Author:
Funder
Instituto de Salud Carlos III
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,General Medicine,Pathology and Forensic Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00428-023-03608-4.pdf
Reference33 articles.
1. Hammerl D, Smid M, Timmermans AM, Sleijfer S, Martens JWM, Debets R (2018) Breast cancer genomics and immuno-oncological markers to guide immune therapies. Semin Cancer Biol 52:178–188. https://doi.org/10.1016/J.SEMCANCER.2017.11.003
2. Denkert C et al (2018) Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy. Lancet Oncol 19(1):40–50. https://doi.org/10.1016/S1470-2045(17)30904-X
3. Loi S et al (2013) Prognostic and predictive value of tumor-infiltrating lymphocytes in a phase III randomized adjuvant breast cancer trial in node-positive breast cancer comparing the addition of docetaxel to doxorubicin with doxorubicin-based chemotherapy: BIG 02–98. J Clin Oncol 31(7):860–867. https://doi.org/10.1200/JCO.2011.41.0902
4. Salgado R et al (2015) The evaluation of tumor-infiltrating lymphocytes (TILS) in breast cancer: recommendations by an International TILS Working Group 2014. Ann Oncol 26(2):259–271. https://doi.org/10.1093/annonc/mdu450. (Oxford University Press)
5. Mohaiminul Islam M, Huang S, Ajwad R, Chi C, Wang Y, Hu P (2020) An integrative deep learning framework for classifying molecular subtypes of breast cancer. Comput Struct Biotechnol J 18:2185–2199. https://doi.org/10.1016/j.csbj.2020.08.005
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