Advances in the application of computational pathology in diagnosis, immunomicroenvironment recognition, and immunotherapy evaluation of breast cancer: a narrative review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-023-05002-8.pdf
Reference54 articles.
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2. Ahn HK, Sim SH, Suh KJ, Kim MH, Jeong JH, Kim JY et al (2022) Response rate and safety of a neoadjuvant pertuzumab, atezolizumab, docetaxel, and trastuzumab regimen for patients with ERBB2-positive stage II/III breast cancer: the neo-PATH phase 2 nonrandomized clinical trial. JAMA Oncol 8(9):1271–1277. https://doi.org/10.1001/jamaoncol.2022.2310
3. Ali HR, Dariush A, Thomas J, Provenzano E, Dunn J, Hiller L et al (2017) Lymphocyte density determined by computational pathology validated as a predictor of response to neoadjuvant chemotherapy in breast cancer: secondary analysis of the ARTemis trial. Ann Oncol 28(8):1832–1835. https://doi.org/10.1093/annonc/mdx266
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