High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

By C. Krieg, M. Nowicka, S. Guglietta, Sabrina Schindler, F. Hartmann, Lukas M. Weber, R. Dummer, Mark D. Robinson, M. Levesque, B. Becher. Nature Medicine, 2018

648 citations recorded by the source corpus.

Subfields: Immunology, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/0bbe12968acdf5882a37ab60d8e33b237ed775be

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In Immunology

1. Zemin Zhang
2. Yuanyuan Zhang

In Molecular Biology

1. Mark M. Davis
2. William C. Hahn
3. C. Kuo
4. Zemin Zhang
5. Junjie Zhu

In Oncology

1. William C. Hahn
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Citations in the corpus

• Organoid modeling of the tumor immune microenvironment (2018, background): “, 2017) and peripheral blood monocytes (Krieg et al., 2018).”
• Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors (2018, background): “Supposedly, CD14CD16HLA-DR monocyte promotes the infiltration of T cell from peripheral blood into tumor bed which results in enhanced T cell-mediated tumor killing activity [94].”
• SOM-based embedding improves efficiency of high-dimensional cytometry data analysis (2019, methodology): “A similar presentation of the sample statistics has already been proposed in di‚cyt [26] and successfully used for prediction of responses to im300 munotherapy [12].”
• The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications (2020, methodology): “used mass cytometry to characterize the immune cell subsets in the peripheral blood of patients with metastatic melanoma before and after anti-PD-1 immunotherapy.(203) They found that T cells in the peripheral blood were reduced while CD8 T cells in tumors were increased in responders, suggesting a ”