The single-cell pathology landscape of breast cancer

By H. Jackson, Jana R Fischer, V. R. T. Zanotelli, H. Ali, R. Mechera, S. Soysal, H. Moch, S. Muenst, Z. Varga, Walter P. Weber and 1 more. Nature, 2020

771 citations recorded by the source corpus.

Subfields: Biophysics, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/fd523f4b15b0f40af0326c183bf5daa535083c1d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Fabian J Theis
2. Faisal Mahmood
3. Ming Y. Lu
4. Drew F. K. Williamson
5. Aviv Regev
6. Garry P. Nolan
7. Richard J. Chen

In Molecular Biology

1. Fabian J Theis
2. Aviv Regev
3. Giovanni Palla
4. David S. Fischer
5. Garry P. Nolan
6. Faisal Mahmood
7. David Mcilwain
8. Rahul Satija

In Oncology

1. Ming Y. Lu
2. Garry P. Nolan
3. Richard J. Chen
4. Drew F. K. Williamson
5. Faisal Mahmood

Citations in the corpus

• Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images (2021, background): “…the tumor microenvironment that are indiscernable by conventional MIL approaches, e.g. - the co-localization of tumor cells with lymphocyte infiltrates that is associated with favorable prognosis, which would require modeling mid-to-long range interactions between instances in the WSI [48, 25, 1].”
• Spatial components of molecular tissue biology (2022, positive): “An extensive multicenter study of breast cancer tissue showed how cellular communities identified by IMC explain inter-and intrasample variation, as well as define cancer subtypes with strong associations to patient survival 92 .”
• Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front (2019, background): “Focusing on the iTME, other investigators applying multiplexed imaging have explored cellular functional states, spatial and functional interactions between multiple cell types, as well as how these interactions are modulated by tissue context (Ali et al., 2020; Arnol et al., 2019; Jackson et al., 2”