dc.contributor.author | Amgad, M | |
dc.contributor.author | Stovgaard, ES | |
dc.contributor.author | Balslev, E | |
dc.contributor.author | Thagaard, J | |
dc.contributor.author | Chen, W | |
dc.contributor.author | Dudgeon, S | |
dc.contributor.author | Sharma, A | |
dc.contributor.author | Kerner, JK | |
dc.contributor.author | Denkert, C | |
dc.contributor.author | Yuan, Y | |
dc.contributor.author | AbdulJabbar, K | |
dc.contributor.author | Wienert, S | |
dc.contributor.author | Savas, P | |
dc.contributor.author | Voorwerk, L | |
dc.contributor.author | Beck, AH | |
dc.contributor.author | Madabhushi, A | |
dc.contributor.author | Hartman, J | |
dc.contributor.author | Sebastian, MM | |
dc.contributor.author | Horlings, HM | |
dc.contributor.author | Hudeček, J | |
dc.contributor.author | Ciompi, F | |
dc.contributor.author | Moore, DA | |
dc.contributor.author | Singh, R | |
dc.contributor.author | Roblin, E | |
dc.contributor.author | Balancin, ML | |
dc.contributor.author | Mathieu, M-C | |
dc.contributor.author | Lennerz, JK | |
dc.contributor.author | Kirtani, P | |
dc.contributor.author | Chen, I-C | |
dc.contributor.author | Braybrooke, JP | |
dc.contributor.author | Pruneri, G | |
dc.contributor.author | Demaria, S | |
dc.contributor.author | Adams, S | |
dc.contributor.author | Schnitt, SJ | |
dc.contributor.author | Lakhani, SR | |
dc.contributor.author | Rojo, F | |
dc.contributor.author | Comerma, L | |
dc.contributor.author | Badve, SS | |
dc.contributor.author | Khojasteh, M | |
dc.contributor.author | Symmans, WF | |
dc.contributor.author | Sotiriou, C | |
dc.contributor.author | Gonzalez-Ericsson, P | |
dc.contributor.author | Pogue-Geile, KL | |
dc.contributor.author | Kim, RS | |
dc.contributor.author | Rimm, DL | |
dc.contributor.author | Viale, G | |
dc.contributor.author | Hewitt, SM | |
dc.contributor.author | Bartlett, JMS | |
dc.contributor.author | Penault-Llorca, F | |
dc.contributor.author | Goel, S | |
dc.contributor.author | Lien, H-C | |
dc.contributor.author | Loibl, S | |
dc.contributor.author | Kos, Z | |
dc.contributor.author | Loi, S | |
dc.contributor.author | Hanna, MG | |
dc.contributor.author | Michiels, S | |
dc.contributor.author | Kok, M | |
dc.contributor.author | Nielsen, TO | |
dc.contributor.author | Lazar, AJ | |
dc.contributor.author | Bago-Horvath, Z | |
dc.contributor.author | Kooreman, LFS | |
dc.contributor.author | van der Laak, JAWM | |
dc.contributor.author | Saltz, J | |
dc.contributor.author | Gallas, BD | |
dc.contributor.author | Kurkure, U | |
dc.contributor.author | Barnes, M | |
dc.contributor.author | Salgado, R | |
dc.contributor.author | Cooper, LAD | |
dc.contributor.author | International Immuno-Oncology Biomarker Working Group, | |
dc.date.accessioned | 2020-06-02T10:02:54Z | |
dc.date.issued | 2020-05-12 | |
dc.identifier.citation | NPJ breast cancer, 2020, 6 pp. 16 - ? | |
dc.identifier.issn | 2374-4677 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3671 | |
dc.identifier.eissn | 2374-4677 | |
dc.identifier.doi | 10.1038/s41523-020-0154-2 | |
dc.description.abstract | Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring. | |
dc.format | Electronic-eCollection | |
dc.format.extent | 16 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE RESEARCH | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | International Immuno-Oncology Biomarker Working Group | |
dc.title | Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2020-02-18 | |
rioxxterms.versionofrecord | 10.1038/s41523-020-0154-2 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2020-01 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | NPJ breast cancer | |
pubs.notes | Not known | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology/Computational Pathology & Integrated Genomics | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Molecular Pathology/Computational Pathology & Integrated Genomics | |
pubs.publication-status | Published | |
pubs.volume | 6 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Computational Pathology & Integrated Genomics | |
dc.contributor.icrauthor | Yuan, Yinyin | |