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: Artificial intelligence-assisted evaluation of tumor infiltrating CD3+ and CD8+ T cells for prognostication and prediction of benefit from adjuvant chemotherapy in early stage colorectal cancer (CRC): A retrospective analysis of the QUASAR trial.

Researchers

Presenter

  • Christopher Williams

Principal Investigators

  • Mike Shires

  • Liping Zhang

  • Zuo Zhao

  • Isaac Bai

  • Dongyao Yan

  • Sarah Dance

  • Faranak Aghaei

  • Gemma Hemmings

  • Michael Hale

  • Uday Kurkure

  • Christoph Guetter

  • Susan D Richman

  • Gordon Hutchins

  • Jenny F. Seligmann

  • Nicholas West

  • Shalini Singh

  • Kandavel Shanmugam

  • Philip Quirke

Medical Centers

  • Roche Diagnostics, Clinical Development and Medical Affairs, Oro Valley, AZ

  • Roche Diagnostics, Clinical Development and Medical Affairs, Oro Valley, AZ

  • Roche Diagnostics, Santa Clara, CA

  • Leeds Cancer Centre, Leeds, United Kingdom

  • Roche Diagnostics, Tucson, AZ

  • Roche Diagnostics Limited, Burgess Hill, United Kingdom

  • Roche Diagnostics, Oro Valley, AZ

  • Division of Pathology and Data Analytics, University of Leeds, Leeds, United Kingdom

  • University of Leeds, Leeds, United Kingdom

  • University of Oxford, Oxford, United Kingdom

  • Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom

Locations

  • United Kingdom

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Colorectal Cancer

Biomarkers

  • N/A

Drug/Treatment

  • Fluorouracil

  • Adrucil injection

  • L-leucovorin

Outcome

  • N/A

Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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