Artificial Intelligence-Derived Immune Phenotypes for Prediction of Prognosis in Patients with Stage III Colon Cancer (NCCTG N0147) [Alliance]
- Citation:
- J Clin Oncol vol 41 (suppl 16) 3542
- Meeting Instance:
- ASCO 2023
- Year:
- 2023
- Type:
- Abstract
- Sub type:
- Poster General
- Funding:
- NCTN
- Endpoint:
- Secondary-not-in-original
- Analysis:
- Primary
- Data Sharing:
- No-Data-Sharing
- Status:
- Presented/Published
- Citation Status:
- epreprint
- Note:
- Methodological:
- No
- Biospecimen:
- Yes
- SDC:
- No
- Parents:
- None
- Children:
- None
- Pharmas:
- Grants:
- U10CA180821, U10CA180882, U24CA196171, R01 CA210509
- Corr. Author:
- Authors:
- Bahar Saberzadeh-Ardestani Garth Nelson Diana I. Segovia Yoojoo Lim Sara McMahon Dongyao Yan Kandavel Shanmugam Steven R. Alberts Seunghwan Shin Qian Shi Chan-Young Ock Frank A. Sinicrope
- Networks:
- LAPS-MN026
- Study
- NCCTG-N0147
- Multiple Studies, or Legacy Studies in Alliance Study:
- Phases:
- 3
- Keywords:
- Artificial Intelligence; Tumor Microenvironment; Colonic Neoplasms; Disease-free survival.