Work

Abstract 690: Hierarchical mixed effects cubic spline modeling of methylation-based tumor fraction dynamics for pan-cancer assessment of treatment response and outcomes in immunotherapy patients.

Year: 2026

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2026-690

Authors: Christopher Pretz, Amar Das, Carin Espenschied, Sara Wienke, Samantha I. Liang, Christopher Cabanski

Institutions: Guardant (United States), Parker Institute for Cancer Immunotherapy

Language: English

Topic: Cancer Immunotherapy and Biomarkers

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7148802963

Cites:

Cited by:

Related to: