/JM_TMBcat

Multi-endpoint assessment on immunotherapy benefits suggests multi-stratification thresholds for tumor mutation burden

Primary LanguagePython

TMB categorization (TMBcat)

Introduction

It is a generalized framework for accurately determining the positivity thresholds of TMB and dividing patients into multiple subgroups based on a fusion analysis of immunotherapy efficacy. The model considered the discrete tumor response endpoint in addition to the continuous time-to-event (TTE) endpoint simultaneously to optimize the division from a comprehensive perspective.

Usage:

Input:

  • Excel files with separate sheets record patients' observations (containing ORR and TTE endpoints, as well as other clinical indicators) and the corresponding TMB values.

Output:

  1. JM parameters with standard errors and confidence intervals.
  2. The optimal TMB thresholds for the dichotomy.
  3. The optimal TMB thresholds for the trichotomy.

NOTE: The calculation criteria for the composite prognosis indexes can be adjusted according to the clinical characteristics of the cancer species to be analyzed.