articleNature MedicineJan 6, 2025HYBRID OA

Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data

SYSeong‐Keun YooCFConall FitzgeraldBAByuri Angela ChoBGBailey G. FitzgeraldCYCatherine Y. Han

Icahn School of Medicine at Mount Sinai · Memorial Sloan Kettering Cancer Center · +2 more institutions

PubMed
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Abstract

Predicting whether a patient with cancer will benefit from immune checkpoint inhibitors (ICIs) without resorting to advanced genomic or immunologic assays is an important clinical need. To address this, we developed and evaluated SCORPIO, a machine learning system that utilizes routine blood tests (complete blood count and comprehensive metabolic profile) alongside clinical characteristics from 9,745 ICI-treated patients across 21 cancer types. SCORPIO was trained on data from 1,628 patients across 17 cancer types from Memorial Sloan Kettering Cancer Center. In two internal test sets comprising 2,511 patients across 19 cancer types, SCORPIO achieved median time-dependent area under the receiver operating…

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Topics & keywords

Topics
Keywords
  • Medicine
  • Cancer immunotherapy
  • Immunotherapy
  • Cancer
  • Oncology
  • Internal medicine
UN Sustainable Development Goals
  • Good health and well-being
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