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To evaluate the effectiveness and accuracy of a novel evidence-based algorithm for ranking therapeutic recommendations in cancer patients.

Ranking Therapeutic Recommendations Using Evidence-Based Algorithm for Cancer Patient Outcomes

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To evaluate the effectiveness and accuracy of a novel evidence-based algorithm for ranking therapeutic recommendations in cancer patients.
Reviewed history of illness and genomic profiling of 571 cancer patients from June 2021 to December 2024.
Ranked therapeutic strategies using a score system from -1 to 12.
Assessed progression-free survival (PFS) and overall survival (OS) between patients receiving recommended treatments and those who did not.
No significant differences in PFS/OS between Cohort 1 (received recommendations) and Cohort 2 (did not).
Patients receiving earlier treatment lines showed longer PFS (8.8 vs 4 months) and OS (24.5 vs 13.7 months).
Patients with a ranking score (R) ≥10 had longer PFS (8.6 months) and OS (23.9 months) compared to those with R <10 (4.9 and 13.1 months).
OS was longer for patients receiving Standard of Care with R ≥9 (22.2 months) compared to R <9 (13.1 months).
Off-Label treatments with R ≥7 exhibited significantly longer PFS/OS.

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Continuous study demonstrates effectiveness of new algorithm ranking therapeutic strategies to optimize cancer care.

Sun et al. (2026) studied this question.

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