Breast Cancer Tumor Ecosystem Subtypes Based on Somatic Mutations for 2,526 Patients

Memorial Sloan Kettering Cancer Center data from 2,526 breast cancer patients was used to classify tumor ecosystem subtypes based on somatic mutation profiles via a network propagation algorithm. The study, authored by Ke Ding and last updated in May 2026, found distinct prognostic and therapeutic response patterns between subtypes. The subtyping method was also validated across 20 other cancer cohorts.

Use Cases

• Predicting patient prognosis based on tumor ecosystem subtype classification
• Investigating tumor immune microenvironment composition differences between subtypes
• Evaluating potential immunotherapy versus chemotherapy response based on subtype
• Validating somatic mutation-based subtyping methods across other cancer types

Strengths

• Includes data from 2,526 breast cancer patients from a major cancer center
• Subtyping method was validated for generalization across 20 cancer cohorts
• The study links subtypes to concrete clinical outcomes like prognosis and treatment sensitivity

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the underlying mutation data is unknown, which may limit suitability assessment
• Data may reflect bias inherent to the single-source, hospital-based cohort

Provenance

Source

Memorial Sloan Kettering Cancer Center

Collection Method

Somatic mutation profiles analyzed using a network propagation algorithm for subtyping.

Freshness

Last updated 2026-05-14 22:01:25