Pancerous cancer brain metastasis molecular typing system, method and medium

By using a pan-cancer brain metastasis molecular subtyping system and employing consensus clustering based on transcriptome sequencing data and artificial intelligence models, the problem of cross-platform subtyping instability in existing technologies has been solved. This system achieves consistent four-subtyping molecular subtype identification across platforms and provides prognostic assessment and treatment strategies with strong biological interpretability.

CN121964140APending Publication Date: 2026-05-01WEST CHINA HOSPITAL SICHUAN UNIV
0 Cites 0 Cited by

Patent Information

Application Number
CN202610075780.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-20
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing brain metastasis typing schemes are difficult to reproduce stably in multi-center, multi-platform environments, lack cross-platform molecular typing systems, cannot effectively reflect molecular heterogeneity in the brain microenvironment, and have limited typing granularity, making it difficult to form a unified four-type system.

Method used

The pan-cancer brain metastasis molecular subtyping system is adopted. Transcriptome sequencing data is obtained through the input module, unsupervised subtyping is performed using an artificial intelligence model, consensus clustering is performed by selecting highly variable genes, and stable molecular subtype classification results of brain metastases are output by combining the silhouette coefficient and machine learning subtyping module.

Benefits of technology

It achieves stable molecular subtyping of brain metastases across platforms, identifies four biologically meaningful subtypes, can be validated at the proteomic/pathway level, provides a basis for prognostic assessment and treatment strategy selection, and has good robustness and biological interpretability.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of biological information, in particular to a generic cancer brain metastasis molecular typing system and method and a medium. According to the generic cancer brain metastasis molecular typing system, brain metastasis molecular typing obtained through a data processing and consensus clustering method is kept stable in multiple queues and multiple platforms, and reproducibility and robustness are achieved. The typing system disclosed by the invention can identify four subtypes with consistent biological connotation in general cancer brain metastasis, can realize unified brain metastasis typing across primary parts, and avoids the limitation of typing only depending on primary lesion. The four subtypes correspond to different states such as neuron-like, immune infiltration, metabolic reprogramming and proliferation procedures and can be consistently verified on the proteome / pathway level, and biological interpretation is high. The four types can correspond to prognosis differences, immune / metabolic landscapes and other characteristics, and a basis is provided for risk stratification and potential treatment strategy selection.
Need to check novelty before this filing date? Find Prior Art