An interdisciplinary multi-centre research team led by the LKS Faculty of Medicine (HKUMed) and Faculty of Dentistry at the University of Hong Kong has constructed the world’s largest multi-omics atlas of brain metastases. This comprehensive analysis included 1,032 brain metastasis samples from diverse primary tumours, together with 82 matched primary tumours and 20 glioblastomas (a highly malignant type of brain tumour) as controls. The findings provide a novel framework for classifying brain metastases and establish a foundation for the development of personalised treatment strategies, advancing the field of precision oncology. This breakthrough was published in the international journal Nature Communications.
Cancer cells interact with brain environment: a paradigm shift in treatment approaches
Brain metastases occur when cancer cells spread from primary sites, such as the lung, breast or skin, to the brain. Despite advances in surgery, radiotherapy and systemic therapies, brain metastases exhibit significant heterogeneity, making it challenging to identify treatments that are effective for all patients. Consequently, brain metastases remain a leading cause of cancer-related deaths, affecting up to 30% of patients with advanced‑stage solid tumours.
Previous research focused primarily on the characteristics of the primary tumour, but this approach overlooks the unique biological properties that cancer cells develop after interacting with the brain microenvironment.
‘Our hypothesis is that once cancer cells spread to the brain, they evolve into several molecular subtypes, regardless of their site of origin,’ stated Professor Zhang Gao, Associate Professor in the HKU Faculty of Dentistry and co-leader of the study. ‘Importantly, these subtypes are not shaped by the primary tissue but by the unique microenvironment of the brain. This represents a major paradigm shift in how brain metastases should be treated—moving away from treating brain metastases solely based on the primary tumour type to developing treatment plans based on the distinct molecular characteristics that tumours acquire in the brain.’
Four major subtypes reveal new treatment directions
The team integrated genomic, transcriptomic (RNA-level), proteomic, targeted metabolomic, single-nucleus RNA sequencing, and spatial data from 1,032 brain metastasis samples, and identified four distinct brain metastasis subtypes: Neural-like (BrMS1), Immune-infiltrated (BrMS2), Metabolic (BrMS3) and Proliferative (BrMS4). Each subtype exhibits unique immune landscapes, metabolic programmes, biological features and potential therapeutic targets:
- The ‘Neural-like subtype’ expresses neural-related genes, displaying neural-like characteristics associated with the brain microenvironment and is sensitive to radiotherapy.
- The ‘Immune-infiltrated subtype’ features abundant immune cell infiltration, exhibits the longest overall survival, and may respond better to immunotherapy.
- The ‘Metabolic subtype’ exhibits abnormally active energy metabolism pathways, indicating that metabolism-targeted therapies may effectively control this tumour type.
- The ‘Proliferative subtype’ is characterised by high cell proliferation and poorer prognosis. Its activated proliferation-related pathways suggest potential for targeted therapeutic interventions.
Decoding the brain’s immunosuppressive environment to enhance precision in therapies
Building on the unique biological characteristics of these four molecular subtypes, the research team explored the possibility of developing personalised treatment strategies tailored to each subtype.
The study found that the ‘Neural-like’ and ‘Immune-infiltrated’ subtypes had significantly higher levels of cytotoxic T lymphocytes (CTLs), cells responsible for attacking tumours, and more active immune checkpoint molecules, such as PD-L1 and CTLA4. These features suggest that both subtypes may respond better to immune checkpoint blockade therapy. The ‘Immune-infiltrated subtype’ has the most abundant immune cells, which can proliferate extensively and restore their tumour-fighting capacity when stimulated by immunotherapy drugs. Therefore, patients with the ‘Immune-infiltrated subtype’ may have the strongest sensitivity to immunotherapy among the four subtypes. Additionally, the study found that CTL infiltration level is an independent prognostic indicator. The more abundant CTLs in the tumour, the longer the patient’s overall survival rate.
To validate the differences in sensitivity to targeted therapies across subtypes, the research team employed patient-derived organoid models for targeted drug screening. Functional experiments showed that the ‘Metabolic subtype’ responded more favourably to mTOR inhibitors, while the ‘Proliferative subtype’ showed greater sensitivity to CDK4/6 inhibitors.
Professor Gilberto Leung Ka-kit, Tsang Wing-Hing Professor in Clinical Neuroscience and Clinical Professor in the Department of Surgery, School of Clinical Medicine, HKUMed, stated, ‘The brain’s immunosuppressive environment and the blood-brain barrier make treating metastases particularly challenging. Our research demonstrates how different tumour subtypes interact with brain neurons and immune cells, paving the way for developing innovative combinations of targeted drugs, immunotherapy and radiotherapy to find effective treatments for these tumours.’
Professor Liu Lunxu from West China Hospital of Sichuan University and co-leader of the study, added, ‘This groundbreaking research exemplifies the power of multi-institutional collaboration. By bringing together expertise from across the Chinese Mainland and Hong Kong, we were able to assemble an unprecedented dataset. This successful partnership demonstrates how collaborative science can accelerate progress in precision oncology and benefit patients with brain metastases.’
Source – The University of Hong Kong
An interdisciplinary multi-centre research team led by the LKS Faculty of Medicine (HKUMed) and Faculty of Dentistry at the University of Hong Kong has constructed the world’s largest multi-omics atlas of brain metastases. This comprehensive analysis included 1,032 brain metastasis samples from diverse primary tumours, together with 82 matched primary tumours and 20 glioblastomas (a highly malignant type of brain tumour) as controls. The findings provide a novel framework for classifying brain metastases and establish a foundation for the development of personalised treatment strategies, advancing the field of precision oncology. This breakthrough was published in the international journal Nature Communications.
Cancer cells interact with brain environment: a paradigm shift in treatment approaches
Brain metastases occur when cancer cells spread from primary sites, such as the lung, breast or skin, to the brain. Despite advances in surgery, radiotherapy and systemic therapies, brain metastases exhibit significant heterogeneity, making it challenging to identify treatments that are effective for all patients. Consequently, brain metastases remain a leading cause of cancer-related deaths, affecting up to 30% of patients with advanced‑stage solid tumours.
Previous research focused primarily on the characteristics of the primary tumour, but this approach overlooks the unique biological properties that cancer cells develop after interacting with the brain microenvironment.
Four major subtypes reveal new treatment directions
The team integrated genomic, transcriptomic (RNA-level), proteomic, targeted metabolomic, single-nucleus RNA sequencing, and spatial data from 1,032 brain metastasis samples, and identified four distinct brain metastasis subtypes: Neural-like (BrMS1), Immune-infiltrated (BrMS2), Metabolic (BrMS3) and Proliferative (BrMS4). Each subtype exhibits unique immune landscapes, metabolic programmes, biological features and potential therapeutic targets:
Decoding the brain’s immunosuppressive environment to enhance precision in therapies
Building on the unique biological characteristics of these four molecular subtypes, the research team explored the possibility of developing personalised treatment strategies tailored to each subtype.
The study found that the ‘Neural-like’ and ‘Immune-infiltrated’ subtypes had significantly higher levels of cytotoxic T lymphocytes (CTLs), cells responsible for attacking tumours, and more active immune checkpoint molecules, such as PD-L1 and CTLA4. These features suggest that both subtypes may respond better to immune checkpoint blockade therapy. The ‘Immune-infiltrated subtype’ has the most abundant immune cells, which can proliferate extensively and restore their tumour-fighting capacity when stimulated by immunotherapy drugs. Therefore, patients with the ‘Immune-infiltrated subtype’ may have the strongest sensitivity to immunotherapy among the four subtypes. Additionally, the study found that CTL infiltration level is an independent prognostic indicator. The more abundant CTLs in the tumour, the longer the patient’s overall survival rate.
To validate the differences in sensitivity to targeted therapies across subtypes, the research team employed patient-derived organoid models for targeted drug screening. Functional experiments showed that the ‘Metabolic subtype’ responded more favourably to mTOR inhibitors, while the ‘Proliferative subtype’ showed greater sensitivity to CDK4/6 inhibitors.
Source – The University of Hong Kong
Yang Z, Wei S, Duan H, Wang X, Zhang D, Kiang KM, Deng Y, Yang Y, Ku Y, Hu W, Zou C, Tang M, Jiang Y, Liu Y, Lan H, Chen Z, Leung GK, Jia W, Mou Y, Liu L, Zhang G. (2026) A proteogenomic atlas of 1032 brain metastases identifies molecular subtypes, immune landscapes, and therapeutic vulnerabilities. Nature Communications 17(1): e68748.[Epub ahead of print]. [article]
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An interdisciplinary multi-centre research team led by the LKS Faculty of Medicine (HKUMed) and Faculty of Dentistry at the University of Hong Kong has constructed the world’s largest multi-omics atlas of brain metastases. This comprehensive analysis included 1,032 brain metastasis samples from diverse primary tumours, together with 82 matched primary tumours and 20 glioblastomas (a highly malignant type of brain tumour) as controls. The findings provide a novel framework for classifying brain metastases and establish a foundation for the development of personalised treatment strategies, advancing the field of precision oncology. This breakthrough was published in the international journal Nature Communications.
Cancer cells interact with brain environment: a paradigm shift in treatment approaches
Brain metastases occur when cancer cells spread from primary sites, such as the lung, breast or skin, to the brain. Despite advances in surgery, radiotherapy and systemic therapies, brain metastases exhibit significant heterogeneity, making it challenging to identify treatments that are effective for all patients. Consequently, brain metastases remain a leading cause of cancer-related deaths, affecting up to 30% of patients with advanced‑stage solid tumours.
Previous research focused primarily on the characteristics of the primary tumour, but this approach overlooks the unique biological properties that cancer cells develop after interacting with the brain microenvironment.
Four major subtypes reveal new treatment directions
The team integrated genomic, transcriptomic (RNA-level), proteomic, targeted metabolomic, single-nucleus RNA sequencing, and spatial data from 1,032 brain metastasis samples, and identified four distinct brain metastasis subtypes: Neural-like (BrMS1), Immune-infiltrated (BrMS2), Metabolic (BrMS3) and Proliferative (BrMS4). Each subtype exhibits unique immune landscapes, metabolic programmes, biological features and potential therapeutic targets:
Decoding the brain’s immunosuppressive environment to enhance precision in therapies
Building on the unique biological characteristics of these four molecular subtypes, the research team explored the possibility of developing personalised treatment strategies tailored to each subtype.
The study found that the ‘Neural-like’ and ‘Immune-infiltrated’ subtypes had significantly higher levels of cytotoxic T lymphocytes (CTLs), cells responsible for attacking tumours, and more active immune checkpoint molecules, such as PD-L1 and CTLA4. These features suggest that both subtypes may respond better to immune checkpoint blockade therapy. The ‘Immune-infiltrated subtype’ has the most abundant immune cells, which can proliferate extensively and restore their tumour-fighting capacity when stimulated by immunotherapy drugs. Therefore, patients with the ‘Immune-infiltrated subtype’ may have the strongest sensitivity to immunotherapy among the four subtypes. Additionally, the study found that CTL infiltration level is an independent prognostic indicator. The more abundant CTLs in the tumour, the longer the patient’s overall survival rate.
To validate the differences in sensitivity to targeted therapies across subtypes, the research team employed patient-derived organoid models for targeted drug screening. Functional experiments showed that the ‘Metabolic subtype’ responded more favourably to mTOR inhibitors, while the ‘Proliferative subtype’ showed greater sensitivity to CDK4/6 inhibitors.
Source – The University of Hong Kong
Yang Z, Wei S, Duan H, Wang X, Zhang D, Kiang KM, Deng Y, Yang Y, Ku Y, Hu W, Zou C, Tang M, Jiang Y, Liu Y, Lan H, Chen Z, Leung GK, Jia W, Mou Y, Liu L, Zhang G. (2026) A proteogenomic atlas of 1032 brain metastases identifies molecular subtypes, immune landscapes, and therapeutic vulnerabilities. Nature Communications 17(1): e68748.[Epub ahead of print]. [article]
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RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
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