Liu F, Ding Y, Xu Z, Hao X, Pan T, Miles G, Wang S, Wu YH, Liu J, Bado IL, Zhang W, Wu L, Gao Y, Yu L, Edwards DG, Chan HL, Aguirre S, Dieffenbach MW, Chen E, Shen Y, Hoffman D, Becerra Dominguez L, Rivas CH, Chen X, Wang H, Gugala Z, Satcher RL, Zhang XH. (2025) Single-cell profiling of bone metastasis ecosystems from multiple cancer types reveals convergent and divergent mechanisms of bone colonization. Cell Genom [Epub ahead of print]. [article]
Researchers use use RNA sequencing to characterize bone metastases from eight cancer types
Bone is a common site for metastasis of solid cancers, but histological and molecular features of bone metastases are not well understood. In a new study published in Cell Genomics, researchers at Baylor College of Medicine and the University of Texas MD Anderson Cancer Center use RNA sequencing to characterize bone metastases from eight cancer types. The findings identify three distinct immune ecosystem archetypes.
The Zhang lab worked with Dr. Robert L. Satcher, orthopedic surgeon and associate professor in the Department of Orthopaedic Oncology at MD Anderson, to obtain 42 bone metastases samples from eight different cancer types.
Researchers conducted RNA sequencing and found the metastases fell into three distinct ecosystem archetypes characterized by enrichment of different immune cells: 1) macrophages and osteoclasts, 2) regulatory and exhausted T cells and 3) monocytes. They validated the archetypes using previously published RNA sequencing data of 158 bone metastases across 10 cancer types.
The team found that archetype does not always coincide with tumor origin. Metastases from the same cancer type often fell into different archetypes, and metastases from different cancer types sometimes fell into the same archetype. These findings indicate both convergent and divergent evolution pathways – cancers originating from different organs can evolve similar immunosuppression and bone colonization mechanisms, and cancers from the same primary organ can develop parallel mechanisms.
The results of this study suggest a need to investigate different treatment strategies for different archetypes. For example, metastases in the exhausted T cell archetype may respond better to interventions that activate those T cells, rather than traditional anti-osteoclast treatment.
Source – Baylor College of Medicine
Liu F, Ding Y, Xu Z, Hao X, Pan T, Miles G, Wang S, Wu YH, Liu J, Bado IL, Zhang W, Wu L, Gao Y, Yu L, Edwards DG, Chan HL, Aguirre S, Dieffenbach MW, Chen E, Shen Y, Hoffman D, Becerra Dominguez L, Rivas CH, Chen X, Wang H, Gugala Z, Satcher RL, Zhang XH. (2025) Single-cell profiling of bone metastasis ecosystems from multiple cancer types reveals convergent and divergent mechanisms of bone colonization. Cell Genom [Epub ahead of print]. [article]
Related Posts
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
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
Single-cell RNA sequencing provides a closer look at the Aedes aegypti midgut
Researchers use use RNA sequencing to characterize bone metastases from eight cancer types
Bone is a common site for metastasis of solid cancers, but histological and molecular features of bone metastases are not well understood. In a new study published in Cell Genomics, researchers at Baylor College of Medicine and the University of Texas MD Anderson Cancer Center use RNA sequencing to characterize bone metastases from eight cancer types. The findings identify three distinct immune ecosystem archetypes.
The Zhang lab worked with Dr. Robert L. Satcher, orthopedic surgeon and associate professor in the Department of Orthopaedic Oncology at MD Anderson, to obtain 42 bone metastases samples from eight different cancer types.
Researchers conducted RNA sequencing and found the metastases fell into three distinct ecosystem archetypes characterized by enrichment of different immune cells: 1) macrophages and osteoclasts, 2) regulatory and exhausted T cells and 3) monocytes. They validated the archetypes using previously published RNA sequencing data of 158 bone metastases across 10 cancer types.
The team found that archetype does not always coincide with tumor origin. Metastases from the same cancer type often fell into different archetypes, and metastases from different cancer types sometimes fell into the same archetype. These findings indicate both convergent and divergent evolution pathways – cancers originating from different organs can evolve similar immunosuppression and bone colonization mechanisms, and cancers from the same primary organ can develop parallel mechanisms.
The results of this study suggest a need to investigate different treatment strategies for different archetypes. For example, metastases in the exhausted T cell archetype may respond better to interventions that activate those T cells, rather than traditional anti-osteoclast treatment.
Source – Baylor College of Medicine
Liu F, Ding Y, Xu Z, Hao X, Pan T, Miles G, Wang S, Wu YH, Liu J, Bado IL, Zhang W, Wu L, Gao Y, Yu L, Edwards DG, Chan HL, Aguirre S, Dieffenbach MW, Chen E, Shen Y, Hoffman D, Becerra Dominguez L, Rivas CH, Chen X, Wang H, Gugala Z, Satcher RL, Zhang XH. (2025) Single-cell profiling of bone metastasis ecosystems from multiple cancer types reveals convergent and divergent mechanisms of bone colonization. Cell Genom [Epub ahead of print]. [article]
Related Posts
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
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
Single-cell RNA sequencing provides a closer look at the Aedes aegypti midgut
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services