RNA sequencing reveals heterogeneity of bone metastases across different and same cancer types
Single-cell RNA sequencing on 42 bone metastases from eight cancer types identified three distinct immune cell patterns in the cancer microenvironment, each characterized by an enrichment of specific immune cells: macrophages/osteoclasts (left panel), regulatory/exhausted T cells (center panel) or monocytes. Image courtesy of the authors/Cell Genomics, 2025.
Bone is a common site for metastasis of solid cancers, but cellular 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 used RNA sequencing to characterize bone metastases from eight cancer types. The findings identify three distinct immune ecosystem patterns or archetypes.
“Bone metastases vary widely from person to person, yet all bone metastases are treated similarly with treatment targeting one cell type, osteoclasts. Some patients do not respond to this treatment. In this study, we examined the heterogeneity of bone metastases across different cancer types and within each cancer type,” said co-corresponding author Dr. Xiang H.-F. Zhang, director of the Lester and Sue Smith Breast Center and professor of molecular and cellular biology at Baylor.
“The interesting finding is that there are both similarities and differences that are cancer-type specific. Dr. Zhang’s work previously focused on breast cancer bone metastasis, and I focused on renal cell carcinoma bone metastasis.
By working together, we were able to approach the problem with a unique combined perspective, which critically informed our research strategy,” said Satcher, co-corresponding author of the study.
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.
“Our analysis identified a large number of potential therapeutic targets within each archetype that can be studied for validation,” said first author Fengshuo Liu, graduate student in the Zhang lab.
“Our data is all publicly available, and many groups are already using it for other studies.”
“This study highlights the power of pan-cancer research. The border of different cancer types becomes blurred when they all come to the same place in the bone, so this is a unique opportunity to study different types in the same microenvironment,” said Zhang, William T. Butler, M.D., Endowed Chair for Distinguished Faculty and co-leader of the Breast Cancer Program at the Dan L Duncan Comprehensive Cancer Center at Baylor.
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 5(5): 100888. [article]
Single-cell RNA sequencing on 42 bone metastases from eight cancer types identified three distinct immune cell patterns in the cancer microenvironment, each characterized by an enrichment of specific immune cells: macrophages/osteoclasts (left panel), regulatory/exhausted T cells (center panel) or monocytes. Image courtesy of the authors/Cell Genomics, 2025.
Bone is a common site for metastasis of solid cancers, but cellular 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 used RNA sequencing to characterize bone metastases from eight cancer types. The findings identify three distinct immune ecosystem patterns or archetypes.
“Bone metastases vary widely from person to person, yet all bone metastases are treated similarly with treatment targeting one cell type, osteoclasts. Some patients do not respond to this treatment. In this study, we examined the heterogeneity of bone metastases across different cancer types and within each cancer type,” said co-corresponding author Dr. Xiang H.-F. Zhang, director of the Lester and Sue Smith Breast Center and professor of molecular and cellular biology at Baylor.
“The interesting finding is that there are both similarities and differences that are cancer-type specific. Dr. Zhang’s work previously focused on breast cancer bone metastasis, and I focused on renal cell carcinoma bone metastasis.
By working together, we were able to approach the problem with a unique combined perspective, which critically informed our research strategy,” said Satcher, co-corresponding author of the study.
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.
“Our analysis identified a large number of potential therapeutic targets within each archetype that can be studied for validation,” said first author Fengshuo Liu, graduate student in the Zhang lab.
“Our data is all publicly available, and many groups are already using it for other studies.”
“This study highlights the power of pan-cancer research. The border of different cancer types becomes blurred when they all come to the same place in the bone, so this is a unique opportunity to study different types in the same microenvironment,” said Zhang, William T. Butler, M.D., Endowed Chair for Distinguished Faculty and co-leader of the Breast Cancer Program at the Dan L Duncan Comprehensive Cancer Center at Baylor.
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 5(5): 100888. [article]
Single-cell RNA sequencing on 42 bone metastases from eight cancer types identified three distinct immune cell patterns in the cancer microenvironment, each characterized by an enrichment of specific immune cells: macrophages/osteoclasts (left panel), regulatory/exhausted T cells (center panel) or monocytes. Image courtesy of the authors/Cell Genomics, 2025.
Bone is a common site for metastasis of solid cancers, but cellular 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 used RNA sequencing to characterize bone metastases from eight cancer types. The findings identify three distinct immune ecosystem patterns or 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.
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.
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 5(5): 100888. [article]
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Single-cell RNA sequencing on 42 bone metastases from eight cancer types identified three distinct immune cell patterns in the cancer microenvironment, each characterized by an enrichment of specific immune cells: macrophages/osteoclasts (left panel), regulatory/exhausted T cells (center panel) or monocytes. Image courtesy of the authors/Cell Genomics, 2025.
Bone is a common site for metastasis of solid cancers, but cellular 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 used RNA sequencing to characterize bone metastases from eight cancer types. The findings identify three distinct immune ecosystem patterns or 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.
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.
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 5(5): 100888. [article]
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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
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Single-cell RNA sequencing provides a closer look at the Aedes aegypti midgut
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