Researchers have long known that mesothelioma tumor cells have diverse characteristics. These differences, known as cell heterogeneity, have a direct impact on how the disease progresses and what treatments will work best, and understanding them is essential to the successful development of targeted therapies. The differences have also made accurate diagnosis much more challenging. A group of researchers recently used single-cell RNA sequencing to study this phenomenon and learn more about mesothelioma from cell cultures, from the tumor microenvironment, and from circulating tumor cells.
Study Shows Mesothelioma Cells Have Unique Characteristics Depending on Origin
Researchers from the University Health Network of Toronto, Canada, and Northwestern University in Evanston, Illinois found that while cell culture genes were involved in proliferation and cell death, the circulating tumor cells were associated with cancer cell stemness, which is the ability to self-renew and differentiate into other cell types. The tumor microenvironment cells interacted with the tumor cells, facilitating cell transition and immune responses.
The researchers theorize that the distinct gene signatures in the different mesothelioma cell subpopulation each play important roles in the development of the tumor and how it progresses, and say that each one offers its own novel target for treatment. They hope that identifying each of these separate gene signatures will help researchers offer more effective, personalized treatments for malignant mesothelioma patients and improve patient outcomes.
Researchers Believe Understanding of Mesothelioma Cell Heterogeneity Is Essential
In discussing their findings, the researchers explained that in working to identify the unique gene signature of each mesothelioma cell cluster and their distinct functional properties, they may have provided “clues to better understand the specific functions contributing to tumorigenesis and progression, so as to search potential novel targets for therapeutic strategies.”
Source – Mesothelioma.net
Researchers have long known that mesothelioma tumor cells have diverse characteristics. These differences, known as cell heterogeneity, have a direct impact on how the disease progresses and what treatments will work best, and understanding them is essential to the successful development of targeted therapies. The differences have also made accurate diagnosis much more challenging. A group of researchers recently used single-cell RNA sequencing to study this phenomenon and learn more about mesothelioma from cell cultures, from the tumor microenvironment, and from circulating tumor cells.
Study Shows Mesothelioma Cells Have Unique Characteristics Depending on Origin
Researchers from the University Health Network of Toronto, Canada, and Northwestern University in Evanston, Illinois found that while cell culture genes were involved in proliferation and cell death, the circulating tumor cells were associated with cancer cell stemness, which is the ability to self-renew and differentiate into other cell types. The tumor microenvironment cells interacted with the tumor cells, facilitating cell transition and immune responses.
The researchers theorize that the distinct gene signatures in the different mesothelioma cell subpopulation each play important roles in the development of the tumor and how it progresses, and say that each one offers its own novel target for treatment. They hope that identifying each of these separate gene signatures will help researchers offer more effective, personalized treatments for malignant mesothelioma patients and improve patient outcomes.
Researchers Believe Understanding of Mesothelioma Cell Heterogeneity Is Essential
Source – Mesothelioma.net
Wu L, Wang Z, Zia A, Kelley SO, de Perrot M. (2025) Mesothelioma cell heterogeneity identified by single-cell RNA sequencing. Sci Rep 15(1):8725. [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 have long known that mesothelioma tumor cells have diverse characteristics. These differences, known as cell heterogeneity, have a direct impact on how the disease progresses and what treatments will work best, and understanding them is essential to the successful development of targeted therapies. The differences have also made accurate diagnosis much more challenging. A group of researchers recently used single-cell RNA sequencing to study this phenomenon and learn more about mesothelioma from cell cultures, from the tumor microenvironment, and from circulating tumor cells.
Study Shows Mesothelioma Cells Have Unique Characteristics Depending on Origin
Researchers from the University Health Network of Toronto, Canada, and Northwestern University in Evanston, Illinois found that while cell culture genes were involved in proliferation and cell death, the circulating tumor cells were associated with cancer cell stemness, which is the ability to self-renew and differentiate into other cell types. The tumor microenvironment cells interacted with the tumor cells, facilitating cell transition and immune responses.
The researchers theorize that the distinct gene signatures in the different mesothelioma cell subpopulation each play important roles in the development of the tumor and how it progresses, and say that each one offers its own novel target for treatment. They hope that identifying each of these separate gene signatures will help researchers offer more effective, personalized treatments for malignant mesothelioma patients and improve patient outcomes.
Researchers Believe Understanding of Mesothelioma Cell Heterogeneity Is Essential
Source – Mesothelioma.net
Wu L, Wang Z, Zia A, Kelley SO, de Perrot M. (2025) Mesothelioma cell heterogeneity identified by single-cell RNA sequencing. Sci Rep 15(1):8725. [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