Johnson KC, Spitzer A, Varn FS, Nomura M, Garofano L, Chowdhury T, Lipsa A, Zhang L, Fernández EC, Barak T, Gulhan Ercan-Sencicek A, Peksen AB, Anderson KJ, Tesileanu CMS, Amin SB, Kocakavuk E, Zhao D, D’Angelo F, Migliozzi S, Bussema L, Gritsch S, Moon HE, Paek SH, Bielle F, Laurenge A, Di Stefano AL, Mathon B, Picca A, Sanson M, Hau AC, Hertel F, Grzyb K, Zhao Z, Wang Q, Jiang T, Miller JJ, Wakimoto H, Cahill DP, Moliterno J, Günel M, Hermes B, Sanai N, Golebiewska A, Niclou SP, Huse J, Alfred Yung WK, Lasorella A, Suvà ML, Iavarone A, Tirosh I, Verhaak RGW. (2026) Acquired genetic and cell-state changes in IDH-mutant glioma progression. Nature [Epub ahead of print]. [article]
For patients diagnosed with IDH-mutant glioma, an incurable brain tumor that often affects adults in their 30s and 40s, treatment typically works at first. However, the cancer almost always returns, and when it does, it frequently stops responding to treatment.
Now, Yale researchers and their collaborators at Massachusetts General Hospital, the Weizmann Institute of Science, and the University of Miami have mapped how these tumors shift from initial diagnosis to recurrence. In a new study published June 3 in Nature, the team identified two broad patterns: Some tumors remain relatively stable, while others acquire new genetic alterations and shift into more aggressive cellular states associated with reduced treatment sensitivity.
To investigate this question, the researchers analyzed molecular data from tumors collected from 35 patients with IDH-mutant glioma. Rather than relying only on bulk tumor sequencing, which provides an average view of many cells, the team integrated multiple layers of molecular information, including DNA sequencing, single-cell RNA sequencing, and single-cell chromatin accessibility profiling.
DNA sequencing allowed the team to track genetic alterations in the tumors over time, including mutations acquired after treatment. Single-cell RNA sequencing allowed them to measure gene activity in individual tumor cells, while chromatin accessibility profiling revealed which regions of the genome were active. Together, these tools helped the team link specific genetic events to the cell states and regulatory programs that emerge as tumors recur.
Two paths after treatment
The analysis revealed a clear divide in how IDH-mutant gliomas progress after treatment. In some patients, recurrent tumors remained relatively stable, with limited genetic and cellular changes. In others, the tumors acquired new genetic alterations and transitioned toward more aggressive cellular programs.
One hallmark of this pattern was the emergence of a more stem cell-like and proliferative tumor cell state. Another involved the emergence of a tumor cell state associated with changes in the tumor microenvironment, including immune cells linked to immune suppression. This latter pattern was strikingly similar to what has been observed in glioblastoma, the most lethal brain cancer, the team says.
While the findings reveal how therapy can shape the changes that occur in recurrent tumors, the researchers emphasize that current treatments remain beneficial for patients.
Ultimately, the researchers hope their findings will help guide new approaches that keep tumors on a treatment-sensitive path.
Fueling this scientific push are the meaningful personal connections they maintain with the patient community. “The patients really motivate us to keep going,” Johnson says.
Source – Yale University School of Medicine
Johnson KC, Spitzer A, Varn FS, Nomura M, Garofano L, Chowdhury T, Lipsa A, Zhang L, Fernández EC, Barak T, Gulhan Ercan-Sencicek A, Peksen AB, Anderson KJ, Tesileanu CMS, Amin SB, Kocakavuk E, Zhao D, D’Angelo F, Migliozzi S, Bussema L, Gritsch S, Moon HE, Paek SH, Bielle F, Laurenge A, Di Stefano AL, Mathon B, Picca A, Sanson M, Hau AC, Hertel F, Grzyb K, Zhao Z, Wang Q, Jiang T, Miller JJ, Wakimoto H, Cahill DP, Moliterno J, Günel M, Hermes B, Sanai N, Golebiewska A, Niclou SP, Huse J, Alfred Yung WK, Lasorella A, Suvà ML, Iavarone A, Tirosh I, Verhaak RGW. (2026) Acquired genetic and cell-state changes in IDH-mutant glioma progression. Nature [Epub ahead of print]. [article]
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For patients diagnosed with IDH-mutant glioma, an incurable brain tumor that often affects adults in their 30s and 40s, treatment typically works at first. However, the cancer almost always returns, and when it does, it frequently stops responding to treatment.
Now, Yale researchers and their collaborators at Massachusetts General Hospital, the Weizmann Institute of Science, and the University of Miami have mapped how these tumors shift from initial diagnosis to recurrence. In a new study published June 3 in Nature, the team identified two broad patterns: Some tumors remain relatively stable, while others acquire new genetic alterations and shift into more aggressive cellular states associated with reduced treatment sensitivity.
To investigate this question, the researchers analyzed molecular data from tumors collected from 35 patients with IDH-mutant glioma. Rather than relying only on bulk tumor sequencing, which provides an average view of many cells, the team integrated multiple layers of molecular information, including DNA sequencing, single-cell RNA sequencing, and single-cell chromatin accessibility profiling.
DNA sequencing allowed the team to track genetic alterations in the tumors over time, including mutations acquired after treatment. Single-cell RNA sequencing allowed them to measure gene activity in individual tumor cells, while chromatin accessibility profiling revealed which regions of the genome were active. Together, these tools helped the team link specific genetic events to the cell states and regulatory programs that emerge as tumors recur.
Two paths after treatment
The analysis revealed a clear divide in how IDH-mutant gliomas progress after treatment. In some patients, recurrent tumors remained relatively stable, with limited genetic and cellular changes. In others, the tumors acquired new genetic alterations and transitioned toward more aggressive cellular programs.
One hallmark of this pattern was the emergence of a more stem cell-like and proliferative tumor cell state. Another involved the emergence of a tumor cell state associated with changes in the tumor microenvironment, including immune cells linked to immune suppression. This latter pattern was strikingly similar to what has been observed in glioblastoma, the most lethal brain cancer, the team says.
While the findings reveal how therapy can shape the changes that occur in recurrent tumors, the researchers emphasize that current treatments remain beneficial for patients.
Ultimately, the researchers hope their findings will help guide new approaches that keep tumors on a treatment-sensitive path.
Fueling this scientific push are the meaningful personal connections they maintain with the patient community. “The patients really motivate us to keep going,” Johnson says.
Source – Yale University School of Medicine
Johnson KC, Spitzer A, Varn FS, Nomura M, Garofano L, Chowdhury T, Lipsa A, Zhang L, Fernández EC, Barak T, Gulhan Ercan-Sencicek A, Peksen AB, Anderson KJ, Tesileanu CMS, Amin SB, Kocakavuk E, Zhao D, D’Angelo F, Migliozzi S, Bussema L, Gritsch S, Moon HE, Paek SH, Bielle F, Laurenge A, Di Stefano AL, Mathon B, Picca A, Sanson M, Hau AC, Hertel F, Grzyb K, Zhao Z, Wang Q, Jiang T, Miller JJ, Wakimoto H, Cahill DP, Moliterno J, Günel M, Hermes B, Sanai N, Golebiewska A, Niclou SP, Huse J, Alfred Yung WK, Lasorella A, Suvà ML, Iavarone A, Tirosh I, Verhaak RGW. (2026) Acquired genetic and cell-state changes in IDH-mutant glioma progression. Nature [Epub ahead of print]. [article]
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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
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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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