Suva Lab
@suvalab.bsky.social
Brain cancer, single cell and spatial genomics. Mass General. Broad Institute. Harvard Medical School.
Such an exciting step! Huge congratulations!
August 27, 2025 at 1:39 PM
Such an exciting step! Huge congratulations!
Awesome work Fede and team!
May 16, 2025 at 9:09 PM
Awesome work Fede and team!
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15/ This of course wouldn't have been possible without the generous contribution of the patients and their families, for which we are ever thankful.
May 10, 2025 at 10:57 PM
15/ This of course wouldn't have been possible without the generous contribution of the patients and their families, for which we are ever thankful.
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14/ Big thanks also to the institutions that provided tumor samples @dukepress.bsky.social, @mdanderson.bsky.social, Tokyo University Hospital, Pitié-Salpêtrière Hospital, St. Michael's Hospital, Seoul National University and NORLUX and funders NIH, NCI, Mark Foundation and Sontag Foundation.
May 10, 2025 at 10:57 PM
14/ Big thanks also to the institutions that provided tumor samples @dukepress.bsky.social, @mdanderson.bsky.social, Tokyo University Hospital, Pitié-Salpêtrière Hospital, St. Michael's Hospital, Seoul National University and NORLUX and funders NIH, NCI, Mark Foundation and Sontag Foundation.
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13/ @weizmanninstitute.bsky.social, Mass General Brigham (Cancer Center, Pathology), @broadinstitute.org, @yalepress.bsky.social and University of Miami.
May 10, 2025 at 10:57 PM
13/ @weizmanninstitute.bsky.social, Mass General Brigham (Cancer Center, Pathology), @broadinstitute.org, @yalepress.bsky.social and University of Miami.
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12/ Big thanks to the PIs that supervised the project @itaytirosh.bsky.social, @suvalab.bsky.social, @roelverhaak.bsky.social, Antonio Iavarone and Anna Lasorella, all collaborators and institutions involved in the CARE consortium >
May 10, 2025 at 10:57 PM
12/ Big thanks to the PIs that supervised the project @itaytirosh.bsky.social, @suvalab.bsky.social, @roelverhaak.bsky.social, Antonio Iavarone and Anna Lasorella, all collaborators and institutions involved in the CARE consortium >
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11/ To sum-up, our multi-center study offers a high-resolution atlas of GBM recurrence dynamics, shaped by treatment response and TME context and underscores the tremendous heterogeneity of this devastating disease.
May 10, 2025 at 10:57 PM
11/ To sum-up, our multi-center study offers a high-resolution atlas of GBM recurrence dynamics, shaped by treatment response and TME context and underscores the tremendous heterogeneity of this devastating disease.
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10/ Overall genetic divergence (SNVs + CNAs) correlated with transcriptional evolution, suggesting that GBM cell state shifts during recurrence are at least partially genomically driven.
May 10, 2025 at 10:57 PM
10/ Overall genetic divergence (SNVs + CNAs) correlated with transcriptional evolution, suggesting that GBM cell state shifts during recurrence are at least partially genomically driven.
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9/ Small deletion phenotype (linked to radiotherapy) was associated with hypoxia-related states at recurrence, likely reflecting selection of radioresistant subpopulations. SBS21 (MMR-deficiency signature) also increased post-treatment in both CARE and GLASS cohorts.
May 10, 2025 at 10:57 PM
9/ Small deletion phenotype (linked to radiotherapy) was associated with hypoxia-related states at recurrence, likely reflecting selection of radioresistant subpopulations. SBS21 (MMR-deficiency signature) also increased post-treatment in both CARE and GLASS cohorts.
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8/ Interestingly, quantifying MGMT activity from the single-cell expression data outperformed promoter methylation as a prognostic marker in this cohort.
May 10, 2025 at 10:57 PM
8/ Interestingly, quantifying MGMT activity from the single-cell expression data outperformed promoter methylation as a prognostic marker in this cohort.
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7/ However, in certain sub-groups, specific trajectories do tend to recur more often. First, MGMT-Low tumors (likely TMZ responders) tend to lose MES-like states whereas MGMT-High tumors (likely non-responders) tend to gain MES-like at recurrence.
May 10, 2025 at 10:57 PM
7/ However, in certain sub-groups, specific trajectories do tend to recur more often. First, MGMT-Low tumors (likely TMZ responders) tend to lose MES-like states whereas MGMT-High tumors (likely non-responders) tend to gain MES-like at recurrence.
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6/ Despite global conservation, individual matched tumor pairs showed frequent divergence, with the majority switching at least one transcriptional layer. Overall, 72% of all possible transitions were observed across the cohort.
May 10, 2025 at 10:57 PM
6/ Despite global conservation, individual matched tumor pairs showed frequent divergence, with the majority switching at least one transcriptional layer. Overall, 72% of all possible transitions were observed across the cohort.
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5/ Contrary to previous studies, we did not observe a significant enrichment of mesenchymal-like (MES-like) states at recurrence. Instead, recurrence trajectories were diverse and patient-specific, with no single state dominating across the cohort.
May 10, 2025 at 10:57 PM
5/ Contrary to previous studies, we did not observe a significant enrichment of mesenchymal-like (MES-like) states at recurrence. Instead, recurrence trajectories were diverse and patient-specific, with no single state dominating across the cohort.
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4/ And now for the results! Across the cohort the most consistent change at recurrence was reduced malignant cell fraction, with a reciprocal increase in glial and neuronal TME cells. This was observed in ~66% of patients, suggesting increased tumor integration into brain tissue.
May 10, 2025 at 10:57 PM
4/ And now for the results! Across the cohort the most consistent change at recurrence was reduced malignant cell fraction, with a reciprocal increase in glial and neuronal TME cells. This was observed in ~66% of patients, suggesting increased tumor integration into brain tissue.
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3/ We first leveraged this large cohort to revisit the intra- and inter-tumor heterogeneity in GBM and characterized three multi-layered transcriptional ecosystems. Read more about this study in this great thread by @masashi-nomura.bsky.social →
bsky.app/profile/masa...
bsky.app/profile/masa...
1/ Thrilled to share our TWO back-to-back papers published in Nature Genetics today! www.nature.com/articles/s41... , www.nature.com/articles/s41...
The multilayered transcriptional architecture of glioblastoma ecosystems - Nature Genetics
Integrated single-cell transcriptomic and genetic characterization of 121 adult glioblastomas identifies heterogeneity at cell type, cell state and baseline expression program levels associated with s...
www.nature.com
May 10, 2025 at 10:57 PM
3/ We first leveraged this large cohort to revisit the intra- and inter-tumor heterogeneity in GBM and characterized three multi-layered transcriptional ecosystems. Read more about this study in this great thread by @masashi-nomura.bsky.social →
bsky.app/profile/masa...
bsky.app/profile/masa...
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2/ In this study we profiled the longitudinal evolution of glioblastoma at single-cell resolution - altogether 121 treatment-naïve and exposed tumors from 59 patients, 430K nuclei, full clinical annotation and whole exome/genome sequencing.
May 10, 2025 at 10:57 PM
2/ In this study we profiled the longitudinal evolution of glioblastoma at single-cell resolution - altogether 121 treatment-naïve and exposed tumors from 59 patients, 430K nuclei, full clinical annotation and whole exome/genome sequencing.
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I thank my great mentor/boss @suvalab.bsky.social and outstanding co-PIs @itaytirosh.bsky.social, @roelverhaak.bsky.social, Antonio Iavarone and Anna Lasorella. Also appreciate all collaborators, patients and their families who generously provided the samples.
May 9, 2025 at 10:20 AM
I thank my great mentor/boss @suvalab.bsky.social and outstanding co-PIs @itaytirosh.bsky.social, @roelverhaak.bsky.social, Antonio Iavarone and Anna Lasorella. Also appreciate all collaborators, patients and their families who generously provided the samples.
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12/ Before that, I would like to say thank wonderful co-first authors/friends, @avishayspitzer.bsky.social, @kevin-johnson.bsky.social and Luciano Garofano.
May 9, 2025 at 10:20 AM
12/ Before that, I would like to say thank wonderful co-first authors/friends, @avishayspitzer.bsky.social, @kevin-johnson.bsky.social and Luciano Garofano.
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11/ How this architecture evolves during progression from primary to recurrent GBM is addressed in the second paper, that will be introduced by @avishayspitzer.bsky.social in the following threads later.
May 9, 2025 at 10:19 AM
11/ How this architecture evolves during progression from primary to recurrent GBM is addressed in the second paper, that will be introduced by @avishayspitzer.bsky.social in the following threads later.
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10/ These three layers of heterogeneity are inter-related and partially associated with specific genetic aberrations, thereby defining three stereotypic ecosystems in GBM. This work provides an unparalleled view of the multi-layered transcriptional architecture of GBM.
May 9, 2025 at 10:19 AM
10/ These three layers of heterogeneity are inter-related and partially associated with specific genetic aberrations, thereby defining three stereotypic ecosystems in GBM. This work provides an unparalleled view of the multi-layered transcriptional architecture of GBM.
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9/ Third, after controlling for the frequencies of cellular states, we find that the remaining variation between GBM samples highlights three baseline gene expression programs which we labeled Neuronal, Glial, and Extracellular Matrix.
May 9, 2025 at 10:18 AM
9/ Third, after controlling for the frequencies of cellular states, we find that the remaining variation between GBM samples highlights three baseline gene expression programs which we labeled Neuronal, Glial, and Extracellular Matrix.
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8/ Second, we describe the diversity of cellular states and their pathway-based functional activities, with an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like, and cilia-like states that were previously depleted by tumor dissociation
May 9, 2025 at 10:18 AM
8/ Second, we describe the diversity of cellular states and their pathway-based functional activities, with an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like, and cilia-like states that were previously depleted by tumor dissociation
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7/ First, GBMs can be classified by their broad cellular composition, encompassing malignant, immune, vascular, neuronal, and glial cell types.
May 9, 2025 at 10:17 AM
7/ First, GBMs can be classified by their broad cellular composition, encompassing malignant, immune, vascular, neuronal, and glial cell types.
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6/ In the first paper, we intensively analyzed GBM cellular heterogeneity, irrespective of time points. Our analyses reveled three transcriptomic layers that contribute to GBM heterogeneity.
May 9, 2025 at 10:17 AM
6/ In the first paper, we intensively analyzed GBM cellular heterogeneity, irrespective of time points. Our analyses reveled three transcriptomic layers that contribute to GBM heterogeneity.