Discovery highlights potential targets to help manage this rare cancer, which frequently recurs despite treatment

New research from an expert in cancer biology explains what triggers liposarcoma cells to become more- or less-aggressive and identifies potential targets that could keep aggressive tumors in check. A study led by Blake Wilde, PhD, of Roswell Park Comprehensive Cancer Center highlights how this important discovery may pave the way to new treatment options for this cancer.
More than half of all people with liposarcoma will see their cancer return after treatment, underscoring the need for new and better treatment options. The two most common types of this cancer that begins in fat tissues are well-differentiated (WD) and dedifferentiated (DD) liposarcoma, explains the study’s first author, Blake Wilde, PhD, Assistant Professor of Oncology in the Departments of Urology and Cell Stress Biology at Roswell Park.
While WD liposarcoma tends to grow slowly and usually can be managed with surgery, DD liposarcoma grows faster and is more likely to spread and resist treatment. One tumor can contain both types in different regions, with the dominant type affecting how the cancer behaves.
In some cases, WD tumor cells rapidly become DD cells, while some DD tumors begin to grow more slowly. At the same time, some tumors are found to have changed from one type to another when they reappear after treatment. What causes these transformations?
Using single-nucleus RNA sequencing, Dr. Wilde and a team of colleagues analyzed tissue samples from patients with liposarcomas that contained both WD and DD regions. They discovered the presence of tumor cells similar to stem cells that can transform into either WD or DD liposarcoma cells to resupply different regions of the tumor.
Study overview and histologic characterization of WD/DD liposarcoma for single-nucleus RNA sequencing

(A) Schematic of experimental workflow. Computed tomography (CT) scan from a patient with untreated retroperitoneal WD/DD LPS (sagittal view), demonstrating differential contrast enhancement consistent with spatially distinct WD and DD tumor regions. Tumor samples were collected at the time of surgical resection. Both WD and DD components were independently macrodissected from each tumor, analyzed for histological and molecular features, and subjected separately to snRNA-seq. (B) H&E staining of matched WD and DD components from the same tumor. The WD region is characterized by abundant lipoblasts and adipocytic differentiation, while the DD component shows increased cellularity and nuclear atypia. (C) DNA-FISH for MDM2 reveals gene amplification (red), with chromosome 12 centromere probe (green) as control.
“We found that a protein called PPAR-gamma acts as a switch that helps determine whether these stem-like cells will develop into the more mature, fat-like state of well-differentiated liposarcoma or remain in the immature, rapidly growing state of dedifferentiated, or poorly differentiated, liposarcoma,” he says.
“This discovery explains how different forms of liposarcoma can arise and be maintained within the same tumor,” says Dr. Wilde. “It also points to the stem-like cells and biological programs that may need to be targeted to prevent a manageable tumor from progressing into a more dangerous form.”
Source – Roswell Park Comprehensive Cancer Center
Discovery highlights potential targets to help manage this rare cancer, which frequently recurs despite treatment
New research from an expert in cancer biology explains what triggers liposarcoma cells to become more- or less-aggressive and identifies potential targets that could keep aggressive tumors in check. A study led by Blake Wilde, PhD, of Roswell Park Comprehensive Cancer Center highlights how this important discovery may pave the way to new treatment options for this cancer.
More than half of all people with liposarcoma will see their cancer return after treatment, underscoring the need for new and better treatment options. The two most common types of this cancer that begins in fat tissues are well-differentiated (WD) and dedifferentiated (DD) liposarcoma, explains the study’s first author, Blake Wilde, PhD, Assistant Professor of Oncology in the Departments of Urology and Cell Stress Biology at Roswell Park.
While WD liposarcoma tends to grow slowly and usually can be managed with surgery, DD liposarcoma grows faster and is more likely to spread and resist treatment. One tumor can contain both types in different regions, with the dominant type affecting how the cancer behaves.
In some cases, WD tumor cells rapidly become DD cells, while some DD tumors begin to grow more slowly. At the same time, some tumors are found to have changed from one type to another when they reappear after treatment. What causes these transformations?
Using single-nucleus RNA sequencing, Dr. Wilde and a team of colleagues analyzed tissue samples from patients with liposarcomas that contained both WD and DD regions. They discovered the presence of tumor cells similar to stem cells that can transform into either WD or DD liposarcoma cells to resupply different regions of the tumor.
Study overview and histologic characterization of WD/DD liposarcoma for single-nucleus RNA sequencing
(A) Schematic of experimental workflow. Computed tomography (CT) scan from a patient with untreated retroperitoneal WD/DD LPS (sagittal view), demonstrating differential contrast enhancement consistent with spatially distinct WD and DD tumor regions. Tumor samples were collected at the time of surgical resection. Both WD and DD components were independently macrodissected from each tumor, analyzed for histological and molecular features, and subjected separately to snRNA-seq. (B) H&E staining of matched WD and DD components from the same tumor. The WD region is characterized by abundant lipoblasts and adipocytic differentiation, while the DD component shows increased cellularity and nuclear atypia. (C) DNA-FISH for MDM2 reveals gene amplification (red), with chromosome 12 centromere probe (green) as control.
Source – Roswell Park Comprehensive Cancer Center
Wilde B, Klingbeil K, Day F, Dann C, Frias C, Nakasaki M, Dry S, Eilber F, Crompton J, Shackelford D, Kadera B, Christofk H. (2026) PPARG governs adipogenic differentiation and cell state plasticity in well-differentiated and dedifferentiated liposarcoma Science Advances 12(31): eaea6516. [article]
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Discovery highlights potential targets to help manage this rare cancer, which frequently recurs despite treatment
New research from an expert in cancer biology explains what triggers liposarcoma cells to become more- or less-aggressive and identifies potential targets that could keep aggressive tumors in check. A study led by Blake Wilde, PhD, of Roswell Park Comprehensive Cancer Center highlights how this important discovery may pave the way to new treatment options for this cancer.
More than half of all people with liposarcoma will see their cancer return after treatment, underscoring the need for new and better treatment options. The two most common types of this cancer that begins in fat tissues are well-differentiated (WD) and dedifferentiated (DD) liposarcoma, explains the study’s first author, Blake Wilde, PhD, Assistant Professor of Oncology in the Departments of Urology and Cell Stress Biology at Roswell Park.
While WD liposarcoma tends to grow slowly and usually can be managed with surgery, DD liposarcoma grows faster and is more likely to spread and resist treatment. One tumor can contain both types in different regions, with the dominant type affecting how the cancer behaves.
In some cases, WD tumor cells rapidly become DD cells, while some DD tumors begin to grow more slowly. At the same time, some tumors are found to have changed from one type to another when they reappear after treatment. What causes these transformations?
Using single-nucleus RNA sequencing, Dr. Wilde and a team of colleagues analyzed tissue samples from patients with liposarcomas that contained both WD and DD regions. They discovered the presence of tumor cells similar to stem cells that can transform into either WD or DD liposarcoma cells to resupply different regions of the tumor.
Study overview and histologic characterization of WD/DD liposarcoma for single-nucleus RNA sequencing
(A) Schematic of experimental workflow. Computed tomography (CT) scan from a patient with untreated retroperitoneal WD/DD LPS (sagittal view), demonstrating differential contrast enhancement consistent with spatially distinct WD and DD tumor regions. Tumor samples were collected at the time of surgical resection. Both WD and DD components were independently macrodissected from each tumor, analyzed for histological and molecular features, and subjected separately to snRNA-seq. (B) H&E staining of matched WD and DD components from the same tumor. The WD region is characterized by abundant lipoblasts and adipocytic differentiation, while the DD component shows increased cellularity and nuclear atypia. (C) DNA-FISH for MDM2 reveals gene amplification (red), with chromosome 12 centromere probe (green) as control.
Source – Roswell Park Comprehensive Cancer Center
Wilde B, Klingbeil K, Day F, Dann C, Frias C, Nakasaki M, Dry S, Eilber F, Crompton J, Shackelford D, Kadera B, Christofk H. (2026) PPARG governs adipogenic differentiation and cell state plasticity in well-differentiated and dedifferentiated liposarcoma Science Advances 12(31): eaea6516. [article]
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Benchmarking RNA sequencing for more accurate alternative splicing analysis
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Small RNA sequencing reveals regulatory roles for sdRNAs in acute myeloid leukemia
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
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