Heterogeneity in the gene regulatory landscape of leiomyosarcoma

We set out to model the regulatory mechanisms driving sarcoma heterogeneity based on patient-specific, genome-wide gene regulatory networks.

We propose a simple but efficient approach to characterize inter-tumor regulatory network heterogeneity, which we call PORCUPINE.

Heterogeneity in the gene regulatory landscape of leiomyosarcoma

While cancer subtypes are often characterized by differences in gene expression, the mechanisms driving these differences are generally unknown.

Heterogeneity in the gene regulatory landscape of leiomyosarcoma

We applied it to 80 genome-wide leiomyosarcoma regulatory networks modeled on data from The Cancer Genome Atlas and validated the results in an independent ...

Heterogeneity in the gene regulatory... - ISMB/ECCB 2021 - YouTube

Heterogeneity in the gene regulatory landscape of leiomyosarcoma. - Tatiana Belova - NetBio - Poster - ISMB/ECCB 2021.

The Study of Sarcoma Microenvironment Heterogeneity Associated ...

Also, the endogenous competitive network analysis indicated that several differentially expressed long non-coding RNAs (lncRNAs) associated with the prognosis ...

Publications - Kuijjer Lab

Belova T, Biondi N, Hsieh PH, Lutsik P, Chudasama P, Kuijjer ML*. Heterogeneity in the gene regulatory landscape of leiomyosarcoma. NAR Cancer. 2023 Jul 24 ...

Lineage-defined leiomyosarcoma subtypes emerge years before ...

Leiomyosarcomas (LMS) are genetically heterogeneous tumors differentiating along smooth muscle lines. Currently, LMS treatment is not ...

OUCI

We validated the detected regulatory heterogeneity through analysis of networks and chromatin states in leiomyosarcoma cell lines. We showed that the ...

Highly heterogeneous genomic landscape of uterine leiomyomas by ...

Two UL samples (L33 and L69) harbored a pathologically relevant loss on chromosome 1q, encompassing the FH gene (fumarate hydratase, OMIM 136850 ). Tumor sample ...

Integrative genomic and transcriptomic analysis of leiomyosarcoma

Here we show, using whole-exome and transcriptome sequencing, that LMS tumors are characterized by substantial mutational heterogeneity, near-universal ...

Interrogating the Genomic Landscape of Uterine Leiomyosarcoma

Collectively, the data show that TP53 is the most frequently mutated gene (frequency of 26–92%), followed by RB1 (27–88%), ATRX (24–34%), PTEN (19–75%), and ...

Therapeutic Implication of Genomic Landscape of Adult Metastatic ...

This may suggest that this region harbors an oncogene(s) that is significant for sarcoma tumorigenesis. Furthermore, some sarcoma tumors ...

Integrated mutational landscape analysis of uterine leiomyosarcomas

These findings define the genetic landscape of uLMS and suggest that a subset of uLMS may benefit from existing PARP-, PIK3CA-, and C-MYC/BET-targeted drugs.

Genetics and Genomics of Leiomyosarcoma (LMS)

We will evaluate a large cohort of LMS patients to identify the roles of cancer predisposition genes using WGS to define the genetic factors ...

Targeting the Molecular and Immunologic Features of ... - MDPI

Notable among these deletions are genes involved in cell cycle progression and DNA damage repair at rates similar to those found in UPS [76]. A pan-sarcoma ...

Classification and subtype prediction of adult soft tissue sarcoma by ...

... heterogeneity in leiomyosarcoma, suggesting an independent mechanism of patient heterogeneity driven by the complex landscape of gene regulatory interactions.

Precision Sarcoma Research - German Cancer Research Center

Selected Publications. Belova T, Biondi N, Hsieh PH, Chudasama P, Kuijjer M. Heterogeneity in the gene regulatory landscape of leiomyosarcoma. bioRxiv 2022 ...

Specific immune landscapes and immune checkpoint expressions in ...

Together, these results report an important heterogeneity of expression of each of the 93 ICP/MM genes across sarcoma subgroups, and across patients within the ...

Publications - German Cancer Research Center

List of Publications: Belova T, Biondi N, Hsieh PH, Chudasama P, Kuijjer M. Heterogeneity in the gene regulatory landscape of leiomyosarcoma.