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Ignatius, M. S.

Publications and source records attributed to Ignatius, M. S..

5 recordsLinked to original sources

The 3D chromatin landscape of rhabdomyosarcoma

Rhabdomyosarcoma (RMS) is a pediatric soft tissue cancer with a lack of precision therapy option for patients. We hypothesized that with a general paucity of known mutations in RMS, chromatin structural driving mechanisms are essential for tumor proliferation. Thus, we carried out high-depth in situ Hi-C in representative cell lines and patient-derived xenografts to understand chromatin architecture in each major RMS subtype. We report a comprehensive 3D chromatin structural analysis and characterization of fusion-positive (FP-RMS) and fusion-negative rhabdomyosarcoma (FN-RMS). We have generated spike-in in situ Hi-C chromatin interaction maps for the most common FP-RMS and FN-RMS cell lines, and compared our data with patient derived xenograft (PDX) models. In our studies we uncover common and distinct structural elements in large Mb-scale chromatin compartments, tumor-essential genes within variable topologically associating domains, and unique patterns of structural variation. Our comprehensive analysis provides high-depth chromatin interactivity maps for contextualizing gene regulation events identification of functionally critical chromatin domains in RMS. HIGHLIGHTSO_LIPAX3-FOXO1 and MYOD localize in both A- and B-compartments C_LIO_LIConserved mechanisms dictate CTCF orientation at TAD boundaries in RMS C_LIO_LIDifferential TADs in each RMS subtype encompass tumor-specific genes C_LIO_LINeo-TADs are formed from SV events in each subtype of RMS C_LIO_LIBoth major RMS subtypes have structural variation that is identifiable from Hi-C C_LIO_LIDistinct mechanisms can produce the major fusion alleles in rhabdomyosarcoma C_LIO_LIPAX3-FOXO1 and MYOD genomic binding is more enriched at regions with CNV C_LI

cancer biology↗

Sensitization to Ionizing Radiation by MEK inhibition is Dependent on SNAI2 in Fusion-negative Rhabdomyosarcoma

In fusion-negative rhabdomyosarcoma (FN-RMS), a pediatric malignancy with skeletal muscle characteristics, > 90% of high-risk patients have mutations that activate the RAS/MEK signaling pathway. We recently discovered that SNAI2, in addition to blocking myogenic differentiation downstream of MEK signaling in FN-RMS, represses pro-apoptotic BIM expression to protect RMS tumors from ionizing radiation (IR). As clinically relevant concentrations of the MEK inhibitor trametinib elicit poor responses in preclinical xenograft models, we investigated the utility of low-dose trametinib in combination with IR for the treatment of RAS-mutant FN-RMS. We hypothesized that trametinib would sensitize FN-RMS to IR through its downregulation of SNAI2 expression. While we observed little to no difference in myogenic differentiation or cell survival with trametinib treatment alone, robust differentiation and reduced survival were observed after IR. Additionally, IR-induced apoptosis was significantly increased in FN-RMS cells treated concurrently with trametinib, as was increased BIM expression. SNAI2s role in these processes was established using overexpression rescue experiments, where overexpression of SNAI2 prevented IR-induced myogenic differentiation and apoptosis. Moreover, combining MEK inhibitor with IR resulted in complete tumor regression and a 2-4-week delay in event free survival (EFS) in preclinical xenograft and PDX models. Our findings demonstrate that the combination of MEK inhibition and IR results in robust differentiation and apoptosis, due to the reduction of SNAI2, which leads to extended EFS in FN-RMS. SNAI2 thus is a biomarker of IR insensitivity and target for future therapies to sensitize aggressive sarcomas to IR.

cancer biology↗

Defining function of wild-type and patient specific TP53 mutations in a zebrafish model of embryonal rhabdomyosarcoma

In embryonal rhabdomyosarcoma (ERMS) and generally in sarcomas, the role of wild-type and loss or gain of function TP53 mutations remains largely undefined. Eliminating mutant or restoring wild-type p53 is challenging; nevertheless, understanding TP53 effects on tumorigenesis remains central to realizing better treatment outcomes. In ERMS, >70% of patients retain wild-type TP53, yet TP53 mutations when present in tumors are associated with poor prognosis. Employing a kRASG12D-driven ERMS tumor model and newly generated tp53 null (tp53-/-) zebrafish, we define both wild-type and patient-specific TP53 mutant effects on tumorigenesis. We demonstrate that tp53 is a major suppressor of tumor initiation, where tp53 loss expands tumors initiation from <35% to >97% of animals. Next, characterizing three patient-specific mutants finds that TP53C176F partially retains wild-type p53 apoptotic activity that can be exploited, while the TP53P153{Delta} and TP53Y220C mutants define two structural mutations that predispose to head musculature ERMS.

cancer biology↗

SNAI2-mediated direct repression of BIM protects rhabdomyosarcoma from ionizing radiation

Ionizing radiation (IR) and chemotherapy are the mainstays of treatment for patients with rhabdomyosarcoma (RMS). Yet, the molecular mechanisms that underlie the success or failure of radiotherapy remain unclear. The transcriptional repressor SNAI2 was previously identified as a key regulator of IR sensitivity in normal and malignant stem cells through its repression of the proapoptotic BH3-only gene PUMA. Here, we demonstrate a clear correlation between SNAI2 expression levels and radiosensitivity across multiple RMS cell lines. Moreover, modulating SNAI2 levels in RMS cells through its overexpression or knockdown can alter radiosensitivity in vitro and in vivo. SNAI2 expression reliably promotes overall cell growth and inhibits mitochondrial apoptosis following exposure to IR, with either variable or minimal effects on differentiation and senescence, respectively. Importantly, SNAI2 knockdown results in a striking increase in expression of the proapoptotic BH3-only gene BIM, and ChIP-seq experiments establish that SNAI2 is a direct repressor of BIM. Since the P53 pathway is nonfunctional in the RMS cells used in this study, we have identified a new, P53-independent SNAI2/BIM axis that could potentially predict clinical responses to IR treatment and be exploited to improve RMS therapy. HighlightsO_LISNAI2 expression levels are directly correlated with protection from radiation in rhabdomyosarcoma. C_LIO_LILoss of SNAI2 primes rhabdomyosarcomas for IR-induced apoptosis. C_LIO_LISNAI2 directly represses the expression of the proapoptotic BH3-only gene BIM. C_LI

cancer biology↗

Single-cell RNA Profiling Identifies Diverse Cellular Responses to EWSR1-FLI1 Down-regulation in Ewing Sarcoma

Single-cell analyses provide insight into time dependent behaviors in response to dynamic changes of oncogene expression. We developed an unbiased approach to study gene expression variation using a model of cellular dormancy induced via EWSR1-FLI1 down-regulation in Ewing sarcoma (EWS) cells. We propose that variation in the expression of EWSR1-FLI1 over time determines cellular responses. Cell state and functions were assigned using random forest feature selection in combination with machine learning. Notably, three distinct expression profiles were uncovered contributing to Ewing sarcoma cell heterogeneity. Our predictive model identified [~]1% cells in a dormant-like state and [~]2-4% with higher stem-like and neural stem-like features in an exponentially proliferating EWS cell line and EWS xenografts. Following oncogene knockdown, cells re-entering the proliferative cycle have greater stem-like properties, whereas for those remaining quiescent, FAM134B-dependent dormancy provides a survival mechanism. We also show cell cycle heterogeneity related to EWSR1-FLI1 expression as an independent feature driving cancer heterogeneity, and drug resistance.\n\nSIGNIFICANCEWe show that time-dependent changes induced by suppression of oncogenic EWSR1-FLI1 induces dormancy, with different subpopulation dynamics, including stem-like characteristics and prolonged dormancy. Cells with these characteristics are identified in exponentially growing cell populations and confer drug resistance, and could potentially contribute to metastasis or late recurrence in patients.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC=\"FIGDIR/small/750539v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (24K):\norg.highwire.dtl.DTLVardef@6a5449org.highwire.dtl.DTLVardef@c39124org.highwire.dtl.DTLVardef@16e0a45org.highwire.dtl.DTLVardef@1644614_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗