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Trent, J.

Publications and source records attributed to Trent, J..

5 recordsLinked to original sources

Longitudinal single cell RNA-sequencing reveals evolution of micro- and macro-states in chronic myeloid leukemia

Single cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cancer, yet identifying meaningful disease states from single cell data remains challenging. Here, we systematically explore the chronic myeloid leukemia (CML) specific information content encoded in single cell versus bulk transcriptomics to resolve this paradox and clarify how discrete disease-defining states emerge from inherently noisy single cell data. We demonstrate that, while CML single cell transcriptomes exist along continuous transcriptional microstates, clinically relevant leukemia phenotypes clearly manifest only at the pseudobulk (macrostate) level. By leveraging state-transition theory, we reveal how robust disease phenotype state-transitions are governed by cell type specific contributions. Our results establish a theoretical framework explaining why discrete disease phenotypes remain hidden at the single cell scale but emerge clearly at the aggregated macrostate level, enabling previously inaccessible biological insights into leukemia evolution. By resolving how single-cell variation aggregates into macroscopic disease states, our framework provides new insight into CML progression and offers a broadly applicable strategy for exploring disease dynamics across cancers and other complex conditions.

systems biology↗

State-transition Modeling of Blood Transcriptome Predicts Disease Evolution and Treatment Response in Chronic Myeloid Leukemia (CML)

Chronic myeloid leukemia (CML) is initiated and maintained by BCR::ABL which is clinically targeted using tyrosine kinase inhibitors (TKIs). TKIs can induce long-term remission but are also not curative. Thus, CML is an ideal system to test our hypothesis that transcriptome-based state-transition models accurately predict cancer evolution and treatment response. We collected time-sequential blood samples from tetracycline-off (Tet-Off) BCR::ABL-inducible transgenic mice and wild-type controls. From the transcriptome, we constructed a CML statespace and a three-well leukemogenic potential landscape. The potentials stable critical points defined observable disease states. Early states were characterized by anti-CML genes opposing leukemia; late states were characterized by pro-CML genes. Genes with expression patterns shaped similarly to the potential landscape were identified as drivers of disease transition. Re-introduction of tetracycline to silence the BCR::ABL gene returned diseased mice transcriptomes to a near healthy state, without reaching it, suggesting parts of the transition are irreversible. TKI only reverted the transcriptome to an intermediate disease state, without approaching a state of health; disease relapse occurred soon after treatment. Using only the earliest time-point as initial conditions, our state-transition models accurately predicted both disease progression and treatment response, supporting this as a potentially valuable approach to time clinical intervention even before phenotypic changes become detectable.

cancer biology↗

The novel reversible LSD1 inhibitor SP-2577 promotes anti-tumor immunity in SWItch/Sucrose-NonFermentable (SWI/SNF) complex mutated ovarian cancer

Chromatin remodeling SWItch/Sucrose-NonFermentable (SWI/SNF) complexes, initially identified in yeast 20 years ago, are evolutionarily conserved multi-subunit protein complexes that use the energy from hydrolysis of adenosine triphosphate (ATP) to remodel nucleosome structure and modulate transcription. Mutations in proteins of SWI/SNF complexes occur in 20% of human cancers including ovarian cancer (OC). Approximately 50% of ovarian clear cell carcinoma (OCCC) carries mutations in the SWI/SNF subunit ARID1A while small cell carcinoma of the ovary hypercalcemic type (SCCOHT) is driven primarily by genetic inactivation of the SWI/SNF ATPase SMARCA4 (BRG1) alongside epigenetic silencing of the homolog ATPase SMARCA2 (BRM). Dual loss of these ATPases disrupts SWI/SNF chromatin remodeling activity and may also interfere with the function of other histone-modifying enzymes that associate with or are dependent on SWI/SNF activity. One such enzyme is lysine-specific histone demethylase 1 (LSD1/KDM1A) which regulates the chromatin landscape and gene expression by demethylating proteins, including histone H3. LSD1 associates with epigenetic complexes such as the nucleosome remodeling deacetylase complex (NuRD) and SWI/SNF to inhibit the transcription of genes involved in tumor suppression and cell differentiation. TGCA analysis of human cancers shows that LSD1 is highly expressed in SWI/SNF-mutated tumors. Further, SCCOHT and OCCC cell lines show low nM IC50s for the reversible LSD1 inhibitor SP-2577 (Seclidemstat, currently in clinical phase I trials), supporting that these SWI/SNF-deficient ovarian cancers are dependent on LSD1 activity. Recently, it has been also shown that inhibition of LSD1 stimulates interferon (IFN)-dependent anti-tumor immunity through induction of Endogenous Retroviruses Elements (ERVs) and may thereby overcome resistance to checkpoint blockade. Additionally, SCCOHTs have been shown to exhibit an immune-active tumor microenvironment with PD-L1 expression in both tumor and stromal cells that strongly correlated with T cell infiltration. Thus, in this study we investigated the ability of SP-2577 to promote anti-tumor immunity and T cell infiltration in SWI/SNF-mutant SCCOHT and OCCC models. Our data shows that the reversible LSD1 inhibitor SP-2577 stimulates IFN-dependent anti-tumor immunity in SCCOHT cells in vitro in a 3D immune-organoid platform. Additionally, SP-2577 promoted the expression of PD-L1 in both SCCOHT and OCCC models. Together our findings suggest that SP-2577 and checkpoint inhibitors as a therapeutic combination may induce or augment immunogenic responses in these tumors.

cancer biology↗

Identification of frequent activating HER2 mutations in primary canine pulmonary adenocarcinoma

Naturally occurring primary canine lung cancers are aggressive malignancies that are increasingly common in pet dogs. They share clinicopathologic features with human lung cancers in never-smokers, but their genetic underpinnings are unknown. Through multi-platform sequencing of 88 primary canine lung tumors or cell lines, we discovered somatic, coding HER2 (ERRB2) point mutations in 38% of canine pulmonary adenocarcinomas (cPAC, 28/74), but none in adenosquamous (cPASC, 0/11) or squamous cell (cPSCC, 0/3) carcinomas. In cPASC, PTEN was the most frequently mutated gene (18%) while one case each bore likely pathogenic HRAS, KRAS, EGFR, MET, TP53, or VHL somatic mutations. In cPSCC, no recurrently mutated genes were identified, but individual somatic coding mutations were found in BRAF and PTPN11. In cPAC, we also identified recurrent somatic mutation of TP53 (13.5%), SMAD4 (5.4%), PTEN (4.1%), and VHL (2.7%). cPACs assessed by exome sequencing displayed a low somatic mutation burden (median 64 point mutations, 19 focal copy number variants, and 1 translocation). The majority (93%) of HER2 mutations were hotspot V659E transmembrane domain (TMD) mutations comparable to activating mutations at this same site in human cancer. Other HER2 mutations identified in this study were located in the extracellular domain and TMD. HER2V659E was detected in the plasma of 33% (2/6) of dogs with localized HER2V659E tumors. HER2V659E correlated with constitutive phosphorylation of AKT in cPAC cell lines and HER2V659E lines displayed hypersensitivity to the HER2 inhibitors lapatinib and neratinib relative to HER2-wild-type cell lines. These findings have translational and comparative relevance for lung cancer and HER2 inhibition.

cancer biology↗

Somatic inactivating PTPRJ mutations and dysregulated pathways identified in canine melanoma by integrated comparative genomic analysis

Canine malignant melanoma, a significant cause of mortality in domestic dogs, is a powerful comparative model for human melanoma, but little is known about its genetic etiology. We mapped the genomic landscape of canine melanoma through multi-platform analysis of 37 tumors (31 mucosal, 3 acral, 2 cutaneous, and 1 uveal) and 17 matching constitutional samples including long- and short-insert whole genome sequencing, RNA sequencing, array comparative genomic hybridization, single nucleotide polymorphism array, and targeted Sanger sequencing analyses. We identified novel predominantly truncating mutations in the putative tumor suppressor gene PTPRJ in 19% of cases. No BRAF mutations were detected, but activating RAS mutations (24% of cases) occurred in conserved hotspots in all cutaneous and acral and 13% of mucosal subtypes. MDM2 amplifications (24%) and TP53 mutations (19%) were mutually exclusive. Additional low-frequency recurrent alterations were observed amidst low point mutation rates, an absence of ultraviolet light mutational signatures, and an abundance of copy number and structural alterations. Mutations that modulate cell proliferation and cell cycle control were common and highlight therapeutic axes such as MEK and MDM2 inhibition. This mutational landscape resembles that seen in BRAF wild-type and sun-shielded human melanoma subtypes. Overall, these data inform biological comparisons between canine and human melanoma while suggesting actionable targets in both species.\n\nAUTHOR SUMMARYMelanoma, an aggressive cancer arising from transformed melanocytes, commonly occurs in pet dogs. Unlike human melanoma, which most often occurs in sun-exposed cutaneous skin, canine melanoma typically arises in sun-shielded oral mucosa. Clinical features of canine melanoma resemble those of human melanoma, particularly the less common sun-shielded human subtypes. However, whereas the genomic basis of diverse human melanoma subtypes is well understood, canine melanoma genomics remain poorly defined. Similarly, although diverse new treatments for human melanoma based on a biologic disease understanding have recently shown dramatic improvements in outcomes for these patients, treatments for canine melanoma are limited and outcomes remain universally poor. Detailing the genomic basis of canine melanoma thus provides untapped potential for improving the lives of pet dogs while also helping to establish canine melanoma as a comparative model system for informing human melanoma biology and treatment. In order to better define the genomic landscape of canine melanoma, we performed multi-platform characterization of 37 tumors. Our integrated analysis confirms that these tumors commonly contain mutations in canine orthologs of human cancer genes such as RAS, MDM2, and TP53 as well mutational patterns that share important similarities with human melanoma subtypes. We have also found a new putative cancer gene, PTPRJ, frequently mutated in canine melanoma. These data will guide additional biologic and therapeutic studies in canine melanoma while framing the utility of comparative studies of canine and human cancers more broadly.

cancer biology↗