Abstract 5897: Single cell-derived analysis of desmoid tumors for studying tumor-stroma interactions

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Abstract Cancer associated fibroblasts play an important role in the maintenance and remodeling of the tumor microenvironment, providing the appropriate conditions for neoplastic cell growth and invasion. Desmoid tumors (DT), also called aggressive fibromatosis, are rare, locally invasive soft tissue tumors that consist of fibroblastic cells embedded in extracellular matrix. Identification of the stromal cells to study tumor-stroma interactions is difficult due to both populations displaying a fibroblastic phenotype, and no cell marker exists that reliably differentiates between the two populations. Majority of DT arise sporadically due to somatic activating mutations in beta-catenin (CTNNB1), a major effector molecule of canonical Wnt signaling. We established single cell derived colonies from multiple DT samples and characterized the beta-catenin mutation status of each clone by Sanger sequencing. Indeed, we were able to establish both mutant and non-mutant colonies from DT samples. Quantitative PCR for beta-catenin targets AXIN2 and LEF1 confirmed differential activity between the mutant and non-mutant colonies. The specific CTNNB1 codon mutation had no difference on beta-catenin transcriptional activity. We next performed a high throughput surface antigen screen to identify cell markers that can distinguish between the two subpopulations. Our screen found CD142 to be uniquely expressed by the mutant colonies, while the non-mutant colonies uniquely expressed Podoplanin. Quantitative PCR confirmed the differential expression of these markers. Furthermore, the CD142-positive population in heterogeneous DT samples correlated with their mutation frequency. Importantly, CD142-based cell sorting allowed the isolation of the mutant subpopulation even in samples that appeared as wild-type by Sanger sequencing. We also studied the expression of secreted factors in our mutant and non-mutant populations. We observed that CTHRC1, a ligand related to the Wnt/PCP pathway, is highly elevated exclusively in the mutant subpopulations. Recombinant CTHRC1 increased the proliferation rate of DT primary cultures, as measured by BrdU incorporation, while neutralizing antibodies against CTHRC1 decreased cell proliferation. The importance of tumor-stroma interactions cannot be studied without first identifying and characterizing the two populations. This has been especially difficult in soft tissue sarcomas where both the neoplastic and stromal cells exhibit a mesenchymal phenotype. Our study offers a novel method for identifying the mutant and non-mutant subpopulations within desmoid tumors to study how they may interact. Rapidly quantifying tumor composition will also support efforts to understand the natural progression of disease and how it responds to therapy. Citation Format: Mushriq Al-Jazrawe, Steven Xu, Qingxia Wei, Raymond Poon, Benjamin Alman. Single cell-derived analysis of desmoid tumors for studying tumor-stroma interactions [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5897. doi:10.1158/1538-7445.AM2017-5897

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<div><p>The interaction between neoplastic and stromal cells within a tumor mass plays an important role in cancer biology. However, it is challenging to distinguish between tumor and stromal cells in mesenchymal tumors because lineage-specific cell surface markers typically used in other cancers do not distinguish between the different cell subpopulations. Desmoid tumors consist of mesenchymal fibroblast-like cells driven by mutations stabilizing beta-catenin. Here we aimed to identify surface markers that can distinguish mutant cells from stromal cells to study tumor–stroma interactions. We analyzed colonies derived from single cells from human desmoid tumors using a high-throughput surface antigen screen, to characterize the mutant and nonmutant cells. We found that CD142 is highly expressed by the mutant cell populations and correlates with beta-catenin activity. CD142-based cell sorting isolated the mutant population from heterogeneous samples, including one where no mutation was previously detected by traditional Sanger sequencing. We then studied the secretome of mutant and nonmutant fibroblastic cells. PTX3 is one stroma-derived secreted factor that increases mutant cell proliferation via STAT6 activation. These data demonstrate a sensitive method to quantify and distinguish neoplastic from stromal cells in mesenchymal tumors. It identifies proteins secreted by nonmutant cells that regulate mutant cell proliferation that could be therapeutically.</p>Significance:<p>Distinguishing between neoplastic (tumor) and non-neoplastic (stromal) cells within mesenchymal tumors is particularly challenging, because lineage-specific cell surface markers typically used in other cancers do not differentiate between the different cell subpopulations. Here, we developed a strategy combining clonal expansion with surface proteome profiling to identify markers for quantifying and isolating mutant and nonmutant cell subpopulations in desmoid tumors, and to study their interactions via soluble factors.</p></div>

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  • 10.1016/j.cgh.2007.11.011
Desmoid Tumors in a Dutch Cohort of Patients With Familial Adenomatous Polyposis
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Prediction of metastatic behavior in high-grade pleomorphic soft tissue sarcomas by gene expression.
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10561 Background: The biologic heterogeneity of soft tissue sarcomas (STS) complicates treatment. Metastatic propensity may be determined by gene expression patterns that do not correlate well with morphology. In earlier studies, gene expression patterns were identified that distinguish 2 subsets of clear cell renal carcinoma (RCC), serous ovarian carcinoma (OVCA), and aggressive fibromatosis (AF). We reported the use of a gene set derived from these three studies to separate 73 high grade STS into groups with different probabilities of developing metastatic disease (PrMet). We wished to confirm our findings using an independent data set. Methods: We utilized these gene sets, hierarchical clustering (HC), Kaplan-Meier, and log-rank analyses to examine the Affymetrix HU_133 expression profiles of 309 STS. Results: HC using a pooled gene set derived from the AF-, RCC-, and OVCA-gene sets identified subsets of the STS samples. Kaplan-Meier analysis revealed differences in PrMet between the clusters defined by the first branch point of the clustering dendrogram (p=0.048), and also among the 4 different clusters defined by the second branch points (p<0.0001). Analysis also revealed differences in PrMet between the leiomyosarcomas (LMS), dedifferentiated liposarcomas (LipoD), and undifferentiated pleomorphic sarcomas (UDS) (p=0.0004). HC of the LipoD and UDS samples with the pooled probe set divided the samples into 2 groups with different PrMet (p=0.013, and 0.0002, respectively). HC of the UDS samples also showed 4 groups with different PrMet (p=0.0007). In contrast, HC found no subgroups of the LMS samples. Each individual gene set (AF-, RCC-, and OVCA-) separated the UDS samples into subsets of different metastatic outcome, but only the AF- gene set separated the LipoD samples, and no gene set identified LMS subsets. Conclusions: These data confirm our earlier studies and suggest that this approach may allow the identification of more than 2 subsets of high grade STS, each with distinct clinical behavior, and may be useful to stratify STS in clinical trials and in patient management.

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Data from Mesenchymal Stromal Cell Mutations and Wound Healing Contribute to the Etiology of Desmoid Tumors
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  • Research Article
  • Cite Count Icon 14
  • 10.18632/oncotarget.16383
Human microRNA expression in sporadic and FAP-associated desmoid tumors and correlation with beta-catenin mutations.
  • Mar 19, 2017
  • Oncotarget
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Desmoid tumors (DT) are rare, benign, fibroblastic neoplasm with challenging histological diagnosis. DTs can occur sporadically or associated with the familial adenomatous polyposis coli (FAP). Most sporadic DTs are associated with β-catenin gene (CTNNB1) mutations, while mutated APC gene causes FAP disease. microRNAs (miRNAs) are involved in many human carcinogenesis.The miRNA profile was analyzed by microarray in formalin-fixed, paraffin-embedded (FFPE) specimens of 12 patients (8 sporadic, 4 FAP-associated) and 4 healthy controls. One hundred and one mRNAs resulted dysregulated, of which 98 in sporadic DTs and 8 in FAP-associated DTs, 5 were shared by both tumors. Twenty-six miRNAs were then validated by RT-qPCR in 23 sporadic and 7 FAP-associated DT samples matched with healthy controls. The qPCR method was also used to evaluate the CTNNB1 mutational status in sporadic DTs. The correlation between sporadic DTs and miRNA expression showed that miR-21-3p increased in mutated versus wild-type DTs, while miR-197-3p was decreased. The mRNA expression of Tetraspanin3 and Serpin family A member 3, as miR-21-3p targets, and L1 Cell Adhesion Molecule, as miR-197-3p target, was also evaluate. CTNNB1 mutations associated to miRNA dysregulation could affect the genesis and the progression of this disease and help histological diagnosis of sporadic DTs.

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Abstract 2250: Genomic and transcriptomic analyses of desmoid tumor reveals enrichment of transforming growth factor beta responsive signature
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Introduction: Desmoid tumor is a rare aggressive tumor where there is no satisfying systemic treatment. Previous studies showed increased expression of transforming growth factor-β (TGF-β) in the desmoid tumor. Here, we analyzed genomic and transcriptomic data of tumor samples from patients with desmoid tumor to evaluate therapeutic applicability of inhibition of TGF-β response. Methods: We collected pre-treatment desmoid tumor samples from 31 patients in Yonsei cancer center, (YCC)-desmoid cohort and performed targeted next-generation sequencing and whole RNA sequencing. To compare the data with other cancer types, we used whole exome sequencing and whole RNA sequencing data from sarcoma patients from Yonsei Cancer Center (YCC-sarcoma cohort, n = 17 and n =53, respectively) and The Cancer Genome Atlas (TCGA, n = 9,235). Transcriptomic data was normalized throughout the three cohorts to reduce batch effect. To evaluate the enrichment of TGF-β responsive signature (TBRS) in tumor and microenvironment, we calculated the mean expression values of fibroblast-TBRS (F-TBRS) from previous study. Results: In the two sarcoma cohorts (YCC-desmoid and YCC-sarcoma cohorts), desmoid tumor samples had the highest F-TBRS score among the various types of sarcoma. When compared with other cancer types in TCGA, desmoid tumor samples showed the higher F-TBRS than all other cancer types except for pancreatic adenocarcinoma. In the desmoid tumor samples, CTNNB1, GNAQ, and APC mutations were the top 3 frequent mutations (23, 19, and 2 samples, respectively). In the merged two sarcoma cohorts, CTNNB1/APC mutation and GNAQ mutation were both associated with higher enrichment in F-TBRS (p < 0.001, respectively). Conclusion: Desmoid tumors are enriched with expression of genes associated with TGF-β response of fibroblast compared with other cancer types including other sarcomas. In addition, CTNNB1, APC and GNAQ mutations were associated with higher enrichment in TBRS. Therapeutic intervention to decrease the TGF-β response of fibroblast by using TGF-β receptor inhibitor may show clinical benefit in patients with desmoid tumors. Citation Format: Changhee Park, Kum-Hee Yun, Sanghoon Song, Jin Kyung Lee, Jiyeon Ryu, Bitna Oh, Sunjin Hwang, Ki Baik Hahm, Seung-Jin Kim, Seung Hyun Kim, Chan-Young Ock, Hyo-Song Kim. Genomic and transcriptomic analyses of desmoid tumor reveals enrichment of transforming growth factor beta responsive signature [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2250.

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  • Aug 19, 2020
  • Archives of Disease in Childhood
  • Victoria Holden + 3 more

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  • 10.1002/jso.25906
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