Skip to main content
Top
Published in: Journal of Translational Medicine 1/2021

Open Access 01-12-2021 | Soft Tissue Sarcoma | Research

Deconvolution of sarcoma methylomes reveals varying degrees of immune cell infiltrates with association to genomic aberrations

Authors: Malte Simon, Sadaf S. Mughal, Peter Horak, Sebastian Uhrig, Jonas Buchloh, Bogac Aybey, Albrecht Stenzinger, Hanno Glimm, Stefan Fröhling, Benedikt Brors, Charles D. Imbusch

Published in: Journal of Translational Medicine | Issue 1/2021

Login to get access

Abstract

Background

Soft-tissue sarcomas (STS) are a heterogeneous group of mesenchymal tumors for which response to immunotherapies is not well established. Therefore, it is important to risk-stratify and identify STS patients who will most likely benefit from these treatments.

Results

To reveal shared and distinct methylation signatures present in STS, we performed unsupervised deconvolution of DNA methylation data from the TCGA sarcoma and an independent validation cohort. We showed that leiomyosarcoma can be subclassified into three distinct methylation groups. More importantly, we identified a component associated with tumor-infiltrating leukocytes, which suggests varying degrees of immune cell infiltration in STS subtypes and an association with prognosis. We further investigated the genomic alterations that may influence tumor infiltration by leukocytes including RB1 loss in undifferentiated pleomorphic sarcomas and ELK3 amplification in dedifferentiated liposarcomas.

Conclusions

In summary, we have leveraged unsupervised methylation-based deconvolution to characterize the immune compartment and molecularly stratify subtypes in STS, which may benefit precision medicine in the future.
Appendix
Available only for authorised users
Literature
2.
go back to reference Abeshouse A, Adebamowo C, Adebamowo SN, Akbani R, Akeredolu T, Ally A, et al. Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas. Cell. 2017. Abeshouse A, Adebamowo C, Adebamowo SN, Akbani R, Akeredolu T, Ally A, et al. Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas. Cell. 2017.
3.
go back to reference Tawbi HA, Burgess M, Bolejack V, Van Tine BA, Schuetze SM, Hu J, et al. Pembrolizumab in advanced soft-tissue sarcoma and bone sarcoma (SARC028): a multicentre, two-cohort, single-arm, open-label, phase 2 trial. Lancet Oncol. 2017. Tawbi HA, Burgess M, Bolejack V, Van Tine BA, Schuetze SM, Hu J, et al. Pembrolizumab in advanced soft-tissue sarcoma and bone sarcoma (SARC028): a multicentre, two-cohort, single-arm, open-label, phase 2 trial. Lancet Oncol. 2017.
4.
go back to reference D’Angelo SP, Mahoney MR, Van Tine BA, Atkins J, Milhem MM, Jahagirdar BN, et al. Nivolumab with or without ipilimumab treatment for metastatic sarcoma (Alliance A091401): two open-label, non-comparative, randomised, phase 2 trials. Lancet Oncol. 2018;19:416–26.CrossRef D’Angelo SP, Mahoney MR, Van Tine BA, Atkins J, Milhem MM, Jahagirdar BN, et al. Nivolumab with or without ipilimumab treatment for metastatic sarcoma (Alliance A091401): two open-label, non-comparative, randomised, phase 2 trials. Lancet Oncol. 2018;19:416–26.CrossRef
6.
go back to reference Chalmers ZR, Connelly CF, Fabrizio D, Gay L, Ali SM, Ennis R, et al. Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden. Genome Med. 2017;9:34.CrossRef Chalmers ZR, Connelly CF, Fabrizio D, Gay L, Ali SM, Ennis R, et al. Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden. Genome Med. 2017;9:34.CrossRef
7.
go back to reference Lutsik P, Slawski M, Gasparoni G, Vedeneev N, Hein M, Walter J. MeDeCom: Discovery and quantification of latent components of heterogeneous methylomes. Genome Biol. 2017;12:78. Lutsik P, Slawski M, Gasparoni G, Vedeneev N, Hein M, Walter J. MeDeCom: Discovery and quantification of latent components of heterogeneous methylomes. Genome Biol. 2017;12:78.
8.
go back to reference Stacchiotti S, Van Tine BA. Synovial sarcoma: current concepts and future perspectives. J Clin Oncol Off J Am Soc Clin Oncol. 2018;36:180–7.CrossRef Stacchiotti S, Van Tine BA. Synovial sarcoma: current concepts and future perspectives. J Clin Oncol Off J Am Soc Clin Oncol. 2018;36:180–7.CrossRef
9.
go back to reference Guo X, Jo VY, Mills AM, Zhu SX, Lee CH, Espinosa I, et al. Clinically relevant molecular subtypes in leiomyosarcoma. Clin Cancer Res. 2015. Guo X, Jo VY, Mills AM, Zhu SX, Lee CH, Espinosa I, et al. Clinically relevant molecular subtypes in leiomyosarcoma. Clin Cancer Res. 2015.
10.
go back to reference Beck AH, Lee CH, Witten DM, Gleason BC, Edris B, Espinosa I, et al. Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling. Oncogene. 2010. Beck AH, Lee CH, Witten DM, Gleason BC, Edris B, Espinosa I, et al. Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling. Oncogene. 2010.
11.
go back to reference Owens GK, Wise G. Regulation of differentiation/maturation in vascular smooth muscle cells by hormones and growth factors. Agents Actions Suppl. 1997;48:3–24.PubMed Owens GK, Wise G. Regulation of differentiation/maturation in vascular smooth muscle cells by hormones and growth factors. Agents Actions Suppl. 1997;48:3–24.PubMed
12.
go back to reference Chakravarthy A, Furness A, Joshi K, Ghorani E, Ford K, Ward MJ, et al. Pan-cancer deconvolution of tumour composition using DNA methylation. Nat Commun. 2018;9:3220.CrossRef Chakravarthy A, Furness A, Joshi K, Ghorani E, Ford K, Ward MJ, et al. Pan-cancer deconvolution of tumour composition using DNA methylation. Nat Commun. 2018;9:3220.CrossRef
13.
go back to reference Reinius LE, Acevedo N, Joerink M, Pershagen G, Dahlén SE, Greco D, et al. Differential DNA methylation in purified human blood cells: Implications for cell lineage and studies on disease susceptibility. PLoS ONE. 2012. Reinius LE, Acevedo N, Joerink M, Pershagen G, Dahlén SE, Greco D, et al. Differential DNA methylation in purified human blood cells: Implications for cell lineage and studies on disease susceptibility. PLoS ONE. 2012.
14.
go back to reference Danaher P, Warren S, Dennis L, D’Amico L, White A, Disis ML, et al. Gene expression markers of tumor infiltrating leukocytes. J Immunother Cancer. 2017;5:18.CrossRef Danaher P, Warren S, Dennis L, D’Amico L, White A, Disis ML, et al. Gene expression markers of tumor infiltrating leukocytes. J Immunother Cancer. 2017;5:18.CrossRef
15.
go back to reference Lesluyes T, Pérot G, Largeau MR, Brulard C, Lagarde P, Dapremont V, et al. RNA sequencing validation of the Complexity INdex in SARComas prognostic signature. Eur J Cancer. 2016;4:75. Lesluyes T, Pérot G, Largeau MR, Brulard C, Lagarde P, Dapremont V, et al. RNA sequencing validation of the Complexity INdex in SARComas prognostic signature. Eur J Cancer. 2016;4:75.
17.
go back to reference Fu Y, Jung AW, Torne RV, Gonzalez S, Vöhringer H, Shmatko A, et al. Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis. Nat Cancer. 2020;1:800–10.CrossRef Fu Y, Jung AW, Torne RV, Gonzalez S, Vöhringer H, Shmatko A, et al. Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis. Nat Cancer. 2020;1:800–10.CrossRef
18.
go back to reference Laird PW. The power and the promise of DNA methylation markers. Nat Rev Cancer. 2003;3:253–66.CrossRef Laird PW. The power and the promise of DNA methylation markers. Nat Rev Cancer. 2003;3:253–66.CrossRef
19.
go back to reference Romanov GA, Vanyushin BF. Methylation of reiterated sequences in mammalian DNAs Effects of the tissue type, age, malignancy and hormonal induction. Biochim Biophys Acta BBA. 1981;653:204–18.CrossRef Romanov GA, Vanyushin BF. Methylation of reiterated sequences in mammalian DNAs Effects of the tissue type, age, malignancy and hormonal induction. Biochim Biophys Acta BBA. 1981;653:204–18.CrossRef
20.
go back to reference Ehrlich M, Lacey M. DNA hypomethylation and hemimethylation in cancer. Adv Exp Med Biol. 2013;754:31–56.CrossRef Ehrlich M, Lacey M. DNA hypomethylation and hemimethylation in cancer. Adv Exp Med Biol. 2013;754:31–56.CrossRef
21.
go back to reference Gama-Sosa MA, Slagel VA, Trewyn RW, Oxenhandler R, Kuo KC, Gehrke CW, et al. The 5-methylcytosine content of DNA from human tumors. Nucleic Acids Res. 1983;11:6883–94.CrossRef Gama-Sosa MA, Slagel VA, Trewyn RW, Oxenhandler R, Kuo KC, Gehrke CW, et al. The 5-methylcytosine content of DNA from human tumors. Nucleic Acids Res. 1983;11:6883–94.CrossRef
23.
go back to reference Dufresne A, Lesluyes T, Ménétrier-Caux C, Brahmi M, Darbo E, Toulmonde M, et al. Specific immune landscapes and immune checkpoint expressions in histotypes and molecular subtypes of sarcoma. OncoImmunology. 2020;9:1792036.CrossRef Dufresne A, Lesluyes T, Ménétrier-Caux C, Brahmi M, Darbo E, Toulmonde M, et al. Specific immune landscapes and immune checkpoint expressions in histotypes and molecular subtypes of sarcoma. OncoImmunology. 2020;9:1792036.CrossRef
24.
go back to reference Keung EZ, Burgess M, Salazar R, Parra ER, Rodrigues-Canales J, Bolejack V, et al. Correlative analyses of the SARC028 trial reveal an association between sarcoma-associated immune infiltrate and response to pembrolizumab. Clin Cancer Res. 2020;26:1258–66.CrossRef Keung EZ, Burgess M, Salazar R, Parra ER, Rodrigues-Canales J, Bolejack V, et al. Correlative analyses of the SARC028 trial reveal an association between sarcoma-associated immune infiltrate and response to pembrolizumab. Clin Cancer Res. 2020;26:1258–66.CrossRef
25.
go back to reference Okamura T, Fujio K, Shibuya M, Sumitomo S, Shoda H, Sakaguchi S, et al. CD4+CD25−LAG3+ regulatory T cells controlled by the transcription factor Egr-2. Proc Natl Acad Sci USA. 2009;106:13974–9.CrossRef Okamura T, Fujio K, Shibuya M, Sumitomo S, Shoda H, Sakaguchi S, et al. CD4+CD25−LAG3+ regulatory T cells controlled by the transcription factor Egr-2. Proc Natl Acad Sci USA. 2009;106:13974–9.CrossRef
26.
go back to reference Worthington JJ, Kelly A, Smedley C, Bauché D, Campbell S, Marie JC, et al. Integrin αvβ8-mediated TGF-β activation by effector regulatory T cells is essential for suppression of T-cell-mediated inflammation. Immunity. 2015;42:903–15.CrossRef Worthington JJ, Kelly A, Smedley C, Bauché D, Campbell S, Marie JC, et al. Integrin αvβ8-mediated TGF-β activation by effector regulatory T cells is essential for suppression of T-cell-mediated inflammation. Immunity. 2015;42:903–15.CrossRef
27.
go back to reference Miyara M, Ito Y, Sakaguchi S. T REG -cell therapies for autoimmune rheumatic diseases. Nat Rev Rheumatol. 2014;10:543–51.CrossRef Miyara M, Ito Y, Sakaguchi S. T REG -cell therapies for autoimmune rheumatic diseases. Nat Rev Rheumatol. 2014;10:543–51.CrossRef
28.
go back to reference Jiang Y, Li Y, Zhu B. T-cell exhaustion in the tumor microenvironment. Cell Death Dis. 2015;6:e1792–e1792.CrossRef Jiang Y, Li Y, Zhu B. T-cell exhaustion in the tumor microenvironment. Cell Death Dis. 2015;6:e1792–e1792.CrossRef
29.
go back to reference Kraft S, Kinet J-P. New developments in FcεRI regulation, function and inhibition. Nat Rev Immunol. 2007;7:365–78.CrossRef Kraft S, Kinet J-P. New developments in FcεRI regulation, function and inhibition. Nat Rev Immunol. 2007;7:365–78.CrossRef
30.
go back to reference Josephs DH, Spicer JF, Karagiannis P, Gould HJ, Karagiannis SN. IgE immunotherapy mAbs. 2014;6:54–72.PubMed Josephs DH, Spicer JF, Karagiannis P, Gould HJ, Karagiannis SN. IgE immunotherapy mAbs. 2014;6:54–72.PubMed
31.
go back to reference Petitprez F, Reyniès A, Keung EZ, Chen TW, Sun CM, Calderaro J, et al. B cells are associated with survival and immunotherapy response in sarcoma. Nature. 2020;577:556–60.CrossRef Petitprez F, Reyniès A, Keung EZ, Chen TW, Sun CM, Calderaro J, et al. B cells are associated with survival and immunotherapy response in sarcoma. Nature. 2020;577:556–60.CrossRef
35.
go back to reference Schelker M, Feau S, Du J, Ranu N, Klipp E, MacBeath G, et al. Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. Nat Commun. 2017;21:554. Schelker M, Feau S, Du J, Ranu N, Klipp E, MacBeath G, et al. Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. Nat Commun. 2017;21:554.
37.
go back to reference Hutcheson J, Witkiewicz AK, Knudsen ES. The RB tumor suppressor at the intersection of proliferation and immunity: relevance to disease immune evasion and immunotherapy. Cell Cycle. 2015;14:3812–9.CrossRef Hutcheson J, Witkiewicz AK, Knudsen ES. The RB tumor suppressor at the intersection of proliferation and immunity: relevance to disease immune evasion and immunotherapy. Cell Cycle. 2015;14:3812–9.CrossRef
38.
go back to reference Hutcheson J, Bourgo RJ, Balaji U, Ertel A, Witkiewicz AK, Knudsen ES. Retinoblastoma protein potentiates the innate immune response in hepatocytes: significance to hepatocellular carcinoma. Hepatol Baltim Md. 2014;60:1231–40.CrossRef Hutcheson J, Bourgo RJ, Balaji U, Ertel A, Witkiewicz AK, Knudsen ES. Retinoblastoma protein potentiates the innate immune response in hepatocytes: significance to hepatocellular carcinoma. Hepatol Baltim Md. 2014;60:1231–40.CrossRef
39.
go back to reference Muñoz-Fontela C, Mandinova A, Aaronson SA, Lee SW. Emerging roles of p53 and other tumour-suppressor genes in immune regulation. Nat Rev Immunol. 2016;16:741–50.CrossRef Muñoz-Fontela C, Mandinova A, Aaronson SA, Lee SW. Emerging roles of p53 and other tumour-suppressor genes in immune regulation. Nat Rev Immunol. 2016;16:741–50.CrossRef
40.
go back to reference Chudasama P, Mughal SS, Sanders MA, Hübschmann D, Chung I, Deeg KI, et al. Integrative genomic and transcriptomic analysis of leiomyosarcoma. Nat Commun. 2018;21:89. Chudasama P, Mughal SS, Sanders MA, Hübschmann D, Chung I, Deeg KI, et al. Integrative genomic and transcriptomic analysis of leiomyosarcoma. Nat Commun. 2018;21:89.
41.
go back to reference Al-Kharusi MRA, Smartt HJM, Greenhough A, Collard TJ, Emery ED, Williams AC, et al. LGR5 promotes survival in human colorectal adenoma cells and is upregulated by PGE2: implications for targeting adenoma stem cells with NSAIDs. Carcinogenesis. 2013;34:1150–7.CrossRef Al-Kharusi MRA, Smartt HJM, Greenhough A, Collard TJ, Emery ED, Williams AC, et al. LGR5 promotes survival in human colorectal adenoma cells and is upregulated by PGE2: implications for targeting adenoma stem cells with NSAIDs. Carcinogenesis. 2013;34:1150–7.CrossRef
42.
go back to reference Kemper K, Prasetyanti PR, De Lau W, Rodermond H, Clevers H, Medema JP. Monoclonal antibodies against Lgr5 identify human colorectal cancer stem cells. Stem Cells Dayt Ohio. 2012;30:2378–86.CrossRef Kemper K, Prasetyanti PR, De Lau W, Rodermond H, Clevers H, Medema JP. Monoclonal antibodies against Lgr5 identify human colorectal cancer stem cells. Stem Cells Dayt Ohio. 2012;30:2378–86.CrossRef
43.
go back to reference Barker N, van Es JH, Kuipers J, Kujala P, van den Born M, Cozijnsen M, et al. Identification of stem cells in small intestine and colon by marker gene Lgr5. Nature. 2007;449:1003–7.CrossRef Barker N, van Es JH, Kuipers J, Kujala P, van den Born M, Cozijnsen M, et al. Identification of stem cells in small intestine and colon by marker gene Lgr5. Nature. 2007;449:1003–7.CrossRef
44.
go back to reference Luke JJ, Bao R, Sweis RF, Spranger S, Gajewski TF. WNT/β-catenin pathway activation correlates with immune exclusion across human cancers. Clin Cancer Res. 2019;1942:2018. Luke JJ, Bao R, Sweis RF, Spranger S, Gajewski TF. WNT/β-catenin pathway activation correlates with immune exclusion across human cancers. Clin Cancer Res. 2019;1942:2018.
45.
go back to reference Kong S-Y, Kim K-S, Kim J, Kim MK, Lee KH, Lee J-Y, et al. The ELK3-GATA3 axis orchestrates invasion and metastasis of breast cancer cells in vitro and in vivo. Oncotarget. 2016;7:65137–46.CrossRef Kong S-Y, Kim K-S, Kim J, Kim MK, Lee KH, Lee J-Y, et al. The ELK3-GATA3 axis orchestrates invasion and metastasis of breast cancer cells in vitro and in vivo. Oncotarget. 2016;7:65137–46.CrossRef
46.
go back to reference Lee JH, Hur W, Hong SW, Kim J-H, Kim SM, Lee EB, et al. ELK3 promotes the migration and invasion of liver cancer stem cells by targeting HIF-1α. Oncol Rep. 2017;37:813–22.CrossRef Lee JH, Hur W, Hong SW, Kim J-H, Kim SM, Lee EB, et al. ELK3 promotes the migration and invasion of liver cancer stem cells by targeting HIF-1α. Oncol Rep. 2017;37:813–22.CrossRef
47.
go back to reference Li TZ, Kim SM, Hur W, Choi JE, Kim J-H, Hong SW, et al. Elk-3 contributes to the progression of liver fibrosis by regulating the epithelial–mesenchymal transition. Gut Liver. 2017;11:102–11.CrossRef Li TZ, Kim SM, Hur W, Choi JE, Kim J-H, Hong SW, et al. Elk-3 contributes to the progression of liver fibrosis by regulating the epithelial–mesenchymal transition. Gut Liver. 2017;11:102–11.CrossRef
48.
go back to reference Davis LE, Jeng S, Svalina MN, Huang E, Pittsenbarger J, Cantor EL, et al. Integration of genomic, transcriptomic and functional profiles of aggressive osteosarcomas across multiple species. Oncotarget. 2017;8:76241–56.CrossRef Davis LE, Jeng S, Svalina MN, Huang E, Pittsenbarger J, Cantor EL, et al. Integration of genomic, transcriptomic and functional profiles of aggressive osteosarcomas across multiple species. Oncotarget. 2017;8:76241–56.CrossRef
49.
go back to reference Assenov Y, Müller F, Lutsik P, Walter J, Lengauer T, Bock C. Comprehensive analysis of DNA methylation data with RnBeads. Nat Methods. 2014. Assenov Y, Müller F, Lutsik P, Walter J, Lengauer T, Bock C. Comprehensive analysis of DNA methylation data with RnBeads. Nat Methods. 2014.
50.
go back to reference Wang X, Guan Z, Sheng Y, Tian Y. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. J Eng Res. 2013. Wang X, Guan Z, Sheng Y, Tian Y. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. J Eng Res. 2013.
51.
go back to reference Harris MA, Clark J, Ireland A, Lomax J, Ashburner M, Foulger R, et al. The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res. 2004;32 Database issue:D258–261. Harris MA, Clark J, Ireland A, Lomax J, Ashburner M, Foulger R, et al. The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res. 2004;32 Database issue:D258–261.
52.
go back to reference Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28:27–30.CrossRef Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28:27–30.CrossRef
53.
go back to reference Horak P, Klink B, Heining C, Groschel S, Hutter B, Frohlich M, et al. Precision oncology based on omics data: the NCT Heidelberg experi- ence. Int J Cancer. 2017. Horak P, Klink B, Heining C, Groschel S, Hutter B, Frohlich M, et al. Precision oncology based on omics data: the NCT Heidelberg experi- ence. Int J Cancer. 2017.
Metadata
Title
Deconvolution of sarcoma methylomes reveals varying degrees of immune cell infiltrates with association to genomic aberrations
Authors
Malte Simon
Sadaf S. Mughal
Peter Horak
Sebastian Uhrig
Jonas Buchloh
Bogac Aybey
Albrecht Stenzinger
Hanno Glimm
Stefan Fröhling
Benedikt Brors
Charles D. Imbusch
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2021
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-021-02858-7

Other articles of this Issue 1/2021

Journal of Translational Medicine 1/2021 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine