DNA methylation-based prognostic subtypes of chordoma tumors in tissue and plasma
Open accessAbstract
BACKGROUND: Chordomas are rare malignant bone cancers of the skull-base and spine. Patient survival is variable and not reliably predicted using clinical factors or molecular features. This study identifies prognostic epigenetic chordoma subtypes that are detected noninvasively using plasma methylomes. METHODS: Methylation profiles of 68 chordoma surgical samples were obtained between 1996 and 2018 across three international centers along with matched plasma methylomes where available. RESULTS: Consensus clustering identified two stable tissue clusters with a disease-specific survival difference that was independent of clinical factors in a multivariate Cox analysis (HR = 14.2, 95%CI: 2.1-94.8, P = 0.0063). Immune-related pathways with genes hypomethylated at promoters and increased immune cell abundance were observed in the poor-performing "Immune-infiltrated" subtype. Cell-to-cell interaction plus extracellular matrix pathway hypomethylation and higher tumor purity were observed in the better-performing "Cellular" subtype. The findings were validated in additional DNA methylation and RNA sequencing datasets as well as with immunohistochemical staining. Plasma methylomes distinguished chordomas from other clinical differential diagnoses by applying fifty chordoma-versus-other binomial generalized linear models in random 20% testing sets (mean AUROC = 0.84, 95%CI: 0.52-1.00). Tissue-based and plasma-based methylation signals were highly correlated in both prognostic clusters. Additionally, leave-one-out models accurately classified all tumors into their correct cluster based on plasma methylation data. CONCLUSIONS: Here, we show the first identification of prognostic epigenetic chordoma subtypes and first use of plasma methylome-based biomarkers to noninvasively diagnose and subtype chordomas. These results may transform patient management by allowing treatment aggressiveness to be balanced with patient risk according to prognosis.
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Methylation-based approaches may provide value in osteosarcoma, chordoma, and other low-mutation contexts.
“while methylation-based approaches may provide value in osteosarcoma, chordoma, and other low-mutation contexts [ 18 , 19 , 20 , 21 ].”
From Signals Alongside Scans: A Genomics-Guided Framework for Liquid Biopsy in Bone and Soft-Tissue Sarcomas (2026) · cites this paper as [19]
Mutation-based assays may be informative in selected chondrosarcoma cases.
“Similarly, mutation-based assays may be informative in selected chondrosarcoma cases”
From Signals Alongside Scans: A Genomics-Guided Framework for Liquid Biopsy in Bone and Soft-Tissue Sarcomas (2026) · cites this paper as [19]
In chondrosarcoma and chordoma, mutation- and methylation-based strategies may be informative in selected molecularly defined cases.
“In chondrosarcoma and chordoma, mutation- and methylation-based strategies may be informative in selected molecularly defined cases, but these approaches are not universally applicable across all patients [ 18 , 19 , 20 , 38 ].”
From Signals Alongside Scans: A Genomics-Guided Framework for Liquid Biopsy in Bone and Soft-Tissue Sarcomas (2026) · cites this paper as [19]
Mutation- and methylation-based strategies are not universally applicable across all chondrosarcoma and chordoma patients.
“In chondrosarcoma and chordoma, mutation- and methylation-based strategies may be informative in selected molecularly defined cases, but these approaches are not universally applicable across all patients [ 18 , 19 , 20 , 38 ].”
From Signals Alongside Scans: A Genomics-Guided Framework for Liquid Biopsy in Bone and Soft-Tissue Sarcomas (2026) · cites this paper as [19]
Cites
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 12,116 · see citing works
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197 · see citing works
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
Wilkerson, M. D., & Hayes, D. N. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq170 · Cited by 5,719 · see citing works
DNA methylation-based classification of central nervous system tumours
Capper, D., Jones, D., Sill, M., Hovestadt, V., Schrimpf, D., Sturm, D., Koelsche, C., Sahm, F., Chávez, L., Reuß, D., et al. (2018) · Nature · doi:10.1038/nature26000 · Cited by 3,046 · see citing works
Tumor microenvironment complexity and therapeutic implications at a glance
Baghban, R., Roshangar, L., Jahanban-Esfahlan, R., Seidi, K., Ebrahimi-Kalan, A., Jaymand, M., Kolahian, S., Javaheri, T., & Zare, P. (2020) · Cell Communication and Signaling · doi:10.1186/s12964-020-0530-4 · Cited by 1,784 · see citing works
Systematic pan-cancer analysis of tumour purity
Aran, D., Sirota, M., & Butte, A. J. (2015) · Nature Communications · doi:10.1038/ncomms9971 · Cited by 1,206 · see citing works
Sensitive tumour detection and classification using plasma cell-free DNA methylomes
Shen, S. Y., Singhania, R., Fehringer, G., Chakravarthy, A., Roehrl, M. H. A., Chadwick, D., Zuzarte, P. C., Borgida, A., Wang, T. T., Li, T., et al. (2018) · Nature · doi:10.1038/s41586-018-0703-0 · Cited by 983 · see citing works
Self-citationCapper, D., Stichel, D., Sahm, F., Jones, D., Schrimpf, D., Sill, M., Schmid, S., Hovestadt, V., Reuß, D., Koelsche, C., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1879-y · Cited by 571 · see citing works
Stacchiotti, S., & Sommer, J. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(14)71190-8 · Cited by 507 · see citing works
Sarcoma classification by DNA methylation profiling
Koelsche, C., Schrimpf, D., Stichel, D., Sill, M., Sahm, F., Reuss, D., Blattner, M., Worst, B. C., Heilig, C., Beck, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20603-4 · Cited by 476 · see citing works
Chordoma: The Nonsarcoma Primary Bone Tumor
Chugh, R. K., Tawbi, H. A.-H., Lucas, D. R., Biermann, J. S., Schuetze, S. M., & Baker, L. H. (2007) · The Oncologist · doi:10.1634/theoncologist.12-11-1344 · Cited by 393 · see citing works
Pan-cancer deconvolution of tumour composition using DNA methylation
Chakravarthy, A., Furness, A., Joshi, K., Ghorani, E., Ford, K., Ward, M. J., King, E. V., Lechner, M., Marafioti, T., Quezada, S. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05570-1 · Cited by 327 · see citing works
Self-citationDetection of renal cell carcinoma using plasma and urine cell-free DNA methylomes
Nuzzo, P. V., Berchuck, J. E., Korthauer, K. D., Spisák, S., Nassar, A. H., Alaiwi, S. A., Chakravarthy, A., Shen, S. Y., Bakouny, Z., Boccardo, F., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0933-1 · Cited by 299 · see citing works
Self-citationDetection and discrimination of intracranial tumors using plasma cell-free DNA methylomes
Nassiri, F., Chakravarthy, A., Feng, S., Shen, S. Y., Nejad, R., Zuccato, J., Voisin, M. R., Patil, V. S., Horbinski, C., Aldape, K., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0932-2 · Cited by 268 · see citing works
Self-citationStacchiotti, S., Gronchi, A., Fossati, P., Akiyama, T., Alapetite, C., Baumann, M. A., Blay, J., Bolle, S., Boriani, S., Bruzzi, P., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx054 · Cited by 239 · see citing works
Self-citationGrabovska, Y., Mackay, A. G., O’Hare, P., Crosier, S., Finetti, M. A., Schwalbe, E. C., Pickles, J. C., Fairchild, A. R., Avery, A., Cockle, J. V., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18070-y · Cited by 210 · see citing works
Incidence and relative survival of chordomas
Smoll, N. R., Gautschi, O. P., Radovanovic, I., Schaller, K., & Weber, D. C. (2013) · Cancer · doi:10.1002/cncr.28032 · Cited by 194 · see citing works
Olar, A., Wani, K., Wilson, C. D., Zadeh, G. M., DeMonte, F., Jones, D., Pfister, S. M., Sulman, E. P., & Aldape, K. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1678-x · Cited by 193 · see citing works
Self-citationThe driver landscape of sporadic chordoma
Tarpey, P. S., Behjati, S., Young, M. D., Martincorena, I., Alexandrov, L. B., Farndon, S. J., Guzzo, C., Hardy, C. W., Latimer, C., Butler, A. P., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01026-0 · Cited by 174 · see citing works
Preparation of cfMeDIP-seq libraries for methylome profiling of plasma cell-free DNA
Shen, S. Y., Burgener, J., Bratman, S., & Carvalho, D. D. D. (2019) · Nature Protocols · doi:10.1038/s41596-019-0202-2 · Cited by 172 · see citing works
Recurrent Chromosomal Copy Number Alterations in Sporadic Chordomas
Le, L. P., Nielsen, G. P., Rosenberg, A. E., Thomas, D. G., Batten, J. M., Deshpande, V., Schwab, J. H., Duan, Z., Xavier, R. J., Hornicek, F. J., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018846 · Cited by 124 · see citing works
Molecular Targeted Therapy in the Treatment of Chordoma: A Systematic Review
Meng, T., Jin, J., Jiang, C., Huang, R., Yin, H., Song, D., & Cheng, L. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00030 · Cited by 113 · see citing works
Bai, J., Shi, J., Li, C., Wang, S., Zhang, T., Hua, X., Zhu, B., Koka, H., Wu, H., Song, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21026-5 · Cited by 113 · see citing works
George, B., Bresson, D., Herman, P., et al. (2015) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2015.03.012 · Cited by 109 · see citing works
Chordoma: update on disease, epidemiology, biology and medical therapies
Frezza, A. M., Botta, L., Trama, A., Tos, A. P. D., & Stacchiotti, S. (2019) · Current Opinion in Oncology · doi:10.1097/cco.0000000000000502 · Cited by 95 · see citing works
Karimi, S., Zuccato, J., Mamatjan, Y., Mansouri, S., Suppiah, S., Nassiri, F., Diamandis, P., Muñoz, D. G., Aldape, K., & Zadeh, G. M. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0766-2 · Cited by 94 · see citing works
Self-citationCancer Classification at the Crossroads
Carbone, A. (2020) · Cancers · doi:10.3390/cancers12040980 · Cited by 88 · see citing works
Gupta, R., Leon, F., Rauth, S., Batra, S. K., & Ponnusamy, M. P. (2020) · Cells · doi:10.3390/cells9020446 · Cited by 86 · see citing works
Choy, E., MacConaill, L. E., Cote, G. M., Le, L. P., Shen, J. K., Nielsen, G. P., Iafrate, A. J., Garraway, L. A., Hornicek, F. J., & Duan, Z. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101283 · Cited by 82 · see citing works
Genomic aberrations frequently alter chromatin regulatory genes in chordoma
Wang, L., Zehir, A., Nafa, K., Zhou, N., Berger, M. F., Casanova, J., Sadowska, J., Lü, C., Allis, C. D., Gounder, M. M., et al. (2016) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22362 · Cited by 74 · see citing works
Chordoma Characterization of Significant Changes of the DNA Methylation Pattern
Rinner, B., Weinhaeusel, A., Lohberger, B., Froehlich, E. V., Pulverer, W., Fischer, C., Meditz, K., Scheipl, S., Trajanoski, S., Guelly, C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056609 · Cited by 45 · see citing works
Diaz, R. J., Güdük, M., Romagnuolo, R., Smith, C. A., Northcott, P. A., Shih, D. J. H., Berisha, F., Flanagan, A. M., Muñoz, D. G., Cusimano, M. D., et al. (2012) · Neoplasia · doi:10.1593/neo.12526 · Cited by 43 · see citing works
Surgical Resection and Adjuvant Radiation Therapy in the Treatment of Skull Base Chordomas
Sanusi, O. R., Arnaout, O. M., Rahme, R. J., et al. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.02.127 · Cited by 42 · see citing works
Genomic and transcriptomic characterization of skull base chordoma
Sa, J. K., Lee, I., Hong, S. D., Kong, D., & Nam, D. (2016) · Oncotarget · doi:10.18632/oncotarget.13616 · Cited by 37 · see citing works
Whole-transcriptome analysis of chordoma of the skull base
Bell, D., Raza, S. M., Bell, A., et al. (2016) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-016-1985-y · Cited by 34 · see citing works
Genome-wide DNA methylation profiling of recurrent and non-recurrent chordomas
Alholle, A., Brini, A. T., Bauer, J., Gharanei, S., Niada, S., Slater, A., Gentle, D., Maher, E. R., Jeys, L. M., Grimer, R. J., et al. (2015) · Epigenetics · doi:10.1080/15592294.2015.1006497 · Cited by 33 · see citing works
Regulation of the Extracellular Matrix by Ciliary Machinery
Collins, I., & Wann, A. K. T. (2020) · Cells · doi:10.3390/cells9020278 · Cited by 33 · see citing works
HOXA7, HOXA9, and HOXA10 are differentially expressed in clival and sacral chordomas
Jäger, D., Barth, T. F. E., Brüderlein, S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-02174-5 · Cited by 31 · see citing works
The tumor immune microenvironmental analysis of 2,033 transcriptomes across 7 cancer types
Kim, S., Kim, A., Shin, J.-Y., & Seo, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-66449-0 · Cited by 25 · see citing works
Transcriptome comparison identifies potential biomarkers of spine and skull base chordomas
Bell, A., DeMonte, F., Raza, S. M., Rhines, L. D., Tatsui, C. E., Prieto, V. G., Fuller, G. N., & Bell, D. (2017) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-017-2224-x · Cited by 24 · see citing works
Zuccato, J., Witiw, C. D., Keith, J. L., et al. (2018) · Spinal Cord Series and Cases · doi:10.1038/s41394-018-0061-z · Cited by 2 · see citing works
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Alabid, I., Yousef, A. J., Patni, M. M., Aloti, R. A., Qassim, Z. A.-A. M., Alothman-Agha, A. A., Hamdy, H. A., Noury, F. M., & Abdelfattah, M. T. (2026) · Cells · doi:10.3390/cells15141271
- Authors
- Zuccato, J. A., Patil, V., Mansouri, S., Liu, J. C., Nassiri, F., Mamatjan, Y., Chakravarthy, A., Karimi, S., Almeida, J. P., Bernat, A.-L., Hasen, M., Singh, O., Khan, S., Kislinger, T., Sinha, N., Froelich, S., Adle-Biassette, H., Aldape, K. D., De Carvalho, D. D., & Zadeh, G.
- Affiliations
- University Health Network (CA)
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Hôpital Lariboisière (FR)
- University of Manitoba (CA)
- Health Sciences Centre (CA)
- Neurosurgery Department, Hôpital Lariboisiere, APHP, Université Paris Diderot, Paris, France
- Department of Pathology, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris, Université de Paris, Paris, France
- National Cancer Institute (US)
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Corresponding author
- Zadeh, Gelareh
- ORCID
- Venue
- Neuro-Oncology
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-10-06
- Volume
- 24
- Issue
- 3
- Pages
- 442-454
- ISSN
- 1522-8517 (ISSN-L)
- 1523-5866
- PMC
- PMC8917394
- OpenAlex
- W3202924187
- Cited by
- 53
- References
- 42
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 19 · 2023: 7 · 2022: 12
- FWCI
- 7.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Neuro-Oncology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Beijing Municipal Science and Technology Commission (Z171100000117002)
- Public Welfare Industry of Health (201402008)
- National Institutes of Health
- Canadian Institutes of Health Research (201512MSH360794-228629, FDN 148430, PJT 165986)
- Princess Margaret Cancer Foundation
- Canada Research Chairs
- Natural Sciences and Engineering Research Council of Canada (489073)
- Terry Fox Research Institute (1106)
- Ontario Institute for Cancer Research
- Canadian Cancer Society (706135)
- Topics
- Health Sciences › Medicine › Rheumatology › Bone Tumor Diagnosis and Treatments
- Health Sciences › Medicine › Surgery › Head and Neck Surgical Oncology
- Health Sciences › Medicine › Surgery › Adrenal and Paraganglionic Tumors
- Keywords
- chordoma, DNA methylation, prognostic subtypes, liquid biopsy, epigenetic biomarkers, tumor immune infiltration, extracellular matrix pathway, tumor purity, disease-specific survival, non-invasive diagnosis
- MeSH terms
- Chordoma, Humans, Prognosis, Multivariate Analysis, Cluster Analysis, DNA Methylation
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