Evidence map›Paper›PMID 35260776›Full record

ArticleCommunications biology2022

Genome-wide DNA methylation patterns reveal clinically relevant predictive and prognostic subtypes in human osteosarcoma.

Christopher E Lietz, Erik T Newman, Andrew D Kelly, David H Xiang, Ziying Zhang, Caroline A Luscko, Santiago A Lozano-Calderon, David H Ebb, Kevin A Raskin, Gregory M Cote and 5 more

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Review
  2. Article
  3. Integrated Multiomic Profiling Enhances Risk Stratification and Prognostication in Canine Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. The DNA methylation landscape of musculoskeletal sarcomas.Exploration of targeted anti-tumor therapy · 2025
    Review
  16. Article
  17. Large-Scale Comparative Analysis of Canine and Human Osteosarcomas Uncovers Conserved Clinically Relevant Tumor Microenvironment Subtypes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Christopher E LietzDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9682-6004
Erik T NewmanDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Andrew D KellyFoundation Medicine, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5338-7689
David H XiangDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Ziying ZhangDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1772-2328
Caroline A LusckoDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Santiago A Lozano-CalderonDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
David H EbbDivision of Pediatric Hematology/Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Kevin A RaskinDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Gregory M CoteDivision of Hematology/Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
Edwin ChoyDivision of Hematology/Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9896-8084
G Petur NielsenDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Benjamin Haibe-KainsDepartment of Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, M5G 2M9, ON, Canada.
Martin J AryeeDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6848-1344
Dimitrios SpentzosDepartment of Orthopaedic Surgery, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA. dspentzos@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-8455-4809

Funding

Integrated models for metastatic phenotype and outcome prediction in osteosarcomaR01CA178908 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SPENTZOS, DIMITRIOS · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA178908
6 · The paper itself

Abstract

Aberrant methylation of genomic DNA has been reported in many cancers. Specific DNA methylation patterns have been shown to provide clinically useful prognostic information and define molecular disease subtypes with different response to therapy and long-term outcome. Osteosarcoma is an aggressive malignancy for which approximately half of tumors recur following standard combined surgical resection and chemotherapy. No accepted prognostic factor save tumor necrosis in response to adjuvant therapy currently exists, and traditional genomic studies have thus far failed to identify meaningful clinical associations. We studied the genome-wide methylation state of primary tumors and tested how they predict patient outcomes. We discovered relative genomic hypomethylation to be strongly predictive of response to standard chemotherapy. Recurrence and survival were also associated with genomic methylation, but through more site-specific patterns. Furthermore, the methylation patterns were reproducible in three small independent clinical datasets. Downstream transcriptional, in vitro, and pharmacogenomic analysis provides insight into the clinical translation of the methylation patterns. Our findings suggest the assessment of genomic methylation may represent a strategy for stratifying patients for the application of alternative therapies.

Indexed as

Bone NeoplasmsOsteosarcomaDNADNA MethylationHumansPrognosisDNA

Identifiers

PMID35260776
PMCPMC8904843

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.