Comprehensive Genomic Profiling Alters Clinical Diagnoses in a Significant Fraction of Tumors Suspicious of Sarcoma

Author:

Öfverholm Ingegerd12ORCID,Wallander Karin12ORCID,Haglund Cecilia13ORCID,Chellappa Venkatesh4ORCID,Wejde Johan3ORCID,Gellerbring Anna5ORCID,Wirta Valtteri567ORCID,Renevey Annick5ORCID,Caceres Eva57ORCID,Tsagkozis Panagiotis8ORCID,Mayrhofer Markus49ORCID,Papakonstantinou Andri110ORCID,Linder-Stragliotto Christina8ORCID,Bränström Robert810ORCID,Larsson Olle1ORCID,Lindberg Johan4ORCID,Lin Yingbo1ORCID,Haglund de Flon Felix13ORCID

Affiliation:

1. 1Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.

2. 2Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.

3. 3Department of Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.

4. 4Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

5. 5Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

6. 6Science for Life Laboratory, School of Chemistry, Biotechnology and Health, Royal Institute of Technology, Stockholm, Sweden.

7. 7Genomic Medicine Center Karolinska, Karolinska University Hospital, Stockholm, Sweden.

8. 8Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.

9. 9National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.

10. 10Department of Breast Cancer, Endocrine Tumors and Sarcoma, Karolinska University Hospital, Stockholm, Sweden.

Abstract

Abstract Purpose: Tumor classification is a key component in personalized cancer care. For soft-tissue and bone tumors, this classification is currently based primarily on morphology assessment and IHC staining. However, these standard-of-care methods can pose challenges for pathologists. We therefore assessed how whole-genome and whole-transcriptome sequencing (WGTS) impacted tumor classification and clinical management when interpreted together with histomorphology. Experimental Design: We prospectively evaluated WGTS in routine diagnostics of 200 soft-tissue and bone tumors suspicious for malignancy, including DNA and RNA isolation from the tumor, and DNA isolation from a peripheral blood sample or any non-tumor tissue. Results: On the basis of specific genomic alterations or absence of presumed findings, WGTS resulted in reclassification of 7% (13/197) of the histopathologic diagnoses. Four cases were downgraded from low-grade sarcomas to benign lesions, and two cases were reclassified as metastatic malignant melanomas. Fusion genes associated with specific tumor entities were found in 30 samples. For malignant soft-tissue and bone tumors, we identified treatment relevant variants in 15% of cases. Germline pathogenic variants associated with a hereditary cancer syndrome were found in 22 participants (11%). Conclusions: WGTS provides an important dimension of data that aids in the classification of soft-tissue and bone tumors, correcting a significant fraction of clinical diagnoses, and identifies molecular targets relevant for precision medicine. However, genetic findings need to be evaluated in their morphopathologic context, just as germline findings need to be evaluated in the context of patient phenotype and family history.

Funder

Cancerfonden

Swedish Society for Medical Research

Swedish sarcoma association

Radiumhemmets Forskningsfonder

Karolinska Institutet

Publisher

American Association for Cancer Research (AACR)

Reference43 articles.

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3. WHO classification of tumours: soft tissue and bone tumours;WHO Classification of Tumours Editorial Board,2020

4. Clinical sequencing of soft tissue and bone sarcomas delineates diverse genomic landscapes and potential therapeutic targets;Nacev;Nat Commun,2022

5. Clinical genomic profiling in the management of patients with soft tissue and bone sarcoma;Gounder;Nat Commun,2022

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