Molecular and Clinical Studies of Bone and Soft Tissue Tumors

September 10, 2026 updated by: Felix Haglund de Flon, Karolinska Institutet

Molekylära Och Kliniska Studier av Ben Och mjukdelstumörer

The goal of this observational study is to learn whether tumors of bone and soft tissue can be sorted into groups by their genes. Today these tumors are named mainly by how they look under a microscope. There are more than 150 names in use. The same tumor can be given different names by different doctors.

The study includes people of any age with a bone or soft tissue tumor. All of them had tissue sampled at Karolinska University Hospital in Stockholm, Sweden.

The main questions it aims to answer are:

Can tests of a tumor's genes sort these tumors into clearer groups than the names used today? How often does a tumor's gene group differ from the name it was given at diagnosis? Can a computer program tell these groups apart from scanned pictures of the tissue?

Researchers will compare the groups found by the gene tests with the diagnoses given at the time. They will also look at how each group did over the years that followed. This shows which way of sorting tumors better matches what happened to participants.

Participants will not have extra visits, tests, or treatment for this study. The study does not change anyone's care.

Researchers will:

Use tumor tissue that was already taken as part of regular care Read the DNA and RNA in the tumor, which carry its genetic instructions Read the chemical marks on the tumor's DNA that switch genes on and off Scan the glass slides of the tissue into digital pictures Collect facts about treatment and health from medical records

Participants who are newly diagnosed will also be asked for a blood sample. Blood shows which gene changes a person was born with and which ones started in the tumor.

If the study finds a gene change that matters for a participant's care, the study team tells the treating doctors through normal hospital routines.

Study Overview

Status

Recruiting

Study Type

Observational

Enrollment (Estimated)

50000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Felix Haglund de Flon, MD PhD, Associate Professor
  • Phone Number: +46-8-524 800 00
  • Email: felix.haglund@ki.se

Study Locations

      • Stockholm, Sweden, 17176
        • Recruiting
        • Karolinska University Hospital
        • Contact:
          • Felix Haglund de Flon, MD PhD, Associate Professor
          • Phone Number: 08-524 800 00
          • Email: felix.haglund@ki.se

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

People of any age with a tumor or tumor-like lesion of bone or soft tissue, benign, intermediate or malignant, diagnosed or reviewed at the Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden. The retrospective cohort is identified from the pathology archive by a predefined SNOMED-based search covering bone and soft tissue tumor codes, with an addendum capturing non- mesenchymal tumors that enter the differential diagnosis, such as melanoma, sarcomatoid carcinoma and lymphoma. The prospective cohort comprises people evaluated at the center during the study period. The center is a national referral center for sarcoma, so the population includes both locally diagnosed and referred cases.

Description

Inclusion Criteria:

  • Histopathologically diagnosed tumor or tumor-like lesion of bone or soft tissue, including benign, intermediate and malignant lesions
  • Tissue sampled, resected or reviewed at the study center
  • Archived diagnostic material available and adequate for the analyses of the relevant cohort: formalin-fixed paraffin-embedded tissue, fresh-frozen tissue, or diagnostic glass slides
  • For the prospective cohort, documented informed consent

Exclusion Criteria:

  • No retrievable diagnostic material or diagnostic report
  • Documented objection by the participant to the research use of their material or data

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Group/Cohort 1 - Retrospective archival cohort

People of any age with a bone or soft tissue tumor sampled or resected at the study center before the start of the study, identified from the pathology archive using a predefined SNOMED-based search. Diagnostic glass slides are scanned for the full archival cohort. A nested subset with tissue of sufficient quality also undergoes whole genome sequencing, RNA sequencing and DNA methylation profiling. Clinical and outcome data are taken from pathology reports and medical records. No study procedure is performed on participants.

Assigned Interventions:

Diagnostic Test: Digital pathology and computational image analysis Genetic: Whole genome and whole transcriptome sequencing (nested subset) Genetic: Genome-wide DNA methylation profiling (nested subset)

Group/Cohort 2 - Prospective cohort

People of any age newly diagnosed with, or referred for evaluation of, a bone or soft tissue tumor at the study center during the study period, who consent to the use of their tissue and data. Diagnostic tissue undergoes whole genome and transcriptome sequencing with a matched germline reference sample, DNA methylation profiling and slide digitization. Diagnosis and treatment follow routine practice and are not altered by the study.

Assigned Interventions:

Diagnostic Test: Digital pathology and computational image analysis Genetic: Whole genome and whole transcriptome sequencing Genetic: Genome-wide DNA methylation profiling

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Discordance between molecularly defined class and the original histopathological diagnosis
Time Frame: Through completion of the primary analysis of the molecular cohort, up to [5] years after study start.
Proportion of tumors in the molecularly profiled cohort whose class assignment from integrated genomic, transcriptomic and methylation data, made without reference to the diagnostic label, differs from the WHO-based diagnosis in the original pathology report. Reported with a 95 percent confidence interval and accompanied by the adjusted Rand index for the full cross-classification. Only assignments above a pre-specified confidence threshold are counted as discordant; low-confidence assignments are reported separately. Discordant cases undergo blinded review by two sarcoma pathologists to separate reclassification from diagnostic error.
Through completion of the primary analysis of the molecular cohort, up to [5] years after study start.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of stable molecular classes identified
Time Frame: Through completion of the primary analysis, up to [5] years.
Number of classes recovered by consensus clustering of the integrated data that meet pre-specified stability criteria, reported with the stability metrics used (consensus matrix concordance, proportion of ambiguous clustering, cophenetic correlation) across the tested range of cluster numbers.
Through completion of the primary analysis, up to [5] years.
Proportion of tumors in residual diagnostic categories that receive a defined molecular class
Time Frame: Through completion of the primary analysis, up to [5] years.
Among tumors originally reported as undifferentiated pleomorphic sarcoma, spindle cell sarcoma not otherwise specified, or an equivalent unclassified bone lesion, the proportion assigned above the confidence threshold to a molecular class that has a defined biological identity.
Through completion of the primary analysis, up to [5] years.
Accuracy of molecular class prediction from digitized slides
Time Frame: Through completion of model development and evaluation, up to [5] years.
Performance of machine learning models predicting molecular class membership from whole slide images, evaluated in held-out data split at the level of individual participants. Reported as balanced accuracy and macro-averaged area under the receiver operating characteristic curve, with 95 percent confidence intervals, plus per-class sensitivity and specificity.
Through completion of model development and evaluation, up to [5] years.
Frequency of clinically actionable somatic alterations
Time Frame: Through completion of the primary analysis, up to [5] years.
Proportion of tumors carrying at least one somatic alteration classified as clinically actionable according to a pre-specified evidence framework, reported by molecular class and by original WHO diagnosis.
Through completion of the primary analysis, up to [5] years.
Frequency of pathogenic germline variants in cancer predisposition genes
Time Frame: Through completion of the primary analysis, up to [5] years.
Proportion of participants with a matched germline sample carrying a pathogenic or likely pathogenic variant in a pre-specified panel of cancer predisposition genes, classified according to current guidelines.
Through completion of the primary analysis, up to [5] years.
Overall survival by molecular class
Time Frame: From date of diagnosis to death from any cause, assessed up to [30] years.
Time from date of diagnosis to death from any cause, with participants alive at last contact censored at that date. Estimated by the Kaplan-Meier method for each molecular class with a sufficient number of participants, and reported with the number of participants per class.
From date of diagnosis to death from any cause, assessed up to [30] years.
Prognostic information added by molecular class beyond current diagnosis and grade
Time Frame: From date of diagnosis to death from any cause, assessed up to [30] years.
Comparison of Cox proportional hazards models for overall survival that include molecular class against models that include the original diagnosis and grade, using the concordance index and likelihood-based comparison, adjusted for age, anatomical site, tumor size and treatment.
From date of diagnosis to death from any cause, assessed up to [30] years.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2026

Primary Completion (Estimated)

March 1, 2046

Study Completion (Estimated)

March 1, 2046

Study Registration Dates

First Submitted

September 10, 2026

First Submitted That Met QC Criteria

September 10, 2026

First Posted (Actual)

September 16, 2026

Study Record Updates

Last Update Posted (Actual)

September 16, 2026

Last Update Submitted That Met QC Criteria

September 10, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 2025-06780-01
  • 2025 (U.S. NIH Grant/Contract: Faculty of Social Sciences Scientific Grant at the University of Gdańsk)
  • 2025-03129 (Other Grant/Funding Number: Vetenskapsrådet)
  • 25 4631 (Other Grant/Funding Number: Cancerfonden)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

Individual participant data will not be shared publicly. The data are whole genome sequences, transcriptomes, methylation profiles and whole slide images derived from clinical material, which are personal data under the General Data Protection Regulation and are not de-identifiable to a standard that permits open release. The ethics approval (Etikprövningsmyndigheten dnr 2025-06780-01) does not cover open publication of individual participant data. Derived and aggregated data supporting the published results, including class assignments, summary variant tables and model performance data, will be published with the primary reports. Requests for access to pseudonymized individual-level data for scientific purposes will be considered by the study's principal investigator and the responsible organizations, and may be granted where the request is compatible with the ethics approval and applicable law, and where a data transfer or processing agreement is in place. Analytic code developed in

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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