Dataset Information

Does CSF1 overexpression or rearrangement influence biological behaviour in tenosynovial giant cell tumours of the knee?

ABSTRACT: AIMS:Localised- and diffuse-type tenosynovial giant cell tumours (TGCT) are regarded as different clinical and radiological TGCT types. However, genetically and histopathologically they seem indistinguishable. We aimed to correlate CSF1 expression and CSF1 rearrangement with the biological behaviour of different TGCT-types with clinical outcome (recurrence). METHODS AND RESULTS:Along a continuum of extremes, therapy-naive knee TGCT patients with >3-year follow-up, mean age 43 (range = 6-71) years and 56% females were selected. Nine localised (two recurrences), 16 diffuse-type (nine recurrences) and four synovitis as control were included. Rearrangement of the CSF1 locus was evaluated with split-apart fluorescence in-situ hybridisation (FISH) probes. Regions were selected to score after identifying CSF1-expressing regions, using mRNA ISH with the help of digital correlative microscopy. CSF1 rearrangement was considered positive in samples containing >2 split signals/100 nuclei. Irrespective of TGCT-subtype, all cases showed CSF1 expression and in 76% CSF1 rearrangement was detected. Quantification of CSF1-expressing cells was not informative, due to the extensive intratumour heterogeneity. Of the four synovitis cases, two also showed CSF1 expression without CSF1 rearrangement. No correlation between CSF1 expression or rearrangement with clinical subtype and local recurrence was detected. Both localised and diffuse TGCT cases showed a scattered distribution in the tissue of CSF1-expressing cells. CONCLUSION:In diagnosing TGCT, CSF1 mRNA-ISH, in combination with CSF1 split-apart FISH using digital correlative microscopy, is an auxiliary diagnostic tool to identify rarely occurring neoplastic cells. This combined approach allowed us to detect CSF1 rearrangement in 76% of the TGCT cases. Neither CSF1 expression nor presence of CSF1 rearrangement could be associated with the difference in biological behaviour of TGCT.

SUBMITTER: Mastboom MJL

PROVIDER: S-EPMC7379608 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Does CSF1 overexpression or rearrangement influence biological behaviour in tenosynovial giant cell tumours of the knee?

Mastboom Monique J L MJL Hoek Daisy M DM Bovée Judith V M G JVMG van de Sande Michiel A J MAJ Szuhai Károly K

Histopathology 20181111 2

<h4>Aims</h4>Localised- and diffuse-type tenosynovial giant cell tumours (TGCT) are regarded as different clinical and radiological TGCT types. However, genetically and histopathologically they seem indistinguishable. We aimed to correlate CSF1 expression and CSF1 rearrangement with the biological behaviour of different TGCT-types with clinical outcome (recurrence).<h4>Methods and results</h4>Along a continuum of extremes, therapy-naive knee TGCT patients with >3-year follow-up, mean age 43 (ran ...[more]

PMID: 30152874

Similar Datasets

Project description:PurposeTenosynovial giant cell tumor (TGCT), a rare locally aggressive neoplasm of the synovium of joints and tendon sheaths, is associated with joint destruction, inflammation, pain, and swelling, in part due to colony-stimulating factor 1 receptor-bearing macrophages recruited to the tumor by genetic elevation of colony-stimulating factor 1 activity. The most common treatment is surgery, although promising pharmacologic treatments are in development. Patient-reported outcome (PRO) instruments are critical end points in demonstrating the clinical relevance of standard oncologic outcome measures and the overall impact of novel pharmacologic therapies in nonmalignant neoplastic conditions such as TGCT. The content validity of PROs relevant to patients with TGCT has not been formally investigated, and instruments to evaluate such outcomes do not exist for this condition.MethodsPRO instruments of potential relevance were evaluated by using a literature review and by clinical and PRO experts. Patients with TGCT were recruited through clinical sites and the Internet for participation in qualitative research interviews to identify predominant symptoms and to test the relevance and content validity of several PRO measures. Select PRO measures were included in a Phase I clinical trial, and preliminary results of the PRO end points are reported descriptively.FindingsOf the 22 subjects who participated in qualitative interviews, 73% were female, and their mean age was 42.5 years (range, 27-56 years). The TGCTs (19 diffuse and 3 localized) were located in the knee (n = 15), hip (n = 3), ankle (n = 2), elbow (n = 1), and forearm (n = 1). The most common symptoms cited were pain (82%), swelling (86%), stiffness (73%), reduced range of motion (64%), and joint instability (64%), which were consistent with clinical expert input and with the content of instruments chosen by PRO experts. The worst pain numeric rating scale, Patient Reported Outcomes Measurement Information System physical functioning items, and the Western Ontario and McMaster Universities Osteoarthritis Index, as well as a worst stiffness numeric rating scale developed for TGCT, were confirmed as meaningful measures of TGCT patient symptoms and were well understood in qualitative interviews. Results from the Phase I trial showed trends of improvement in both pain and stiffness over time.ImplicationsThis study is the first to gather information directly from patients with TGCT regarding their symptom experiences. Pain, stiffness, and physical functioning are important treatment outcomes in patients with TGCT. We have identified content-valid PRO measures of these concepts, which are included in an ongoing Phase III TGCT clinical trial with pexidartinib (PLX3397) (NCT02371369).

Dataset Information

Does CSF1 overexpression or rearrangement influence biological behaviour in tenosynovial giant cell tumours of the knee?

Publications

Does CSF1 overexpression or rearrangement influence biological behaviour in tenosynovial giant cell tumours of the knee?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets