Expanding the Use of an SS18-SSX Antibody for Molecular Assays in Synovial Sarcoma
Bibliographic record
Abstract
Synovial sarcoma is an aggressive malignancy that generally affects adolescents and young adults and is characterized by high rates of recurrence and metastasis, with a 10-year survival rate of about 50%. The fusion oncoprotein SS18-SSX, the product of a pathognomonic chromosomal translocation t(X;18), is the oncogenic driver of this sarcoma, disrupting differentiation through widespread epigenetic dysregulation. Experimental research into SS18-SSX biology has been limited by the lack of an antibody that specifically detects the endogenous fusion oncoprotein as opposed to its native SS18 or SSX components. Recently, a rabbit monoclonal antibody was developed and made commercially available, which specifically detects the fusion junction site epitope of SS18-SSX as found in at least 95% of synovial sarcomas. Here, we characterize a suite of molecular biology assays using this new antibody, both confirming existing and reporting on novel applications. We demonstrate its high sensitivity and specificity for synovial sarcoma diagnosis on patient samples through positive immunohistochemical staining on synovial sarcoma, tissue microarray, and full face sections. In addition, we demonstrate detection of the human SS18-SSX protein when expressed in a genetically engineered mouse model of synovial sarcoma. We also demonstrate nuclear staining of SS18-SSX in synovial sarcoma cells using immunofluorescence, and visualize the interaction between SS18-SSX and the BAF complex member BRG1 through a proximity ligation assay. Lastly, we confirm the interaction between SS18-SSX and promoter regions of target genes through chromatin immunoprecipitation. This antibody represents a breakthrough in sarcoma research and has value in multiple applications to expand the knowledge of synovial sarcoma biology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".