Efficacy and safety of rigosertib in patients with recessive dystrophic epidermolysis bullosa-associated advanced/metastatic cutaneous squamous cell carcinoma
Bibliographic record
Abstract
BACKGROUND: Recessive dystrophic epidermolysis bullosa (RDEB) is an epithelial fragility disease primarily affecting the skin and is caused by variants in the COL7A1 gene. Individuals with RDEB are predisposed to develop highly aggressive cutaneous squamous cell carcinomas (SCCs) which are the most common cause of premature death. There is a lack of effective prevention or treatment options for patients with RDEB-SCC. OBJECTIVES: To evaluate the antitumour activity and safety of the polo-like kinase-1 (PLK1) inhibitor, rigosertib, two investigator-initiated open-label, single-arm phase II studies were opened in Europe and the USA and enrolled five patients with RDEB diagnosed with locally advanced and/or metastatic SCCs whose disease had not previously responded successfully to standard care. METHODS: Using a common protocol, patients were offered either oral or intravenous (IV) administration of rigosertib with consultation from the treating physician. Patients were monitored with clinical photography, biopsy, positron emission tomography/computed tomography scans and quality of life (QoL) questionnaires over the 12-month duration of the trial. The pharmacokinetics of drug absorption was monitored in four patients. RESULTS: Antitumour efficacy with acceptable toxicity was seen in patients on IV or oral therapy and two patients had a complete response within 6 months of treatment. Their QoL was not negatively impacted by treatment and drug absorption exceeded that seen in previous patient populations presumably due to the relatively high dosing in a cohort of underweight patients. CONCLUSIONS: These data identify rigosertib as a promising drug therapy for patients with RDEB-SCC where there is a substantial unmet need, absence of approved therapies and where tumours arise on a background of a unique fibrotic and inflammatory environment -characterized by germline mutations in COL7A1 that promote the development of homogenous primary tumours with aberrant PLK1 -activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".