Immunohistochemical Profiles of Dermatofibroma and Dermatofibrosarcoma Protuberans
Bibliographic record
Abstract
This review summarizes the immunohistochemical profiles of dermatofibroma (DF) and dermatofibrosarcoma protuberans (DFSP) as reported by primary literature in the past 10 years. 63 studies were included in the review, with staining information for a total of 99 unique IHC markers reported. The most commonly reported stains were CD34, SMA, S100, and FXIIIa. Most studies applied IHC either to explore descriptive features of DF or DFSP or to determine their utility in diagnostic identification of the lesions. Importantly, summary data of percent positivity for key markers such as CD34 and FXIIIa highlights gaps in the existing diagnostic paradigm using these markers alone. A number of studies applied novel biomarkers that may hold promise for distinguishing DF and DFSP, namely WT1, Cx43, LSP-1, and PHH3, which demonstrated considerable expression differences between the 2 lesions. This review highlights the need for validation of existing and emerging IHC markers for the diagnosis of DF and DFSP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".