Molecular Pathogenesis and Histological Variability of Dermatofibrosarcoma Protuberans
Bibliographic record
Abstract
Dermatofibrosarcoma protuberans (DFSP) is a kind of infrequent tumor of the soft tissues distinguished by its gradual proliferation and a preference for regional reoccurrence, despite its limited capacity for metastasis. At the molecular level, a significant majority of DFSP cases manifest the t (17;22) (q22; q13) chromosomal translocation, resulting in the fusion of the collagen type I alpha chain (COL1A1) gene and platelet-derived growth factor B chain (PDGFB) gene. This fusion results in PDGFB overexpression, consequently activating the PDGF Receptor-beta (PDGFR-β). The activated PDGFR-β serves as a central nexus for numerous intracellular signaling pathways, initiating cascades including Phosphatidylinositol 3-kinase (PI3K)/Akt, Mitogen-Activated Protein Kinase (MAPK)/extracellular signal-regulated kinase (ERK), and STATs pathways. These cascades collectively enhance DFSP cell growth, proliferation, and invasiveness. Histologically, DFSP tumors are predominantly fibroblastic and display distinct immune cell infiltration patterns in their microenvironment. Elevated expression of CD4+ naïve cells, CD4+ Th2 cells, CD8+ central memory T cells, B cells, and macrophages is evident, while levels of CD4+ central memory T cells and eosinophils are diminished. Immunohistochemical analyses further highlight that most DFSP cells exhibit positive cytoplasmic CD34 expression, whereas factor XIIIa and α-smooth muscle actin are notably absent. Clinically, DFSP presents in diverse subtypes, each characterized by its unique histological profile. Prominent subtypes encompass classic DFSP, fibrosarcomatous DFSP (FS-DFSP), pigmented DFSP, giant cell fibroblastoma, myxoid DFSP, atrophic DFSP, and the granular cell variant. This review aspires to deliver an exhaustive insight into DFSP, accentuating its molecular underpinnings and clinical presentation, with the ultimate goal of advancing our understanding and management of this distinct dermatological entity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.001 | 0.001 |
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".