Subtopic Deep Dive
Solitary Fibrous Tumors
Research Guide
What is Solitary Fibrous Tumors?
Solitary fibrous tumors are rare mesenchymal neoplasms characterized by NAB2-STAT6 gene fusions and nuclear STAT6 immunohistochemistry across diverse anatomic sites.
Research defines clinicopathologic features of solitary fibrous tumors (SFTs) with risk stratification based on patient age, tumor size, and mitoses. NAB2-STAT6 fusions were identified by integrative sequencing (Robinson et al., 2013, 796 citations) and whole-exome sequencing (Chmielecki et al., 2013, 585 citations). STAT6 nuclear expression distinguishes SFT from mimics (Doyle et al., 2013, 751 citations). Over 10 papers from 1964-2020 exceed 500 citations each.
Why It Matters
Accurate SFT diagnosis via STAT6 immunohistochemistry improves distinction from histologic mimics, guiding surgical management (Doyle et al., 2013). Clinicopathologic correlates across sites enable risk models for prognosis, as in Gold et al. (2002, 753 citations) analyzing 111 cases. WHO classifications refine diagnostics for therapeutic options (Sbaraglia et al., 2020; Fletcher, 2005). Extrathoracic malignant SFT identification aids aggressive treatment (Vallat-Decouvelaere et al., 1998).
Key Research Challenges
Risk Stratification Accuracy
Models rely on age, size, mitoses but lack molecular integration for precise prognostication. Gold et al. (2002) proposed criteria from 111 cases, yet validation across sites remains limited. Recent WHO updates highlight need for refined systems (Sbaraglia et al., 2020).
Differential Diagnosis
SFT mimics fibrous neoplasms requiring STAT6 confirmation. Doyle et al. (2013) established nuclear STAT6 as specific, but rare variants challenge IHC reliability. Fletcher (2005) notes evolving classifications complicate reproducibility.
Molecular Mechanism Elucidation
NAB2-STAT6 fusions drive SFT, identified by Robinson et al. (2013) and Chmielecki et al. (2013), but downstream effects and targeted therapies underexplored. Few studies link fusions to malignancy beyond extrathoracic cases (Vallat-Decouvelaere et al., 1998).
Essential Papers
The 2020 WHO Classification of Soft Tissue Tumours: news and perspectives
Marta Sbaraglia, Elena Bellan, Angelo Paolo Dei Tos · 2020 · Pathologica · 925 citations
Mesenchymal tumours represent one of the most challenging field of diagnostic pathology and refinement of classification schemes plays a key role in improving the quality of pathologic diagnosis an...
Malignant fibrous xanthomas
Joseph E. O’Brien, Arthur Purdy Stout · 1964 · Cancer · 917 citations
A among pathologists and oncologists that fibrous xanthomas may become malignant, proof of this is so meager that textbooks generally ignore the subject or sometimes state that the fibrous xanthoma...
The evolving classification of soft tissue tumours: an update based on the new WHO classification
Christopher D.�M. Fletcher · 2005 · Histopathology · 911 citations
Tumour classifications have become an integral part of modern oncology and, for pathologists, they provide guidelines which facilitate diagnostic and prognostic reproducibility. In many organ syste...
Identification of recurrent NAB2-STAT6 gene fusions in solitary fibrous tumor by integrative sequencing
Dan R. Robinson, Yi-Mi Wu, Shanker Kalyana‐Sundaram et al. · 2013 · Nature Genetics · 796 citations
Clinicopathologic correlates of solitary fibrous tumors
Jason S. Gold, Cristina R. Antonescu, Cristina Hajdu et al. · 2002 · Cancer · 753 citations
Abstract BACKGROUND Solitary fibrous tumors (SFTs) are rare fibrous neoplasms. Since their initial description as arising from the pleura, SFTs have been reported at a wide range of anatomic sites....
Nuclear expression of STAT6 distinguishes solitary fibrous tumor from histologic mimics
Leona A. Doyle, Marina Vivero, Christopher D.�M. Fletcher et al. · 2013 · Modern Pathology · 751 citations
Solitary fibrous tumors of the pleura: Eight new cases and review of 360 cases in the literature
Michael F. Briselli, Eugene J. Mark, G. Richard Dickersin · 1981 · Cancer · 714 citations
Three-hundred-sixty cases of solitary fibrous tumor of the pleura from the literature are analyzed, and eight new cases are described. Of patients reported on prior to 1972, 72% had symptoms due to...
Reading Guide
Foundational Papers
Start with Gold et al. (2002) for clinicopathologic correlates in 111 cases; Robinson et al. (2013) for NAB2-STAT6 discovery; Doyle et al. (2013) for STAT6 IHC diagnostic utility.
Recent Advances
Sbaraglia et al. (2020) for 2020 WHO classification updates; Chmielecki et al. (2013) confirming fusions via exome sequencing.
Core Methods
NAB2-STAT6 fusion sequencing (integrative/whole-exome); STAT6 nuclear IHC; risk stratification by age, size, mitoses (Gold et al., 2002).
How PapersFlow Helps You Research Solitary Fibrous Tumors
Discover & Search
Research Agent uses searchPapers and citationGraph on 'NAB2-STAT6 solitary fibrous tumor' to map 796-citation Robinson et al. (2013) as hub, revealing Chmielecki et al. (2013) cluster. exaSearch uncovers site-specific cases; findSimilarPapers expands to 50+ related SFT studies from OpenAlex.
Analyze & Verify
Analysis Agent applies readPaperContent to extract risk model stats from Gold et al. (2002), verifies fusion prevalence with verifyResponse (CoVe) against Doyle et al. (2013), and runs PythonAnalysis for mitoses-size correlation plots using pandas on extracted data. GRADE grading scores evidence strength for STAT6 IHC specificity.
Synthesize & Write
Synthesis Agent detects gaps in extrathoracic SFT risk models via contradiction flagging between Vallat-Decouvelaere et al. (1998) and Gold et al. (2002). Writing Agent uses latexEditText, latexSyncCitations for WHO updates (Sbaraglia et al., 2020), and latexCompile for case study reports; exportMermaid diagrams NAB2-STAT6 pathways.
Use Cases
"Analyze survival data from SFT risk models in Gold 2002 and validate with recent cohorts"
Research Agent → searchPapers → Analysis Agent → readPaperContent (Gold et al.) → runPythonAnalysis (pandas survival curves, Kaplan-Meier stats) → GRADE report with p-values and confidence intervals.
"Draft LaTeX review on NAB2-STAT6 fusions in SFT with diagrams"
Synthesis Agent → gap detection → Writing Agent → latexEditText (intro) → latexSyncCitations (Robinson/Chmielecki) → exportMermaid (fusion schematic) → latexCompile → PDF with figures.
"Find code for STAT6 IHC analysis pipelines from SFT papers"
Research Agent → paperExtractUrls (Doyle et al. 2013) → Code Discovery → paperFindGithubRepo → githubRepoInspect → runPythonAnalysis on shared IHC quantification script.
Automated Workflows
Deep Research workflow scans 50+ SFT papers via citationGraph from Fletcher (2005), generating structured report on WHO evolution (Sbaraglia et al., 2020). DeepScan applies 7-step CoVe to verify NAB2-STAT6 fusion claims across Robinson/Chmielecki, with Python checkpoints for sequence data stats. Theorizer hypothesizes STAT6-targeted therapies from IHC-malignancy links.
Frequently Asked Questions
What defines solitary fibrous tumors?
Rare mesenchymal tumors with NAB2-STAT6 fusions and nuclear STAT6 expression, occurring across anatomic sites (Robinson et al., 2013; Doyle et al., 2013).
What are key diagnostic methods for SFT?
STAT6 immunohistochemistry for nuclear expression distinguishes SFT from mimics (Doyle et al., 2013, 751 citations); NAB2-STAT6 fusion detection via sequencing (Robinson et al., 2013).
What are landmark papers on SFT?
Robinson et al. (2013, 796 citations) identified NAB2-STAT6 fusions; Gold et al. (2002, 753 citations) correlated clinicopathologic features; Doyle et al. (2013, 751 citations) validated STAT6 IHC.
What open problems exist in SFT research?
Integrating molecular data into risk models beyond age/size/mitoses; validating malignant criteria for extrathoracic sites; developing STAT6-targeted therapies (Vallat-Decouvelaere et al., 1998).
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Part of the Soft tissue tumor case studies Research Guide