Evidence map›Paper›PMID 40859272›Full record

ArticleDiagnostic pathology2025

Alveolar solitary fibrous tumor: an uncommon morphological form.

Lin Song, Dong-Liang Lin, Zhao-Fen Zhang, Zhou Wang, Yuan-Yuan Zong

Abstract readCase Reports
In one paragraph

Article in Diagnostic pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lin SongDepartment of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 JingWu Road, Jinan, 250021, Shandong, China.
Dong-Liang LinDepartment of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Zhao-Fen ZhangDepartment of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 JingWu Road, Jinan, 250021, Shandong, China.
Zhou WangDepartment of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 JingWu Road, Jinan, 250021, Shandong, China.
Yuan-Yuan ZongDepartment of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 JingWu Road, Jinan, 250021, Shandong, China. zong-yy@qq.com.

Funding

National Natural Science Foundation of China 82303421Natural Science Foundation of Shandong Province ZR2023QH031
6 · The paper itself

Abstract

Solitary fibrous tumor (SFT) is a fibroblastic tumor characterized by a prominent staghorn vasculature and collagen deposition. However, little is known about SFTs with alveolar structures. Herein, we present a case of an alveolar pattern SFT in a 55-year-old woman. The tumor was present in the lumbosacral spinal canal and showed an alveolar architecture composed of ovoid to spindle-shaped cells. Immunohistochemical examination showed that the tumor cells were positive for STAT6 (nuclear expression), CD34, CD99, and Bcl-2, but negative for cytokeratins (CK-pan and AE1/AE3), EMA, GFAP, CD31, progesterone receptor, S-100 protein, and smooth muscle actin. Furthermore, NAB2::STAT6 fusion was detected using DNA-based next-generation sequencing, which established the diagnosis of SFT at a molecular level. The present case expands the morphological categories of SFT.

Indexed as

Solitary Fibrous TumorsBiomarkers, TumorFemaleHumansImmunohistochemistryMiddle AgedRepressor ProteinsSTAT6 Transcription FactorBiomarkers, TumorNAB2 protein, humanRepressor ProteinsSTAT6 protein, humanSTAT6 Transcription FactorAlveolar architectureNAB2:: STAT6Next-generation sequencingSolitary fibrous tumor (SFT)

Identifiers

PMID40859272
PMCPMC12379501

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.