Evidence map›Paper›PMID 40979256›Full record

ArticleRespirology case reports2025

Transformation of Thoracic SMARCA4-Deficient Undifferentiated Tumour to Squamous Cell Carcinoma: A Case Report.

Heng You, Yuanyue Yi, Ran Wang, Jiayu Li, Zhi Xu

Abstract read
In one paragraph

Article in Respirology case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Heng YouDepartment of Respiratory and Critical Care Medicine Second Affiliated Hospital of Third Military Medical University (Army Medical University) Chongqing China.ORCID https://orcid.org/0009-0009-7110-1523
Yuanyue YiDepartment of Pathology Second Affiliated Hospital of Third Military Medical University (Army Medical University) Chongqing China.
Ran WangDepartment of Respiratory and Critical Care Medicine Second Affiliated Hospital of Third Military Medical University (Army Medical University) Chongqing China.
Jiayu LiDepartment of Respiratory and Critical Care Medicine Second Affiliated Hospital of Third Military Medical University (Army Medical University) Chongqing China.
Zhi XuDepartment of Respiratory and Critical Care Medicine Second Affiliated Hospital of Third Military Medical University (Army Medical University) Chongqing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic SMARCA4-deficient undifferentiated tumour (SMARCA4-dUT) is a rare and highly aggressive malignant tumour with poor response to conventional chemotherapy and a poor prognosis, for which there is currently no standard treatment. This article details a case of SMARCA4-dUT in which next-generation sequencing (NGS) revealed a frameshift mutation in SMARCA4 (N259Tfs44), along with high PD-L1 expression (tumour proportion score, TPS 90%) and a high tumour mutational burden (TMB, 24.58 mutations/Mb). The patient achieved a progression-free survival (PFS) of over 32 months following treatment with pembrolizumab combined with conventional chemotherapy. However, the tumour eventually recurred and transformed into SMARCA4-deficient squamous cell carcinoma (SMARCA4-dSCC). To our knowledge, this is the first reported case of histological transformation in SMARCA4-dUT. Immunotherapy may represent a potential treatment option for SMARCA4-dUT, particularly in patients with high TMB and PD-L1 expression.

Indexed as

next‐generation sequencing (NGS)5programmed death‐ligand 1 (PD‐L1)4SMARCA4‐deficient non‐small cell lung cancer (SMARCA4‐dNSCLC)2SMARCA4‐deficient squamous cell carcinoma (SMARCA4‐dSCC)3SMARCA4‐deficient undifferentiated tumour (SMARCA4‐dUT)1

Identifiers

PMID40979256
PMCPMC12446079

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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.