Evidence map›Paper›PMID 41158364›Full record

ArticleJournal of thoracic disease2025

The potential of

Dong Ou, Jin Nie, Yi Liu, Ling Zhang, Xiaowen Wang, Yongqian Chen, Hongping Wang, Ling Gong, Zhu Li, Fabrizio Marcucci and 1 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 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. Review
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

11 authors.

Dong OuDepartment of Clinical Medicine, Soochow University, Suzhou, China.
Jin NieDepartment of Respiratory Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yi LiuDepartment of Respiratory Medicine, Xi Shui County People's Hospital, Zunyi, China.
Ling ZhangDepartment of Oncology, The Third Affiliated Hospital of Zunyi Medical University (the First People's Hospital of Zunyi), Zunyi, China.
Xiaowen WangDepartment of Oncology, The Third Affiliated Hospital of Zunyi Medical University (the First People's Hospital of Zunyi), Zunyi, China.
Yongqian ChenDepartment of Geriatrics, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Hongping WangGeriatrics Department, Bishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Ling GongDepartment of Oncology, The Third Affiliated Hospital of Zunyi Medical University (the First People's Hospital of Zunyi), Zunyi, China.
Zhu LiDepartment of Oncology, The Third Affiliated Hospital of Zunyi Medical University (the First People's Hospital of Zunyi), Zunyi, China.
Fabrizio MarcucciDepartment of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
Daishun LiuDepartment of Clinical Medicine, Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0002-8889-2909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung squamous cell carcinoma (LUSC) is a highly aggressive malignancy with limited therapeutic options and poor patient prognosis. Emerging evidence suggests that circular RNAs (circRNAs) play critical regulatory roles in cancer progression, but their involvement in LUSC remains largely unexplored. This study aimed to investigate the functional role of circular RNA ITFG2 ( Methods: The expression profile of circRNAs in clinical LUSC samples was analyzed via the Arraystar human circRNA microarray, and the level of Results: Both bioinformatics and experimental analyses revealed that Conclusions: This study identifies

Indexed as

circular RNA (circRNA)ITFG2ITM2ALung squamous cell carcinoma (LUSC)tumor immunity

Identifiers

PMID41158364
PMCPMC12557676

What OpenQuestion holds

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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.