Evidence map›Paper›PMID 42724734›Full record

ArticleJournal of thoracic disease2026

Diagnostic accuracy of combined TCF-21 protein expression and computed tomography morphological features for predicting microvascular invasion in early-stage non-small cell lung cancer.

Qiaoye Lv, Dongying Lv, Qingbin Qi, Dingling Yuan, Xiaomin Wang, Haibo Li, Jingli Qi, Guiting Liu, Yongjun Li, Linlin Lv and 1 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

11 authors.

Qiaoye Lv *Department of Medical Imaging II, Affiliated Hospital of Hebei University of Engineering, Handan, China.ORCID https://orcid.org/0009-0000-1928-5171
Dongying Lv *Physical Examination Center, Outpatient Department, the 81st Group Army Hospital of the People's Liberation Army Ground Force of China, Zhangjiakou, China.
Qingbin QiDepartment of Thoracic Surgery, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Dingling YuanDepartment of Medical Imaging I, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Xiaomin WangDepartment of Medical Imaging II, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Haibo LiDepartment of Medical Imaging II, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Jingli QiDepartment of Medical Imaging II, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Guiting LiuDepartment of Medical Imaging II, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Yongjun LiDepartment of Medical Imaging I, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Linlin LvDepartment of Medical Imaging I, Affiliated Hospital of Hebei University of Engineering, Handan, China.
Yinggang LvDepartment of Medical Imaging II, Affiliated Hospital of Hebei University of Engineering, Handan, China.ORCID https://orcid.org/0009-0001-9584-1755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative identification of microvascular invasion (MVI) in clinically early-stage non-small cell lung cancer (NSCLC) remains difficult because microscopic vascular spread cannot be reliably inferred from tumor size or nonspecific computed tomography (CT) features alone. This diagnostic accuracy study aimed to evaluate whether biopsy-derived transcription factor 21 (TCF-21) protein expression combined with a rigorously defined CT vessel convergence sign could predict pathological MVI. Methods: A retrospective diagnostic accuracy cohort of 50 patients with pathologically confirmed stage I NSCLC who underwent curative-intent surgical resection at the Affiliated Hospital of Hebei University of Engineering between March 2023 and August 2023 was enrolled. Patients were categorized into MVI-positive (n=15) and MVI-negative (n=35) groups according to the postoperative pathological reference standard. Preoperative chest CT scans and TCF-21 protein expression levels quantified by Western blot from preoperative biopsy specimens were evaluated. CT morphological features included tumor size, spiculation, lobulation, and vessel convergence sign, which was strictly defined to exclude volume-loss atelectasis or mechanical vascular displacement. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to develop and evaluate the exploratory prediction model. Results: The cohort predominantly consisted of men (62.0%), and the mean age was 55.9 years. TCF-21 protein expression was significantly lower in the MVI-positive group than in the MVI-negative group (0.42±0.11 Conclusions: Decreased TCF-21 protein expression and CT vessel convergence were associated with pathological MVI in early-stage NSCLC. These preliminary findings suggest that an integrated molecular-radiological approach may support preoperative risk stratification after validation in larger external cohorts.

Indexed as

computed tomography (CT)early-stage non-small cell lung cancer (early-stage NSCLC)microvascular invasion (MVI)predictive modelTranscription factor 21 (TCF-21)

Identifiers

PMID42724734
PMCPMC13559408

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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.