Evidence map›Paper›PMID 38980474›Full record

ArticleDiscover oncology2024

Analysis of tumor abnormal protein expression and epidermal growth factor receptor mutation status in non-small cell lung cancer.

Yuanjun Cheng, Bin Chen, Qianru Fang, Guohui Zang, Jie Yao

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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

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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

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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. The predictive value ofFrontiers in medicine · 2026
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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.

Yuanjun Cheng *Department of Cardiothoracic Surgery, People's Hospital of Chizhou, No. 3 Baiya Road, Guichi District, Chizhou, 247000, China.
Bin Chen *Department of Cardiothoracic Surgery, People's Hospital of Chizhou, No. 3 Baiya Road, Guichi District, Chizhou, 247000, China.
Qianru FangDepartment of Obstetrics, People's Hospital of Chizhou, Chizhou, 247000, China.
Guohui ZangDepartment of Cardiothoracic Surgery, People's Hospital of Chizhou, No. 3 Baiya Road, Guichi District, Chizhou, 247000, China.
Jie YaoDepartment of Cardiothoracic Surgery, People's Hospital of Chizhou, No. 3 Baiya Road, Guichi District, Chizhou, 247000, China. yaojieyj88@21cn.com.

Funding

Beijing Science and Technology Innovation Medical Development Foundation KC2021-JX-0186-46Health Research Project of Anhui Province AHWJ2022a032Key Technologies Research and Development Program of Anhui Province 202104j07020055
6 · The paper itself

Abstract

backgroundThe level of tumor abnormal protein (TAP) level has a significant impact on tumor growth, recurrence, and metastasis. Previous studies have highlighted the influence of the mutations in exons 19 and 21 of the epidermal growth factor receptor (EGFR), particularly the sensitivity displayed by tumor cells to epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) therapy. Our study is centered on exploring the clinical relevance of TAP and EGFR mutations in patients with non-small cell lung cancer (NSCLC). MATERIAL AND

methodsIn this study, tissue samples were collected from a total of 176 patients diagnosed with non-small cell lung cancer (NSCLC). Real-time PCR technology was utilized to detect mutations within exons 19 and 21 of the epidermal growth factor receptor (EGFR) gene in these samples. This approach enables precise identification of EGFR mutations associated with NSCLC. Furthermore, the study investigated the impact of various tumor markers, including tumor abnormal protein (TAP) and carcinoembryonic antigen (CEA), on EGFR mutation status. Established assays were employed to evaluate TAP and CEA levels, aiming to ascertain their potential correlation with EGFR mutation in NSCLC patients.

resultsEGFR exhibited mutation rates of 23.86% and 12.50% in exons 19 and 21, respectively. EGFR mutations were more prevalent in younger women (< 60 years old) and in cases with pleural invasion, vessel invasion, CEA > 6.5 ng/mL, and TAP > 228 µm

conclusionsTAP effectively predicts EGFR mutations in NSCLC patients with moderate accuracy, particularly benefiting diagnosis in females with high sensitivity and specificity. Integrating TAP assessment into EGFR mutation testing can significantly enhance diagnostic precision, especially in female NSCLC cases.

Indexed as

EGFR mutationEGFR-TKILung cancerPrognosisTAP

Identifiers

PMID38980474
PMCPMC11233477

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