Evidence map›Paper›PMID 39364758›Full record

ArticleMolecular medicine reports2024

Role and clinical value of serum hsa_tsr011468 in lung adenocarcinoma.

Ping Zhao, Kui Zhu, Cuihua Xie, Sinan Liu, Xiang Chen

Abstract read
In one paragraph

Article in Molecular medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ping Zhao *Department of Laboratory Medicine, Nantong First People's Hospital and The Second Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Kui Zhu *Department of Laboratory Medicine, Nantong First People's Hospital and The Second Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Cuihua XieDepartment of Laboratory Medicine, Rugao Hospital of Traditional Chinese Medicine, Nantong, Jiangsu 226001, P.R. China.
Sinan LiuDepartment of Laboratory Medicine, Nantong First People's Hospital and The Second Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Xiang ChenDepartment of Laboratory Medicine, Nantong First People's Hospital and The Second Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfer RNA‑derived small RNAs (tsRNAs) are novel non‑coding RNAs that are associated with the pathogenesis of various diseases. However, their association with lung adenocarcinoma (LUAD) has not been studied comprehensively. Therefore, the present study aimed to explore the diagnostic value of a tsRNA, hsa_tsr011468, in LUAD. The OncotRF database was used to screen tsRNAs and reverse transcription‑quantitative PCR (RT‑qPCR) was performed to detect the expression levels of hsa_tsr011468 in various samples. Subsequently, the diagnostic and prognostic values of hsa_tsr011468 for LUAD were determined via receiver operating characteristic (ROC) curve and survival curve analyses, and by assessing clinicopathological parameters. In addition, both nuclear and cytoplasmic RNA were extracted to assess the location of hsa_tsr011468. The OncotRF database identified high expression of hsa_tsr011468 in LUAD. In addition, the results of RT‑qPCR showed that the relative expression levels of hsa_tsr011468 in the serum and tissues of patients with LUAD were higher than those in normal controls. Furthermore, its expression was lower in postoperative serum samples than in preoperative serum samples from patients with LUAD. ROC and survival curves indicated that hsa_tsr011468 had good diagnostic and prognostic value. Furthermore, the clinicopathological analysis revealed that hsa_tsr011468 was associated with tumor size. In addition, hsa_tsr011468 was mainly localized in the cytoplasm of LUAD cells. The present study indicated that hsa_tsr011468 has good diagnostic value and, therefore, could be employed as a serum marker for LUAD.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsROC CurveAgedFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisRNA, Small UntranslatedRNA, TransferBiomarkers, TumorRNA, Small UntranslatedRNA, Transferbiomarkerdiagnosisdynamic monitoringhsa_tsr011468lung adenocarcinoma

Identifiers

PMID39364758
PMCPMC11485271

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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.