Evidence map›Paper›PMID 35115004›Full record

ArticleCancer cell international2022

Plasma tRNA-derived small RNAs signature as a predictive and prognostic biomarker in lung adenocarcinoma.

Jun Wang, Xianyu Liu, Weifang Cui, Qun Xie, Wei Peng, Heng Zhang, Yang Gao, Chunfang Zhang, Chaojun Duan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 7% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Jun WangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Xianyu LiuDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Weifang CuiDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Qun XieDepartment of Ultrasonic Imaging, Affiliated Hospital of Hunan Traditional Chinese Medicine Research Institute, Changsha, 410006, Hunan, People's Republic of China.
Wei PengDepartment of Oncology, Hunan Provincial People's Hospital, the First Affiliated Hospital of Hunan Normal University, Changsha, 410006, Hunan, People's Republic of China.
Heng ZhangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Yang GaoDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Chunfang ZhangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Chaojun DuanDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. duancjxy@csu.edu.cn.ORCID http://orcid.org/0000-0001-5349-7725
Central South University · CNHunan Academy of Traditional Chinese Medicine · CNHunan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of lung adenocarcinoma (LUAD) has increased, thus novel biomarkers for its early diagnosis is becoming more important than ever. tRNA-derived small RNA (tsRNA) is a new class of non-coding RNA which has important regulatory roles in cancer biology. This study was designed to identify novel predictive and prognostic tsRNA biomarkers.

methodstsRNAs were identified and performed differential expression analysis from 10 plasma samples (6 LUAD and 4 normal, SRP266333) and 96 tissue samples (48 LUAD and 48 normal, SRP133217). Then a tsRNA-mRNA regulatory network was constructed to find hub tsRNAs. Functional enrichment analysis was performed to infer the potential pathways associated with tsRNAs. Afterwards, a Support Vector Machine (SVM) algorithm was used to explore the potential biomarkers for diagnosing LUAD. Lastly, the function of tRF-21-RK9P4P9L0 was explored in A549 and H1299 cell lines.

resultsA significant difference of read distribution was observed between normal people and LUAD patients whether in plasma or tissue. A tsRNA-mRNA regulatory network consisting of 155 DEtsRNAs (differential expression tsRNAs) and 406 DEmRNAs (differential expression mRNAs) was established. Three tsRNAs (tRF-16-L85J3KE, tRF-21-RK9P4P9L0 and tRF-16-PSQP4PE) were identified as hub genes with degree > 100. We found Co-DEmRNAs (intersection of DEtsRNAs target mRNAs and differentially expressed mRNAs in LUAD) were engaged in a number of cancer pathways. The AUC of the three hub tsRNAs' expression for diagnosing LUAD reached 0.92. Furthermore, the qPCR validation of the three hub tsRNAs in 37 paired normal and LUAD tissues was consistent with the RNA-Seq results. In addition, tRF-21-RK9P4P9L0 was negatively associated with LUAD prognosis. Inhibition of tRF-21-RK9P4P9L0 expression reduced the proliferation, migration and invasion ability of A549 and H1299 cell lines.

conclusionThese findings will help us further understand the molecular mechanisms of LUAD and contribute to novel diagnostic biomarkers and therapeutic target discovery.

Indexed as

Diagnostic biomarkerLung adenocarcinomaNetworktRFstsRNAs

Identifiers

PMID35115004
PMCPMC8812260
OpenAlexW4210708253

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.