Evidence map›Paper›PMID 36249068›Full record

ArticleFrontiers in oncology2022

Serum-derived piR-hsa-164586 of extracellular vesicles as a novel biomarker for early diagnosis of non-small cell lung cancer.

Yanli Li, Yanhan Dong, Shupeng Zhao, Jinning Gao, Xiaodan Hao, Zibo Wang, Meng Li, Mengyuan Wang, Yiming Liu, Xiaoling Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

11 authors at 1 institution in 1 country.

Yanli LiDepartment of Pathology and Pathophysiology, The Medical Faculty of Qingdao University, Qingdao, China.
Yanhan DongInstitute of Translational Medicine, Qingdao University, Qingdao, China.
Shupeng ZhaoAsset and Laboratory Management Office, Qingdao University, Qingdao, China.
Jinning GaoInstitute of Translational Medicine, Qingdao University, Qingdao, China.
Xiaodan HaoInstitute of Translational Medicine, Qingdao University, Qingdao, China.
Zibo WangDepartment of Inspection, The Medical Faculty of Qingdao University, Qingdao, China.
Meng LiDepartment of Inspection, The Medical Faculty of Qingdao University, Qingdao, China.
Mengyuan WangDepartment of Inspection, The Medical Faculty of Qingdao University, Qingdao, China.
Yiming LiuDepartment of Inspection, The Medical Faculty of Qingdao University, Qingdao, China.
Xiaoling YuDepartment of Pathology and Pathophysiology, The Medical Faculty of Qingdao University, Qingdao, China.
Wenhua XuDepartment of Inspection, The Medical Faculty of Qingdao University, Qingdao, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is a major cause of death in those with malignant tumors. To achieve the early diagnosis of NSCLC, we investigated serum-derived Piwi-interacting RNA (piRNA) of extracellular vesicles to filter diagnostic biomarkers for NSCLC. High-throughput sequencing from cancerous tissues and adjacent noncancerous tissues in patients with NSCLC was first applied to recognize candidate piRNAs as diagnostic biomarkers. These screened piRNAs were further validated in 115 patients (including 95 cases in stage I) and 47 healthy individuals using quantitative real-time PCR (qRT-PCR). We showed that piR-hsa-164586 was significantly upregulated compared with paracancerous tissues and extracellular vesicles from the serum samples of healthy individuals. Moreover, the area under the curve (AUC) value of piR-hsa-164586 was 0.623 and 0.624 to distinguish patients with all stages or stage I of NSCLC, respectively, from healthy individuals. The diagnostic performance of piR-hsa-164586 was greatly improved compared with the cytokeratin-19-fragment (CYFRA21-1). Additionally, piR-hs-164586 was associated with the clinical characteristics of patients with NSCLC. Its expression was associated with the age and TNM stage of patients with NSCLC, indicating that it can serve as an effective and promising biomarker for the early diagnosis of NSCLC.

Indexed as

cancerearly diagnosisextracellular vesiclesliquid biopsynon-small cell lung cancerpiRNAserum

Identifiers

PMID36249068
PMCPMC9559724
OpenAlexW4298006197

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.