Evidence map›Paper›PMID 36284435›Full record

ArticleJournal of clinical laboratory analysis2022

Plasma SNORD42B and SNORD111 as potential biomarkers for early diagnosis of non-small cell lung cancer.

Kangyu Wang, Xingguo Song, Shiwen Wang, Xinyi Li, Zhijun Zhang, Li Xie, Xianrang Song

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 6 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

7 authors at 2 institutions in 1 country.

Kangyu WangDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xingguo SongDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Shiwen WangDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xinyi LiDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Zhijun ZhangDepartment of Clinical Laboratory, Taian City Central Hospital, Taian, China.ORCID https://orcid.org/0000-0002-4842-2419
Li XieDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.ORCID https://orcid.org/0000-0003-4715-136X
Xianrang SongDepartment of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.ORCID https://orcid.org/0000-0003-1722-8207
Shandong Tumor Hospital · CNTaian City Central Hospital · CN

Funding

Jinan Clinical Medical Science and Technology Innovation Program 202019054National Natural Science Foundation of China 81972014Shandong Provincial Key Research and Development Program (Major Science & Technology Innovation Project) 2021SFGC0501Shandong Provincial Medicine and Health Science Technology Development Program 2019WS198
6 · The paper itself

Abstract

backgroundNon-small-cell lung cancer (NSCLC) still occupied the leading reason of cancer death due to lack of availability of early detection. This study aimed to identify the effective biomarkers for the early-stage NSCLC diagnostics based on plasma snoRNAs. MATERIALS AND

methodsThe differential snoRNAs between lung cancer patients and healthy donors were analyzed using the SNORic and TCGA databases. SNORD42B and SNORD111 were screened out and further verified in 48 FFPE NSCLC and adjacent normal tissues, as well as in plasma from 165 NSCLC patients and 118 health donors using qRT-PCR. Next, their diagnostic efficiency, as well as combined with carcinoembryonic antigen (CEA), was obtained by the analysis of receiver operating characteristic (ROC).

resultsWe first screened out 47 top differential snoRNAs, among which the top 10 upregulated snoRNAs in LUAD were U44, U75, U78, U77, SNORD72, SNORD13, SNORD12B, SCARNA5, U80, SNORD41, and in LUSC were U44, U75, U78, SNORD41, SNORD111, SNORA56, U17a, SNORD35A, SNORD32A, SNORA71D. SNORD42B and SNORD111 was significantly increased not only in tumor tissues but also in plasma from NSCLC and early-stage NSCLC patients. They were capable to act as promising biomarkers for NSCLC and early-stage NSCLC diagnosis. Moreover, CEA diagnostic efficiency for early-stage NSCLC was significantly improved when combined with these two plasma snoRNAs.

conclusionSNORD42B and SNORD111 could act as the potential and non-invasive diagnostic biomarkers for NSCLC and early-stage NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorCarcinoembryonic AntigenEarly Detection of CancerHumansRNA, Small NuclearBiomarkers, TumorCarcinoembryonic AntigenRNA, Small NuclearbiomarkerdiagnosisNSCLCSNORD111SNORD42BSnoRNAs

Identifiers

PMID36284435
PMCPMC9701848
OpenAlexW4307338514

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.