Evidence map›Paper›PMID 40937389›Full record

ArticleIndian journal of clinical biochemistry : IJCB2025

Advancing NSCLC Diagnosis: The Role of Tumor-Derived Serum Exosomal SNORD60 as a Novel Biomarker.

Lin Li, Kangyu Wang, Ning Yuan, Qun Zhang, Xinmei Liang, Zhijun Zhang

Abstract read
In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

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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

6 authors.

Lin Li *Pharmacy Intravenous Admixture Services, The Affiliated Taian City Central Hospital of Qingdao University, Taian, 271000 China.
Kangyu Wang *Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021 Shandong China.
Ning YuanDepartment of Clinical Laboratory, Fourth Teaching Hospital of Tian Jin University of TCM, Binhai New Area, Tianjin, 300450 China.
Qun ZhangDepartment of Blood Transfusion, The Affiliated Taian City Central Hospital of Qingdao University, Taian, 271000 China.
Xinmei Liang *Department of Clinical Laboratory, Fourth Teaching Hospital of Tian Jin University of TCM, Binhai New Area, Tianjin, 300450 China.
Zhijun Zhang *Department of Clinical Laboratory, The Affiliated Taian City Central Hospital of Qingdao University, Taian, 271000 China.ORCID 0000-0001-6916-2356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the lack of efficient diagnosis techniques, non-small cell lung cancer (NSCLC) continues to be the main contributor to global death from cancer. Consequently, our research aims to identify reliable biomarkers for diagnosing non-small cell lung cancer (NSCLC) by using serum exosomal short nucleolar RNAs (snoRNAs). Based on the databases, we selected SNORD60 and further verified it in 48 paired FFPE tissues. To define exosomes isolated from the serum, we conducted transmission electron microscopy (TEM) and qNano besides western blots. qRT-PCR helped further verify SNORD60 in exosomal serum from 132 NSCLC patients and 143 participants in good health. The receiver operating characteristic (ROC) was employed to estimate the diagnostic efficacy of SNORD60, both alone and in combination with carcinoembryonic antigen (CEA) and cytokeratin 19 fragment (CYFRA21-1). SNORD60 was significantly overexpressed in tissues and serum exosomes of NSCLC patients compared to those of good-health individuals. To evaluate the effectiveness of diagnostic biomarkers for NSCLC and its early stage, serum exosomal SNORD60 was found to have the ability to be a diagnostic biomarker, as well as CEA or CYFRA21-1 with an exosomal combination of SNORD60. The exosomal level of SNORD60 is significantly overexpressed in patients with NSCLC, which offers a promising diagnostic biomarker of NSCLC. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-024-01230-y.

Indexed as

BiomarkersDiagnosticExosomesNSCLCsnoRNAs

Identifiers

PMID40937389
PMCPMC12420564

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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.