Evidence map›Paper›PMID 39352679›Full record

ArticleJournal of fluorescence2025

Label-Free Detection of Programmed Death-Ligand 1 for Prognosis Using a Truncated Aptamer and SYBR Green I.

Ling Li, Zheng-Ling Li, Wei Wang, Xin-Xin Long, Ping Liu, Guo-Tian Wang, Shi-Qing Sun, Rong-Lian Du

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Article in Journal of fluorescence, 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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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ling LiDepartment of Oncology, Tengzhou Central People's Hospital, Tengzhou, Shandong, 277599, China.
Zheng-Ling LiTengzhou Maternal and Child Health Hospital, Tengzhou, Shandong, 277599, China.
Wei WangDepartment of Oncology, Tengzhou Central People's Hospital, Tengzhou, Shandong, 277599, China.
Xin-Xin LongDepartment of Oncology, Tengzhou Central People's Hospital, Tengzhou, Shandong, 277599, China.
Ping LiuDepartment of Oncology, Tengzhou Central People's Hospital, Tengzhou, Shandong, 277599, China.
Guo-Tian WangDepartment of Oncology, Tengzhou Central People's Hospital, Tengzhou, Shandong, 277599, China.
Shi-Qing SunDepartment of Oncology, Tengzhou Central People's Hospital, Tengzhou, Shandong, 277599, China.
Rong-Lian DuDepartment of Gastroenterology, TengZhou Central People's Hospital, Tengzhou, Shandong, 277599, China. Duronglian@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid and accurate detection of programmed death-ligand 1 (PD-L1) expression is of great value in the diagnosis and treatment of tumors. ELISA-based traditional method is the gold standard for protein detection, but there are still some shortcomings, especially the antigen-antibody dependence, greatly increased the detection time and cost. This work constructed a label-free fluorescent probe for rapid and sensitive detection of PD-L1 using a truncated aptamer as recognition molecules and double-stranded DNA specific dyes (SYBR Green I) as signal units. After a series of optimization conditions, this probe has good detection capability for PD-L1 in buffer solution with the detection limit as low as 0.68 ng/mL. Due to the specific recognition ability of aptamer and target, this method also has good selectivity for PD-L1 detection. The recovery of PD-L1 in human serum samples ranges from 86.20 to 96.36%. Compared with other methods, this strategy does not need to be marked, and does not need other complex design and purification process, but simple operation process and strong anti-interference ability. The whole detection process can be completed within 20 min and has good application prospect. This work will provide reference for drug dosage and prognosis evaluation of specific tumor therapy.

Indexed as

Aptamers, NucleotideB7-H1 AntigenBenzothiazolesFluorescent DyesOrganic ChemicalsDiaminesHumansLimit of DetectionPrognosisQuinolinesSpectrometry, FluorescenceAptamers, NucleotideB7-H1 AntigenBenzothiazolesCD274 protein, humanDiaminesFluorescent DyesOrganic ChemicalsQuinolinesSYBR Green IAptamerFluorescence detectionNucleic acid dyeProgrammed death-ligand 1Tumor prognosis

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.