Evidence map›Paper›PMID 40678708›Full record

ArticleWorld journal of gastroenterology2025

Serum exosomal hsa-let-7f-5p: A potential diagnostic biomarker for metastatic pancreatic cancer detection.

Shuai Ren, Li-Na Song, Rui Zhao, Ying Tian, Zhong-Qiu Wang

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Patterns of miRNA Expression in Primary and Metastatic Wilms Tumor.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  6. Parametric mapping of dynamicCancer imaging : the official publication of the International Cancer Imaging Society · 2026
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  12. Radiomic features of CECT and SUVmax of dual-tracer PET/CT reveal PD-L1 spatial heterogeneity in PDAC.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

5 authors.

Shuai RenDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China.
Li-Na SongDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China.
Rui ZhaoDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China.
Ying TianDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China.
Zhong-Qiu WangDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu Province, China. zhongqiuwang0815@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomal microRNAs (miRNAs) have emerged as promising biomarkers for cancer diagnosis due to their stability, tumor specificity, and accessibility. However, the diagnostic potential of serum exosomal miRNAs in metastatic pancreatic cancer remains underexplored.

aimTo investigate the diagnostic potential of serum exosomal miRNAs in metastatic pancreatic cancer.

methodsA total of 36 patients were enrolled, comprising 8 patients in the discovery phase (4 with metastatic and 4 with non-metastatic pancreatic cancer) and 28 in the validation cohort (15 non-metastatic and 13 metastatic cases). Exosomes were isolated using the exoEasy Maxi Kit and characterized by transmission electron microscopy, nanoparticle tracking analysis, and western blotting. High-throughput sequencing was conducted to identify differentially expressed serum exosomal miRNAs, which were subsequently validated using TaqMan probe-based reverse transcription-quantitative polymerase chain reaction. Bioinformatic analyses were performed to predict downstream target genes and explore their roles in metastatic progression.

resultsTransmission electron microscopy revealed that the isolated exosomes were predominantly round or oval with well-defined membrane boundaries. Nanoparticle tracking analysis showed a peak particle size of approximately 138 nm, accounting for 99.2% of total particles, consistent with the typical size range of exosomes. Western blotting confirmed the expression of exosome-specific markers CD63 and CD81. High-throughput sequencing identified 42 differentially expressed exosomal miRNAs between metastatic and non-metastatic groups. Among them, hsa-let-7f-5p was significantly upregulated in metastatic pancreatic cancer (

conclusionThe elevated expression of serum exosomal hsa-let-7f-5p in metastatic pancreatic cancer suggests its potential as a non-invasive biomarker for distinguishing metastatic from non-metastatic disease.

Indexed as

Biomarkers, TumorExosomesMicroRNAsPancreatic NeoplasmsAgedFemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleMicroscopy, Electron, TransmissionMiddle AgedNeoplasm MetastasisBiomarkers, TumorMicroRNAsmirnlet7 microRNA, humanBiomarkerMetastasisMicroRNAPancreatic cancerSerum exosomes

Identifiers

PMID40678708
PMCPMC12264843

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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.