Evidence map›Paper›PMID 39107726›Full record

ArticleBMC cancer2024

Plasma-derived exosomal long noncoding RNAs of pancreatic cancer patients as novel blood-based biomarkers of disease.

Xiaomeng He, Litian Chen, Yang Di, Wenyang Li, Xin Zhang, Zhihui Bai, Zhefeng Wang, Shanshan Liu, Christopher Corpe, Jin Wang

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Rewriting the RNA code: an mFrontiers in immunology · 2026
    Review
  4. Early cancer diagnosisWorld journal of gastrointestinal oncology · 2025
    Article
  5. Review
  6. Review
  7. Review
  8. NCellular and molecular life sciences : CMLS · 2025
    Article
  9. Review
  10. Review
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

10 authors.

Xiaomeng He *Central Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, 361015, China.
Litian Chen *Department of Hepatobiliary Surgery, Shanghai Jiaotong University School of Medicine Xinhua Hospital, Shanghai, 200092, China.
Yang Di *Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Wenyang Li *Department of Physiology and Pathophysiology, Hexi University School of Medicine, Zhangye, Gansu, 734000, China.
Xin ZhangCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, 361015, China.
Zhihui BaiCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, 361015, China.
Zhefeng WangCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, 361015, China.
Shanshan LiuShanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
Christopher CorpeKing's College London, Nutritional Science Department, Waterloo, London, SE19NH, UK.
Jin WangCentral Laboratory, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, 361015, China. wjincityu@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer (PaCa) is one of the most intractable and fatal malignancies and is associated with the dysregulation of long noncoding RNAs (lncRNAs), which are a large class of noncoding RNAs larger than 200 nt that act as competing endogenous RNAs or sponges for miRNAs to induce tumour biological behaviours. However, their clinical value in treating pancreatic cancer has been poorly explained, but they are essential for improving the prognosis of PaCa patients.

methodsWe analysed the plasma-derived exosomal lncRNA profiles of PaCa patients by using whole-transcriptome sequencing analysis and identified significantly differentially expressed lncRNAs, including LINC01268, LINC02802, AC124854.1, and AL132657.1. In the current study, the expression levels of four plasma-derived exosomal lncRNAs in PaCa plasma were validated via quantitative real-time polymerase chain reaction (qRT‒PCR). The relationship between the expression of the four lncRNAs and the clinicopathological features of patients with PaCa was also evaluated.

resultsWe demonstrated that exosomal LINC01268, LINC02802, AC124854.1 and AL132657.1 were highly expressed in PaCa plasma compared with those in normal controls; moreover, they were positively correlated with the serum expression of carbohydrate antigen 19-9 (CA19-9). The receiver operating characteristic curves (AUCs) of the four lncRNAs were 0.8421, 0.6544, 0.7190, and 0.6321, and the AUC value of the combination of the four exosomal lncRNAs increased to 0.8476, with a sensitivity of 0.72 and specificity of 0.89. These results suggested that the plasma-derived exosomal genes LINC01268, LINC02802, AC124854.1, and AL132657.1 may be novel diagnostic markers for PaCa.

conclusionsOur research demonstrated that the plasma-derived exosomal lncRNAs of PaCa patients are novel blood-based biomarkers of disease.

Indexed as

Biomarkers, TumorExosomesPancreatic NeoplasmsRNA, Long NoncodingAgedCA-19-9 AntigenFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisROC CurveBiomarkers, TumorCA-19-9 AntigenRNA, Long NoncodingBiomarkerDiagnosisExosomeLong noncoding RNAPancreatic cancer

Identifiers

PMID39107726
PMCPMC11301836

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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.