Evidence map›Paper›PMID 34586739›Full record

ArticleClinical and translational medicine2021

Blood small extracellular vesicles derived miRNAs to differentiate pancreatic ductal adenocarcinoma from chronic pancreatitis.

Shiwei Guo, Hao Qin, Ke Liu, Huan Wang, Sijia Bai, Shiyi Liu, Zhuo Shao, Yanan Zhang, Bin Song, Xiaoya Xu and 12 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  13. miRNAs in pancreatic cancer progression and metastasis.Clinical & experimental metastasis · 2024
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  19. The Role of MicroRNAs in Pancreatitis Development and Progression.International journal of molecular sciences · 2023
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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

22 authors at 2 institutions in 1 country.

Shiwei GuoDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Hao Qin3D Medicines Inc., Shanghai, China.
Ke LiuDepartment of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Huan WangDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Sijia BaiDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Shiyi Liu3D Medicines Inc., Shanghai, China.
Zhuo ShaoDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Yanan Zhang3D Medicines Inc., Shanghai, China.
Bin SongDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Xiaoya Xu3D Medicines Inc., Shanghai, China.
Jing ShenDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Peng Zeng3D Medicines Inc., Shanghai, China.
Xiaohan ShiDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Hao Chen3D Medicines Inc., Shanghai, China.
Suizhi GaoDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Jiajia Xu3D Medicines Inc., Shanghai, China.
Yaqi PanDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Lei Xiong3D Medicines Inc., Shanghai, China.
Fugen Li3D Medicines Inc., Shanghai, China.
Dadong Zhang3D Medicines Inc., Shanghai, China.
Xiaodong JiaoDepartment of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Gang JinDepartment of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.ORCID 0000-0001-6713-1185
Second Military Medical University · CNWestern Digital (China) · CN

Funding

Major Project of Translational Medicine in Second Military Medical University 2017National Key R&D Program of China 2017YFC0908401National Key R&D Program of China 2019YFC1315904National Natural Science Foundation of China 81402020National Natural Science Foundation of China 81672830Program for Shanghai Outstanding Medical Academic Leader 2016the Shanghai Municipal Education Commission 2017-01-07-00-07-E00012the Shanghai Zhangjiang National Innovation Demonstration Zone Special Development Fund ZJ2017-ZD-014Top Projects of Military Medical Science and Technology Training Program 17QNP017
6 · The paper itself

Abstract

backgroundThe differential diagnosis of pancreatic ductal adenocarcinoma (PDAC) from chronic pancreatitis (CP) is clinically challenging due to a lack of minimally invasive diagnosis methods. MicroRNAs (miRNAs) derived from small extracellular vesicles (EVs) in the blood have been reported as a promising diagnosis biomarker for various types of cancer. However, blood small EV miRNA signatures and their diagnostic value to differentiate between PDAC and CP remain to be determined.

methodsIn this study, 107 patients with PDAC or CP were recruited, and 90 patients were finally enrolled for a training cohort (n = 48) and test cohort (n = 42). Small RNA sequencing was used to assess the expression of blood small EV miRNAs in these patients.

resultsThe linear model from the differentially expressed blood small EV miR-95-3p divided by miR-26b-5p showed an average sensitivity of 84.1% and an average specificity of 96.6% to identify PDAC from CP in the training cohort and the test cohort, respectively. When the model was combined with serum carbohydrate antigen 19-9 (CA19-9), the average sensitivity increased to 96.5%, and the average specificity remained at 96.4% of both cohorts, which demonstrated the best performance of all the published biomarkers for distinguishing between PDAC and CP. The causal analysis performed using the Bayesian network demonstrated that miR-95-3p was associated with a "consequence" of "cancer" and miR-26b-5p as a "cause" of "pancreatitis." A subgroup analysis revealed that blood small EV miR-335-5p/miR-340-5p could predict metastases in both cohorts and was associated with an overall survival (p = 0.020).

conclusionsThis study indicated that blood small EV miR-95-3p/miR-26b-5p and its combination with serum levels of CA19-9 could separate PDAC from CP, and miR-335-5p/miR-340-5p was identified to associate with PDAC metastasis and poor prognosis. These results suggested the potentiality of blood small EV miRNAs as differential diagnosis and metastases biomarkers of PDAC.

Indexed as

Carcinoma, Pancreatic DuctalMicroRNAsPancreatic NeoplasmsPancreatitis, ChronicAdultAgedDiagnosis, DifferentialExtracellular VesiclesFemaleHumansMaleMiddle AgedPancreasPrognosisMicroRNAschronic pancreatitisdifferential diagnosispancreatic ductal adenocarcinomasmall extracellular vesicles miRNAs

Identifiers

PMID34586739
PMCPMC8431442
OpenAlexW3201615753

What OpenQuestion holds

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LicenceCC BY
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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.