Evidence map›Paper›PMID 27223429›Full record

ArticleOncotarget2016

Plasma microRNA panels to diagnose pancreatic cancer: Results from a multicenter study.

Zhe Cao, Chang Liu, Jianwei Xu, Lei You, Chunyou Wang, Wenhui Lou, Bei Sun, Yi Miao, Xubao Liu, Xiaowo Wang and 2 more

Open access · diamondAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
4.2field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  11. Liquid biopsy approach to pancreatic cancer.World journal of gastrointestinal oncology · 2021
    Review
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  13. [Role of exosomal miRNA in tumor progression and its possible mechanism].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
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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

12 authors at 9 institutions in 1 country.

Zhe CaoDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Chang LiuMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, TNLIST/Department of Automation, Tsinghua University, Beijing, 100084, China.
Jianwei XuDepartment of General Surgery, Qilu Hospital, Shandong University, Jinan, 250012, China.
Lei YouDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Chunyou WangDepartment of General Surgery, Pancreatic Disease Institute, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430022, China.
Wenhui LouDepartment of Pancreatic Surgery, Zhong Shan Hospital, Fudan University, Shanghai, 200032, China.
Bei SunDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
Yi MiaoDepartment of General Surgery, The First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, China.
Xubao LiuDepartment of Hepatopancreatobiliary Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Xiaowo WangMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, TNLIST/Department of Automation, Tsinghua University, Beijing, 100084, China.
Taiping ZhangDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Yupei ZhaoDepartment of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNTsinghua University · CNFirst Affiliated Hospital of Harbin Medical University · CNFudan University · CNHuazhong University of Science and Technology · CNNanjing Medical University · CNPeking Union Medical College Hospital · CNQilu Hospital of Shandong University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers for the early diagnosis of pancreatic cancer (PC) are urgent needed. Plasma microRNAs (miRNAs) might be used as biomarkers for the diagnosis of cancer. We analyzed 361 plasma samples from 6 surgical centers in China and performed machine learning approach. We gain insight of the association between the aberrant plasma miRNA expression and pancreatic disease. 671 microRNAs were screened in the discovery phase and 33 microRNAs in the training phase and 13 microRNAs in the validation phase. After the discovery phase and training phase, 2 diagnostic panels were constructed comprising 3 microRNAs in panel I (miR-486-5p, miR-126-3p, miR-106b-3p) and 6 microRNAs in panel II (miR-486-5p, miR-126-3p, miR-106b-3p, miR-938, miR-26b-3p, miR-1285). Panel I and panel II had high accuracy for distinguishing pancreatic cancer from chronic pancreatitis (CP) with area under the curve (AUC) values of 0.891 (Standard Error (SE): 0.097) and 0.889 (SE: 0.097) respectively, in the validation phase. Additionally, we demonstrated that the diagnostic value of the panels in discriminating PC from CP were comparable to that of carbohydrate antigen 19-9 (CA 19-9) 0.775 (SE: 0.053) (P = 0.1 for both). This study identified 2 diagnostic panels based on microRNA expression in plasma with the potential to distinguish PC from CP. These patterns might be developed as biomarkers for pancreatic cancer.

Indexed as

TranscriptomeBiomarkers, TumorBlood Chemical AnalysisCase-Control StudiesChinaEarly Detection of CancerFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesHigh-Throughput Screening AssaysHumansMaleMicroRNAsPancreatic NeoplasmsPancreatitis, ChronicBiomarkers, TumorMicroRNAsdiagnosismicroRNA panelsmulticenter studypancreatic cancer

Identifiers

PMID27223429
PMCPMC5173079
OpenAlexW2396195424

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.