Evidence map›Paper›PMID 33297544›Full record

ReviewBiomedicines2020

Extracellular Vesicles as Potential Biomarkers for Early Detection and Diagnosis of Pancreatic Cancer.

Nelson S Yee, Sheng Zhang, Hong-Zhang He, Si-Yang Zheng

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
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

29 citing papers in PubMed, 36 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Nelson S YeeDivision of Hematology-Oncology, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA.ORCID 0000-0002-1457-9047
Sheng ZhangMicro & Nano Integrated Biosystem Laboratory, Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Hong-Zhang HeMicro & Nano Integrated Biosystem Laboratory, Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Si-Yang ZhengMicro & Nano Integrated Biosystem Laboratory, Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Carnegie Mellon University · USPennsylvania State University · US

Funding

3D carbon-nanotubes integrated microdevice for extracellular vesicle isolation and in situ sample preparation towards noninvasive pancreatic cancer diagnosisR01CA237250 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI ZHENG, SIYANG · 2019 to 2023
$2.5M
NCI NIH HHS R01 CA237250
6 · The paper itself

Abstract

Pancreatic carcinoma (PC) is highly metastatic, and it tends to be detected at advanced stages. Identifying and developing biomarkers for early detection of PC is crucial for a potentially curative treatment. Extracellular vesicles (EVs) are bilayer lipid membrane-structured nanovesicles found in various human bodily fluids, and they play important roles in tumor biogenesis and metastasis. Cancer-derived EVs are enriched with DNA, RNA, protein, and lipid, and they have emerged as attractive diagnostic biomarkers for early detection of PC. In this article, we provided an overview of the cell biology of EVs and their isolation and analysis, and their roles in cancer pathogenesis and progression. Multiplatform analyses of plasma-based exosomes for genomic DNA, micro RNA, mRNA, circular RNA, and protein for diagnosis of PC were critically reviewed. Numerous lines of evidence demonstrate that liquid biopsy with analysis of EV-based biomarkers has variable performance for diagnosis of PC. Future investigation is indicated to optimize the methodology for isolating and analyzing EVs and to identify the combination of EV-based biomarkers and other clinical datasets, with the goal of improving the predictive value, sensitivity, and specificity of screening tests for early detection and diagnosis of PC.

Indexed as

early detectionexosomesextracellular vesiclesliquid biopsypancreatic carcinoma

Identifiers

PMID33297544
PMCPMC7762339
OpenAlexW3113316959

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.