Evidence map›Paper›PMID 38902362›Full record

ArticleScientific reports2024

Differential extracellular vesicle concentration and their biomarker expression of integrin α

Reed Jacobson, Sangdeuk Ha, Sakurako Tani, Shrinwanti Ghosh, Yagna P R Jarajapu, Randall E Brand, Jiha Kim, Yongki Choi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

8 authors.

Reed JacobsonDepartments of Physics, North Dakota State University, Fargo, ND, 58108, USA.
Sangdeuk HaBiological Sciences, North Dakota State University, Fargo, ND, 58108, USA.
Sakurako TaniDepartments of Physics, North Dakota State University, Fargo, ND, 58108, USA.
Shrinwanti GhoshBiological Sciences, North Dakota State University, Fargo, ND, 58108, USA.
Yagna P R JarajapuPharmaceutical Sciences, North Dakota State University, Fargo, ND, 58108, USA.
Randall E BrandDepartment of Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, 15232, USA.
Jiha KimBiological Sciences, North Dakota State University, Fargo, ND, 58108, USA. Jiha.kim.1@ndsu.edu.
Yongki ChoiDepartments of Physics, North Dakota State University, Fargo, ND, 58108, USA. yongki.choi@ndsu.edu.

Funding

Targeting CLEC-2/podoplanin as a therapeutic strategy for pancreatic cancerP20GM109024 · NIGMS · NORTH DAKOTA STATE UNIVERSITY · PI Sanku Mallik · 2016 to 2026
$20.5M
Validation of biomarkers for risk prediction and early diagnosis of Pancreatic AdenocarcinomaU01CA200466 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Surinder K. Batra, Randall Brand · 2016 to 2026
$11.3M
Targeting Mas Receptor for Diabetic Vascular Disease in Older AdultsR01AG056881 · NIA · NORTH DAKOTA STATE UNIVERSITY · PI Yagna Jarajapu · 2017 to 2026
$3.2M
NCI NIH HHS U01 CA200466NIA NIH HHS R01 AG056881NIGMS NIH HHS P20 GM109024NIH HHS P20GM109024NIH HHS R01AG056881NIH HHS U01CA200466
6 · The paper itself

Abstract

Tumor-derived extracellular vesicles (EVs) show great potential as biomarkers for several diseases, including pancreatic cancer, due to their roles in cancer development and progression. However, the challenge of utilizing EVs as biomarkers lies in their inherent heterogeneity in terms of size and concentration, making accurate quantification difficult, which is highly dependent on the isolation and quantification methods used. In our study, we compared three EV isolation techniques and two EV quantification methods. We observed variations in EV concentration, with approximately 1.5-fold differences depending on the quantification method used. Interestingly, all EV isolation techniques consistently yielded similar EV quantities, overall size distribution, and modal sizes. In contrast, we found a notable increase in total EV amounts in samples from pancreatic cancer cell lines, mouse models, and patient plasma, compared to non-cancerous conditions. Moreover, individual tumor-derived EVs exhibited at least a 3-fold increase in several EV biomarkers. Our data, obtained from EVs isolated using various techniques and quantified through different methods, as well as originating from various pancreatic cancer models, suggests that EV profiling holds promise for the identification of unique and cancer-specific biomarkers in pancreatic cancer.

Indexed as

Biomarkers, TumorEpithelial Cell Adhesion MoleculeExtracellular VesiclesGlypicansPancreatic NeoplasmsAnimalsCell Line, TumorHumansIntegrin alphaVMiceBiomarkers, TumorEpithelial Cell Adhesion MoleculeGlypicansIntegrin alphaV

Identifiers

PMID38902362
PMCPMC11189911

What OpenQuestion holds

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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.