Evidence map›Paper›PMID 39381267›Full record

ArticleMaterials today. Bio2024

Personalized PDAC chip with functional endothelial barrier for tumour biomarker detection: A platform for precision medicine applications.

Karina Goluba, Vadims Parfejevs, Evita Rostoka, Kaspars Jekabsons, Ilze Blake, Anastasija Neimane, Annija Anete Ule, Roberts Rimsa, Reinis Vangravs, Andrejs Pcolkins and 1 more

Abstract read
In one paragraph

Article in Materials today. Bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

11 authors.

Karina GolubaPharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.
Vadims ParfejevsPharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.
Evita RostokaPharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.
Kaspars JekabsonsPharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.
Ilze BlakePharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.
Anastasija NeimanePharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.
Annija Anete UleInstitute of Solid State Physics, University of Latvia, Kengaraga iela 8, Riga, Latvia.
Roberts RimsaInstitute of Solid State Physics, University of Latvia, Kengaraga iela 8, Riga, Latvia.
Reinis VangravsLatvian Centre of Infectious Diseases, Laboratory Service, Riga East University Hospital, Linezera iela 3, LV-1006, Riga, Latvia.
Andrejs PcolkinsDepartment of Abdominal and Soft Tissue Surgery, Riga East Clinical University Hospital, Hipokrata iela 2, Riga, Latvia.
Una RiekstinaPharmaceutical Sciences Center, Faculty of Medicine and Life Sciences, University of Latvia, Jelgavas iela 3, Riga, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer characterised by poor survival rates and an increasing global incidence. Advances in the staging and categorization of pancreatic tumours, along with the discovery of functional mutations, have made precision treatments possible, which may lead to better clinical results. To further improve customized treatment approaches, in vitro models that can be used for functional drug sensitivity testing and precisely mimic the disease at the organ level are required. In this study, we present a workflow for creating a personalized PDAC chip utilising primary tumour-derived human pancreatic organoids (hPOs) and Human Umbilical Vein Endothelial Cells (HUVECs) to simulate the vascular barrier and tumour interactions within a PDMS-free organ-on-a-chip system. The patient PDAC tissue, expanded as tumour hPOs, could be cultured as adherent cells on the chip for more than 50 days, allowing continuous monitoring of cell viability through outflows from tumour and endothelial channels. Our findings demonstrate a gradual increase in cell density and cell turnover in the pancreatic tumor channel. Tumour-specific biomarkers, including CA-19.9, TIMP-1, Osteopontin, MIC-1, ICAM-1 and sAXL were consistently detected in the PDAC chip outflows. Comparative analyses between tissue culture plates and microfluidic conditions revealed significant differences in biomarker secretion patterns, highlighting the advantages of the microfluidics approach. This PDAC chip provides a stable, reproducible tumour model system with a functional endothelial cell barrier, suitable for drug sensitivity and secretory biomarker studies, thus serving as a platform for functional precision medicine application and multi-organ chip development.

Identifiers

PMID39381267
PMCPMC11460472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.