Evidence map›Paper›PMID 33418200›Full record

ArticleBiomaterials2021

Disease-induced immunomodulation at biomaterial scaffolds detects early pancreatic cancer in a spontaneous model.

Grace G Bushnell, Sophia M Orbach, Jeffrey A Ma, Howard C Crawford, Max S Wicha, Jacqueline S Jeruss, Lonnie D Shea

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. An engineered niche delineates metastatic potential of breast cancer.Bioengineering & translational medicine · 2024
    Article
  3. Review
  4. Article
  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

7 authors at 1 institution in 1 country.

Grace G BushnellDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Sophia M OrbachDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Jeffrey A MaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Howard C CrawfordDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, 48109, USA.
Max S WichaDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.
Jacqueline S JerussDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Surgery, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, MI, 48109, USA.
Lonnie D SheaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: ldshea@umich.edu.
University of Michigan · US

Funding

Interrupting Cellular Crosstalk in the Immunosuppressive Microenvironment of Pancreas CancerU01CA224145 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CRAWFORD, HOWARD C., PASCA DI MAGLIANO, MARINA · 2017 to 2021
$2.6M
Identifying intercellular circuits driving cell phenotypes within a nicheR01CA243916 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JERUSS, JACQUELINE SARA, SHEA, LONNIE D · 2019 to 2023
$2.3M
Measuring Signaling Pathway Dynamics During Tissue Growth in HydrogelsR01CA214384 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JERUSS, JACQUELINE SARA, SHEA, LONNIE D · 2017 to 2021
$1.8M
Heterogeneity of the Early Metastatic Niche in Cancer Progression and ChemoresistanceF32CA243421 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ORBACH, SOPHIA M · 2019 to 2021
$194k
Heterogeneity of early metastatic tumor cellsF31CA224982 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUSHNELL, GRACE GILMORE · 2018 to 2019
$56k
NCI NIH HHS F31 CA224982NCI NIH HHS F32 CA243421NCI NIH HHS R01 CA214384NCI NIH HHS R01 CA243916NCI NIH HHS U01 CA224145
6 · The paper itself

Abstract

Pancreatic cancer has the worst prognosis of all cancers due to disease aggressiveness and paucity of early detection platforms. We developed biomaterial scaffolds that recruit metastatic tumor cells and reflect the immune dysregulation of native metastatic sites. While this platform has shown promise in orthotopic breast cancer models, its potential in other models is untested. Herein, we demonstrate that scaffolds recruit disseminated pancreatic cells in the KPCY model of spontaneous pancreatic cancer prior to adenocarcinoma formation (3-fold increase in scaffold YFP + cells). Furthermore, immune cells at the scaffolds differentiate early- and late-stage disease with greater accuracy (0.83) than the natural metastatic site (liver, 0.50). Early disease was identified by an approximately 2-fold increase in monocytes. Late-stage disease was marked by a 1.5-2-fold increase in T cells and natural killer cells. The differential immune response indicated that the scaffolds could distinguish spontaneous pancreatic cancer from spontaneous breast cancer. Collectively, our findings demonstrate the utility of scaffolds to reflect immunomodulation in two spontaneous models of tumorigenesis, and their particular utility for identifying early disease stages in the aggressive KPCY pancreatic cancer model. Such scaffolds may serve as a platform for early detection of pancreatic cancer to improve treatment and prognosis.

Indexed as

Biocompatible MaterialsPancreatic NeoplasmsHumansImmunityImmunomodulationTissue ScaffoldsBiocompatible MaterialsBiomaterialsImmunomodulationMetastasisPancreatic cancer

Identifiers

PMID33418200
PMCPMC7870556
OpenAlexW3115430101

What OpenQuestion holds

Textmetadata
LicenceTDM
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.