Evidence map›Paper›PMID 39182805›Full record

ArticleActa biomaterialia2024

Multiphoton excited polymerized biomimetic models of collagen fiber morphology to study single cell and collective migration dynamics in pancreatic cancer.

Sophie Mancha, Meghan Horan, Ojaswi Pasachhe, Adib Keikhosravi, Kevin W Eliceiri, Kristina A Matkowskyj, Jacob Notbohm, Melissa C Skala, Paul J Campagnola

Abstract read
In one paragraph

Article in Acta biomaterialia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Sophie ManchaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Meghan HoranDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Ojaswi PasachheMorgridge Institute for Research, Madison, WI, USA.
Adib KeikhosraviDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Kevin W EliceiriDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; Morgridge Institute for Research, Madison, WI, USA.
Kristina A MatkowskyjDepartment of Pathology & Lab Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
Jacob NotbohmDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Melissa C SkalaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA; Morgridge Institute for Research, Madison, WI, USA. Electronic address: mcskala@wisc.edu.
Paul J CampagnolaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address: pcampagnola@wisc.edu.

Funding

TECH CoreU54CA268069 · NCI · UNIVERSITY OF MINNESOTA · PI David J. Odde · 2022 to 2026
$8.2M
The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Functional optical imaging for rapid, label-free predictions of treatment response and clonal evolution in patient-derived cancer organoidsR01CA272855 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Dustin A Deming, Melissa Caroline Skala · 2023 to 2026
$3.1M
Label-free imaging of CAR T cell metabolismR01CA278051 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Christian Capitini, Krishanu Saha · 2023 to 2026
$2.6M
Label-free single-cell imaging for quality control of cardiomyocyte biomanufacturingR01HL165726 · NHLBI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Sean P Palecek, Melissa Caroline Skala · 2023 to 2026
$2.5M
3D biomimetic image-based stromal models of pancreatic cancer for drug screeningR21CA224280 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAMPAGNOLA, PAUL J, SKALA, MELISSA CAROLINE · 2018 to 2019
$373k
NCI NIH HHS R01 CA272855NCI NIH HHS R01 CA278051NCI NIH HHS R21 CA224280NCI NIH HHS U54 CA268069NHLBI NIH HHS R01 HL165726NIBIB NIH HHS P41 EB031772
6 · The paper itself

Abstract

The respective roles of aligned collagen fiber morphology found in the extracellular matrix (ECM) of pancreatic cancer patients and cellular migration dynamics have been gaining attention because of their connection with increased aggressive phenotypes and poor prognosis. To better understand how collagen fiber morphology influences cell-matrix interactions associated with metastasis, we used Second Harmonic Generation (SHG) images from patient biopsies with Pancreatic ductal adenocarcinoma (PDAC) as models to fabricate collagen scaffolds to investigate processes associated with motility. Using the PDAC BxPC-3 metastatic cell line, we investigated single and collective cell dynamics on scaffolds of varying collagen alignment. Collective or clustered cells grown on the scaffolds with the highest collagen fiber alignment had increased E-cadherin expression and larger focal adhesion sites compared to single cells, consistent with metastatic behavior. Analysis of single cell motility revealed that the dynamics were characterized by random walk on all substrates. However, examining collective motility over different time points showed that the migration was super-diffusive and enhanced on highly aligned fibers, whereas it was hindered and sub-diffusive on un-patterned substrates. This was further supported by the more elongated morphology observed in collectively migrating cells on aligned collagen fibers. Overall, this approach allows the decoupling of single and collective cell behavior as a function of collagen alignment and shows the relative importance of collective cell behavior as well as fiber morphology in PDAC metastasis. We suggest these scaffolds can be used for further investigations of PDAC cell biology. STATEMENT OF SIGNIFICANCE: Pancreatic ductal adenocarcinoma (PDAC) has a high mortality rate, where aligned collagen has been associated with poor prognosis. Biomimetic models representing this architecture are needed to understand complex cellular interactions. The SHG image-based models based on stromal collagen from human biopsies afford the measurements of cell morphology, cadherin and focal adhesion expression as well as detailed motility dynamics. Using a metastatic cell line, we decoupled the roles of single cell and collective cell behavior as well as that arising from aligned collagen. Our data suggests that metastatic characteristics are enhanced by increased collagen alignment and that collective cell behavior is more relevant to metastatic processes. These scaffolds provide new insight in this disease and can be a platform for further experiments such as testing drug efficacy.

Indexed as

Cell MovementPancreatic NeoplasmsBiomimetic MaterialsCarcinoma, Pancreatic DuctalCell Line, TumorCollagenHumansTissue ScaffoldsCollagenCollagen fibers, collagen remodelingCollective migrationMultiphoton excited fabricationPancreatic cancerSingle cell migration

Identifiers

PMID39182805
PMCPMC11446658

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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.