Evidence map›Paper›PMID 36481562›Full record

ArticleTranslational research : the journal of laboratory and clinical medicine2023

A human vascularized microtumor model of patient-derived colorectal cancer recapitulates clinical disease.

Stephanie J Hachey, Agua Sobrino, John G Lee, Mehraneh D Jafari, Samuel J Klempner, Eric J Puttock, Robert A Edwards, John S Lowengrub, Marian L Waterman, Jason A Zell and 1 more

Abstract read
In one paragraph

Article in Translational research : the journal of laboratory and clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  16. Intestinal organ chips for disease modelling and personalized medicine.Nature reviews. Gastroenterology & hepatology · 2024
    Review
  17. Microfluidic Modulation of Microvasculature in Microdissected Tumors.bioRxiv : the preprint server for biology · 2024
    Article
  18. Review
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  20. 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.

Stephanie J HacheyIrvine Department of Molecular Biology and Biochemistry, University of California, Irvine, California.
Agua SobrinoIrvine Department of Molecular Biology and Biochemistry, University of California, Irvine, California.
John G LeeIrvine School of Medicine, University of California, Irvine, California.
Mehraneh D JafariDepartment of Surgery, Weill Cornell Medicine, New York, New York.
Samuel J KlempnerMassachusetts General Hospital Cancer Center, Boston, Massachusetts.
Eric J PuttockIrvine Department of Mathematics, University of California, Irvine, California.
Robert A EdwardsIrvine School of Medicine, University of California, Irvine, California.
John S LowengrubIrvine Department of Mathematics, University of California, Irvine, California.
Marian L WatermanIrvine Department of Microbiology and Molecular Genetics, University of California, Irvine, California.
Jason A ZellIrvine School of Medicine, University of California, Irvine, California.
Christopher C W HughesIrvine Department of Molecular Biology and Biochemistry, University of California, Irvine, California; Irvine Department of Biomedical Engineering, University of California, Irvine, California. Electronic address: cchughes@uci.edu.

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Shared Resource Core: Single Cell AnalysisU54CA217378 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAN ETTEN, RICHARD A. · 2018 to 2022
$9.7M
NCI NIH HHS P30 CA062203NCI NIH HHS U54 CA217378
6 · The paper itself

Abstract

Accurately modeling tumor biology and testing novel therapies on patient-derived cells is critically important to developing therapeutic regimens personalized to a patient's specific disease. The vascularized microtumor (VMT), or "tumor-on-a-chip," is a physiologic preclinical cancer model that incorporates key features of the native human tumor microenvironment within a transparent microfluidic platform, allowing rapid drug screening in vitro. Herein we optimize methods for generating patient-derived VMT (pVMT) using fresh colorectal cancer (CRC) biopsies and surgical resections to test drug sensitivities at the individual patient level. In response to standard chemotherapy and TGF-βR1 inhibition, we observe heterogeneous responses between pVMT derived from 6 patient biopsies, with the pVMT recapitulating tumor growth, histological features, metabolic heterogeneity, and drug responses of actual CRC tumors. Our results suggest that a translational infrastructure providing rapid information from patient-derived tumor cells in the pVMT, as established in this study, will support efforts to improve patient outcomes.

Indexed as

Colorectal NeoplasmsHumansMicrofluidicsTumor Microenvironment

Identifiers

PMID36481562
PMCPMC10593408

What OpenQuestion holds

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LicenceCC BY
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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.