Evidence map›Paper›PMID 34918298›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

The Role of the Tumor Microenvironment in CSC Enrichment and Chemoresistance: 3D Co-culture Methods.

Michael Bregenzer, Eric Horst, Pooja Mehta, Catherine Snyder, Taylor Repetto, Geeta Mehta

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
–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. Article
  2. Review
  3. Article
  4. Article
  5. The Impact of Cancer Stem Cells in Colorectal Cancer.International journal of molecular sciences · 2024
    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

6 authors.

Michael Bregenzer *Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Eric Horst *Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Pooja Mehta *Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA.
Catherine Snyder *Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA.
Taylor Repetto *Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA.
Geeta MehtaDepartment of Biomedical Engineering, Materials Science and Engineering, Macromolecular Science and Engineering, Rogel Cancer Center, and Precision Health, University of Michigan, Ann Arbor, MI, USA. mehtagee@umich.edu.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Tissue Engineering and RegenerationT32DE007057 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID H. KOHN · 1985 to 2026
$17.3M
NCI NIH HHS P30 CA046592NIDCR NIH HHS T32 DE007057
6 · The paper itself

Abstract

Cancer stem-like cells (CSC) are responsible for tumor progression, chemoresistance, recurrence, and poor outcomes in many cancers, making them critical research and therapeutic targets. One of the critical components potentiating CSC chemoresistance is the interactions between CSC and the surrounding cells in the tumor microenvironment. Our lab has developed several 3D co-culture models to study ovarian CSC interactions with stromal or immune cells found in ovarian tumor microenvironments. In this chapter, we use ovarian cancer as a model to describe the methodologies developed in our lab; however, these techniques are applicable to a wide range of cancers. First, we discuss our method for isolating CSC from heterogeneous tumors and for creating 3D self-assembled tumoroids in hanging drop plates, in either monoculture or co-culture with mesenchymal stem cells or monocytes/macrophages. We then discuss methods for analyzing these models with a focus on isolating cell-type-specific changes and mechanism investigation. Specifically, we describe lentiviral transduction and flow cytometry as established and robust methods to identify and separate each cell type for downstream analysis. We then describe methods to examine CSC functionality with transwell migration assays and colorimetric MTS-based proliferation assays. Finally, we demonstrate enzyme-linked immunosorbent assays (ELISA ) and quantitative polymerase chain reaction (qPCR) methods as mechanistic investigation tools to decouple paracrine and juxtacrine interactions. These methods have wide-reaching applications in cancer research from basic biological investigations, to drug discovery, and personalized drug screening for precision medicine.

Indexed as

Ovarian NeoplasmsTumor MicroenvironmentCell Line, TumorCoculture TechniquesDrug Resistance, NeoplasmFemaleHumansNeoplastic Stem CellsCancer stem-like cellsChemoresistanceCo-culturesJuxtacrineOvarian cancersParacrineThree-dimensionalTumor microenvironment

Identifiers

PMID34918298
PMCPMC10602930

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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.