Evidence map›Paper›PMID 27216179›Full record

ArticleCancer research2016

Three-Dimensional Breast Cancer Models Mimic Hallmarks of Size-Induced Tumor Progression.

Manjulata Singh, Shilpaa Mukundan, Maria Jaramillo, Steffi Oesterreich, Shilpa Sant

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Review
  3. Collective migration modes in development, tissue repair and cancer.Nature reviews. Molecular cell biology · 2025
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  15. The effects of human sera conditioned by high-intensity exercise sessions and training on the tumorigenic potential of cancer cells.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration.Small (Weinheim an der Bergstrasse, Germany) · 2019
    Review
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

5 authors at 2 institutions in 1 country.

Manjulata SinghDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
Shilpaa MukundanDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
Maria JaramilloDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
Steffi OesterreichWomen's Cancer Research Center, Magee-Womens Research Institute, University of Pittsburgh Cancer Institute, School of Medicine, Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Shilpa SantDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania. Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania. McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. shs149@pitt.edu.
University of Pittsburgh · USMagee-Womens Research Institute · US

Funding

Engineered Microenvironments to model effect of size in tumor progressionR03EB018575 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANT, SHILPA · 2014 to 2015
$154k
NIBIB NIH HHS R03 EB018575
6 · The paper itself

Abstract

Tumor size is strongly correlated with breast cancer metastasis and patient survival. Increased tumor size contributes to hypoxic and metabolic gradients in the solid tumor and to an aggressive tumor phenotype. Thus, it is important to develop three-dimensional (3D) breast tumor models that recapitulate size-induced microenvironmental changes and, consequently, natural tumor progression in real time without the use of artificial culture conditions or gene manipulations. Here, we developed size-controlled multicellular aggregates ("microtumors") of subtype-specific breast cancer cells by using non-adhesive polyethylene glycol dimethacrylate hydrogel microwells of defined sizes (150-600 μm). These 3D microtumor models faithfully represent size-induced microenvironmental changes, such as hypoxic gradients, cellular heterogeneity, and spatial distribution of necrotic/proliferating cells. These microtumors acquire hallmarks of tumor progression in the same cell lines within 6 days. Of note, large microtumors of hormone receptor-positive cells exhibited an aggressive phenotype characterized by collective cell migration and upregulation of mesenchymal markers at mRNA and protein level, which was not observed in small microtumors. Interestingly, triple-negative breast cancer (TNBC) cell lines did not show size-dependent upregulation of mesenchymal markers. In conclusion, size-controlled microtumor models successfully recapitulated clinically observed positive association between tumor size and aggressive phenotype in hormone receptor-positive breast cancer while maintaining clinically proven poor correlation of tumor size with aggressive phenotype in TNBC. Such clinically relevant 3D models generated under controlled experimental conditions can serve as precise preclinical models to study mechanisms involved in breast tumor progression as well as antitumor drug effects as a function of tumor progression. Cancer Res; 76(13); 3732-43. ©2016 AACR.

Indexed as

Cell MovementModels, BiologicalTumor MicroenvironmentBiomarkers, TumorBreast NeoplasmsCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansHydrogel, Polyethylene Glycol DimethacrylateMesenchymal Stem CellsSignal TransductionTumor BurdenTumor Cells, CulturedBiomarkers, TumorHydrogel, Polyethylene Glycol Dimethacrylate

Identifiers

PMID27216179
PMCPMC4947371
OpenAlexW2403387548

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.