Evidence map›Paper›PMID 31171849›Full record

ArticleScientific reports2019

Modeling the Effect of the Metastatic Microenvironment on Phenotypes Conferred by Estrogen Receptor Mutations Using a Human Liver Microphysiological System.

Mark T Miedel, Dillon C Gavlock, Shanhang Jia, Albert Gough, D Lansing Taylor, Andrew M Stern

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  4. Frontiers in global women's health · 2026
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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 at 1 institution in 2 countries.

Mark T MiedelDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Dillon C GavlockDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Shanhang JiaDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Albert GoughDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0001-6456-0195
D Lansing TaylorDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA. dltaylor@pitt.edu.
Andrew M SternDrug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA. sternam@pitt.edu.
University of Pittsburgh · US

Funding

Harnessing human brain and liver microphysiological systems for testing therapeutics for metastatic melanomaU01TR002383 · NCATS · VANDERBILT UNIVERSITY · PI MURPHY, WILLIAM L., TAYLOR, D. LANSING · 2018 to 2022
$7.6M
NCATS NIH HHS U01 TR002383
6 · The paper itself

Abstract

Reciprocal coevolution of tumors and their microenvironments underlies disease progression, yet intrinsic limitations of patient-derived xenografts and simpler cell-based models present challenges towards a deeper understanding of these intercellular communication networks. To help overcome these barriers and complement existing models, we have developed a human microphysiological system (MPS) model of the human liver acinus, a common metastatic site, and have applied this system to estrogen receptor (ER)+ breast cancer. In addition to their hallmark constitutive (but ER-dependent) growth phenotype, different ESR1 missense mutations, prominently observed during estrogen deprivation therapy, confer distinct estrogen-enhanced growth and drug resistant phenotypes not evident under cell autonomous conditions. Under low molecular oxygen within the physiological range (~5-20%) of the normal liver acinus, the estrogen-enhanced growth phenotypes are lost, a dependency not observed in monoculture. In contrast, the constitutive growth phenotypes are invariant within this range of molecular oxygen suggesting that ESR1 mutations confer a growth advantage not only during estrogen deprivation but also at lower oxygen levels. We discuss the prospects and limitations of implementing human MPS, especially in conjunction with in situ single cell hyperplexed computational pathology platforms, to identify biomarkers mechanistically linked to disease progression that inform optimal therapeutic strategies for patients.

Indexed as

MutationBiomarkers, TumorBreast NeoplasmsCell Line, TumorCoculture TechniquesCryopreservationDisease ProgressionEstrogen Receptor alphaFemaleHepatocytesHumansLiverMCF-7 CellsMicroscopy, ConfocalMutation, MissenseNeoplasm MetastasisBiomarkers, TumorESR1 protein, humanEstrogen Receptor alphaOxygen

Identifiers

PMID31171849
PMCPMC6554298
OpenAlexW2954686310

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.