Evidence map›Paper›PMID 32911489›Full record

ArticlePloS one2020

High accuracy gene expression profiling of sorted cell subpopulations from breast cancer PDX model tissue.

Warren Porter, Eileen Snowden, Friedrich Hahn, Mitchell Ferguson, Frances Tong, W Shannon Dillmore, Rainer Blaesius

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Warren PorterBD Technologies and Innovation, Research Triangle Park, NC, United States of America.
Eileen SnowdenBD Technologies and Innovation, Research Triangle Park, NC, United States of America.
Friedrich HahnBD Technologies and Innovation, Research Triangle Park, NC, United States of America.
Mitchell FergusonBD Technologies and Innovation, Research Triangle Park, NC, United States of America.
Frances TongBD Technologies and Innovation, Research Triangle Park, NC, United States of America.
W Shannon DillmoreBD Technologies and Innovation, Research Triangle Park, NC, United States of America.
Rainer BlaesiusBD Technologies and Innovation, Research Triangle Park, NC, United States of America.ORCID 0000-0002-5048-9276
BD Technologie (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intratumor Heterogeneity (ITH) is a functionally important property of tumor tissue and may be involved in drug resistance mechanisms. Although descriptions of ITH can be traced back to very early reports about cancer tissue, mechanistic investigations are still limited by the precision of analysis methods and access to relevant tissue sources. PDX models have provided a reproducible source of tissue with at least a partial representation of naturally occurring ITH. We investigated the properties of phenotypically distinct cell populations by Fluorescence activated cell sorting (FACS) tissue derived cells from multiple tumors from a triple negative breast cancer patient derived xenograft (PDX) model. We subsequently subjected each population to in depth gene expression analysis. Our findings suggest that process related gene expression changes (caused by tissue dissociation and FACS sorting) are restricted to Immediate Early Genes (IEGs). This allowed us to discover highly reproducible gene expression profiles of distinct cellular compartments identifiable by cell surface markers in this particular tumor model. Within the context of data from a previously published model our work suggests that gene expression profiles associated with hypoxia, stemness and drug resistance may reside in tumor subpopulations predictably growing in PDX models. This approach provides a novel opportunity for prospective mechanistic studies of ITH.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeAnimalsDisease Models, AnimalFemaleFlow CytometryGene Expression ProfilingHumansMice, Inbred NODMice, SCIDTriple Negative Breast NeoplasmsXenograft Model Antitumor Assays

Identifiers

PMID32911489
PMCPMC7482927
OpenAlexW3086832609

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.