Evidence map›Paper›PMID 30613814›Full record

ArticleACS omega2018

Live Cell Mass Accumulation Measurement Non-Invasively Predicts Carboplatin Sensitivity in Triple-Negative Breast Cancer Patient-Derived Xenografts.

Graeme F Murray, Tia H Turner, Kevin A Leslie, Mohammad A Alzubi, Daniel Guest, Sahib S Sohal, Michael A Teitell, J Chuck Harrell, Jason Reed

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

9 authors at 2 institutions in 1 country.

Graeme F MurrayDepartment of Physics, Virginia Commonwealth University, 701 West Grace Street, Richmond, Virginia 23284, United States.
Tia H TurnerDepartment of Pathology, Virginia Commonwealth University, 401 North 13th Street, Richmond, Virginia 23298, United States.
Kevin A LeslieDepartment of Physics, Virginia Commonwealth University, 701 West Grace Street, Richmond, Virginia 23284, United States.
Mohammad A AlzubiDepartment of Pathology, Virginia Commonwealth University, 401 North 13th Street, Richmond, Virginia 23298, United States.
Daniel GuestDepartment of Physics, Virginia Commonwealth University, 701 West Grace Street, Richmond, Virginia 23284, United States.
Sahib S SohalDepartment of Pathology, Virginia Commonwealth University, 401 North 13th Street, Richmond, Virginia 23298, United States.
Michael A TeitellDepartment of Pathology and Laboratory Medicine, University of California Los Angeles, 757 Westwood Plaza, Los Angeles, California 90095, United States.
J Chuck HarrellDepartment of Pathology, Virginia Commonwealth University, 401 North 13th Street, Richmond, Virginia 23298, United States.
Jason ReedDepartment of Physics, Virginia Commonwealth University, 701 West Grace Street, Richmond, Virginia 23284, United States.
Virginia Commonwealth University · USUniversity of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Kim Felder Rhoads · 1985 to 2026
$51.0M
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
NCI NIH HHS P30 CA016042NCI NIH HHS P30 CA016059NCI NIH HHS R01 CA185189
6 · The paper itself

Abstract

Prompt and repeated assessments of tumor sensitivity to available therapeutics could reduce patient morbidity and mortality by quickly identifying therapeutic resistance and optimizing treatment regimens. Analysis of changes in cancer cell biomass has shown promise in assessing drug sensitivity and fulfilling these requirements. However, a major limitation of previous studies in solid tumors, which comprise 90% of cancers, is the use of cancer cell lines rather than freshly isolated tumor material. As a result, existing biomass protocols are not obviously extensible to real patient tumors owing to potential artifacts that would be generated by the removal of cells from their microenvironment and the deleterious effects of excision and purification. In this present work, we show that simple excision of human triple-negative breast cancer (TNBC) tumors growing in immunodeficient mouse, patient-derived xenograft (PDX) models, followed by enzymatic disaggregation into single cell suspension, is enabling for rapid and accurate biomass accumulation-based predictions of in vivo sensitivity to the chemotherapeutic drug carboplatin. We successfully correlate in vitro biomass results with in vivo treatment results in three TNBC PDX models that have differential sensitivity to this drug. With a maximum turnaround time of 40 h from tumor excision to useable results and a fully-automated analysis pipeline, the assay described here has significant potential for translation to clinical practice.

Identifiers

PMID30613814
PMCPMC6312628
OpenAlexW2904994628

What OpenQuestion holds

Textmetadata
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.