Evidence map›Paper›PMID 23057068›Full record

ArticleThe Analyst2012

Rapidly quantifying drug sensitivity of dispersed and clumped breast cancer cells by mass profiling.

Jennifer Chun, Thomas A Zangle, Theodora Kolarova, Richard S Finn, Michael A Teitell, Jason Reed

Abstract read
In one paragraph

Article in The Analyst, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Tracking of lineage massLab on a chip · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Jennifer ChunBioengineering Interdepartmental Program, Los Angeles, California, USA.
Thomas A Zangle
Theodora Kolarova
Richard S Finn
Michael A Teitell
Jason Reed

Funding

UCLA Tumor Immunology Training ProgramT32CA009120 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Steven M. Dubinett, MICHAEL A TEITELL · 1985 to 2026
$10.3M
The Center for Systemic Control of Cyto-NetworksPN2EY018228 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HO, CHIH-MING · 2006 to 2010
$8.2M
TCL1 ONCOGENE IN B LYMPHOCYTE DEVELOPMENT AND NEOPLASIAR01CA090571 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2002 to 2015
$3.8M
A Fourth Outcome: DNA Damage and the Differentiation of B CellsR01CA156674 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2011 to 2015
$1.5M
Nanotechnologies for Determining Gene Expression Patterns from Single CellsR01GM094388 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI REED, JASON C · 2010 to 2013
$1.3M
Nano mirrors for high throughput cell motion analysisR21GM074509 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GIMZEWSKI, JAMES K · 2005 to 2006
$376k
Live Cell Interferometry for Quantifying Mass Transport in CancerK25CA157940 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZANGLE, THOMAS ANDREW · 2012 to 2014
$354k
NCI NIH HHS CA157940NCI NIH HHS K25 CA157940NCI NIH HHS R01 CA090571NCI NIH HHS R01 CA156674NCI NIH HHS T32 CA009120NCI NIH HHS T32CA009120NEI NIH HHS PN2 EY018228NEI NIH HHS PN2EY018228NIGMS NIH HHS R01 GM094388NIGMS NIH HHS R01GM094388NIGMS NIH HHS R21 GM074509
6 · The paper itself

Abstract

Live cell mass profiling is a promising new approach for rapidly quantifying responses to therapeutic agents through picogram-scale changes in cell mass over time. A significant barrier in mass profiling is the inability of existing methods to handle pleomorphic cellular clusters and clumps, which are more commonly present in patient-derived samples or tissue cultures than are isolated single cells. Here we demonstrate automated Live Cell Interferometry (LCI) as a rapid and accurate quantifier of the sensitivity of single cell and colony-forming human breast cancer cell lines to the HER2-directed monoclonal antibody, trastuzumab (Herceptin). The relative sensitivities of small samples (<500 cells) of four breast cancer cell lines were determined tens-to-hundreds of times faster than is possible with traditional proliferation assays. These LCI advances in clustered sample assessment and speed open up the possibility for therapeutic response testing of patient-derived solid tumor samples, which are viable only for short periods ex vivo and likely to be in the form of cell aggregates and clusters.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic AgentsBreast NeoplasmsCell Line, TumorDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesFemaleHumansInterferometryTrastuzumabAntibodies, Monoclonal, HumanizedAntineoplastic AgentsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTrastuzumab

Identifiers

PMID23057068
PMCPMC3494737

What OpenQuestion holds

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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.