Evidence map›Paper›PMID 22586443›Full record

ArticlePloS one2012

Single cell profiling of circulating tumor cells: transcriptional heterogeneity and diversity from breast cancer cell lines.

Ashley A Powell, Amirali H Talasaz, Haiyu Zhang, Marc A Coram, Anupama Reddy, Glenn Deng, Melinda L Telli, Ranjana H Advani, Robert W Carlson, Joseph A Mollick and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 271 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
271citing papers in PubMed, 1 pooled it
30.8field-weighted citation impact, top 1% 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

271 citing papers in PubMed, 1 synthesis or guideline pooled it, 527 citations in OpenAlex.

  1. Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020
    Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Precision Oncology Framework Using Circulating Tumor Cells.International journal of molecular sciences · 2025
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review

211 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 3 institutions in 1 country.

Ashley A PowellDepartment of Surgery, Stanford University School of Medicine, Stanford, California, USA.
Amirali H Talasaz
Haiyu Zhang
Marc A Coram
Anupama Reddy
Glenn Deng
Melinda L Telli
Ranjana H Advani
Robert W Carlson
Joseph A Mollick
Shruti Sheth
Allison W Kurian
James M Ford
Frank E Stockdale
Stephen R Quake
R Fabian Pease
Michael N Mindrinos
Gyan Bhanot
Shanaz H Dairkee
Ronald W Davis
Stefanie S Jeffrey
Stanford University · USQuantitative BioSciences · USHoward Hughes Medical Institute · US

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI HOWE, ROGER THOMAS, JI, HANLEE P · 1990 to 2016
$120.9M
Inflammation and the Response to InjuryU54GM062119 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI TOMPKINS, RONALD GARY · 2001 to 2010
$78.6M
NIH Director's Pioneer Award (RMI)DP1OD000251 · OD · STANFORD UNIVERSITY · PI QUAKE, STEPHEN R · 2004 to 2008
$3.9M
Epigenetic changes and phenotype-specific therapeutic strategies in breast cancerR01GM085601 · NIGMS · UNIVERSITY OF UTAH · PI BILD, ANDREA HOPE, JEFFREY, STEFANIE S. · 2008 to 2011
$1.7M
Functional Analysis of Histologic Grade in Breast CancerR01CA109325 · NCI · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI DAIRKEE, SHANAZ H · 2005 to 2009
$1.3M
NCI NIH HHS R01 CA109325NCI NIH HHS R01CA109325NHGRI NIH HHS P01 HG000205NHGRI NIH HHS P01HG000205NIGMS NIH HHS R01 GM085601NIGMS NIH HHS R01GM085601NIGMS NIH HHS U54 GM062119NIGMS NIH HHS U54GM62119NIH HHS DP1 OD000251NIH HHS DP1OD000251
6 · The paper itself

Abstract

backgroundTo improve cancer therapy, it is critical to target metastasizing cells. Circulating tumor cells (CTCs) are rare cells found in the blood of patients with solid tumors and may play a key role in cancer dissemination. Uncovering CTC phenotypes offers a potential avenue to inform treatment. However, CTC transcriptional profiling is limited by leukocyte contamination; an approach to surmount this problem is single cell analysis. Here we demonstrate feasibility of performing high dimensional single CTC profiling, providing early insight into CTC heterogeneity and allowing comparisons to breast cancer cell lines widely used for drug discovery. METHODOLOGY/PRINCIPAL

findingsWe purified CTCs using the MagSweeper, an immunomagnetic enrichment device that isolates live tumor cells from unfractionated blood. CTCs that met stringent criteria for further analysis were obtained from 70% (14/20) of primary and 70% (21/30) of metastatic breast cancer patients; none were captured from patients with non-epithelial cancer (n = 20) or healthy subjects (n = 25). Microfluidic-based single cell transcriptional profiling of 87 cancer-associated and reference genes showed heterogeneity among individual CTCs, separating them into two major subgroups, based on 31 highly expressed genes. In contrast, single cells from seven breast cancer cell lines were tightly clustered together by sample ID and ER status. CTC profiles were distinct from those of cancer cell lines, questioning the suitability of such lines for drug discovery efforts for late stage cancer therapy. CONCLUSIONS/SIGNIFICANCE: For the first time, we directly measured high dimensional gene expression in individual CTCs without the common practice of pooling such cells. Elevated transcript levels of genes associated with metastasis NPTN, S100A4, S100A9, and with epithelial mesenchymal transition: VIM, TGFß1, ZEB2, FOXC1, CXCR4, were striking compared to cell lines. Our findings demonstrate that profiling CTCs on a cell-by-cell basis is possible and may facilitate the application of 'liquid biopsies' to better model drug discovery.

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticNeoplastic Cells, CirculatingCell Line, TumorFemaleGene Expression ProfilingHumansLymphomaMicroarray AnalysisMicrofluidic Analytical TechniquesNeoplasm MetastasisSingle-Cell Analysis

Identifiers

PMID22586443
PMCPMC3346739
OpenAlexW2116053761

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.