Evidence map›Paper›PMID 24947048›Full record

ArticleBMC cancer2014

Single cell mutational analysis of PIK3CA in circulating tumor cells and metastases in breast cancer reveals heterogeneity, discordance, and mutation persistence in cultured disseminated tumor cells from bone marrow.

Glenn Deng, Sujatha Krishnakumar, Ashley A Powell, Haiyu Zhang, Michael N Mindrinos, Melinda L Telli, Ronald W Davis, Stefanie S Jeffrey

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 109 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Glenn DengCollege of Life Science and Chemistry, Wuhan Donghu University, Wuhan, P, R, China. glenn_deng@yahoo.com.
Sujatha Krishnakumar
Ashley A Powell
Haiyu Zhang
Michael N Mindrinos
Melinda L Telli
Ronald W Davis
Stefanie S Jeffrey
Stanford University · USWuhan Donghu University · CN

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Inflammation and the Response to InjuryU54GM062119 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI TOMPKINS, RONALD GARY · 2001 to 2010
$78.6M
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
Bridging Sustainable Distribution of TRBD Bioinformatics ResourcesR24GM102656 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI XIAO, WENZHONG · 2012 to 2014
$1.6M
NHGRI NIH HHS P01 HG000205NHGRI NIH HHS P01HG000205NIGMS NIH HHS R01 GM085601NIGMS NIH HHS R01GM085601NIGMS NIH HHS U54 GM062119NIGMS NIH HHS U54GM62119
6 · The paper itself

Abstract

backgroundTherapeutic decisions in cancer are generally guided by molecular biomarkers or, for some newer therapeutics, primary tumor genotype. However, because biomarkers or genotypes may change as new metastases emerge, circulating tumor cells (CTCs) from blood are being investigated for a role in guiding real-time drug selection during disease progression, expecting that CTCs will comprehensively represent the full spectrum of genomic changes in metastases. However, information is limited regarding mutational heterogeneity among CTCs and metastases in breast cancer as discerned by single cell analysis. The presence of disseminated tumor cells (DTCs) in bone marrow also carry prognostic significance in breast cancer, but with variability between CTC and DTC detection. Here we analyze a series of single tumor cells, CTCs, and DTCs for PIK3CA mutations and report CTC and corresponding metastatic genotypes.

methodsWe used the MagSweeper, an immunomagnetic separation device, to capture live single tumor cells from breast cancer patients' primary and metastatic tissues, blood, and bone marrow. Single cells were screened for mutations in exons 9 and 20 of the PIK3CA gene. Captured DTCs grown in cell culture were also sequenced for PIK3CA mutations.

resultsAmong 242 individual tumor cells isolated from 17 patients and tested for mutations, 48 mutated tumor cells were identified in three patients. Single cell analyses revealed mutational heterogeneity among CTCs and tumor cells in tissues. In a patient followed serially, there was mutational discordance between CTCs, DTCs, and metastases, and among CTCs isolated at different time points. DTCs from this patient propagated in vitro contained a PIK3CA mutation, which was maintained despite morphological changes during 21 days of cell culture.

conclusionsSingle cell analysis of CTCs can demonstrate genotypic heterogeneity, changes over time, and discordance from DTCs and distant metastases. We present a cautionary case showing that CTCs from any single blood draw do not always reflect metastatic genotype, and that CTC and DTC analyses may provide independent clinical information. Isolated DTCs remain viable and can be propagated in culture while maintaining their original mutational status, potentially serving as a future resource for investigating new drug therapies.

Indexed as

MutationSingle-Cell AnalysisBone MarrowBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesDNA Mutational AnalysisExonsFemaleHumansNeoplasm MetastasisNeoplastic Cells, CirculatingPhosphatidylinositol 3-KinasesClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID24947048
PMCPMC4071027
OpenAlexW2127609858

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.