Evidence map›Paper›PMID 22373240›Full record

ArticleBMC cancer2012

Isolation and genomic analysis of circulating tumor cells from castration resistant metastatic prostate cancer.

Mark Jesus M Magbanua, Eduardo V Sosa, Janet H Scott, Jeff Simko, Colin Collins, Dan Pinkel, Charles J Ryan, John W Park

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01848067 (A Phase I/II Study of Alisertib in Combination With Abiraterone and Prednisone for Patients With Castration-Resistant Prostate Cancer After Progression on Abiraterone), which is not on this map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.9field-weighted citation impact, top 3% 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.

NCT01848067 phase1 / phase2completednot on this mapstarted 2013, after this paper: background citation

A Phase I/II Study of Alisertib in Combination With Abiraterone and Prednisone for Patients With Castration-Resistant Prostate Cancer After Progression on Abiraterone

TypeinterventionalSponsorSidney Kimmel Comprehensive Cancer Center at Thomas Jefferson UniversityRan2013 to 2016Enrolled9ConditionsAdenocarcinoma of the Prostate, Hormone-resistant Prostate Cancer, Recurrent Prostate Cancer, Stage IV Prostate CancerArmsAlisertib, Abiraterone acetate, Prednisone
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 95 citations in OpenAlex.

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  11. An integrated enrichment system to facilitate isolation and molecular characterization of single cancer cells from whole blood.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
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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 3 institutions in 2 countries.

Mark Jesus M MagbanuaDepartment of Medicine, Division of Hematology/Oncology, University of California San Francisco, USA.
Eduardo V Sosa
Janet H Scott
Jeff Simko
Colin Collins
Dan Pinkel
Charles J Ryan
John W Park
University of California, San Francisco · USUCSF Helen Diller Family Comprehensive Cancer Center · USUniversity of British Columbia · CA

Funding

Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
Integrated Biomarkers to Characterize Breast Cancer RiskU01CA111234 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ESSERMAN, LAURA J · 2004 to 2009
$4.4M
NCI NIH HHS 3 P50-CA58207NCI NIH HHS U01 CA111234
6 · The paper itself

Abstract

backgroundThe number of circulating tumor cells (CTCs) in metastatic prostate cancer patients provides prognostic and predictive information. However, it is the molecular characterization of CTCs that offers insight into the biology of these tumor cells in the context of personalized treatment.

methodsWe developed a novel approach to isolate CTCs away from hematopoietic cells with high purity, enabling genomic analysis of these cells. The isolation protocol involves immunomagnetic enrichment followed by fluorescence activated cell sorting (IE/FACS). To evaluate the feasibility of isolation of CTCs by IE/FACS and downstream genomic profiling, we conducted a pilot study in patients with metastatic castration resistant prostate cancer (CRPC). Twenty (20) sequential CRPC patients were assayed using CellSearch™. Twelve (12) patients positive for CTCs were subjected to immunomagnetic enrichment and fluorescence activated cell sorting (IE/FACS) to isolate CTCs. Genomic DNA of CTCs was subjected to whole genome amplification (WGA) followed by gene copy number analysis via array comparative genomic hybridization (aCGH).

resultsCTCs from nine (9) patients successfully profiled were observed to have multiple copy number aberrations including those previously reported in primary prostate tumors such as gains in 8q and losses in 8p. High-level copy number gains at the androgen receptor (AR) locus were observed in 7 (78%) cases. Comparison of genomic profiles between CTCs and archival primary tumors from the same patients revealed common lineage. However, high-level copy number gains in the AR locus were observed in CTCs, but not in the matched archival primary tumors.

conclusionsWe developed a new approach to isolate prostate CTCs without significant leukocyte admixture, and to subject them to genome-wide copy number analysis. Our assay may be utilized to explore genomic events involved in cancer progression, e.g. development of castration resistance and to monitor therapeutic efficacy of targeted therapies in clinical trials in a relatively non-invasive manner.

Indexed as

Neoplastic Cells, CirculatingCytological TechniquesFlow CytometryFluorescent Antibody TechniqueGene AmplificationHumansIn Situ Hybridization, FluorescenceMalePilot ProjectsProstatic NeoplasmsReceptors, AndrogenReceptors, Androgen

Identifiers

PMID22373240
PMCPMC3395839
OpenAlexW2162685940

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.