Evidence map›Paper›PMID 30871481›Full record

ArticleBMC cancer2019

Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis.

Arturo B Ramirez, Raksha Bhat, Debashish Sahay, Carmine De Angelis, Hariprasad Thangavel, Sina Hedayatpour, Lacey E Dobrolecki, Agostina Nardone, Mario Giuliano, Chandandeep Nagi and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. 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
1.4field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation.Journal of experimental & clinical cancer research : CR · 2024
    Review
  6. Review
  7. Review
  8. Application of Microfluidics in Detection of Circulating Tumor Cells.Frontiers in bioengineering and biotechnology · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. CTC analysis: an update on technological progress.Translational research : the journal of laboratory and clinical medicine · 2019
    Review
  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

17 authors at 4 institutions in 2 countries.

Arturo B RamirezRareCyte, Inc., Seattle, WA, USA.
Raksha BhatDepartment of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA.
Debashish SahayDepartment of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA.
Carmine De AngelisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Hariprasad ThangavelDepartment of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA.
Sina HedayatpourDepartment of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA.
Lacey E DobroleckiLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Agostina NardoneLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Mario GiulianoDepartment of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
Chandandeep NagiLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Mothaffar RimawiLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
C Kent OsborneLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Michael T LewisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Jackie L StilwellRareCyte, Inc., Seattle, WA, USA.
Eric P KaldjianRareCyte, Inc., Seattle, WA, USA.
Rachel SchiffLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA. rschiff@bcm.edu.
Meghana V TrivediDepartment of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA. mtrivedi@central.uh.edu.ORCID http://orcid.org/0000-0002-0585-5580
Baylor College of Medicine · USUniversity of Houston · USViaCyte (United States) · USUniversity of Naples Federico II · IT

Funding

TUMOR SUPPRESSOR GENES IN BREAST CANCER DEVELOPMENTP50CA058183 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI GUTIERREZ, CAROLLINA · 1992 to 2012
$30.9M
Translational Research in Breast Cancer (SPORE)P50CA186784 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MATTHEW J ELLIS · 2014 to 2026
$24.5M
The Core of the Computational BiologyU54CA149196 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2010 to 2015
$10.6M
NCI NIH HHS P50 CA058183NCI NIH HHS P50 CA186784NCI NIH HHS U54 CA149196NIH HHS P50CA186784NIH HHS P50CA58183NIH HHS U54CA149196
6 · The paper itself

Abstract

backgroundBreast cancer patient-derived xenograft (BC-PDX) models represent a continuous and reproducible source of circulating tumor cells (CTCs) for studying their role in tumor biology and metastasis. We have previously shown the utility of BC-PDX models in the study of CTCs by immunohistochemistry (IHC) on serial paraffin sections and manual microscopic identification of cytokeratin-positive cells, a method that is both low-throughput and labor-intensive. We therefore aimed to identify and characterize CTCs from small volume mouse blood samples and examined its practical workflow in a study of BC-PDX mice treated with chemotherapy using an automated imaging platform, the AccuCyte®-CyteFinder® system.

methodsCTC analysis was conducted using blood from non-tumor bearing SCID/Beige mice spiked with human breast cancer cells, BC-PDX-bearing mice, and BC-PDX mice treated with vehicle or chemotherapeutic agent(s). After red blood cell lysis, nucleated cells were mixed with transfer solution, processed onto microscope slides, and stained by immunofluorescence. The CyteFinder automated scanning microscope was used to identify CTCs, defined as nucleated cells that were human cytokeratin-positive, and mouse CD45-negative. Disaggregated primary BC-PDX tumors and lung metastatic nodules were processed using the same immunostaining protocol. Collective expression of breast cancer cell surface markers (EpCAM, EGFR, and HER2) using a cocktail of target-specific antibodies was assessed. CTCs and disaggregated tumor cells were individually retrieved from slides using the CytePicker® module for sequence analysis of a BC-PDX tumor-specific PIK3CA mutation.

resultsThe recovery rate of human cancer cells spiked into murine blood was 83 ± 12%. CTC detection was not significantly different from the IHC method. One-third of CTCs did not stain positive for cell surface markers. A PIK3CA T1035A mutation present in a BC-PDX tumor was confirmed in isolated single CTCs and cells from dissociated metastatic nodules after whole genome amplification and sequencing. CTC evaluation could be simply implemented into a preclinical PDX therapeutic study setting with substantial improvements in workflow over the IHC method.

conclusionsAnalysis of small volume blood samples from BC-PDX-bearing mice using the AccuCyte-CyteFinder system allows investigation of the role of CTCs in tumor biology and metastasis independent of surface marker expression.

Indexed as

AnimalsAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsCell Line, TumorCell SeparationClass I Phosphatidylinositol 3-KinasesFemaleHumansKeratinsLeukocyte Common AntigensMiceMice, SCIDMutationNeoplasm TransplantationNeoplastic Cells, CirculatingAntineoplastic AgentsBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesKeratinsLeukocyte Common AntigensPIK3CA protein, humanPtprc protein, mouseBreast cancerChemotherapyCirculating tumor cellsPatient-derived xenograftsSingle-cell analysis

Identifiers

PMID30871481
PMCPMC6419430
OpenAlexW2937206150

What OpenQuestion holds

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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.