Evidence map›Paper›PMID 31449673›Full record

ArticleThe Prostate2019

Detection and isolation of disseminated tumor cells in bone marrow of patients with clinically localized prostate cancer.

Frank C Cackowski, Yugang Wang, Joseph T Decker, Christopher Sifuentes, Steven Weindorf, Younghun Jung, Yu Wang, Ann M Decker, Kenji Yumoto, Nicholas Szerlip and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The Prostate, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Feasibility ofGeburtshilfe und Frauenheilkunde · 2026
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  6. The genomic regulation of metastatic dormancy.Cancer metastasis reviews · 2023
    Review
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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

14 authors at 2 institutions in 1 country.

Frank C CackowskiDivision of Hematology and Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan.ORCID 0000-0002-0075-3745
Yugang WangDepartment of Urology, University of Michigan School of Medicine, Ann Arbor, Michigan.
Joseph T DeckerDepartment of Bioengineering, University of Michigan College of Engineering, Ann Arbor, Michigan.
Christopher SifuentesDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan.
Steven WeindorfDepartment of Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan.
Younghun JungDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.
Yu WangDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.
Ann M DeckerDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.
Kenji YumotoDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.
Nicholas SzerlipDepartment of Neurological Surgery, University of Michigan and AAVAMC, Ann Arbor, Michigan.
Laura ButtittaDepartment of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, Michigan.
Kenneth J PientaDepartment of Urology and Oncology, James Buchannan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Todd M MorganDepartment of Urology, University of Michigan School of Medicine, Ann Arbor, Michigan.
Russell S TaichmanDepartment of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan.ORCID 0000-0002-7890-0020
University of Michigan · USJohns Hopkins University · US

Funding

Tumor microvesicle-mediated modulation of the bone microenvironmentP01CA093900 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KELLER, EVAN T · 2004 to 2024
$29.6M
NCI NIH HHS F048931NCI NIH HHS P01 CA093900NCI NIH HHS P01-CA093900NCI NIH HHS sub-award F036250
6 · The paper itself

Abstract

backgroundDisseminated tumor cells (DTCs) have been reported in the bone marrow (BM) of patients with localized prostate cancer (PCa). However, the existence of these cells continues to be questioned, and few methods exist for viable DTC isolation. Therefore, we sought to develop novel approaches to identify and, if detected, analyze localized PCa patient DTCs.

methodsWe used fluorescence-activated cell sorting (FACS) to isolate a putative DTC population, which was negative for CD45, CD235a, alkaline phosphatase, and CD34, and strongly expressed EPCAM. We examined tumor cell content by bulk cell RNA sequencing (RNA-Seq) and whole-exome sequencing after whole genome amplification. We also enriched for BM DTCs with α-EPCAM immunomagnetic beads and performed quantitative reverse trancriptase polymerase chain reaction (qRT-PCR) for PCa markers.

resultsAt a threshold of 4 cells per million BM cells, the putative DTC population was present in 10 of 58 patients (17%) with localized PCa, 4 of 8 patients with metastatic PCa of varying disease control, and 1 of 8 patients with no known cancer, and was positively correlated with patients' plasma PSA values. RNA-Seq analysis of the putative DTC population collected from samples above (3 patients) and below (5 patients) the threshold of 4 putative DTCs per million showed increased expression of PCa marker genes in 4 of 8 patients with localized PCa, but not the one normal donor who had the putative DTC population present. Whole-exome sequencing also showed the presence of single nucleotide polymorphisms and structural variants in the gene characteristics of PCa in 2 of 3 localized PCa patients. To examine the likely contaminating cell types, we used a myeloid colony formation assay, differential counts of cell smears, and analysis of the RNA-Seq data using the CIBERSORT algorithm, which most strongly suggested the presence of B-cell lineages as a contaminant. Finally, we used EPCAM enrichment and qRT-PCR for PCa markers to estimate DTC prevalence and found evidence of DTCs in 21 of 44 samples (47%).

conclusionThese data support the presence of DTCs in the BM of a subset of patients with localized PCa and describe a novel FACS method for isolation and analysis of viable DTCs.

Indexed as

AgedBiomarkers, TumorBone MarrowBone Marrow CellsCell SeparationExome SequencingFlow CytometryHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm Recurrence, LocalPolymorphism, Single NucleotideProstate-Specific AntigenProstatic NeoplasmsSequence Analysis, RNABiomarkers, TumorProstate-Specific Antigendisseminated cancer celldormancyflow cytometrymetastasis

Identifiers

PMID31449673
PMCPMC8177057
OpenAlexW2971218600

What OpenQuestion holds

Textmetadata
LicenceTDM
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.