Evidence map›Paper›PMID 32832835›Full record

ArticleJCO precision oncology2019

Circulating Tumor Cells as a Predictor of Treatment Response in Clinically Localized Prostate Cancer.

Simpa S Salami, Udit Singhal, Daniel E Spratt, Ganesh S Palapattu, Brent K Hollenbeck, Joseph D Schonhoft, Ryon Graf, Jessica Louw, Adam Jendrisak, Lyndsey Dugan and 5 more

Open access · greenAbstract read
In one paragraph

Article in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  10. Recent Advances in Methods for Circulating Tumor Cell Detection.International journal of molecular sciences · 2023
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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

15 authors at 4 institutions in 2 countries.

Simpa S SalamiMichigan Medicine, Ann Arbor, MI.
Udit SinghalMichigan Medicine, Ann Arbor, MI.
Daniel E SprattMichigan Medicine, Ann Arbor, MI.
Ganesh S PalapattuMichigan Medicine, Ann Arbor, MI.
Brent K HollenbeckMichigan Medicine, Ann Arbor, MI.
Joseph D SchonhoftEpic Sciences, San Diego, CA.
Ryon GrafEpic Sciences, San Diego, CA.
Jessica LouwEpic Sciences, San Diego, CA.
Adam JendrisakEpic Sciences, San Diego, CA.
Lyndsey DuganEpic Sciences, San Diego, CA.
Yipeng WangEpic Sciences, San Diego, CA.
Scott A TomlinsMichigan Medicine, Ann Arbor, MI.
Ryan DittamoreEpic Sciences, San Diego, CA.
Felix Y FengMichigan Medicine, Ann Arbor, MI.
Todd M MorganMichigan Medicine, Ann Arbor, MI.
Medical University of Vienna · ATMichigan Medicine · USUniversity of Michigan–Ann Arbor · USUniversity of San Francisco · US

Funding

Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Timothy Dess · 2014 to 2026
$27.6M
NCI NIH HHS P50 CA186786
6 · The paper itself

Abstract

purposeUsing nonenrichment-based, potentially more sensitive Epic Sciences circulating tumor cell (CTC) platform, we sought to detect and characterize CTCs in untreated, high-risk localized prostate cancer and to evaluate their clinical implication.

methodsBetween 2012 and 2015, blood samples were prospectively collected from patients with National Comprehensive Cancer Network high-risk localized prostate cancer undergoing either radiotherapy (XRT) plus androgen deprivation therapy or radical prostatectomy (RP) with curative intent. Samples were analyzed with the Epic Sciences platform with 4

resultsA diversity of CTC subtypes, including CK-positive, CK-negative, AR-positive, and CTC clusters, were observed in 73.3% (33 of 45) of patients with evaluable data. The median follow-up was 14.2 months (range, 0.5 to 43.7 months). BCR occurred more frequently in the RP group than XRT (15 of 26

conclusionCTCs can be identified in most patients with high-risk localized prostate cancer before definitive therapy using the Epic Sciences platform. If confirmed in a larger cohort with longer follow-up, phenotypic and genomic characterization of CTCs pretherapy may provide an additional means of risk stratifying patients with newly diagnosed high-risk disease and potentially help identify patients who could require multimodal therapy.

Identifiers

PMID32832835
PMCPMC7440257
OpenAlexW2946883065

What OpenQuestion holds

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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.