Evidence map›Paper›PMID 31374981›Full record

ArticleCancers2019

Analysis of AR/ARV7 Expression in Isolated Circulating Tumor Cells of Patients with Metastatic Castration-Resistant Prostate Cancer (SAKK 08/14 IMPROVE Trial).

Ivana Bratic Hench, Richard Cathomas, Luigi Costa, Natalie Fischer, Silke Gillessen, Jürgen Hench, Thomas Hermanns, Eloïse Kremer, Walter Mingrone, Ricardo Pereira Mestre and 8 more

Abstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

18 authors.

Ivana Bratic HenchInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Richard CathomasDepartment of Oncology/Hematology, Cantonal Hospital Graubünden, 7000 Chur, Switzerland.
Luigi CostaInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Natalie FischerDepartment of Oncology, Cantonal Hospital Winterthur, 8401 Winterthur, Switzerland.
Silke GillessenDepartment of Oncology/Hematology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland.
Jürgen HenchInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Thomas HermannsDepartment of Urology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Eloïse KremerSwiss Group for Clinical Cancer Research (SAKK) Coordinating Center, 3008 Bern, Switzerland.
Walter MingroneDepartment of Medical Oncology, Cantonal Hospital Olten, 4600 Olten, Switzerland.
Ricardo Pereira MestreClinic of Medical Oncology, Oncology Institute of Southern Switzerland, 6500 Bellinzona, Switzerland.
Heike PüschelInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Christian RothermundtDepartment of Oncology/Hematology, Cantonal Hospital St. Gallen, 9007 St. Gallen, Switzerland.
Christian RuizInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Markus TolnayInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Philippe Von BurgDepartment of Oncology/Hematology, Hospital of Solothurn, 4500 Solothurn, Switzerland.
Lukas BubendorfInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.
Tatjana VlajnicInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland. tatjana.vlajnic@usb.ch.
Swiss Group For Clinical Cancer Research SakkInstitute of Pathology, University Hospital Basel, Schönbeinstrasse 40, 4031 Basel, Switzerland.

Funding

Astellas Pharma not availableMAX AND HEDWIG NIEDERMAIER FOUNDATION not availableSwiss Cancer Research Foundation (SCS) not availableSwiss Group for Clinical Cancer Research (SAKK) not availableSWISS NATIONAL SCIENCE FOUNDATION (SNSF) P2BSP3_161901Swiss State Secretariat for Education, Research and Innovation (SERI) not available
6 · The paper itself

Abstract

Despite several treatment options and an initial high response rate to androgen deprivation therapy, the majority of prostate cancers will eventually become castration-resistant in the metastatic stage (mCRPC). Androgen receptor splice variant 7 (ARV7) is one of the best-characterized androgen receptor (AR) variants whose expression in circulating tumor cells (CTCs) has been associated with enzalutamide resistance. ARV7 expression analysis before and during enzalutamide treatment could identify patients requiring alternative systemic therapies. However, a robust test for the assessment of the ARV7 status in patient samples is still missing. Here, we implemented an RT-qPCR-based assay for detection of AR full length (ARFL)/ARV7 expression in CTCs for clinical use. Additionally, as a proof-of-principle, we validated a cohort of 95 mCRPC patients initiating first line treatment with enzalutamide or enzalutamide/metformin within a clinical trial. A total of 95 mCRPC patients were analyzed at baseline of whom 27.3% (26/95) had ARFL+ARV7+, 23.1% (22/95) had ARFL+ARV7-, 23.1% (22/95) had ARFL-ARV7-, and 1.1% (1/95) had ARFL-ARV7+ CTCs. In 11.6% (11/95), no CTCs could be isolated. A total of 25/95 patients had another CTC analysis at progressive disease, of whom 48% (12/25) were ARV7+. Of those, 50% (6/12) were ARV7- and 50% (6/12) were ARV7+ at baseline. Our results show that mRNA analysis of isolated CTCs in mCRPC is feasible and allows for longitudinal endocrine agent response monitoring and hence could contribute to treatment optimization in mCRPC.

Indexed as

androgen receptorARV7circulating tumor cellsliquid biopsymCRPC

Identifiers

PMID31374981
PMCPMC6721786

What OpenQuestion holds

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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.