Evidence map›Paper›PMID 32005907›Full record

ArticleScientific reports2020

Circulating Tumor Cell Detection and Polyomavirus Status in Merkel Cell Carcinoma.

Magali Boyer, Laure Cayrefourcq, Françoise Garima, Vincent Foulongne, Olivier Dereure, Catherine Alix-Panabières

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

6 authors.

Magali BoyerLaboratory of Rare Human Circulating Cells, University Medical Centre of Montpellier, 34093, Montpellier, France.
Laure CayrefourcqLaboratory of Rare Human Circulating Cells, University Medical Centre of Montpellier, 34093, Montpellier, France.
Françoise GarimaLaboratory of Rare Human Circulating Cells, University Medical Centre of Montpellier, 34093, Montpellier, France.
Vincent FoulongnePathogenesis and Control of Chronic Infections, University of Montpellier, INSERM, EFS, University Medical Centre, 34090, Montpellier, France.
Olivier DereureDepartment of Dermatology, University Medical Centre of Montpellier and INSERM 1058 Pathogenesis and Control of Chronic Infections University of Montpellier, 34090, Montpellier, France.
Catherine Alix-PanabièresLaboratory of Rare Human Circulating Cells, University Medical Centre of Montpellier, 34093, Montpellier, France. c-panabieres@chu-montpellier.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of Merkel cell carcinoma (MCC), a rare and highly metastatic skin malignancy, has sharply increased in the last decade. Clinical biomarkers are urgently needed for MCC prognosis, treatment response monitoring, and early diagnosis of relapse. The clinical interest of circulating tumors cells (CTCs) has been validated in many solid cancers. The aim of this study was to compare CTC detection and characterization in blood samples of patients with MCC using the CellSearch System and the RosetteSep -DEPArray workflow, an innovative procedure to enrich, detect and isolate single CTCs. In preliminary experiments (using spiked MCC cell lines) both methods allowed detecting very few MCC cells. In blood samples from 19 patients with MCC at different stages, CellSearch detected MCC CTCs in 26% of patients, and the R-D workflow in 42% of patients. The detection of CTC-positive patients increased to 52% by the cumulative positivity rate of both methodologies. Moreover, Merkel cell polyomavirus DNA, involved in MCC oncogenesis, was detected in tumor biopsies, but not in all single CTCs from the same patient, reflecting the tumor heterogeneity. Our data demonstrate the possibility to detect, isolate and characterize CTCs in patients with MCC using two complementary approaches.

Indexed as

AgedBiomarkersCarcinoma, Merkel CellCell CountCell LineCell Line, TumorFemaleHumansMaleMerkel cell polyomavirusNeoplasm Recurrence, LocalNeoplastic Cells, CirculatingPrognosisSkinSkin NeoplasmsBiomarkers

Identifiers

PMID32005907
PMCPMC6994658

What OpenQuestion holds

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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.