Evidence map›Paper›PMID 34359649›Full record

ArticleCancers2021

Image-Based Identification and Genomic Analysis of Single Circulating Tumor Cells in High Grade Serous Ovarian Cancer Patients.

Carolin Salmon, Janina Levermann, Rui P L Neves, Sven-Thorsten Liffers, Jan Dominik Kuhlmann, Paul Buderath, Rainer Kimmig, Sabine Kasimir-Bauer

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Combinatorial Power of cfDNA, CTCs and EVs in Oncology.Diagnostics (Basel, Switzerland) · 2022
    Review
  6. 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

8 authors at 3 institutions in 1 country.

Carolin SalmonDepartment of Gynecology and Obstetrics, University Hospital Essen, 45147 Essen, Germany.ORCID 0000-0002-9532-1397
Janina LevermannDepartment of Gynecology and Obstetrics, University Hospital Essen, 45147 Essen, Germany.
Rui P L NevesDepartment of General, Visceral and Pediatric Surgery, University Hospital and Medical Faculty of the Heinrich-Heine University Düsseldorf, 40225 Düsseldorf, Germany.ORCID 0000-0002-4515-739X
Sven-Thorsten LiffersWest German Cancer Center, Bridge Institute of Experimental Tumor Therapy, University Medicine Essen, 45147 Essen, Germany.
Jan Dominik KuhlmannDepartment of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Paul BuderathDepartment of Gynecology and Obstetrics, University Hospital Essen, 45147 Essen, Germany.
Rainer KimmigDepartment of Gynecology and Obstetrics, University Hospital Essen, 45147 Essen, Germany.
Sabine Kasimir-BauerDepartment of Gynecology and Obstetrics, University Hospital Essen, 45147 Essen, Germany.ORCID 0000-0002-8081-1799
Essen University Hospital · DEGerman Cancer Research Center · DEDüsseldorf University Hospital · DE

Funding

Deutsche Krebshilfe 70113616
6 · The paper itself

Abstract

In Ovarian Cancer (OC), the analysis of single circulating tumor cells (sCTCs) might help to investigate genetic tumor evolution during the course of treatment. Since common CTC identification features failed to reliably detect CTCs in OC, we here present a workflow for their detection and genomic analysis. Blood of 13 high-grade serous primary OC patients was analyzed, using negative immunomagnetic enrichment, followed by immunofluorescence staining and imaging for Hoechst, ERCC1, CD45, CD11b and cytokeratin (CK) and sCTC sorting with the DEPArray

Indexed as

copy number variationsliquid biopsyovarian cancersingle circulating tumor cell

Identifiers

PMID34359649
PMCPMC8345187
OpenAlexW3185120201

What OpenQuestion holds

Textmetadata
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.