Evidence map›Paper›PMID 30177639›Full record

ReviewDiagnostics (Basel, Switzerland)2018

Circulating Tumor Cells for the Management of Renal Cell Carcinoma.

Lucile Broncy, Patrizia Paterlini-Bréchot

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2018. 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
0.8field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Unique Cohorts of Salivary Gland Cancer Cells as anJournal of maxillofacial and oral surgery · 2024
    Article
  3. Article
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Lucile BroncyINSERM Unit 1151, Faculté de Médecine, Université Paris Descartes, 75014 Paris, France. lucile.broncy@rarecells.com.
Patrizia Paterlini-BréchotINSERM Unit 1151, Faculté de Médecine, Université Paris Descartes, 75014 Paris, France. patrizia.paterlini@inserm.fr.
Université Paris Cité · FR

Funding

Fondation Bettencourt-Schueller -Fondation Lefort-Beaumont de l'Institut de France -Fondation pour la Recherche Médicale -Institut National de la Santé et de la Recherche Médicale -Université Paris Descartes -
6 · The paper itself

Abstract

Renal cell carcinoma is a highly malignant cancer that would benefit from non-invasive innovative markers providing early diagnosis and recurrence detection. Circulating tumor cells are a particularly promising marker of tumor invasion that could be used to improve the management of patients with RCC. However, the extensive genetic and immunophenotypic heterogeneity of cells from RCC and their trend to transition to the mesenchymal phenotype when they circulate in blood constitute a challenge for their sensitive and specific detection. This review analyzes published studies targeting CTC in patients with RCC, in the context of the biological, pathological, and molecular complexity of this particular cancer. Although further analytical and clinical studies are needed to pinpoint the most suitable approach for highly sensitive CTC detection in RCC patients, it is clear that this field can bring a relevant guide to clinicians and help to RCC patients. Furthermore, as described, a particular subtype of RCC-the ccRCC-can be used as a model to study the relationship between cytomorphological and genetic cellular markers of malignancy, an important issue for the study of CTC from any type of solid cancer.

Indexed as

circulating cancer cells (CCC)circulating tumor cells (CTC)clear cell renal cell carcinoma (ccRCC)Isolation by Size of Tumor cells (ISET)liquid biopsy

Identifiers

PMID30177639
PMCPMC6164661
OpenAlexW2889253167

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.