Evidence map›Paper›PMID 34659879›Full record

ReviewAmerican journal of cancer research2021

Current methodologies to detect circulating tumor cells: a focus on ovarian cancer.

Silvia Lemma, Anna M Perrone, Pierandrea De Iaco, Giuseppe Gasparre, Ivana Kurelac

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2021. 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.

  1. Article
  2. Review
  3. Article
  4. Liquid Biopsy in the Clinical Management of Cancers.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. 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

5 authors.

Silvia LemmaUnit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), University of Bologna Via Massarenti 9, 40138 Bologna, Italy.
Anna M PerroneStudy and Research Center on Gynecological Neoplasias, Department of Medical and Surgical Sciences (DIMEC), University of Bologna Via Massarenti 9, 40138 Bologna, Italy.
Pierandrea De IacoStudy and Research Center on Gynecological Neoplasias, Department of Medical and Surgical Sciences (DIMEC), University of Bologna Via Massarenti 9, 40138 Bologna, Italy.
Giuseppe GasparreUnit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), University of Bologna Via Massarenti 9, 40138 Bologna, Italy.
Ivana KurelacUnit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), University of Bologna Via Massarenti 9, 40138 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of circulating tumor cells (CTC) in liquid biopsies opens a window of opportunities for the optimization of clinical management of oncologic patients. In ovarian cancer (OC), which involves atypical routes of metastatic spread, CTC analyses may also offer novel insights about the mechanisms behind malignant progression of the disease. However, current methodologies struggle to precisely define CTC number in the peripheral blood of OC patients, and the isolation of viable cells for further characterization is still challenging. The biggest limitation is the lack of methodological standardization for OC CTC detection, preventing comprehensive definition of their clinical potential required for the transfer to practice. Here we describe and compare methods for CTC analysis that have been implemented for OC thus far, discussing pros, cons and improvements needed. We identify biophysical separation approaches as optimal for CTC enrichment. On the other hand, the identification of specific tumor antigens or gene transcripts, despite displaying drawbacks related to tumor heterogeneity, still remains the best approach for OC CTC detection.

Indexed as

Circulating tumor cellsliquid biopsymethodsovarian cancer

Identifiers

PMID34659879
PMCPMC8493391

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.