Evidence map›Paper›PMID 34335980›Full record

ReviewTheranostics2021

Emerging role of circulating tumor cells in immunotherapy.

Alexey Rzhevskiy, Alina Kapitannikova, Polina Malinina, Arthur Volovetsky, Hamidreza Aboulkheyr Es, Arutha Kulasinghe, Jean Paul Thiery, Anna Maslennikova, Andrei V Zvyagin, Majid Ebrahimi Warkiani

Abstract readReview
In one paragraph

Review in Theranostics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Targeted Drug Nanodelivery and Immunotherapy for Combating Tumor Resistance.Combinatorial chemistry & high throughput screening · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Palladium-103 (Theranostics · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

10 authors.

Alexey RzhevskiyARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW 2109, Australia.
Alina KapitannikovaInstitute of Molecular Medicine, Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Polina MalininaPrivolzhsky Research Medical University, 10/1, Minini Pozharsky Square, Nizhny Novgorod 603005, Russia.
Arthur VolovetskyInstitute of Molecular Medicine, Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Hamidreza Aboulkheyr EsSchool of Biomedical Engineering, University of Technology Sydney, 2007 Sydney, Australia.
Arutha KulasingheQueensland University of Technology, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Faculty of Health, Woolloongabba, QLD 4102, Australia.
Jean Paul ThieryInstitute of Molecular Medicine, Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Anna MaslennikovaLobachevsky State University of Nizhny Novgorod, Gagarina Avenue 23, Nizhny Novgorod 603950, Russia.
Andrei V ZvyaginARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, Sydney, NSW 2109, Australia.
Majid Ebrahimi WarkianiInstitute of Molecular Medicine, Sechenov First Moscow State Medical University, 119991 Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last few years, immunotherapy, in particular, immune checkpoint inhibitor therapy, has revolutionized the treatment of several types of cancer. At the same time, the uptake in clinical oncology has been slow owing to the high cost of treatment, associated toxicity profiles and variability of the response to treatment between patients. In response, personalized approaches based on predictive biomarkers have emerged as new tools for patient stratification to achieve effective immunotherapy. Recently, the enumeration and molecular analysis of circulating tumor cells (CTCs) have been highlighted as prognostic biomarkers for the management of cancer patients during chemotherapy and for targeted therapy in a personalized manner. The expression of immune checkpoints on CTCs has been reported in a number of solid tumor types and has provided new insight into cancer immunotherapy management. In this review, we discuss recent advances in the identification of immune checkpoints using CTCs and shed light on the potential applications of CTCs towards the identification of predictive biomarkers for immunotherapy.

Indexed as

Biomarkers, PharmacologicalBiomarkers, TumorHumansImmunologic FactorsImmunotherapyNeoplasmsNeoplastic Cells, CirculatingPrecision MedicinePrognosisBiomarkers, PharmacologicalBiomarkers, TumorImmunologic Factorscancercirculating tumor cellsimmune checkpoint inhibitorsImmunotherapypersonalized medicine

Identifiers

PMID34335980
PMCPMC8315079

What OpenQuestion holds

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LicenceCC BY
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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.