Evidence map›Paper›PMID 32373222›Full record

ReviewTheranostics2020

Graphene and other 2D materials: a multidisciplinary analysis to uncover the hidden potential as cancer theranostics.

Laura Fusco, Arianna Gazzi, Guotao Peng, Yuyoung Shin, Sandra Vranic, Davide Bedognetti, Flavia Vitale, Acelya Yilmazer, Xinliang Feng, Bengt Fadeel and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.3field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 131 citations in OpenAlex.

  1. Review
  2. Article
  3. PEGylated Cu-doped WSMicrosystems & nanoengineering · 2026
    Article
  4. Article
  5. Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Gamma rays impact on 2D-MoSScientific reports · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

12 authors at 7 institutions in 6 countries.

Laura FuscoDepartment of Chemical and Pharmaceutical Sciences, University of Trieste, Trieste, Italy.
Arianna GazziDepartment of Chemical and Pharmaceutical Sciences, University of Trieste, Trieste, Italy.
Guotao PengInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Yuyoung ShinDepartment of Chemistry, University of Manchester, Manchester, UK.
Sandra VranicNanomedicine Lab, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Davide BedognettiCancer Program, Sidra Medicine, Doha, Qatar.
Flavia VitaleDepartment of Neurology, Bioengineering, Physical Medicine & Rehabilitation, Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, USA; Center for Neurotrauma, Neurodegeneration, and Restoration, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, USA.
Acelya YilmazerDepartment of Biomedical Engineering, Ankara University, Ankara, Turkey.
Xinliang FengFaculty of Chemistry and Food Chemistry, School of Science, Technische Universität Dresden, Dresden, Germany.
Bengt FadeelInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Cinzia CasiraghiDepartment of Chemistry, University of Manchester, Manchester, UK.
Lucia Gemma DeloguFondazione Istituto di Ricerca Pediatrica, Città della Speranza, Padua, Italy.
University of Manchester · GBKarolinska Institutet · SEUniversity of Trieste · ITAnkara University · TRCittà della Speranza Foundation · ITQatar Airways (Qatar) · QATU Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer represents one of the main causes of death in the world; hence the development of more specific approaches for its diagnosis and treatment is urgently needed in clinical practice. Here we aim at providing a comprehensive review on the use of 2-dimensional materials (2DMs) in cancer theranostics. In particular, we focus on graphene-related materials (GRMs), graphene hybrids, and graphdiyne (GDY), as well as other emerging 2DMs, such as MXene, tungsten disulfide (WS2), molybdenum disulfide (MoS2), hexagonal boron nitride (h-BN), black phosphorus (BP), silicene, antimonene (AM), germanene, biotite (black mica), metal organic frameworks (MOFs), and others. The results reported in the scientific literature in the last ten years (>200 papers) are dissected here with respect to the wide variety of combinations of imaging methodologies and therapeutic approaches, including drug/gene delivery, photothermal/photodynamic therapy, sonodynamic therapy, and immunotherapy. We provide a unique multidisciplinary approach in discussing the literature, which also includes a detailed section on the characterization methods used to analyze the material properties, highlighting the merits and limitations of the different approaches. The aim of this review is to show the strong potential of 2DMs for use as cancer theranostics, as well as to highlight issues that prevent the clinical translation of these materials. Overall, we hope to shed light on the hidden potential of the vast panorama of new and emerging 2DMs as clinical cancer theranostics.

Indexed as

Drug Delivery SystemsGraphiteHumansNeoplasmsPhotochemotherapySurface PropertiesTheranostic NanomedicineGraphite2D materialscancer theranosticsfuture perspectivesgraphenenanomedicine.

Identifiers

PMID32373222
PMCPMC7196289
OpenAlexW2999296109

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.