Evidence map›Paper›PMID 36385555›Full record

ReviewBritish journal of cancer2023

Large tumour-derived extracellular vesicles as prognostic indicators of metastatic cancer patient survival.

Deborah C I Goberdhan

Open access · greenAbstract readReview
In one paragraph

Review in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Connecting the dots: (RANKLTranslational lung cancer research · 2025
    Article
  2. Review
  3. Article
  4. Review
  5. Circulating tumor cellsTranslational breast cancer research : a journal focusing on translational research in breast cancer · 2024
    Review
  6. Article
  7. 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

1 author at 1 institution in 1 country.

Deborah C I GoberdhanDepartment of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford, OX1 3QX, UK. deborah.goberdhan@dpag.ox.ac.uk.ORCID http://orcid.org/0000-0003-0645-6714
University of Oxford · GB

Funding

Cancer Research UK (CRUK) C19591/A19076)Cancer Research UK (CRUK) C19591/A28123RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R004862/1
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are released by all cells and produced at particularly high levels by many cancer cells, often inducing pro-tumorigenic effects. Since these cancer EVs carry tumour proteins and RNAs, they can potentially be used at biomarkers. The heterogeneity of surface markers and cargos carried by EVs, however, presents some challenges to developing such approaches. Nanou et al. [1] found that automated counting of large tumour-derived EVs (tdEVs) performed at least as effectively as counting circulating tumour-derived cells (CTCs) and with higher sensitivity, in distinguishing the survival of patients with castration-resistant prostate cancer (CRPC), metastatic colorectal cancer (mCRC) and metastatic breast cancer (MBC), but not for non-small cell lung cancer (NSCLC). Subsequent work has suggested that these tdEVs may also be used to assess tumour subtype and that the number of large EVs produced by endothelial cells can also be increased in cancer patients. While by itself, the tdEV imaging approach used by Nanou et al. [1] is not specific enough to predict the survival of individual patients, in combination with other EV-associated assays, this test, perhaps enhanced through the inclusion of other tumour antigens, could prove invaluable in predicting cancer survival and other outcomes in the clinic.

Indexed as

Carcinoma, Non-Small-Cell LungExtracellular VesiclesLung NeoplasmsNeoplasms, Second PrimaryNeoplastic Cells, CirculatingEndothelial CellsHumansMalePrognosis

Identifiers

PMID36385555
PMCPMC9938279
OpenAlexW4309244672

What OpenQuestion holds

Textmetadata
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.