Evidence map›Paper›PMID 32653834›Full record

ArticleNeoplasia (New York, N.Y.)2020

Deep tissue volumetric optoacoustic tracking of individual circulating tumor cells in an intracardially perfused mouse model.

Xosé Luís Deán-Ben, Ina Weidenfeld, Oleksiy Degtyaruk, Vasilis Ntziachristos, Andre C Stiel, Daniel Razansky

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Frontiers in bioengineering and biotechnology · 2022
    Article
  9. 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

6 authors at 4 institutions in 2 countries.

Xosé Luís Deán-BenInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich and ETH Zurich, Switzerland; Institute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Germany. Electronic address: xl.deanben@pharma.uzh.ch.
Ina WeidenfeldInstitute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Germany.
Oleksiy DegtyarukInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich and ETH Zurich, Switzerland; Institute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Germany.
Vasilis NtziachristosInstitute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Germany.
Andre C StielInstitute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Germany.
Daniel RazanskyInstitute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich and ETH Zurich, Switzerland; Institute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Germany.
Helmholtz Zentrum München · DETechnical University of Munich · DEInstitute for Biomedical Engineering · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widespread metastasis is the major cause of death from melanoma and other types of cancer. At present, the dynamic aspects of the metastatic cascade remain enigmatic. The feasibility to track circulating melanoma cells deep within living intact organisms can greatly impact our knowledge on tumor metastasis, but existing imaging approaches lack the sensitivity, spatio-temporal resolution or penetration depth to capture flowing tumor cells over large fields of view within optically-opaque biological tissues. Vast progress with the development of optoacoustic tomography technologies has recently enabled two- and three-dimensional imaging at unprecedented frame rates in the order of hundreds of Hertz, effectively mapping up to a million image voxels within a single volumetric snapshot. Herein, we employ volumetric optoacoustic tomography for real-time visualization of passage and trapping of individual B16 melanoma cells in the whole mouse brain. Detection of individual circulating melanoma cells was facilitated by substituting blood with an artificial cerebrospinal fluid that removes the strong absorption background in the optoacoustic images. The approach can provide new opportunities for studying trafficking and accumulation of metastatic melanoma cells in different organs.

Indexed as

AnimalsApoptosisBrainCell ProliferationHeartImaging, Three-DimensionalMelanoma, ExperimentalMiceNeoplastic Cells, CirculatingPhotoacoustic TechniquesTomography, X-Ray ComputedTumor Cells, CulturedCell trackingCirculating tumor cellsMetastasisOptoacoustic imagingSingle-cell imaging

Identifiers

PMID32653834
PMCPMC7355386
OpenAlexW3041848480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.