Evidence map›Paper›PMID 26860296›Full record

ArticleEJNMMI research2016

Optical imaging of pre-invasive breast cancer with a combination of VHHs targeting CAIX and HER2 increases contrast and facilitates tumour characterization.

Marta M Kijanka, Aram S A van Brussel, Elsken van der Wall, Willem P T M Mali, Paul J van Diest, Paul M P van Bergen En Henegouwen, Sabrina Oliveira

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. NANOBODIES®: A Review of Diagnostic and Therapeutic ApplicationsInternational journal of molecular sciences · 2023
    Review
  5. Review
  6. Article
  7. Review
  8. Nanobodies asRSC chemical biology · 2021
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  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

7 authors at 2 institutions in 1 country.

Marta M KijankaDivision of Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands. Kijanka.Marta@gmail.com.
Aram S A van BrusselDivision of Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands. AramvBrussel@hotmail.com.
Elsken van der WallDivision of Internal Medicine and Dermatology, University Medical Center Utrecht, Utrecht, The Netherlands. E.vanderWall@umcutrecht.nl.
Willem P T M MaliDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands. W.Mali@umcutrecht.nl.
Paul J van DiestDepartment of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands. P.J.vanDiest@umcutrecht.nl.
Paul M P van Bergen En HenegouwenDivision of Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands. P.vanBergen@uu.nl.
Sabrina OliveiraDivision of Cell Biology, Department of Biology, Science Faculty, Utrecht University, Utrecht, The Netherlands. s.oliveira@uu.nl.ORCID http://orcid.org/0000-0002-6011-2122
Utrecht University · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptical molecular imaging is an emerging novel technology with applications in the diagnosis of cancer and assistance in image-guided surgery. A high tumour-to-background (T/B) ratio is crucial for successful imaging, which strongly depends on tumour-specific probes that rapidly accumulate in the tumour, while non-bound probes are rapidly cleared. Here, using pre-invasive breast cancer as a model, we investigate whether the use of combinations of probes with different target specificities results in higher T/B ratios and whether dual-spectral imaging leads to improvements in tumour characterization.

methodsWe performed optical molecular imaging of an orthotopic breast cancer model mimicking ductal carcinoma in situ (DCIS). A combination of carbonic anhydrase IX (CAIX)- and human epidermal growth factor receptor 2 (HER2)-specific variable domains of the heavy chain from heavy-chain antibodies (VHHs) was conjugated either to the same fluorophore (IRDye800CW) to evaluate T/B ratios or to different fluorophores (IRDye800CW, IRDye680RD or IRDye700DX) to analyse the expression of CAIX and HER2 simultaneously through dual-fluorescence detection. These experiments were performed non-invasively in vivo, in a mimicked intra-operative setting, and ex vivo on tumour sections.

resultsApplication of the CAIX- and HER2-specific VHH combination resulted in an increase of the T/B ratio, as compared to T/B ratios obtained from each of these single VHHs together with an irrelevant VHH. This dual tumour marker-specific VHH combination also enabled the detection of small metastases in the lung. Furthermore, dual-spectral imaging enabled the assessment of the expression status of both CAIX and HER2 in a mimicked intra-operative setting, as well as on tumour sections, which was confirmed by immunohistochemistry.

conclusionsThese results establish the feasibility of the use of VHH 'cocktails' to increase T/B ratios and improve early detection of heterogeneous tumours and the use of multispectral molecular imaging to facilitate the assessment of the target expression status of tumours and metastases, both invasive or non-invasively.

Indexed as

Breast cancerCAIXFluorescence pathologyHER2Nanobody or VHHOptical molecular imaging

Identifiers

PMID26860296
PMCPMC4747965
OpenAlexW2267000627

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.