Evidence map›Paper›PMID 31700674›Full record

ArticleMicrosystems & nanoengineering2019

Microfluidics-assisted multiplexed biomarker detection for in situ mapping of immune cells in tumor sections.

Daniel Migliozzi, Benjamin Pelz, Diego G Dupouy, Anne-Laure Leblond, Alex Soltermann, Martin A M Gijs

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
  2. Differences in T-cell Densities and Neighborhood Patterns in Human Colorectal Adenomas and Sessile Serrated Lesions.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Toward Computationally Complete Spatial Omics.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Spatial-Omics Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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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.

Daniel Migliozzi *1Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, CH Switzerland.ORCID 0000-0003-4401-4925
Benjamin Pelz *1Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, CH Switzerland.
Diego G DupouyLunaphore Technologies SA, EPFL Innovation Park, Building C, 1015 Lausanne, CH Switzerland.
Anne-Laure Leblond3Universitätsspital Zürich, Schmelzbergstrasse 12, 8091 Zürich, CH Switzerland.
Alex Soltermann3Universitätsspital Zürich, Schmelzbergstrasse 12, 8091 Zürich, CH Switzerland.
Martin A M Gijs1Laboratory of Microsystems, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, CH Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the close interaction between tumors and the immune system, immunotherapies are nowadays considered as the most promising treatment against cancer. In order to define the diagnosis and the subsequent therapy, crucial information about the immune cells at the tumor site is needed. Indeed, different types or activation status of cells may be indicative for specific and personalized treatments. Here, we present a quantitative method to identify ten different immuno-markers in the same tumor cut section, thereby saving precious samples and enabling correlative analysis on several cell families and their activation status in a tumor microenvironment context. We designed and fabricated a microfluidic chip with optimal thermomechanical and optical properties for fast delivery of reagents on tissue slides and for fully automatic imaging by integration with an optical microscope. The multiplexing capability of the system is enabled by an optimized cyclic immunofluorescence protocol, with which we demonstrated quantitative sequential immunostaining of up to ten biomarkers on the same tissue section. Furthermore, we developed high-quality image-processing algorithms to map each cell in the entire tissue. As proof-of-concept analyses, we identified coexpression and colocalization patterns of biomarkers to classify the immune cells and their activation status. Thanks to the quantitativeness and the automation of both the experimental and analytical methods, we believe that this multiplexing approach will meet the increasing clinical need of personalized diagnostics and therapy in cancer pathology.

Indexed as

BiosensorsEngineeringMicrofluidics

Identifiers

PMID31700674
PMCPMC6831597

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.