Evidence map›Paper›PMID 39424733›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Multiplexed Immunophenotyping of Lymphoma Tissue Samples.

Christina Schniederjohann, Peter-Martin Bruch, Sascha Dietrich, Frank Neumann

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Christina SchniederjohannDepartment of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany.
Peter-Martin BruchDepartment of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany.
Sascha DietrichDepartment of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany. Sascha.Dietrich@med.uni-duesseldorf.de.
Frank NeumannHeinrich Heine University, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-plex imaging techniques enable the detection and quantification of a multitude of markers in tissue biopsies at single-cell or near-single-cell resolution. In lymphoma, this can facilitate the detection and characterization of cellular phenotypes and interactions, describing both tumor and microenvironmental cells. In combination with other techniques, high-plex imaging allows the investigation of biological mechanisms and clinically relevant biomarkers. CO-Detection by IndEXing (CODEX), one of such techniques, is based on antibodies labeled with unique DNA oligonucleotides that can be visualized by complementary reporter oligonucleotides coupled to a fluorophore. Here, we provide an overview of the key steps of a CODEX-based project, including (1) antibody panel design, (2) cohort selection, (3) staining and imaging, (4) data analysis. By sharing our CODEX protocol and our experience with FFPE tissue samples, we aim to encourage wider use of this powerful technique in lymphoma research and improve insight into cellular composition and spatial dynamics for improved diagnostics and therapy.

Indexed as

ImmunophenotypingLymphomaBiomarkers, TumorHumansParaffin EmbeddingBiomarkers, TumorCO-Detection by IndEXing (CODEX)DNA oligonucleotidesMicroenvironmentMultiplexed immunofluorescenceSpatial immunophenotypingTumor subpopulations

Identifiers

PMID39424733

What OpenQuestion holds

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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.