Evidence map›Paper›PMID 40598271›Full record

ReviewJournal of translational medicine2025

CyTOF as a suitable tool for stratification and monitoring of cancer patients.

Barbara Seliger, Chiara Massa

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

2 authors.

Barbara SeligerMedical Faculty, Martin-Luther-University Halle-Wittenberg, Magdeburger Str. 2, 06112, Halle (Saale), Germany. Barbara.seliger@uk-halle.de.ORCID 0000-0002-5544-4958
Chiara MassaInstitute of Translational Immunology, Brandenburg Medical School "Theodor Fontane", Hochstr. 29, 14770, Brandenburg an der Havel, Germany.

Funding

Deutsche Forschungsgemeinschaft 109500/54-1 FUGG)Investitionsbank Landesbank ZS/2024/01/183830
6 · The paper itself

Abstract

Despite the recent implementation of immunotherapies into clinical practice of various tumor types, the immunobiology of tumors and in particular the role and clinical relevance of the different immune cell populations and their function still remained unclear. Therefore, an in depth analysis of the complex landscape of immune cell populations and their soluble mediators in the peripheral blood and tumor microenvironment of cancer patients is urgently needed. Mass cytometry has revolutionized the immune phenotyping in particular in settings where simultaneous breadth and detailed characterization of the phenotype and function of immune cell (sub)populations with limited sample size is required, such as monitoring of patients' response to immunotherapies. Since mass cytometry is a powerful multiplex approach to decipher tumor intrinsic and tumor extrinsic effects of tumor immunotherapies, this review summarizes the use of this technology for determination of the frequency and functional status of immune cell populations within the tumor and in the blood leading to the identification of intratumoral/peripheral immune signatures that might serve as biomarkers (i) for treatment response and/or failure, (ii) for the stratification of tumor patients or (iii) for the identification of novel therapeutic targets.

Indexed as

Flow CytometryNeoplasmsHumansImmunotherapyMonitoring, PhysiologicTumor MicroenvironmentBiomarkerBloodCyTOFImmunomonitoringImmunotherapiesMass cytometryTumorTumor tissue

Identifiers

PMID40598271
PMCPMC12220477

What OpenQuestion holds

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Registered trials

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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.