Evidence map›Paper›PMID 40402449›Full record

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

A Colony Formation-Based Assay to Evaluate Natural Killer Cell Antitumor Responses In Vitro.

Candelaria Aguilar-García, Alejandra Martínez-Pérez, Rocío Granda-Díaz, Christian Sordo-Bahamonde, Segundo Gonzalez

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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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Candelaria Aguilar-GarcíaDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain.
Alejandra Martínez-PérezDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain.
Rocío Granda-DíazDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain.
Christian Sordo-BahamondeDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain. sordochristian@uniovi.es.
Segundo GonzalezDepartment of Functional Biology, Immunology, Universidad de Oviedo, Oviedo, Spain. segundog@uniovi.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer (NK) cells exert a pivotal role in cancer pathology due to their ability to recognize and eliminate virus-infected, stressed, or malignant transformed cells. Although adaptive immunity recognizes cancer cells by detecting tumor-associated antigens, NK cells detect target cells in an antigen-specific independent manner, relying on a complex array of activating and inhibitory receptors. Despite their potential, NK cell-mediated antitumor activity faces challenges such as tumor resistance mechanisms and limited infiltration into tumor tissues. Herein, we describe a colony formation-based assay to evaluate NK cell-mediated tumor cytotoxicity in vitro, providing insights into NK cell responses and tumor cell resistance mechanisms, offering a valuable tool for studying and optimizing NK cell-based immunotherapy for cancer treatment. This method evaluates relative survival of tumor target cells to NK effector cells, and it can be complemented with flow cytometry analyses of NK cell immunophenotype or functional studies of soluble factors in supernatants, such as an Enzyme-Linked ImmunoSorbent Assay (ELISA). This allows the elucidation of molecules and signaling pathways that regulate NK cell anticancer activity.

Indexed as

Killer Cells, NaturalNeoplasmsCell Line, TumorCytotoxicity, ImmunologicEnzyme-Linked Immunosorbent AssayFlow CytometryHumansImmunophenotypingColonyCytotoxicityImmunotherapyNK cellsTumor

Identifiers

PMID40402449

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.