Evidence map›Paper›PMID 39432378›Full record

ArticleCurrent protocols2024

Using Spectral Flow Cytometry to Characterize Anti-Tumor Immunity in Orthotopic and Subcutaneous Mouse Models of Cancer.

Giampiero Valenzano, Shannon N Russell, Simei Go, Eric O'Neill, Keaton I Jones

Abstract read
In one paragraph

Article in Current protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Giampiero ValenzanoDepartment of Oncology, University of Oxford, Oxford, UK.ORCID https://orcid.org/0009-0000-4882-4066
Shannon N RussellDepartment of Oncology, University of Oxford, Oxford, UK.
Simei GoDepartment of Oncology, University of Oxford, Oxford, UK.
Eric O'NeillDepartment of Oncology, University of Oxford, Oxford, UK.
Keaton I JonesNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Funding

Cancer Research UK SEBCATP-2022/100011
6 · The paper itself

Abstract

Mouse models remain at the forefront of immuno-oncology research, providing invaluable insights into the complex interactions between the immune system and developing tumors. While several flow cytometry panels have been developed to study cancer immunity in mice, most are limited in their capacity to address the complexity of anti-cancer immune responses. For example, many of the panels developed to date focus on a restricted number of leukocyte populations (T cells or antigen-presenting cells), failing to include the multitude of other subsets that participate in anti-cancer immunity. In addition, these panels were developed using blood or splenic leukocytes. While the immune composition of the blood or spleen can provide information on systemic immune responses to cancer, it is in the tumor microenvironment (TME) that local immunity takes place. Therefore, we optimized this spectral flow cytometry panel to identify the chief cell types that take part in cancer immunity using immune cells from cancer tissue. We used pancreatic tumors implanted both orthotopically and subcutaneously to demonstrate the panel's flexibility and suitability in diverse mouse models. The panel was also validated in peripheral immune districts (the blood, spleen, and liver of tumor-bearing mice) to allow comparisons between local and systemic anti-tumor immunity. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Tumor induction-Orthotopic Alternate Protocol: Tumor induction-Subcutaneous Basic Protocol 2: Preparation of single-cell suspensions from the tumor, spleen, liver, and blood of tumor-bearing mice Basic Protocol 3: Staining single-cell suspensions from the tumor, spleen, liver, and blood of tumor-bearing mice.

Indexed as

Disease Models, AnimalFlow CytometryAnimalsCell Line, TumorMiceNeoplasmsPancreatic NeoplasmsSpleenTumor Microenvironmentcancerimmuno‐oncologymouse modelsspectral flow cytometrytumor microenvironment

Identifiers

PMID39432378
PMCPMC7617995

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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.