Evidence map›Paper›PMID 39502689›Full record

ArticleFrontiers in immunology2024

Peripheral immune profiling of soft tissue sarcoma: perspectives for disease monitoring.

Jani Sofia Almeida, Luana Madalena Sousa, Patrícia Couceiro, Tânia Fortes Andrade, Vera Alves, António Martinho, Joana Rodrigues, Ruben Fonseca, Paulo Freitas-Tavares, Manuel Santos-Rosa and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. 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. Review
  2. Article
  3. Review
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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

12 authors.

Jani Sofia AlmeidaCenter for Neurosciences and Cell Biology (CNC), Laboratory of Immunology and Oncology, University of Coimbra, Coimbra, Portugal.
Luana Madalena SousaCenter for Neurosciences and Cell Biology (CNC), Laboratory of Immunology and Oncology, University of Coimbra, Coimbra, Portugal.
Patrícia CouceiroCenter for Neurosciences and Cell Biology (CNC), Laboratory of Immunology and Oncology, University of Coimbra, Coimbra, Portugal.
Tânia Fortes AndradeCenter for Neurosciences and Cell Biology (CNC), Laboratory of Immunology and Oncology, University of Coimbra, Coimbra, Portugal.
Vera AlvesFaculty of Medicine (FMUC), Institute of Immunology, University of Coimbra, Coimbra, Portugal.
António MartinhoPortuguese Institute for Blood and Transplantation (IPST), Blood and Transplantation Center of Coimbra, Coimbra, Portugal.
Joana RodriguesClinical and Academic Centre of Coimbra (CACC), Coimbra, Portugal.
Ruben FonsecaClinical and Academic Centre of Coimbra (CACC), Coimbra, Portugal.
Paulo Freitas-TavaresClinical and Academic Centre of Coimbra (CACC), Coimbra, Portugal.
Manuel Santos-RosaFaculty of Medicine (FMUC), Institute of Immunology, University of Coimbra, Coimbra, Portugal.
José Manuel CasanovaCenter for Investigation in Environment, Genetics and Oncobiology (CIMAGO), University of Coimbra, Coimbra, Portugal.
Paulo Rodrigues-SantosCenter for Neurosciences and Cell Biology (CNC), Laboratory of Immunology and Oncology, University of Coimbra, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the tumor microenvironment and surrounding lymph nodes is the main focus of current immunological research on soft tissue sarcomas (STS). However, due to the restricted opportunity to examine tumor samples, alternative approaches are required to evaluate immune responses in non-surgical patients. Therefore, the purpose of this study was to evaluate the peripheral immune profile of STS patients, characterize patients accordingly and explore the impact of peripheral immunotypes on patient survival. Blood samples were collected from 55 STS patients and age-matched healthy donors (HD) controls. Deep immunophenotyping and gene expression analysis of whole blood was analyzed using multiparametric flow cytometry and real-time RT-qPCR, respectively. Using xMAP technology, proteomic analysis was also carried out on plasma samples. Unsupervised clustering analysis was used to classify patients based on their immune profiles to further analyze the impact of peripheral immunotypes on patient survival. Significant differences were found between STS patients and HD controls. It was found a contraction of B cells and CD4 T cells compartment, along with decreased expression levels of ICOSLG and CD40LG; a major contribution of suppressor factors, as increased frequency of M-MDSC and memory Tregs, increased expression levels of ARG1, and increased plasma levels of IL-10, soluble VISTA and soluble TIMD-4; and a compromised cytotoxic potential associated with NK and CD8 T cells, namely decreased frequency of CD56

Indexed as

SarcomaTumor MicroenvironmentAdultAgedBiomarkers, TumorFemaleHumansImmunophenotypingMaleMiddle AgedProteomicsBiomarkers, Tumorchemokinescytokinesgene expression profilinggrowth factorsimmune checkpointsimmunophenotypingsoft tissue sarcoma

Identifiers

PMID39502689
PMCPMC11536262

What Socratic 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 Socratic graph.