Evidence map›Paper›PMID 38710724›Full record

ArticleScientific reports2024

T-reg transcriptomic signatures identify response to check-point inhibitors.

María Del Mar Noblejas-López, Elena García-Gil, Pedro Pérez-Segura, Atanasio Pandiella, Balázs Győrffy, Alberto Ocaña

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

6 authors.

María Del Mar Noblejas-LópezTranslational Research Unit, Translational Oncology Laboratory, Albacete University Hospital, 02008, Albacete, Spain.
Elena García-GilTranslational Research Unit, Translational Oncology Laboratory, Albacete University Hospital, 02008, Albacete, Spain.
Pedro Pérez-SeguraMedical Oncology Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), 28040, Madrid, Spain.
Atanasio PandiellaInstituto de Biología Molecular y Celular del Cáncer, CSIC, IBSAL and CIBERONC, 37007, Salamanca, Spain.
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, Tűzoltó U. 7-9, Budapest, 1094, Hungary.
Alberto OcañaExperimental Therapeutics Unit, Medical Oncology Department, Hospital Clínico Universitario San Carlos (HCSC), Instituto de Investigación Sanitaria (IdISSC) and CIBERONC and Fundación Jiménez Díaz, Unidad START Madrid, Calle Del Prof Martín Lagos, S/N, 28040, Madrid, Spain. alberto.ocana@salud.madrid.org.

Funding

Innovációs és Technológiai Minisztérium 2020-1.1.6-JÖVO˝ -2021-00013Instituto de Salud Carlos III PI19/00808Junta de Castilla y León CSI146P20Ministerio de Ciencia e Innovación PID2020-115605RB-I00Ministerio de Ciencia, Innovación y Universidades FPU18/01319
6 · The paper itself

Abstract

Regulatory T cells (Tregs) is a subtype of CD4+ T cells that produce an inhibitory action against effector cells. In the present work we interrogated genomic datasets to explore the transcriptomic profile of breast tumors with high expression of Tregs. Only 0.5% of the total transcriptome correlated with the presence of Tregs and only four transcripts, BIRC6, MAP3K2, USP4 and SMG1, were commonly shared among the different breast cancer subtypes. The combination of these genes predicted favorable outcome, and better prognosis in patients treated with checkpoint inhibitors. Twelve up-regulated genes coded for proteins expressed at the cell membrane that included functions related to neutrophil activation and regulation of macrophages. A positive association between MSR1 and CD80 with macrophages in basal-like tumors and between OLR1, ABCA1, ITGAV, CLEC5A and CD80 and macrophages in HER2 positive tumors was observed. Expression of some of the identified genes correlated with favorable outcome and response to checkpoint inhibitors: MSR1, CD80, OLR1, ABCA1, TMEM245, and ATP13A3 predicted outcome to anti PD(L)1 therapies, and MSR1, CD80, OLR1, ANO6, ABCA1, TMEM245, and ATP13A3 to anti CTLA4 therapies, including a subgroup of melanoma treated patients. In this article we provide evidence of genes strongly associated with the presence of Tregs that modulates the response to check point inhibitors.

Indexed as

Breast NeoplasmsT-Lymphocytes, RegulatoryTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsPrognosisImmune Checkpoint InhibitorsAnti-CTLA4Anti-PD1Breast cancerRegulatory T cellsTranscriptomic analyses

Identifiers

PMID38710724
PMCPMC11074113

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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.