Evidence map›Paper›PMID 39635522›Full record

ReviewFrontiers in immunology2024

Immunome profiling in prostate cancer: a guide for clinicians.

Luis San-Jose Manso, Arantzazu Alfranca, Ignacio Moreno-Pérez, María Ruiz-Vico, Clara Velasco, Patricia Toquero, María Pacheco, Almudena Zapatero, Diego Aldave, Guillermo Celada and 7 more

Abstract readReview
In one paragraph

Review 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

17 authors.

Luis San-Jose MansoUrology Department, Hospital Universitario La Princesa, Madrid, Spain.
Arantzazu AlfrancaImmunology Department, Hospital Universitario La Princesa, Madrid, Spain.
Ignacio Moreno-PérezMedical Oncology Department, Hospital Universitario Clínico San Carlos, Madrid, Spain.
María Ruiz-VicoMedical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
Clara VelascoUrology Department, Hospital Universitario La Princesa, Madrid, Spain.
Patricia ToqueroPersonalized Precision Medicine Chair, Universidad Autónoma de Madrid, Madrid, Spain.
María PachecoGU Translational Research Unit, Instituto de Investigación Sanitaria de la Princesa, Madrid, Spain.
Almudena ZapateroRadiation Oncology Department, Hospital Universitario La Princesa, Madrid, Spain.
Diego AldaveRadiation Oncology Department, Hospital Universitario La Princesa, Madrid, Spain.
Guillermo CeladaUrology Department, Hospital Universitario La Princesa, Madrid, Spain.
Eduardo AlbersUrology Department, Hospital Universitario La Princesa, Madrid, Spain.
María-Dolores Fenor de la MazaMedical Oncology Department, Clínica Universitaria de Navarra, Madrid, Spain.
Jorge GarcíaBiocomputing Unit, Hospital Niño Jesús, Instituto de Investigación Sanitaria de la Princesa, Madrid, Spain.
Elena CastroMedical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
David OlmosMedical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
Ramón ColomerPersonalized Precision Medicine Chair, Universidad Autónoma de Madrid, Madrid, Spain.
Nuria Romero-LaordenPersonalized Precision Medicine Chair, Universidad Autónoma de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor immune microenvironment (TIME) plays a key role to understand how tumors respond to prostate cancer (PC) therapies and potential mechanisms of resistance. Previous research has suggested that specific genomic aberrations, such as microsatellite instability (MSI) or CDK12 bi-allelic loss can allow PC patients more likely to respond to immune checkpoint inhibitors (ICI) or other immune therapies. However, responses to these treatments remain highly variable even in selected patients. Thus, it is essential to obtain more information about tumor immune cells that infiltrate these tumors, and on their plasticity and interactions, in order to better understand the underlying biology to allow development of new therapeutic strategies. This review analyzes: 1) How interactions among immune cell populations and other cells infiltrating the tumor stroma can modulate the progression of PC, 2) How the standard therapies to treat PC (such as androgen deprivation therapy, new androgen-directed hormone therapy or chemotherapy) may influence the dynamic changes of the immunome and 3) What are the limitations in characterizing the immune landscape of the host´s response to tumors.

Indexed as

Prostatic NeoplasmsTumor MicroenvironmentAnimalsHumansImmune Checkpoint InhibitorsImmunotherapyMalePractice Guidelines as TopicImmune Checkpoint Inhibitorsbiomarkersimmunomeimmunophenotypeimmunotherapyprostate cancer

Identifiers

PMID39635522
PMCPMC11614818

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.