Evidence map›Paper›PMID 42151556›Full record

ReviewNature reviews. Immunology2026

The immunology of human breast cancer.

Esmeralda García-Torralba, Sherene Loi, Roberto Salgado, Lorenzo Galluzzi, Aitziber Buqué

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. γδ T cells and cancer.The Journal of clinical investigation · 2026
    Review
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.

Esmeralda García-TorralbaCancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-3744-2182
Sherene LoiDivision of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-6137-9171
Roberto SalgadoDepartment of Pathology, ZAS Hospitals, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-1110-3801
Lorenzo GalluzziCancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA. deadoc80@gmail.com.ORCID http://orcid.org/0000-0003-2257-8500
Aitziber BuquéCancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA. abuquemartinez@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over recent years, immunotherapy with immune checkpoint inhibitors (ICIs) has revolutionized the clinical management of various solid neoplasms, including melanoma and lung carcinoma. A proportion of these malignancies exhibit a baseline immunological configuration that can be successfully targeted with ICIs to support durable clinical responses. Conversely, breast neoplasms other than the triple-negative subset respond poorly to ICIs, reflecting numerous tumour-intrinsic and microenvironmental barriers against effective anticancer immunity. Notably, most hormone receptor-positive breast cancers tend to have limited immunogenicity and to establish a local and systemic immunosuppressive microenvironment that hinders responses to ICIs. Here, we summarize the main immunological features of human breast tumours, whenever possible comparing across disease subtypes, stages and treatment outcomes. Understanding the complex interplay between breast cancer, its hormonal regulation and the immune system will be essential for unlocking the full potential of ICIs and other immunotherapies in this oncological indication.

Indexed as

Breast NeoplasmsImmunotherapyAnimalsFemaleHumansImmune Checkpoint InhibitorsTumor MicroenvironmentImmune Checkpoint Inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.