Evidence map›Paper›PMID 41550427›Full record

ArticleCancer heterogeneity and plasticity2025

The Trojan Horse Within: Mechanisms of Immune Evasion in Breast Cancer.

Biswajit Das, Charles W Winterbottom, Shaheen S Sikandar

Abstract read
In one paragraph

Article in Cancer heterogeneity and plasticity, 2025. 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. 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

3 authors.

Biswajit DasDepartment of Molecular, Cell and Developmental Biology, University of California - Santa Cruz, USA.
Charles W WinterbottomDepartment of Molecular, Cell and Developmental Biology, University of California - Santa Cruz, USA.
Shaheen S SikandarDepartment of Molecular, Cell and Developmental Biology, University of California - Santa Cruz, USA.

Funding

Molecular mechanisms regulating LMO2+ metastasis initiating cellsR37CA269754 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Shaheen Sikandar · 2023 to 2026
$1.4M
NCI NIH HHS R37 CA269754
6 · The paper itself

Abstract

Breast cancer (BC) is the most common type of cancer among females, and the number of deaths due to BC has increased over the past few decades. BC is primarily categorized based on the receptor status of BC cells as hormone receptor-positive (HR+), human epidermal growth factor receptor 2-positive (HER2+), and triple-negative BC (TNBC). These subtypes differ significantly in their treatment strategies, prognosis, immunogenic nature, and response to immunotherapy. TNBC is the most aggressive with a poor prognosis, but a subset of TNBCs that express programmed cell death ligand 1, have shown promising responses to immune checkpoint inhibitors. Across BC subtypes, distinct immune cell subsets remain active in the tumor immune microenvironment (TIME) that either inhibit or promote the growth of cancer. In isolation, it is challenging for cancer cells to thrive in presence of the body's immune system, however with the aid of other cells in the TIME, they can work together to evade immune detection by suppressing antigen presentation, modulating immune recognition markers, and recruiting immune-suppressive cells. In this review, we provide an overview of the BC immune evasion mechanisms and discuss aspects of immune evasion in relation to tumor heterogeneity and cellular plasticity. We also highlight successful clinical trials targeting immune-evasion markers and discuss the challenges and potential future directions for solving these problems.

Indexed as

Breast cancerClinical trialsImmune evasionTumor heterogeneityTumor immune microenvironments

Identifiers

PMID41550427
PMCPMC12810867

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.