Evidence map›Paper›PMID 40256248›Full record

ReviewBreast cancer (Dove Medical Press)2025

Current Status of Breast Cancer Immunotherapy and Prognosis-Related Markers.

Yirong Xu, Bingchen Zhang, Hongyuan Wu, Yifen Wu

Abstract readReview
In one paragraph

Review in Breast cancer (Dove Medical Press), 2025. 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
  2. Cardiotoxicity in breast cancer patients treated with chemoradiotherapy.Exploration of targeted anti-tumor therapy · 2026
    Review
  3. Article
  4. Article
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

4 authors.

Yirong Xu *The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510000, People's Republic of China.
Bingchen Zhang *Department of Laboratory Medicine, Dongguan Institute of Clinical Cancer Research, Department of Oncology, The Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Dongguan, Guangdong, 523059, People's Republic of China.
Hongyuan Wu *Cancer Center, The Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Southern Medical University, Dongguan, Guangdong, 523059, People's Republic of China.
Yifen WuThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510000, People's Republic of China.ORCID 0009-0005-1644-2027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer, being the most common type of cancer globally, stands out as the primary malignant tumor affecting females. With the advent of breast cancer immunotherapy, inhibitors targeting immune checkpoints such as anti-PD-1 (Programmed cell death protein 1) / PD-L1 (Programmed cell death-Ligand 1) and CTLA-4 (Cytotoxic T Lymphocyte-Associated Antigen-4) have demonstrated promising outcomes for breast cancer patients across all molecular subtypes, particularly those with advanced breast cancer and triple-negative breast cancer (TNBC). Our current focus lies in accurately predicting the prognosis of breast cancer patients and the effectiveness of immunotherapy. This article provides a review of emerging biomarkers for breast cancer, encompassing immune-related markers, metabolic indicators, and potential prognosis-related markers. The primary emphasis of the article is to review immune-related tumor biomarkers in breast cancer. Our goal is to summarize relevant studies capable of forecasting breast cancer prognosis and immunotherapy effectiveness. Lastly, we delve into the future directions of breast cancer immunotherapy development.

Indexed as

breast cancerimmunotherapymarkersprognosis

Identifiers

PMID40256248
PMCPMC12009046

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.