Evidence map›Paper›PMID 40977686›Full record

ReviewFrontiers in immunology2025

Unraveling the Mystery of Breast Cancer Dormancy: Insights into Genetic, Receptor, and Cellular Interactions Driving Late Recurrence.

Haochen Ma, Bingqiang Zhang, Mengmeng Chen, Zhendi Song, Yi Zhao

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Haochen MaInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.
Bingqiang ZhangKey Laboratory of Cancer and Immune Cells of Qingdao, Qingdao Restore Biotechnology Co., Ltd., Qingdao, China.
Mengmeng ChenKey Laboratory of Cancer and Immune Cells of Qingdao, Qingdao Restore Biotechnology Co., Ltd., Qingdao, China.
Zhendi SongDepartment of Breast Surgery, Qingdao Municipal Hospital, Qingdao, China.
Yi ZhaoInstitute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late recurrence of breast cancer poses a considerable threat to patient survival, often attributed to breast cancer dormancy. Dormancy, characterized by cancer cells remaining quiescent for extended periods, is influenced by genetic factors and modifications that directly impact cellular phenotype. Alterations in gene expression dynamically shape cellular behavior, often mediated through receptor signaling pathways. Moreover, interactions within the tumor microenvironment play a pivotal role, fostering either cancer cell dormancy or promoting their escape from dormancy. This review endeavors to provide a comprehensive synthesis of recent advancements in understanding breast cancer dormancy across genetic, receptor molecular, and cellular dimensions. By elucidating the intricate mechanisms underlying dormancy, we aim to shed light on potential therapeutic strategies to prevent late recurrences. Furthermore, we anticipate future research directions that may uncover novel insights into this complex phenomenon, ultimately improving patient outcomes and refining clinical management strategies for breast cancer recurrence.

Indexed as

Breast NeoplasmsCell CommunicationNeoplasm Recurrence, LocalAnimalsFemaleGene Expression Regulation, NeoplasticHumansSignal TransductionTumor Microenvironmentbreast cancercell adhesion moleculedormancynon-coding RNAtumor microenvironment

Identifiers

PMID40977686
PMCPMC12443823

What OpenQuestion holds

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Registered trials

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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.