Evidence map›Paper›PMID 39966355›Full record

ReviewSignal transduction and targeted therapy2025

Breast cancer: pathogenesis and treatments.

Xin Xiong, Le-Wei Zheng, Yu Ding, Yu-Fei Chen, Yu-Wen Cai, Lei-Ping Wang, Liang Huang, Cui-Cui Liu, Zhi-Ming Shao, Ke-Da Yu

3 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Signal transduction and targeted therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 549 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
549citing papers in PubMed, 4 pooled it
–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.

NCT07367334 nacompletednot on this map

Impact of Verbal Cueing in Multimodal Exercise Rehabilitation: A Retrospective Study in Breast Cancer Survivors Undergoing Radiation Therapy

TypeinterventionalSponsorSaveetha UniversityRan2025 to 2025Enrolled34ConditionsBreast Cancer Survivors, Range of Motion, Cortisol, Shoulder DysfunctionArmsMultimodal Exercise Rehabilitation With Verbal Cueing, Multimodel Exercises Rehabilitation without Verbal cues
NCT07683572 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Validation of Augmented-Reality/Virtual-Reality Goggle-Based Near-Infrared Fluorescence Imaging for Sentinel Lymph Node Detection in Patients With Breast Cancer

TypeobservationalSponsorSs. Cyril and Methodius University of SkopjeRan2026 to 2028Enrolled200ConditionsBreast Cancer, Breast Neoplasms, Sentinel Lymph Node, Lymphatic MetastasisArmsAR-ICG near-infrared fluorescence imaging
NCT07696754 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Mapping of Lymph Nodes Using Augmented-reality/Virtual-reality Goggles in Patients With Breast Cancer

TypeinterventionalSponsorSs. Cyril and Methodius University of SkopjeRan2026 to 2027Enrolled30ConditionsBreast Cancer, Breast Neoplasms, Sentinel Lymph Node, Lymphatic MetastasisArmsAugmented-reality ICG fluorescence second-look imaging
3 · Its place in the literature

Who cites it

549 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Exercise and pathologic complete response to cancer treatment: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  6. Cancer biology & therapy · 2026
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489 more citing papers are in PubMed but not listed here.

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

10 authors.

Xin Xiong *Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Le-Wei Zheng *Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Yu Ding *Department of Breast and Thyroid, Guiyang Maternal and Child Health Care Hospital & Guiyang Children's Hospital, Guiyang, P. R. China.
Yu-Fei Chen *Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Yu-Wen Cai *Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Lei-Ping WangDepartment of Breast and Urologic Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Liang HuangDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Cui-Cui LiuDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Zhi-Ming ShaoDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China.
Ke-Da YuDepartment of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China. yukeda@fudan.edu.cn.ORCID 0000-0002-2883-1282

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82325042
6 · The paper itself

Abstract

Breast cancer, characterized by unique epidemiological patterns and significant heterogeneity, remains one of the leading causes of malignancy-related deaths in women. The increasingly nuanced molecular subtypes of breast cancer have enhanced the comprehension and precision treatment of this disease. The mechanisms of tumorigenesis and progression of breast cancer have been central to scientific research, with investigations spanning various perspectives such as tumor stemness, intra-tumoral microbiota, and circadian rhythms. Technological advancements, particularly those integrated with artificial intelligence, have significantly improved the accuracy of breast cancer detection and diagnosis. The emergence of novel therapeutic concepts and drugs represents a paradigm shift towards personalized medicine. Evidence suggests that optimal diagnosis and treatment models tailored to individual patient risk and expected subtypes are crucial, supporting the era of precision oncology for breast cancer. Despite the rapid advancements in oncology and the increasing emphasis on the clinical precision treatment of breast cancer, a comprehensive update and summary of the panoramic knowledge related to this disease are needed. In this review, we provide a thorough overview of the global status of breast cancer, including its epidemiology, risk factors, pathophysiology, and molecular subtyping. Additionally, we elaborate on the latest research into mechanisms contributing to breast cancer progression, emerging treatment strategies, and long-term patient management. This review offers valuable insights into the latest advancements in Breast Cancer Research, thereby facilitating future progress in both basic research and clinical application.

Indexed as

Breast NeoplasmsPrecision MedicineFemaleHumans

Identifiers

PMID39966355
PMCPMC11836418

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.