Evidence map›Paper›PMID 36761968›Full record

ArticleFrontiers in oncology2023

Molecular subtypes predict the preferential site of distant metastasis in advanced breast cancer: a nationwide retrospective study.

Jin-Hu Fan, Su Zhang, Huan Yang, Zong-Bi Yi, Qu-Chang Ouyang, Min Yan, Xiao-Jia Wang, Xi-Chun Hu, Ze-Fei Jiang, Tao Huang and 17 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 28 citations in OpenAlex.

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  16. Premetastatic niche mechanics and organotropism in breast cancer.npj biological physics and mechanics · 2025
    Review
  17. Editorial: Advances of brain metastasis in breast cancer.Frontiers in human neuroscience · 2025
    Article
  18. Article
  19. Article
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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

27 authors at 19 institutions in 1 country.

Jin-Hu FanDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Su ZhangDepartment of Operations Management, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Huan YangDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zong-Bi YiDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qu-Chang OuyangDepartment of Breast Cancer Medical Oncology, Hunan Cancer Hospital, Changsha, China.
Min YanDepartment of Breast Disease, Henan Breast Cancer Center, The affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Xiao-Jia WangDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Xi-Chun HuDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Ze-Fei JiangDepartment of Breast Cancer, The Fifth Medical Centre of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Tao HuangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhong-Sheng TongDepartment of Breast Oncology, Key Laboratory of Breast Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Shu-Sen WangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yong-Mei YinDepartment of Medical Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hui LiDepartment of Breast Surgery, Sichuan Province Tumor Hospital, Chengdu, Sichuan, China.
Run-Xiang YangDepartment of Medical Oncology, Yunnan Cancer Hospital, Kunming Medical University, Kunming, China.
Hua-Wei YangDepartment of Breast Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
Yue-E TengDepartments of Medical Oncology and Thoracic Surgery, The First Hospital of China Medical University, Shenyang, China.
Tao SunDepartment of Medical Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Key Laboratory of Liaoning Breast Cancer Research, Shenyang, China.
Li CaiThe 4th Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Hong-Yuan LiDepartment of the Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Xue-Nong OuyangDepartment of Medicine Oncology, 900Hospital of the Joint Logistics Team, Fuzhou, China.
Jian-Jun HeDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xin-Lan LiuDepartment of oncology, General Hospital of Ningxia Medical University, Ningxia, China.
Shun-E YangDepartment of Breast Cancer and Lymphoma, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China.
Jia-Yu WangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bing-He XuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
You-Lin QiaoDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChongqing Medical University · CNChinese People's Liberation Army · CNDalian Medical University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNFirst Hospital of China Medical University · CNFudan University Shanghai Cancer Center · CNHenan Cancer Hospital · CNHunan Cancer Hospital · CNKunming Medical University · CNLiaoning Cancer Hospital & Institute · CNNanjing Medical University · CNNingxia Medical University · CNSun Yat-sen University · CNThird Affiliated Hospital of Harbin Medical University · CNTianjin Medical University Cancer Institute and Hospital · CNUnion Hospital · CNXinjiang Medical University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore possible associations between molecular subtypes and site of distant metastasis in advanced breast cancer (ABC). Methods: 3577 ABC patients were selected from 21 hospitals of seven geographic regions in China from 2012-2014. A questionnaire was designed to collect medical information regarding demographic characteristics, risk factors, molecular subtype, recurrence/metastasis information, and disease-free survival (DFS). The cancers were classified into Luminal A, Luminal B, HER2-enriched and Triple Negative subtypes. Chi-square test and multivariate Cox proportional hazard models were performed to explore the associations between molecular subtypes and distant metastasis sites. Results: A total of 2393 cases with molecular subtypes information were finally examined. Patients with Luminal A (51.1%) and Luminal B (44.7%) were most prone to bone metastasis, whereas liver metastasis was more frequently observed in HER2-enriched ABC patients (29.1%).The cumulative recurrence and metastasis rates of ABC patients at 36 months of DFS were the most significant within molecular types, of which Triple Negative was the highest (82.7%), while that of Luminal A was the lowest (58.4%). In the adjusted Cox regression analysis, Luminal B, HER2-enriched and Triple Negative subtypes increased the risk of visceral metastasis by 23%, 46% and 87% respectively. In addition, Triple Negative patients had a higher probability of brain metastasis (HR 3.07, 95% CI: 1.04-9.07). Conclusion: Molecular subtypes can predict the preferential sites of distant metastasis, emphasizing that these associations were of great help in choices for surveillance, developing appropriate screening and cancer management strategies for follow-up and personalized therapy in ABC patients.

Indexed as

advanced breast cancerclinical epidemiological characteristicmolecular subtyperetrospective studysite of distant metastasis

Identifiers

PMID36761968
PMCPMC9905808
OpenAlexW4317914696

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.