ArticleiScience2024
Largescale multicenter study of a serum metabolite biomarker panel for the diagnosis of breast cancer.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Breast Cancer: Epidemiology, Molecular Classification, Diagnostics and Evolving Treatment Paradigms.Molecules (Basel, Switzerland) · 2026Review
- Metabolomic characteristics and mechanisms of subgingival plaque in MASLD patients with periodontitis.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Metabolite biomarkers present in urine predict alterations in skeletal muscle associated with sarcopenia.Frontiers in aging · 2026Article
- A Multimodal Diagnostic Model for Breast Cancer Invasiveness Based on Ultrasound Imaging and Serum Biomarkers.Medicina (Kaunas, Lithuania) · 2025Article
- Spatial multi-omics reveals the potential involvement of SPP1Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Review
- Metabolites and metabolic pathway reactions links to sensitization of immunotherapy in pan-cancer.Molecular therapy. Oncology · 2025Article
- Metabolomic profiling of childhood medulloblastoma: contributions and relevance to diagnosis and molecular subtyping.Journal of cancer research and clinical oncology · 2024Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) is currently the most prevalent malignancy worldwide, and finding effective non-invasive biomarkers for routine clinical detection of BC remains a significant challenge. Here, we performed non-targeted and targeted metabolomics analysis on the screening, training and validation cohorts of serum samples from 1,947 participants. A metabolite biomarker model including glutamate, erythronate, docosahexaenoate, propionylcarnitine, and patient's age was established for detecting BC. This model demonstrated better diagnostic performance than carbohydrate antigen 15-3 (CA15-3) and carcinoembryonic antigen (CEA) alone in discriminating BC from healthy controls both in the training and validation cohorts [area under the curve (AUC), 0.954; sensitivity, 87.1% and specificity, 93.5% for the training cohort and 0.834, 68.3%, and 85.2%, respectively, for the validation cohort 1]. This study has established a noninvasive approach for the detection of BC, which shows potential as a suitable supplement to the clinical screening methods currently employed for BC.
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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.