ArticleOncotarget2017
Does the 1H-NMR plasma metabolome reflect the host-tumor interactions in human breast cancer?
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 29 citations in OpenAlex.
- Short halt in vaping modifies cardiorespiratory parameters and urine metabolome: a randomized trial.American journal of physiology. Lung cellular and molecular physiology · 2020Trial
- Integrative Analysis of 4-Hydroxynonenal-Modified Proteins and Plasma Metabolome in Breast Cancer Patients.Antioxidants (Basel, Switzerland) · 2026Article
- Additive Anticancer and Antioxidant Effects of Metformin and Luteolin in Breast and Colorectal Cancer Cell Lines.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Serum metabolite and metal ions profiles for breast cancer screening.Scientific reports · 2024Article
- In Vitro MRS of Cells Treated with Trastuzumab at 1.5 Tesla.International journal of molecular sciences · 2024Article
- Metabolomics and EMT Markers of Breast Cancer: A Crosstalk and Future Perspective.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022Review
- Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism.Metabolites · 2022Review
- MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021Review
- Detection of Lung Cancer via Blood Plasma andMetabolites · 2021Article
- Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021Review
- Article
- Current Status and Future Prospects of Clinically Exploiting Cancer-specific Metabolism-Why Is Tumor Metabolism Not More Extensively Translated into Clinical Targets and Biomarkers?International journal of molecular sciences · 2019Review
- NMR metabolomics study of follicular fluid in women with cancer resorting to fertility preservation.Journal of assisted reproduction and genetics · 2018Article
- Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment.British journal of cancer · 2018Article
- A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response.International journal of molecular sciences · 2018Review
- UHPLC-QTOFMS-Based Metabolomic Analysis of the Hippocampus in Hypoxia Preconditioned Mouse.Frontiers in physiology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) is the most common diagnosed cancer and the leading cause of cancer death in women worldwide. There is an obvious need for a better understanding of BC biology. Alterations in the serum metabolome of BC patients have been identified but their clinical significance remains elusive. We evaluated by 1H-Nuclear Magnetic Resonance (1H-NMR) spectroscopy, filtered plasma metabolome of 50 early (EBC) and 15 metastatic BC (MBC) patients. Using Principal Component Analysis, Partial Least-Squares Discriminant Analysis and Hierarchical Clustering we show that plasma levels of glucose, lactate, pyruvate, alanine, leucine, isoleucine, glutamate, glutamine, valine, lysine, glycine, threonine, tyrosine, phenylalanine, acetate, acetoacetate, β-hydroxy-butyrate, urea, creatine and creatinine are modulated across patients clusters. In particular lactate levels are inversely correlated with the tumor size in the EBC cohort (Pearson correlation r = -0.309; p = 0.044). We suggest that, in BC patients, tumor cells could induce modulation of the whole patient's metabolism even at early stages. If confirmed in a lager study these observations could be of clinical importance.
Indexed as
Identifiers
What OpenQuestion holds
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.