Evidence map›Paper›PMID 37632634›Full record

ArticleGeroScience2024

Serum methylmalonic acid concentrations at breast cancer diagnosis significantly correlate with clinical frailty.

Qi Wu, Sigrid Hatse, Cindy Kenis, Juan Fernández-García, Patricia Altea-Manzano, Jaak Billen, Mélanie Planque, Anke Vandekeere, Yentl Lambrechts, François Richard and 9 more

Abstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. A predictive model for neoadjuvant therapy response in breast cancer.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  3. Review
  4. Article
  5. Article
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

19 authors.

Qi WuLaboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Louvain, Belgium.
Sigrid HatseLaboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Louvain, Belgium.
Cindy KenisDepartment of General Medical Oncology, University Hospitals Leuven, Louvain, Belgium.
Juan Fernández-GarcíaLaboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Herestraat 49, 3000, Louvain, Belgium.
Patricia Altea-ManzanoLaboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Herestraat 49, 3000, Louvain, Belgium.
Jaak BillenLaboratory of Clinical and Experimental Endocrinology, Department of Chronic Disease and Metabolism, KU Leuven, Louvain, Belgium.
Mélanie PlanqueLaboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Herestraat 49, 3000, Louvain, Belgium.
Anke VandekeereLaboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Herestraat 49, 3000, Louvain, Belgium.
Yentl LambrechtsLaboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Louvain, Belgium.
François RichardLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Louvain, Belgium.
Kevin PunieDepartment of General Medical Oncology, University Hospitals Leuven, Louvain, Belgium.
Patrick NevenMultidisciplinary Breast Center, University Hospitals Leuven, Louvain, Belgium.
Ann SmeetsMultidisciplinary Breast Center, University Hospitals Leuven, Louvain, Belgium.
Ines NevelsteenMultidisciplinary Breast Center, University Hospitals Leuven, Louvain, Belgium.
Giuseppe FlorisLaboratory for Cell and Tissue Translational Research, Department of Imaging and Radiology, KU Leuven, Louvain, Belgium.
Christine DesmedtLaboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Louvain, Belgium.
Ana P GomesDepartment of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Sarah-Maria FendtLaboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Herestraat 49, 3000, Louvain, Belgium. sarah-maria.fendt@kuleuven.be.
Hans WildiersLaboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Louvain, Belgium. hans.wildiers@uzleuven.be.ORCID 0000-0001-8990-7837

Funding

Vitamin B12 supplementation as novel therapeutic strategy to improve cancer-associated outcomesR00CA218686 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI DA SILVA GOMES, ANA · 2020 to 2022
$916k
NCI NIH HHS R00 CA218686
6 · The paper itself

Abstract

Methylmalonic acid (MMA), a by-product of propionate metabolism, is known to increase with age. This study investigates the potential of serum MMA concentrations as a biomarker for age-related clinical frailty in older patients with breast cancer. One hundred nineteen patients ≥ 70 years old with early-stage breast cancer were included (median age 76 years). G8 screening, full geriatric assessment, clinical parameters (i.e., estimated glomerular filtration rate (eGFR) and body mass index (BMI)), and serum sample collection were collected at breast cancer diagnosis before any therapy was administered. MMA concentrations were measured via liquid chromatography with tandem mass spectrometry. MMA concentrations significantly increased with age and eGFR (all P < 0.001) in this older population. The group with an abnormal G8 (≤ 14, 51% of patients) had significantly higher MMA levels than the group with normal G8 (> 14, 49%): 260 nmol/L vs. 188 nmol/L, respectively (P = 0.0004), even after correcting for age and eGFR (P = 0.001). Furthermore, in the detailed assessment, MMA concentrations correlated most with mobility (Eastern Cooperative Oncology Group (ECOG) Performance Status and Activities of Daily Living (ADL) tools, all P ≤ 0.02), comorbidity (Charlson Comorbidity Index (CCI) tool, P = 0.005), and polypharmacy (P < 0.001), whereas no significant associations were noted for instrumental ADL (IADL), Mini-Mental State Examination (MMSE), Geriatric Depression Scale-15 (GDS15), Mini Nutritional Assessment-Short Form (MNA-SF), and pain (all P > 0.1). In addition, our results showed that higher MMA levels correlate with poor overall survival in breast cancer patients (P = 0.003). Elevated serum MMA concentrations at initial diagnosis are significantly associated, not only with age but also independently with clinical frailty, suggesting a possible influence of MMA on clinical frailty in older patients with early-stage breast cancer.

Indexed as

Breast NeoplasmsFrailtyActivities of Daily LivingAgedComorbidityFemaleHumansMethylmalonic AcidMethylmalonic AcidBreast cancerClinical frailtyMethylmalonic acidMobility

Identifiers

PMID37632634
PMCPMC10828366

What OpenQuestion holds

Textmetadata
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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.