Evidence map›Paper›PMID 37526524›Full record

ArticleCancer research2023

The Ratio of Key Metabolic Transcripts Is a Predictive Biomarker of Breast Cancer Metastasis to the Lung.

Deepti Mathur, Chen Liao, Wendy Lin, Alessandro La Ferlita, Salvatore Alaimo, Samuel Taylor, Yi Zhong, Christine Iacobuzio-Donahue, Alfredo Ferro, Joao B Xavier

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026
    Review
  2. Article
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  4. Article
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  8. Machine learning of cellular metabolic rewiring.Biology methods & protocols · 2024
    Article
  9. Metabolomics combined with mathematical analysis reveals metabolic pathways specific to metastatic cancers.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2024
    Article
  10. Machine learning of cellular metabolic rewiring.bioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Deepti MathurProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York.ORCID 0000-0002-2193-9127
Chen LiaoProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York.ORCID 0000-0001-8474-1196
Wendy LinProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York.ORCID 0000-0002-4167-7072
Alessandro La FerlitaDepartment of Cancer Biology and Genetics, The James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-3680-3177
Salvatore AlaimoDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.ORCID 0000-0003-4825-7617
Samuel TaylorWeill Cornell-Rockefeller-Sloan Kettering Tri-Institutional MD-PhD Program, New York, New York.ORCID 0000-0002-0926-9394
Yi ZhongDepartment of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.ORCID 0000-0002-4730-5077
Christine Iacobuzio-DonahueDepartment of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.ORCID 0000-0002-4672-3023
Alfredo FerroDepartment of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.ORCID 0000-0002-9431-5788
Joao B XavierProgram for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York.ORCID 0000-0003-3592-1689
Memorial Sloan Kettering Cancer Center · USUniversity of Catania · ITBrigham and Women's Hospital · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Tumor-specific T cell state dynamics and heterogeneity in early tumorigenesisU54CA209975 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LESLIE, CHRISTINA S, RUDENSKY, ALEXANDER Y · 2016 to 2021
$11.8M
Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)R01AI137269 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI TAUR, YING, XAVIER, JOAO · 2019 to 2023
$3.8M
Dissecting the complexity of metastasis with mathematical models and quantitative experiments with in zebrafishR01CA229215 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK, XAVIER, JOAO · 2018 to 2022
$3.1M
Mathematical modeling of metabolism rewiring in cancer eco-evolution and metastasis tropismR01CA266068 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Joao Xavier · 2023 to 2026
$2.3M
Metabolic determinants of metastatic heterogeneity: quantitative experiments and mathematical modelsF32CA260841 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MATHUR, DEEPTI · 2021 to 2023
$223k
NCI NIH HHS F32 CA260841NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA229215NCI NIH HHS R01 CA266068NCI NIH HHS U54 CA209975NIAID NIH HHS R01 AI137269
6 · The paper itself

Abstract

Understanding the rewired metabolism underlying organ-specific metastasis in breast cancer could help identify strategies to improve the treatment and prevention of metastatic disease. Here, we used a systems biology approach to compare metabolic fluxes used by parental breast cancer cells and their brain- and lung-homing derivatives. Divergent lineages had distinct, heritable metabolic fluxes. Lung-homing cells maintained high glycolytic flux despite low levels of glycolytic intermediates, constitutively activating a pathway sink into lactate. This strong Warburg effect was associated with a high ratio of lactate dehydrogenase (LDH) to pyruvate dehydrogenase (PDH) expression, which correlated with lung metastasis in patients with breast cancer. Although feature classification models trained on clinical characteristics alone were unable to predict tropism, the LDH/PDH ratio was a significant predictor of metastasis to the lung but not to other organs, independent of other transcriptomic signatures. High lactate efflux was also a trait in lung-homing metastatic pancreatic cancer cells, suggesting that lactate production may be a convergent phenotype in lung metastasis. Together, these analyses highlight the essential role that metabolism plays in organ-specific cancer metastasis and identify a putative biomarker for predicting lung metastasis in patients with breast cancer. SIGNIFICANCE: Lung-homing metastatic breast cancer cells express an elevated ratio of lactate dehydrogenase to pyruvate dehydrogenase, indicating that ratios of specific metabolic gene transcripts have potential as metabolic biomarkers for predicting organ-specific metastasis.

Indexed as

Breast NeoplasmsLung NeoplasmsNeoplasms, Second PrimaryBiomarkersCutaneous Malignant MelanomaFemaleHumansLactatesL-Lactate DehydrogenaseLungPyruvatesBiomarkersLactatesL-Lactate DehydrogenasePyruvates

Identifiers

PMID37526524
PMCPMC10570685
OpenAlexW4385442682

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.