The DOI matches its Crossref record.
Lactate in Solid Malignant Tumors: Potential Basis of a Metabolic Classification in Clinical Oncology
Abstract
A number of studies have demonstrated that malignant transformation is associated with an increase in glycolytic flux and in anaerobic and aerobic cellular lactate excretion. Using quantitative bioluminescence imaging in various primary carcinomas in patients (uterine cervix, head and neck, colorectal region) at first diagnosis of the disease, we showed that lactate concentrations in tumors in vivo could be relatively low or extremely high (up to 40 micromol/g) in different individual tumors or within the same lesion. In all tumor entities investigated, high molar concentrations of lactate were correlated with a high incidence of distant metastasis already in an early stage of the disease. Low lactate tumors (< median of approx. 8 micromol/g) were associated with both a longer overall and disease free survival compared to high lactate lesions (lactate > approx. 8 micromol/g). Lactate dehydrogenase was found to be upregulated in most of these tumors compared to surrounding normal tissue. Numerous recent reports support these data by demonstrating various biological activities of lactate that can enhance the malignant behavior of cancer cells. These mechanisms include the activation of hyaluronan synthesis by tumor-associated fibroblasts, upregulation of VEGF and of HIF-1 alpha, and direct enhancement of cellular motility which generates favorable conditions for metastatic spread. Thus, lactate accumulation not only mirrors but also actively enhances the degree of tumor malignancy. We propose that determination of lactate in primary tumors may serve as a basis for a novel metabolic classification which can lead to an improvement of prognosis and therapy in clinical oncology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Inhibitory effect of tumor cell-derived lactic acid on human T cells
Fischer, K., Hoffmann, P., Voelkl, S., Meidenbauer, N., Ammer, J., Edinger, M., Gottfried, E., Schwarz, S., Rothe, G., Hoves, S., et al. (2007) · Blood · doi:10.1182/blood-2006-07-035972 · Cited by 1,946
Cancer metabolism: a therapeutic perspective
Martinez-Outschoorn, U. E., Peiris-Pagés, M., Pestell, R. G., Sotgia, F., & Lisanti, M. P. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.60 · Cited by 1,505
Lactate in the Regulation of Tumor Microenvironment and Therapeutic Approaches
de la Cruz-López, K. G., Castro-Muñoz, L. J., Reyes-Hernández, D. O., García-Carrancá, A., & Manzo-Merino, J. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01143 · Cited by 940
Végran, F., Boidot, R., Michiels, C., Sonveaux, P., & Feron, O. (2011) · Cancer Research · doi:10.1158/0008-5472.can-10-2828 · Cited by 816
Tumor-derived lactic acid modulates dendritic cell activation and antigen expression
Gottfried, E., Kunz-Schughart, L. A., Ebner, S., Mueller-Klieser, W., Hoves, S., Andreesen, R., Mackensen, A., & Kreutz, M. (2006) · Blood · doi:10.1182/blood-2005-05-1795 · Cited by 729
Self-citation
Metadata
- Authors
- Walenta, S., Schroeder, T., & Mueller-Klieser, W.
- Venue
- Current Medicinal Chemistry
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2004-08-01
- Volume
- 11
- Issue
- 16
- Pages
- 2195-2204
- ISSN
- 0929-8673 (ISSN-L)
- OpenAlex
- W2155184914
- Cited by
- 248
- References
- 0
- FWCI
- 2.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lactate in Solid Malignant Tumors: Potential Basis of a Metabolic Classification in Clinical Oncology. https://app.cochat.ai/papers/10.2174/0929867043364711
- The paper
- Walenta, S., Schroeder, T., & Mueller-Klieser, W. (2004). Lactate in Solid Malignant Tumors: Potential Basis of a Metabolic Classification in Clinical Oncology. Current Medicinal Chemistry. https://doi.org/10.2174/0929867043364711
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.