ArticleFrontiers in oncology2020
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Molecular and cellular landscapes of the immune microenvironment and multiomic biomarker-sets in platinum-resistant recurrent ovarian cancers.Journal of ovarian research · 2026Review
- Deciphering enemy tactics - the narrow path to an optimal anti-cancer strategy targeting the Warburg effect.Pharmacological reports : PR · 2025Review
- Pathogenic mitochondrial DNA variants are associated with response to anti-VEGF therapy in ovarian cancer PDX models.Journal of experimental & clinical cancer research : CR · 2024Article
- Anti-VEGF therapy selects for clones resistant to glucose starvation in ovarian cancer xenografts.Journal of experimental & clinical cancer research : CR · 2023Article
- Metabolic classification of non-small cell lung cancer patient-derived xenografts by a digital pathology approach: A pilot study.Frontiers in oncology · 2023Article
- Energy Substrate Transporters in High-Grade Ovarian Cancer: Gene Expression and Clinical Implications.International journal of molecular sciences · 2022Article
- Expression and prognostic value of TRPM7 in canine mammary tumours.Veterinary and comparative oncology · 2021Article
- Article
- PGK1 Is a Key Target for Anti-Glycolytic Therapy of Ovarian Cancer: Based on the Comprehensive Analysis of Glycolysis-Related Genes.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic profiling of cancer is a rising interest in the field of biomarker development. One bottleneck of its clinical exploitation, however, is the lack of simple and quantitative techniques that enable to capture the key metabolic traits of tumor from archival samples. In fact, liquid chromatography associated with mass spectrometry is the gold-standard technique for the study of tumor metabolism because it has high levels of accuracy and precision. However, it requires freshly frozen samples, which are difficult to collect in large multi-centric clinical studies. For this reason, we propose here to investigate a set of established metabolism-associated protein markers by exploiting immunohistochemistry coupled with digital pathology. As case study, we quantified expression of MCT1, MCT4, GLS, PHGDH, FAS, and ACC in 17 patient-derived ovarian cancer xenografts and correlated it with survival. Among these markers, the glycolysis-associated marker MCT4 was negatively associated with survival of mice. The algorithm enabling a quantitative analysis of these metabolism-associated markers is an innovative research tool that can be exported to large sets of clinical samples and can remove the variability of individual interpretation of immunohistochemistry results.
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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.