ReviewAmino acids2021
Proline dehydrogenase in cancer: apoptosis, autophagy, nutrient dependency and cancer therapy.
Review in Amino acids, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 25 citations in OpenAlex.
- CoQExperimental & molecular medicine · 2026Review
- Genetic variations in amino acid metabolism-related genes are associated with risk of papillary thyroid carcinoma: a case-control study.BMC endocrine disorders · 2025Article
- Luteolin and its antidepressant properties: From mechanism of action to potential therapeutic application.Journal of pharmaceutical analysis · 2025Review
- The new insight into the role of hydroxyproline in metabolism of cancer cells.Frontiers in cell and developmental biology · 2025Review
- Eucommia ulmoides seed oil is a complementary food for suppressing digestive tumors.Frontiers in pharmacology · 2025Article
- Targeting amino acid in tumor therapy.Frontiers in oncology · 2025Review
- Article
- Role of lung ornithine aminotransferase in idiopathic pulmonary fibrosis: regulation of mitochondrial ROS generation and TGF-β1 activity.Experimental & molecular medicine · 2024Article
- Proline Metabolism in WHO G4 Gliomas Is Altered as Compared to Unaffected Brain Tissue.Cancers · 2024Article
- Mitochondrial Cristae Morphology Reflecting Metabolism, Superoxide Formation, Redox Homeostasis, and Pathology.Antioxidants & redox signaling · 2023Review
- Development and validation of apoptosis-related signature and molecular subtype to improve prognosis prediction in osteosarcoma patients.Journal of clinical laboratory analysis · 2022Article
- Metabolomics and EMT Markers of Breast Cancer: A Crosstalk and Future Perspective.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022Review
- Review
- MDN1 Mutation Is Associated With High Tumor Mutation Burden and Unfavorable Prognosis in Breast Cancer.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
L-proline catabolism is emerging as a key pathway that is critical to cellular metabolism, growth, survival, and death. Proline dehydrogenase (PRODH) enzyme, which catalyzes the first step of proline catabolism, has diverse functional roles in regulating many pathophysiological processes, including apoptosis, autophagy, cell senescence, and cancer metastasis. Notably, accumulated evidence demonstrated that PRODH plays complex role in many types of cancers. In this review, we briefly introduce the function of PRODH, then its expression in different types of cancer. We next discuss the regulation of PRODH in cancer, the downstream pathways of PRODH and the therapies that are under investigation. Finally, we propose novel insights for future perspectives on the modulation of PRODH.
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.