ArticleFrontiers in oncology2021
High Expression of SLC16A1 as a Biomarker to Predict Poor Prognosis of Urological Cancers.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Identification and validation of LDHA and SLC16A1 for predicting prognosis and diagnosis in lower-grade glioma.Discover oncology · 2025Article
- Persistent Inflammation, Maladaptive Remodeling, and Fibrosis in the Kidney Following Long COVID-like MHV-1 Mouse Model.Diseases (Basel, Switzerland) · 2025Article
- The role of MCT1 in tumor progression and targeted therapy: a comprehensive review.Frontiers in immunology · 2025Review
- Identification of key ferroptosis-related genes and therapeutic target in nasopharyngeal carcinoma.Frontiers in genetics · 2025Article
- Oncogenic circ-SLC16A1 promotes progression of non-small cell lung cancer via regulation of the miR-1287-5p/profilin 2 axis.Cellular & molecular biology letters · 2024Article
- The Pivotal Function of SLC16A1 and SLC16A1-AS1 in Cancer Progress: Molecular Pathogenesis and Prognosis.Mini reviews in medicinal chemistry · 2024Article
- Quantifying the impact of immunotherapy on RNA dynamics in cancer.Journal for immunotherapy of cancer · 2023Article
- Article
- The hsa_circ_0000276-ceRNA regulatory network and immune infiltration in cervical cancer.BMC cancer · 2023Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTumor metabolism has always been the focus of cancer research. SLC16A1, as a key factor in catalysis of monocarboxylate transport across the plasma membrane, has been found to be associated with the occurrence and metastasis of a variety of cancers, but its prognostic significance and mechanism in different tumors are still unclear.
methodsBased on the gene expression matrix and clinical information of human cancer tissues acquired from TCGA and GTEX databases, the differential expression of SLC16A1 in different tumors and normal tissues was analyzed. To confirm the association between its expression, the mutation of MMRS gene, and the expression level of DNMTs. Univariate Cox regression was applied to analyze the association between SLC16A1 expression and patient prognosis. The effect of SLC16A1 expression on patient survival was examined by Kaplan Meier analysis. GSEA was used to identify related signaling pathways.
resultsThe expression of SLC16A1 was differentially expressed in most tumors, especially in the urinary tract where it is commonly highly expressed, and differential expression of SLC16A1 in different clinical stages. SLC16A1 expression was significantly positively correlated with MMRS gene mutation and DNMTS expression. Moreover, high SLC16A1 expression was associated with poorer overall survival (OS) and progression-free survival (PFS) in urological cancers. In particular, the results of the enrichment analysis showed that SLC16A1 was associated with processes such as cell adhesion and many signaling pathways affecting cell cycle were significantly enriched in the group with high-expressed SLC16A1.
conclusionSLC16A1 expression was upregulated in urological cancer. SLC16A1 may promote tumor development by regulating the epigenetic process of urological cancer and demonstrated a great potential as a prognostic biomarker of urological cancer patients.
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