ArticleScience progress
Lactate metabolism orchestrates immune dysregulation in renal cancer: A multi-omics and causal inference study.
Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BackgroundLactate shapes the tumor microenvironment and modulates immunity. Investigating lactate metabolism genes in renal cell carcinoma (RCC) could elucidate therapeutic targets.MethodsSingle-cell RNA sequencing (GSE242299), bulk RNA sequencing (GSE102101), and spatial transcriptomics (GSE175540) data for RCC were retrieved from GEO. Data processing included quality control, normalization, and dimensionality reduction (R packages). RCTD and CellChat were used for spatial deconvolution and cell-cell communication analysis. CIBERSORT and GSEA evaluated immune infiltration and pathway enrichment. Lactylation scores were derived via single-sample gene set enrichment analysis (ssGSEA) of lactate metabolism genes. Mendelian randomization (MR) assessed gene-cancer risk associations.ResultsMacrophages demonstrated a higher potential for interactions with other cell types due to their extensive receptor-ligand relationships. Lactylation score and MR analysis identified six pivotal genes associated with renal cancer risk: C4A and SERPINA1 were correlated with an elevated disease risk, whereas CD70, FXYD2, SERPINE1, and TUBB6 were associated with a reduced risk. These genes are linked to the degree of immune cell infiltration and can influence the disease process through diverse mechanisms. We also explored the expression profiles of primary genes involved in lactate metabolism in RCC and compared the metabolic pathways between different groups. Notably, experimental validation via tissue microarray immunofluorescence confirmed that the risk-associated genes C4A and SERPINA1 were significantly overexpressed in RCC tumor tissues.ConclusionLactic acid metabolism regulates RCC progression by modulating metabolic activity and immune cell infiltration. Key lactate metabolism genes present novel targets for RCC treatment.
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.