GEO series
A very low carbohydrate, ketogenic diet suppresses tumor insulin signaling and enhances immune infiltration in women with endometrial cancer: results from a randomized feasibility study.
GSE306395
Homo sapiens
Expression profiling by high throughput sequencing
16 samples
2025/08/30
GPL20301
Summary
Objectives: To evaluate the feasibility of a very low carbohydrate, ketogenic, diet in women with endometrial cancer and obesity, and to assess the effects of this dietary pattern on metabolism and tumor biology. Design: A multicentre, parallel, prospective, randomized, controlled feasibility study in treatment naïve women with endometrial cancer. Participants were randomized in a 2:1 fashion to a very-low carbohydrate (VLCD) diet, or to continue with their standard diet (SD) by the method of random permuted block. Setting: Eight locations from two teaching hospitals in the New York and New Jersey areas. Participants: 19 treatment naïve women with endometrial cancer (stages IA-IIIC2) and obesity. 15 completed the study. Intervention: After initial biopsy and pathology confirmation, participants received 21-28 days of VLCD and weekly nutritional counseling, followed by surgical staging. Main outcome measures: Dietary adherence, rates of attrition, and adverse effects. Changes in circulating concentration of metabolic biomarkers. Changes in immunohistochemical staining and RNA-Sequencing for insulin signaling pathway, cell apoptosis, proliferation, and immunity. Results: Of the 19 participants randomized, 15 finished the trial with an overall attrition rate of 21%. Participants in the VLCD arm reported consuming 91 ± 4% of the meals, leading to a rise in ketone bodies for all participants by day 3 or 4 and an overall weight loss of 5.5 ± 0.8%. The VLCD was well-tolerated with no grade 3/4 adverse events. Fasting plasma glucose and insulin levels were reduced by 22 ± 5.9% and 60 ± 3.8%, respectively. Total cholesterol and low-density lipoprotein (LDL) were increased by 6 ± 2.7% and 17.8 ± 8.9%, respectively. Gene Set Enrichment Analysis using RNA-Seq revealed enrichment in pathways related to fatty acid oxidation, oxidative phosphorylation, estrogen response, interferon-alpha response and CD8+ T cells (p < 0.05 and NES > 1.60). CD8+ T cells were found to infiltrate the tumor margins under VLCD compared to SD (p = 0.019). Conclusions: A VLCD is feasible and well-tolerated in obese and overweight women with endometrial cancer and leads to significant host and tumor metabolic changes that suggest potential therapeutic benefits that warrant further investigation in larger clinical trials.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.