ArticleCancer cell international2021
Elevated expression of LPCAT1 predicts a poor prognosis and is correlated with the tumour microenvironment in endometrial cancer.
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 29 citations in OpenAlex.
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- Overview of Preclinical and Clinical Trials of Nanoparticles for the Treatment of Brain Metastases.Pharmaceutics · 2025Review
- TPD52 as a Potential Prognostic Biomarker and its Correlation with Immune Infiltrates in Uterine Corpus Endometrial Carcinoma: Bioinformatic Analysis and Experimental Verification.Recent patents on anti-cancer drug discovery · 2025Article
- Comprehensive pancancer analysis reveals that LPCAT1 is a novel predictive biomarker for prognosis and immunotherapy response.Apoptosis : an international journal on programmed cell death · 2024Article
- Screening of prognostic factors and survival analysis based on histological type for perimenopausal endometrial carcinoma treated with hysterectomy.Discover oncology · 2024Article
- Phospholipid Acyltransferases: Characterization and Involvement of the Enzymes in Metabolic and Cancer Diseases.Cancers · 2024Review
- LPCAT1 promotes melanoma cell proliferation via Akt signaling.Oncology reports · 2024Article
- Anti-EGFR ScFv functionalized exosomes delivering LPCAT1 specific siRNAs for inhibition of lung cancer brain metastases.Journal of nanobiotechnology · 2024Article
- Effect of high NEFA concentration on lipid metabolism disorders in hepatocytes based on lipidomics.Frontiers in pharmacology · 2024Article
- LPCAT1 enhances the invasion and migration in gastric cancer: Based on computational biology methods and in vitro experiments.Cancer medicine · 2023Article
- The validation and clinical significance of LPCAT1 down-regulation in acute myeloid leukemia.Molecular biology reports · 2023Article
- LPCAT1 is transcriptionally regulated by FOXA1 to promote breast cancer progression and paclitaxel resistance.Oncology letters · 2023Article
- Comprehensive Characterization of RNA-Binding Proteins in Colon Adenocarcinoma Identifies a Novel Prognostic Signature for Predicting Clinical Outcomes and Immunotherapy Responses Based on Machine Learning.Combinatorial chemistry & high throughput screening · 2023Article
- Overexpression of LPCAT1 enhances endometrial cancer stemness and metastasis by changing lipid components and activating the TGF/β-Smad2/3 signaling pathway.Acta biochimica et biophysica Sinica · 2022Article
- A comprehensive analysis focusing on cuproptosis to investigate its clinical and biological relevance in uterine corpus endometrial carcinoma and its potential in indicating prognosis.Frontiers in molecular biosciences · 2022Article
- Development and Validation of a 7-Gene Inflammatory Signature Forecasts Prognosis and Diverse Immune Landscape in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2022Article
- Autophagy characteristics and establishment of autophagy prognostic models in lung adenocarcinoma and lung squamous cell carcinoma.PloS one · 2022Article
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7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEndometrial cancer (EC) is one of the three malignant reproductive tumours that threaten women's lives and health. Glycerophospholipids (GPLs) are important bioactive lipids involved in various physiological and pathological processes, including cancer. Immune infiltration of the tumour microenvironment (TME) is positively associated with the overall survival in EC. Exploring GPL-related factors associated with the TME in endometrial cancer can aid in the prognosis of patients and provide new therapeutic targets.
methodsDifferentially expressed GPL-related genes were identified from TCGA-UCEC datasets and the Molecular Signatures Database (MSigDB). Univariate Cox regression analysis was used to select GPL-related genes with prognostic value. The Random forest algorithm, LASSO algorithm and PPI network were used to identify critical genes. ESTIMATEScore was calculated to identify genes associated with the TME. Then, differentiation analysis and survival analysis of LPCAT1 were performed based on TCGA datasets. GSE17025 and immunohistochemistry (IHC) verified the results of the differentiation analysis. An MTT assay was then conducted to determine the proliferation of EC cells. GO and KEGG enrichment analyses were performed to explore the underlying mechanism of LPCAT1. In addition, we used the ssGSEA algorithm to explore the correlation between LPCAT1 and cancer immune infiltrates.
resultsTwenty-three differentially expressed GPL-related genes were identified, and eleven prognostic genes were selected by univariate Cox regression analysis. Four significant genes were identified by two different algorithms and the PPI network. Only LPCAT1 was significantly correlated with the tumour microenvironment. Then, we found that LPCAT1 was highly expressed in tumour samples compared with that in normal tissues, and lower survival rates were observed in the groups with high LPCAT1 expression. Silencing of LPCAT1 inhibited the proliferation of EC cells. Moreover, the expression of LPCAT1 was positively correlated with the histologic grades and types. The ROC curve indicated that LPCAT1 had good prognostic accuracy. Receptor ligand activity, pattern specification process, regionalization, anterior/posterior pattern specification and salivary secretion pathways were enriched as potential targets of LPCAT1. By using the ssGSEA algorithm, fifteen kinds of tumor-infiltrating cells (TICs) were found to be correlated with LPCAT1 expression.
conclusionThese findings suggested that LPCAT1 may act as a valuable prognostic biomarker and be correlated with immune infiltrates in endometrial cancer, which may provide novel therapy options for and improved treatment of EC.
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