ArticleFrontiers in immunology2022
A novel hypoxia- and lactate metabolism-related signature to predict prognosis and immunotherapy responses for breast cancer by integrating machine learning and bioinformatic analyses.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Lipid-Soluble Signaling Molecular Model Predicts Prognosis and Immunotherapy Response in Gastric Cancer.Lipids · 2026Article
- Single-Cell Transcriptomics of Pyrimidine Salvage in HBV-Related HCC Reveals Prognostic and Immune Infiltration Features.Biomolecules & therapeutics · 2026Article
- Article
- Prognostic model construction and drug prediction in colorectal cancer using mitochondrial programmed cell death-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Molecular subtyping and prognostic model construction based on endosome-related genes in colorectal cancer.Journal of gastrointestinal oncology · 2026Article
- Lactate metabolic reprogramming and lactylation modification: molecular mechanisms reshaping the tumor immunosuppressive microenvironment.Cell & bioscience · 2026Review
- Lactate and lactylation: metabolic architects of tumor progression and metastasis.Cellular oncology (Dordrecht, Netherlands) · 2026Review
- Impact of Clonal Hematopoiesis of Indeterminate Potential on Treatment Response and Tumor Microenvironment in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy.Journal of mammary gland biology and neoplasia · 2026Article
- The Model Related to Hypoxia and Endoplasmic Reticulum Stress Predicting Prognosis and Immunotherapy Response in Uterine Corpus Endometrial Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2026Article
- Development of a lactate metabolism signature for predicting homologous recombination repair status in breast cancer.Scientific reports · 2026Article
- Calcium-related genes predict prognosis, immune characteristics, and response to immunotherapy in LUAD patients.Clinical proteomics · 2026Article
- Tumor suppressor gene chondroadherin opposes migration and proliferation in breast cancer and predicts a good survival.Discover oncology · 2026Article
- Understanding Immune Cell Adaptation to Tumor Hypoxia for Maximized Therapeutic Efficacy of Immunotherapy: Biology and Non-invasive Imaging Application.Cancer research and treatment · 2026Review
- AK3 as a Hypoxia-Angiogenesis-Related Prognostic Biomarker and Therapeutic Target in Clear Cell Renal Cell Carcinoma.International journal of general medicine · 2026Article
- Tumor lactate metabolism shapes immune suppression and therapeutic resistance revealed by integrative multi-omics and digital pathology.Frontiers in immunology · 2026Article
- Revitalizing T cells: breakthroughs and challenges in overcoming T cell exhaustion.Signal transduction and targeted therapy · 2026Review
- Construction of a Prognostic Model and Subgroup Characteristics Related to Hypoxia-Immune Evasion in T Cells of Hepatocellular Carcinoma Based on Single-Cell and Bulk RNA Analysis.Journal of hepatocellular carcinoma · 2026Article
- PCK1 attenuates intrahepatic cholangiocarcinoma progression by suppressing lactate accumulation and PI3K-AKT signaling.Functional & integrative genomics · 2025Article
- Machine Learning Models for Cancer Research: A Narrative Review of Bulk RNA-Seq Applications.International journal of molecular sciences · 2025Review
- Identification of a Novel miR-122-5p/CDC25A Axis and Potential Therapeutic Targets for Chronic Myeloid Leukemia.International journal of molecular sciences · 2025Article
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Authors and funding
18 authors.
Funding
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Abstract
Background: Breast cancer is the most common cancer worldwide. Hypoxia and lactate metabolism are hallmarks of cancer. This study aimed to construct a novel hypoxia- and lactate metabolism-related gene signature to predict the survival, immune microenvironment, and treatment response of breast cancer patients. Methods: RNA-seq and clinical data of breast cancer from The Cancer Genome Atlas database and Gene Expression Omnibus were downloaded. Hypoxia- and lactate metabolism-related genes were collected from publicly available data sources. The differentially expressed genes were identified using the "edgeR" R package. Univariate Cox regression, random survival forest (RSF), and stepwise multivariate Cox regression analyses were performed to construct the hypoxia-lactate metabolism-related prognostic model (HLMRPM). Further analyses, including functional enrichment, ESTIMATE, CIBERSORTx, Immune Cell Abundance Identifier (ImmuCellAI), TIDE, immunophenoscore (IPS), pRRophetic, and CellMiner, were performed to analyze immune status and treatment responses. Results: We identified 181 differentially expressed hypoxia-lactate metabolism-related genes (HLMRGs), 24 of which were valuable prognostic genes. Using RSF and stepwise multivariate Cox regression analysis, five HLMRGs were included to establish the HLMRPM. According to the medium-risk score, patients were divided into high- and low-risk groups. Patients in the high-risk group had a worse prognosis than those in the low-risk group ( Conclusions: We constructed a novel prognostic signature combining lactate metabolism and hypoxia to predict OS, immune status, and treatment response of patients with breast cancer, providing a viewpoint for individualized treatment.
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