ArticleAging2020
Development of prognostic index based on autophagy-related genes analysis in breast cancer.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Targeting protein tyrosine phosphatase non-receptor type 6 (PTPN6) as a therapeutic strategy in acute myeloid leukemia.Cell biology and toxicology · 2024Article
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- Prognostic model and immune-infiltrating cell landscape based on differentially expressed autophagy-related genes in TP53-mutated multiple myeloma.Archives of medical science : AMS · 2024Article
- A Prognostic Risk Signature of Two Autophagy-Related Genes for Predicting Triple-Negative Breast Cancer Outcomes.Breast cancer (Dove Medical Press) · 2024Article
- Construction of a prognostic risk assessment model for HER2 + breast cancer based on autophagy-related genes.Breast cancer (Tokyo, Japan) · 2023Article
- Tumor senescence leads to poor survival and therapeutic resistance in human breast cancer.Frontiers in oncology · 2023Article
- Autophagy-related genes affect the survival of multiple myeloma patients depending on chromosomal abnormality.Asian biomedicine : research, reviews and news · 2022Article
- Identification of an autophagy-related gene signature for predicting prognosis and immune activity in pancreatic adenocarcinoma.Scientific reports · 2022Article
- Autophagy awakens-the myriad roles of autophagy in head and neck cancer development and therapeutic response.Molecular carcinogenesis · 2022Review
- The cuproptosis-related signature predicts prognosis and indicates immune microenvironment in breast cancer.Frontiers in genetics · 2022Article
- Five crucial prognostic-related autophagy genes stratified female breast cancer patients aged 40-60 years.BMC bioinformatics · 2021Article
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- NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma.Cancer cell international · 2021Article
- A systematic analysis of a potential metabolism-related prognostic signature for breast cancer patients.Annals of translational medicine · 2021Article
- Identification of an Autophagy-Related Pair Signature for Predicting Prognoses and Immune Activity in Pancreatic Adenocarcinoma.Frontiers in immunology · 2021Article
- N6-methyladenosine Regulator-Mediated Immune Genes Identify Breast Cancer Immune Subtypes and Predict Immunotherapy Efficacy.Frontiers in genetics · 2021Article
- Roles of the Immune/Methylation/Autophagy Landscape on Single-Cell Genotypes and Stroke Risk in Breast Cancer Microenvironment.Oxidative medicine and cellular longevity · 2021Article
- A Signature of Autophagy-Related Long Non-coding RNA to Predict the Prognosis of Breast Cancer.Frontiers in genetics · 2021Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutophagy is a self-digesting process that can satisfy the metabolic needs of cells, and is closely related to development of cancer. However, the effect of autophagy-related genes (ARGs) on the prognosis of breast cancer remains unclear.
resultsWe first found that 27 ARGs were significantly associated with overall survival in breast cancer. The prognosis-related ARGs signature established using the Cox regression model consists of 12 ARGs that can be divided patients into high-risk and low-risk groups. The overall survival of patients with high-risk scores (HR 3.652, 2.410-5.533; P < 0.001) was shorter than patients with low-risk scores. The area under the receiver operating characteristic (ROC) curve for 1-year, 3-year, and 5-year survival rates were 0.739, 0.727, and 0.742, respectively.
conclusionThe12-ARGs marker can predict the prognosis of breast cancer and thus help individualized treatment of patients at different risks.
methodsBased on the TCGA dataset, we integrated the expression profiles of ARGs in 1,039 breast cancer patients. Differentially expressed ARGs and survival-related ARGs were evaluated by computational difference algorithm and COX regression analysis. In addition, we also explored the mutations in these ARGs. A new prognostic indicator based on ARGs was developed using multivariate COX analysis.
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