AIMC Topic: Anoikis
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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.
Scientific reports
May 1, 2025
Anoikis and immune cell infiltration are pivotal factors in the pathophysiological mechanism of diabetic nephropathy (DN), yet a comprehensive understanding of the mechanism is lacking. This work aimed to pinpoint distinctive anoikis-related genes (A...
Prediction and validation of anoikis-related genes in neuropathic pain using machine learning.
PloS one
Feb 27, 2025
BACKGROUND: Neuropathic pain (NP) can be induced by a variety of clinical conditions, such as spinal cord injury, lumbar disc herniation (LDH), lumbar spinal stenosis, diabetes, herpes zoster, and spinal cord tumors, and inflammatory stimuli. The pat...
Novel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning.
Scientific reports
Dec 28, 2024
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is characterized by acute onset and poor prognosis, while the pathogenesis of AD is still unclear and may affect or even delay the diagnosis of AD. Ancho...
Machine learning based anoikis signature predicts personalized treatment strategy of breast cancer.
Frontiers in immunology
Nov 22, 2024
BACKGROUND: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the urgent need for innovative prognostic tools to improve treatment strategies. Anoikis, a form of programmed cell death critical in preventing metasta...
Integration of Machine Learning and Experimental Validation to Identify Anoikis-Related Prognostic Signature for Predicting the Breast Cancer Tumor Microenvironment and Treatment Response.
Genes
Nov 12, 2024
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The underlying role of ANRGs in the prognosis of breast cancer patients warrants further study. The anoikis-related prognostic signature (ANRS) was gene...
Biomarkers, Tumor
Middle Aged
Antineoplastic Agents
Real-Time Polymerase Chain Reaction
Reverse Transcriptase Polymerase Chain Reaction
Gene Expression
Machine Learning
Gene Expression Profiling
Aged
Blotting, Western
Transcriptome
Imatinib Mesylate
Breast Neoplasms
Databases, Genetic
Proportional Hazards Models
Immunotherapy
Tumor Microenvironment
Prognosis
Predictive Value of Tests
Anoikis
Enzyme-Linked Immunosorbent Assay
Female
Drug Screening Assays, Antitumor
Treatment Outcome
Reproducibility of Results
Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma.
Frontiers in immunology
Oct 11, 2024
BACKGROUND: Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. Anoikis and ErbB signaling pathways are pivotal in cancer cell proliferation and metastasis, but thei...
Integration of Bulk RNA and Single-Cell Analyses Reveal Distinct Expression Patterns of Anoikis-Related Genes and the Immunosuppressive Role of NQO1 Macrophages in Hepatocellular Carcinoma.
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
May 31, 2025
Anoikis resistance plays a crucial role in the proliferation, metastasis, and invasion of hepatocellular carcinoma (HCC). However, the key genes involved remain to be identified. This study aimed to investigate the prognostic value and impact of anoi...
Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma.
Scientific reports
May 26, 2025
Kidney renal clear cell carcinoma (KIRC), a cancer characterized by substantial immune infiltration, exhibits limited sensitivity to conventional radiochemotherapy. Although immunotherapy has shown efficacy in some patients, its applicability is not ...
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