AIMC Journal:
Translational cancer research

Showing 1 to 6 of 6 articles

Identification and validation of hypoxia-associated genes positively correlated with in pulmonary adenocarcinoma.

Translational cancer research
BACKGROUND: Hypoxia contributes to the proliferation, migration, and chemotherapy resistance of lung adenocarcinoma (LUAD). This study aimed to identify hypoxia-related genes (HRGs) in LUAD that were positively correlated with hypoxia-inducible facto...

Integrated analysis of uterine leiomyosarcoma and leiomyoma utilizing TCGA and GEO data: a WGCNA and machine learning approach.

Translational cancer research
BACKGROUND: Uterine sarcoma is a gynecological mesenchymal tumor with an elusive pathogenesis. The uterine leiomyosarcoma (LMS) is the most common subtype of uterine sarcoma. LMS is a highly aggressive tumor with a poor prognosis. The genomic landsca...

Deep learning for fine-grained molecular-based colorectal cancer classification.

Translational cancer research
BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies globally and a major cause of cancer-related deaths. In the molecular diagnosis of CRC, microsatellite instability (MSI) status and mutations in genes such as , , and are imp...

Machine learning-driven prognostic model based on sphingolipid-related gene signature in pancreatic cancer: development and validation.

Translational cancer research
BACKGROUND: Pancreatic cancer, a highly malignant tumor with poor prognosis, lacks effective early diagnosis and treatment strategies. Sphingolipids have emerged as key players in tumorigenesis, with certain sphingolipid-related genes linked to patie...

Machine learning and deep learning to improve overall survival prediction in cervical cancer patients.

Translational cancer research
BACKGROUND: Cervical cancer (CC) is one of the most common gynecological malignancies. Previous studies have shown that the prognosis of CC is affected by many factors. Our study aimed to identify key prognostic factors and use machine learning and d...

Identification of neuronal synapse-related signatures and potential therapeutic drugs in colorectal cancer based on machine learning algorithms and molecular docking.

Translational cancer research
BACKGROUND: Nervous system-cancer interactions can regulate tumorigenesis, invasion, and metastasis. However, specific biomarkers for targeting neuron synapse in colorectal cancer (CRC) remain unexplored. This study aims to develop a neuronal synapse...