AI Medical Compendium Journal:
Cancer immunology, immunotherapy : CII

Showing 1 to 7 of 7 articles

Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine learning, and experimental validation.

Cancer immunology, immunotherapy : CII May 27, 2025
BACKGROUND: Chaperonin containing TCP1 subunit 5 (CCT5), a vital component of the molecular chaperonin complex, has been implicated in tumorigenesis, cancer stemness maintenance, and therapeutic resistance. Nevertheless, its comprehensive roles in pa...
Prognosis Tumor Microenvironment Biomarkers, Tumor Humans Machine Learning Neoplasms Multiomics Immunotherapy Neoplastic Stem Cells Chaperonin Containing TCP-1
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Clinical characteristics, outcomes, and predictive modeling of patients diagnosed with immune checkpoint inhibitor therapy-related pneumonitis.

Cancer immunology, immunotherapy : CII May 9, 2025
PURPOSE: The aim of this study is to better characterize the clinical characteristics and outcomes of patients diagnosed with Immune checkpoint Inhibitor (ICI) pneumonitis and propose predictive models.
Immune Checkpoint Inhibitors Pneumonia Female Humans Middle Aged Aged Male Prognosis Machine Learning Neoplasms Retrospective Studies
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Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target.

Cancer immunology, immunotherapy : CII Feb 25, 2025
BACKGROUND: The pathogenesis and progression of renal cell carcinoma (RCC) involve complex programmed cell death (PCD) processes. As the powerhouse of the cell, mitochondria can influence cell death mechanisms. However, the prognostic significance of...
Male Cell Line, Tumor Gene Expression Regulation, Neoplastic Tumor Microenvironment Biomarkers, Tumor Kidney Neoplasms Carcinoma, Renal Cell Apoptosis Mitochondria Humans Prognosis Female Machine Learning
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Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer.

Cancer immunology, immunotherapy : CII Feb 1, 2025
With the incorporation of immune checkpoint inhibitors into the treatment of endometrial cancer (EC), a deeper understanding of the tumor immune microenvironment is critical. Tertiary lymphoid structures (TLSs) are considered favorable prognostic fac...
Humans Female Artificial Intelligence Aged Middle Aged Endometrial Neoplasms Clinical Relevance Tumor Microenvironment Prognosis Lymphocytes, Tumor-Infiltrating Tertiary Lymphoid Structures
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Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study.

Cancer immunology, immunotherapy : CII Dec 21, 2024
BACKGROUND: Existing biomarkers and models for predicting response to programmed cell death protein 1 monoclonal antibody in advanced squamous-cell non-small cell lung cancer (sqNSCLC) did not have enough accuracy. We used data from the ORIENT-3 stud...
Carcinoma, Non-Small-Cell Lung Lung Neoplasms Antibodies, Monoclonal, Humanized Male Middle Aged Prognosis Female Humans Aged Carcinoma, Squamous Cell Neural Networks, Computer Biomarkers, Tumor
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Integration of deep learning and habitat radiomics for predicting the response to immunotherapy in NSCLC patients.

Cancer immunology, immunotherapy : CII Jun 4, 2024
BACKGROUND: The non-invasive biomarkers for predicting immunotherapy response are urgently needed to prevent both premature cessation of treatment and ineffective extension. This study aimed to construct a non-invasive model for predicting immunother...
Radiomics Male Deep Learning ROC Curve Middle Aged Prognosis Female Aged Humans Lung Neoplasms Carcinoma, Non-Small-Cell Lung Immunotherapy
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Integrative analysis of single-cell and bulk RNA sequencing unveils a machine learning-based pan-cancer major histocompatibility complex-related signature for predicting immunotherapy efficacy.

Cancer immunology, immunotherapy : CII May 7, 2024
Major histocompatibility complex (MHC) could serve as a potential biomarker for tumor immunotherapy, however, it is not yet known whether MHC could distinguish potential beneficiaries. Single-cell RNA sequencing datasets derived from patients with im...
Major Histocompatibility Complex Humans Single-Cell Analysis Biomarkers, Tumor Immunotherapy Machine Learning Sequence Analysis, RNA Neoplasms Prognosis
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