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BI 1703880, a novel STimulator of INterferon Genes (STING) agonist, has demonstrated preclinical antitumor activity. As STING activation can upregulate programmed death ligand 1 and human leukocyte antigen in tumor cells, a combination of BI 1703880 and an anti-programmed cell death protein 1-antibody, such as ezabenlimab, may improve efficacy. This first-in-human phase Ia study (NCT05471856) is evaluating BI 1703880 plus ezabenlimab in patients with advanced solid tumors.
View Article and Find Full Text PDFAutomatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radiomics model.
Diagn Interv Radiol
January 2025
Huadong Hospital, Fudan University, Department of Thoracic Surgery, Shanghai, China.
Purpose: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunotherapy, but there are no reliable, accepted biomarkers to accurately predict its therapeutic efficacy. The present study aimed to construct individualized models through automatic machine learning (autoML) to predict the efficacy of immunotherapy in patients with inoperable advanced NSCLC.
Methods: A total of 63 eligible participants were included and randomized into training and validation groups.
Weight and Blood-Based Markers of Cachexia Predict Disability, Hospitalization and Worse Survival in Cancer Immunotherapy Patients.
J Cachexia Sarcopenia Muscle
February 2025
Center for Health Information Partnerships, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Background: Cancer-associated cachexia can inhibit immune checkpoint inhibitor (ICI) therapy efficacy. Cachexia's effect on ICI therapy has not been studied in large cohorts of cancer patients aside from lung cancer. We studied associations between real-world routinely collected clinical cachexia markers and disability-free, hospitalization-free and overall survival of cancer patients.
View Article and Find Full Text PDFIdentification of SETD4 as an Onco-Immunological Biomarker Encompassing the Tumor Microenvironment, Prognoses, and Therapeutic Responses in Various Human Cancers.
Immun Inflamm Dis
January 2025
Second Department of Oncology, Guangdong Second Provincial General Hospital, Guangzhou, China.
Background: SET domain-containing protein 4 (SETD4) is a histone methyltransferase that has been shown to modulate cell proliferation, differentiation, and inflammatory responses by regulating histone H4 trimethylation (H4K20me3). Previous reports have demonstrated its function in the quiescence of cancer stem cells as well as drug resistance in several cancers. A limited number of systematic studies have examined SETD4's role in the tumor microenvironment, pathogenesis, prognosis, and therapeutic response.
View Article and Find Full Text PDFNovel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.
Curr Med Chem
January 2025
Shree S K Patel College of Pharmaceutical Education and Research, Ganpat University, Mahesana, Gujarat, 384012, India.
Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.
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