AIMC Topic: Immunotherapy

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Overcoming resistance to anti-PD-L1 immunotherapy: mechanisms, combination strategies, and future directions.

Molecular cancer
Cancer cells express high levels of programmed cell death-ligand 1 (PD-L1) to evade immune surveillance. PD-L1 interacts with PD-1 on T cells to make them non-functional. Thus, PD-L1 and PD-1 are pivotal targets in cancer immunotherapy. While anti-PD...

CIMT 2025: Report on the 22 Annual Meeting of the Association for Cancer Immunotherapy.

Human vaccines & immunotherapeutics
The 22 Annual Meeting of the Association for Cancer Immunotherapy (CIMT) was held from May 12 to May 14, 2025, in Mainz, Germany. The event brought together 674 academic and clinical professionals from 27 countries across five continents. As a centra...

Prediction of high-performing spleen-targeted lipid nanoparticles using a deep learning model for robust anticancer immunotherapy.

Journal of materials chemistry. B
Messenger RNA (mRNA) therapeutics hold significant potential across a wide range of medical applications. LNPs are the most clinically advanced mRNA delivery vehicles, but challenges such as off-target effects and liver accumulation limit their broad...

Immune subtyping of lymph node metastasis-negative colorectal cancer reveals biomarkers for prognosis and immunotherapy response.

PloS one
BACKGROUND: Lymph node metastasis (LNM) is a key prognostic factor in colorectal cancer (CRC), and early lymph node status assessment is crucial for prognosis and immunotherapy decisions. However, the immune characteristics of LNM-negative CRC remain...

Recent Advances in Diagnostic Strategies and Nanotechnology-Based Therapies for Ovarian Cancer Treatment.

ACS applied bio materials
Ovarian cancer is a global silent killer in women and is the second most common cause of gynecologic cancer-related deaths. Despite significant research and advances in treatment, ovarian cancer treatment remains a challenge, as it is diagnosed in an...

Single-cell RNA sequencing identifies CD8Teff cell activation as a predictive biomarker in triple-negative breast cancer immunotherapy.

Molecular biomedicine
Immunotherapy has emerged as a promising treatment option for triple-negative breast cancer (TNBC); however, the pronounced heterogeneity of the tumor immune microenvironment significantly hinders the prediction of therapeutic efficacy, with effectiv...

High transposable element expression in sarcomas is associated with increased immune infiltrates and improved outcomes including after immunotherapy.

Journal for immunotherapy of cancer
BACKGROUND: Response to immune checkpoint inhibition (ICI) in sarcomas is overall low and heterogeneous. Understanding determinants of ICI outcomes may improve efficacy and patient selection. Thus, we investigated whether the expression of transposab...

KPNA2 expression as a biomarker for immunosuppressive microenvironment predicting response to TKI and immunotherapy in metastatic renal cell carcinoma.

European journal of pharmacology
BACKGROUND: Immunotherapy (IO) combined with tyrosine kinase inhibitors (TKI) are now first-line therapy for advanced renal cell carcinoma (RCC), though reliable predictive biomarkers remain elusive. Recent evidence demonstrates that karyopherin α2 s...

An attention-based mRNA transformer network for accurate prediction of melanoma response to immune checkpoint inhibitors.

Scientific reports
Melanoma immunotherapy urgently requires approaches that can accurately predict drug responses to minimize unnecessary treatments. Deep learning models have emerged as powerful tools in this domain due to their robust predictive capabilities. Integra...

Immune-related adverse events of neoadjuvant immunotherapy in patients with perioperative cancer: a machine-learning-driven, decade-long informatics investigation.

Journal for immunotherapy of cancer
Research on neoadjuvant immunotherapy (NAI) is increasingly focusing on immunotherapy-related adverse events (AEs). However, many unknowns remain in this field. Hence, through the machine learning (ML)-driven informatics analysis, this study aimed to...