Skin Cancer

Influence of body composition on the efficacy of nivolumab plus ipilimumab for metastatic clear cell renal cell carcinoma.

BACKGROUND: Immune checkpoint inhibitor therapy (ICI) with nivolumab+ipilimumab is a first-line (1L) standard for metastatic clear cell renal cell carcinoma (ccRCC), yet outcomes remain heterogeneous. Increasing evidence suggests that host factors influence the tumor microenvironment and response to ICI. Although higher body mass index (BMI) has been associated with improved outcomes in several ma...

TCR sequencing in cancer immunology and immunotherapy: what, when, where, why, and how.

T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), and joining (J) gene segments, resulting in an extraordinarily diverse receptor repertoire that is essential for immune surveillance and host defense. TCR sequencing (TCR-seq) has emerged as a powerful tool for comprehensive characterization of the adaptive immune repertoire, offering deep insights ...

A high density of T-cell lymphocytes and Tregs subset correlate to a worse survival in major salivary gland carcinomas.

Salivary gland carcinomas (SGC) are rare and heterogeneous tumors with limited therapeutic options in advanced stages. Recent evidence suggests a pote...

GSDME-mediated pyroptosis modulates the immunosuppressive microenvironment in lung adenocarcinoma.

Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise impact on tumor prognosis and the immune microenviron...

Multi-omics profiling reveals cholic acid-mediated immunosuppression driven by peritumoral ductular reactions in hepatocellular carcinoma.

Hepatocellular carcinoma remains a leading cause of cancer mortality worldwide, with peritumoral microenvironment interactions playing a critical role...

Distinct Tumor-Immune Ecologies in Patients with Lung Cancer Predict Progression and Define a Clinical Biomarker of Therapy Response.

UNLABELLED: Multiplexed imaging of tissues is an approach that holds promise for improving early detection, diagnosis, and treatment of cancer. In thi...

Developing a Metabolic-Associated Prognostic Index for Risk Stratification and Therapeutic Guidance in Stage I Lung Adenocarcinoma via Multiomics Analysis.

PURPOSE: Early-stage lung adenocarcinoma (LUAD) exhibits substantial clinical heterogeneity that is not fully explained by TNM staging, highlighting t...

Machine Learning Reveals the Association Between Gene Expression and Immune Infiltration in Colorectal Cancer: A Comprehensive Study From Single-Cell to Survival Analysis.

Colorectal cancer (CRC) is one of the most common causes of cancer mortality globally. Analysis of immune cell infiltration patterns in the tumour mic...

Adverse reactions of PD-1/PD-L1 inhibitors in cancer: FAERS database analysis and protocols to mitigate immune-related events in elderly patients and when using pembrolizumab and atezolizumab.

OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) in...

Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

Immune checkpoint inhibitors (ICIs) have transformed the advanced melanoma treatment landscape; however, a subset of patients achieve durable response...

Integrated machine learning risk model for predicting radiation pneumonitis in lung cancer patients with interstitial lung disease.

BACKGROUND: Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-existing interstitial lung disease (ILD) undergoing ...

Deep Learning-Enhanced Biomarker Interpretation on Cytology Cell Blocks - Foundations and Emerging Opportunities in Spatial Pathobiology.

Cytology cell block specimens are essential diagnostic materials in patients with advanced-stage malignancy and often represent the only available sub...

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the production of chimeric antigen receptor (CAR) T cells ...

CXCL9 as a key feature for deep learning-based immune subtyping and prediction of immune checkpoint blockade response in triple-negative breast cancer.

BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for patients with triple-negative breast cancer (TNBC)....

Deep Learning for Classification and Prognosis of Melanoma in Whole-Slide Images: A Review.

The rising incidence of melanoma highlights the limitations of traditional diagnostic methods, including inefficiency, subjectivity, and poor quantifi...

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy.

Cancer immunotherapy, which leverages the immune system to combat tumor cells, has made significant advancements in oncology treatment in recent years...

Phosphoenolpyruvate carboxykinase 2 as a prognostic biomarker: expression and clinical significance in Group 3 and Group 4 medulloblastoma.

PURPOSE: Despite Phosphoenolpyruvate carboxykinase 2 (PCK2) has attracted growing attention as a potential biomarker in cancer research, its role in m...

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.

Advances in immunotherapy, particularly with immune checkpoint inhibitors, have improved clinical outcomes in various cancer subtypes; however, resist...

Ultrasound-Responsive Serotonylation and Hallmark Pathway Gene Signatures Reveal Tumor Microenvironment Vulnerabilities and Prognostic Subtypes in Colorectal Cancer.

BACKGROUND: Focused ultrasound, low-intensity focused ultrasound, and microbubble-enhanced sonoporation are examples of ultrasound-based cancer therap...

A machine learning model integrating circulating Temra cell transcriptional profiles to predict immunotherapy efficacy.

BACKGROUND: While immunotherapy has transformed treatment paradigms for cancer, durable response rates remain below 30%. Currently available biomarker...