Deciphering the tumor immune microenvironment from a multidimensional omics perspective: insight into next-generation CAR-T cell immunotherapy and beyond

Molecular Cancer, Journal Year: 2024, Volume and Issue: 23(1)

Published: June 26, 2024

Abstract Tumor immune microenvironment (TIME) consists of intra-tumor immunological components and plays a significant role in tumor initiation, progression, metastasis, response to therapy. Chimeric antigen receptor (CAR)-T cell immunotherapy has revolutionized the cancer treatment paradigm. Although CAR-T emerged as successful for hematologic malignancies, it remains conundrum solid tumors. The heterogeneity TIME is responsible poor outcomes against advancement highly sophisticated technology enhances our exploration from multi-omics perspective. In era machine learning, studies could reveal characteristics its resistance mechanism. Therefore, clinical efficacy tumors be further improved with strategies that target unfavorable conditions TIME. Herein, this review seeks investigate factors influencing formation propose improving effectiveness through perspective, ultimate goal developing personalized therapeutic approaches.

Language: Английский

---

A multiomics analysis-assisted deep learning model identifies a macrophage-oriented module as a potential therapeutic target in colorectal cancer

Cell Reports Medicine, Journal Year: 2024, Volume and Issue: 5(2), P. 101399 - 101399

Published: Feb. 1, 2024

Colorectal cancer (CRC) is a common malignancy involving multiple cellular components. The CRC tumor microenvironment (TME) has been characterized well at single-cell resolution. However, spatial interaction map of the TME still elusive. Here, we integrate multiomics analyses and establish to improve prognosis, prediction, therapeutic development for CRC. We construct immune module (CCIM) that comprises FOLR2+ macrophages, exhausted CD8+ T cells, tolerant CD4+ regulatory cells. Multiplex immunohistochemistry performed depict CCIM. Based on this, utilize advanced deep learning technology predict chemotherapy response. CCIM-Net constructed, which demonstrates good predictive performance response in both training testing cohorts. Lastly, targeting macrophage therapeutics used disrupt immunosuppressive CCIM enhance vivo.

Language: Английский

---

Innate immune cells: Key players of orchestra in modulating tumor microenvironment (TME)

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e27480 - e27480

Published: March 1, 2024

The tumor microenvironment (TME) with vital role in cancer progression is composed of various cells such as endothelial cells, immune and mesenchymal stem cells. In particular, innate macrophages, dendritic myeloid-derived suppressor neutrophils, lymphoid γδT lymphocytes, natural killer can either promote or suppress when present the TME. An increase research on cross-talk between TME will lead to new approaches for anti-tumoral therapeutic interventions. This review primarily focuses biology their main functions addition, it summarizes several immune-based immunotherapies that are currently tested clinical trials.

Language: Английский

---

Cell-cell communication characteristics in breast cancer metastasis

Cell Communication and Signaling, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 19, 2024

Abstract Breast cancer, a highly fatal disease due to its tendency metastasize, is the most prevalent form of malignant tumors among women worldwide. Numerous studies indicate that breast cancer exhibits unique predilection for metastasis specific organs including bone, liver, lung, and brain. However, different types of, The understanding heterogeneity metastatic has notably improved with recent advances in high-throughput sequencing techniques. Focusing on modification microenvironment crosstalk between tumor cells situ cells, noteworthy research points include identification two distinct modes growth bone metastases, influence type II pneumocyte lung paradoxical role Kupffer liver breakthrough blood-brain barrier (BBB) breach brain metastases. Overall, this review provides comprehensive overview characteristics shedding light pivotal roles immune resident development foci. Graphical

Language: Английский

---

Spatial Transcriptome‐Wide Profiling of Small Cell Lung Cancer Reveals Intra‐Tumoral Molecular and Subtype Heterogeneity

Advanced Science, Journal Year: 2024, Volume and Issue: 11(31)

Published: June 19, 2024

Abstract Small cell lung cancer (SCLC) is a highly aggressive malignancy characterized by rapid growth and early metastasis susceptible to treatment resistance recurrence. Understanding the intra‐tumoral spatial heterogeneity in SCLC crucial for improving patient outcomes clinically relevant subtyping. In this study, whole transcriptome‐wide analysis of 25 patients at sub‐histological resolution using GeoMx Digital Spatial Profiling technology performed. This deciphered multi‐regional heterogeneity, distinct molecular profiles, biological functions, immune features, subtypes within spatially localized histological regions. Connections between different transcript‐defined phenotypes their impact on survival therapeutic response are also established. Finally, gene signature, termed ITHtyper, based prevalence levels, which enables risk stratification from bulk RNA‐seq profiles identified. The prognostic value ITHtyper rigorously validated independent multicenter cohorts. study introduces preliminary tumor‐centric, regionally targeted transcriptome resource that sheds light previously unexplored SCLC. These findings hold promise improve tumor reclassification facilitate development personalized treatments patients.

Language: Английский

---