Journal Article

Precision medicine for human cancers with Notch signaling dysregulation (Review)

Katoh, Masuko, Katoh, Masaru

2020

Overview

NOTCH1, NOTCH2, NOTCH3 and NOTCH4 are transmembrane receptors that transduce juxtacrine signals of the delta-like canonical Notch ligand (DLL)1, DLL3, DLL4, jagged canonical Notch ligand (JAG)1 and JAG2. Canonical Notch signaling activates the transcription of BMI1 proto-oncogene polycomb ring finger, cyclin D1, CD44, cyclin dependent kinase inhibitor 1A, hes family bHLH transcription factor 1, hes related family bHLH transcription factor with YRPW motif 1, MYC, NOTCH3, RE1 silencing transcription factor and transcription factor 7 in a cellular context-dependent manner, while non-canonical Notch signaling activates NF-κB and Rac family small GTPase 1. Notch signaling is aberrantly activated in breast cancer, non-small-cell lung cancer and hematological malignancies, such as T-cell acute lymphoblastic leukemia and diffuse large B-cell lymphoma. However, Notch signaling is inactivated in small-cell lung cancer and squamous cell carcinomas. Loss-of-function NOTCH1 mutations are early events during esophageal tumorigenesis, whereas gain-of-function NOTCH1 mutations are late events during T-cell leukemogenesis and B-cell lymphomagenesis. Notch signaling cascades crosstalk with fibroblast growth factor and WNT signaling cascades in the tumor microenvironment to maintain cancer stem cells and remodel the tumor microenvironment. The Notch signaling network exerts oncogenic and tumor-suppressive effects in a cancer stage- or (sub)type-dependent manner. Small-molecule γ-secretase inhibitors (AL101, MRK-560, nirogacestat and others) and antibody-based biologics targeting Notch ligands or receptors [ABT-165, AMG 119, rovalpituzumab tesirine (Rova-T) and others] have been developed as investigational drugs. The DLL3-targeting antibody-drug conjugate (ADC) Rova-T, and DLL3-targeting chimeric antigen receptor-modified T cells (CAR-Ts), AMG 119, are promising anti-cancer therapeutics, as are other ADCs or CAR-Ts targeting tumor necrosis factor receptor superfamily member 17, CD19, CD22, CD30, CD79B, CD205, Claudin 18.2, fibroblast growth factor receptor (FGFR)2, FGFR3, receptor-type tyrosine-protein kinase FLT3, HER2, hepatocyte growth factor receptor, NECTIN4, inactive tyrosine-protein kinase 7, inactive tyrosine-protein kinase transmembrane receptor ROR1 and tumor-associated calcium signal transducer 2. ADCs and CAR-Ts could alter the therapeutic framework for refractory cancers, especially diffuse-type gastric cancer, ovarian cancer and pancreatic cancer with peritoneal dissemination. Phase III clinical trials of Rova-T for patients with small-cell lung cancer and a phase III clinical trial of nirogacestat for patients with desmoid tumors are ongoing. Integration of human intelligence, cognitive computing and explainable artificial intelligence is necessary to construct a Notch-related knowledge-base and optimize Notch-targeted therapy for patients with cancer.

• Publisher: D.A. Spandidos,Spandidos Publications,Spandidos Publications UK Ltd
• Subject: Acute lymphocytic leukemia / angiogenesis / Antibodies / Antigens / Artificial intelligence / Artificial neural networks / B cells / Biological products / Breast cancer / Cancer / cancer-associated fibroblasts / Cell growth / Clinical trials / computer-aided diagnostics / Cyclin-dependent kinases / Data mining / deep learning / Drug therapy / Drugs / Epigenetics / Esophagus / Explosions / Fibroblast growth factors / Fibroblasts / Gastric cancer / Health aspects / HES1 / HEY1 / Homeostasis / immune evasion / Immunologic factors / Kinases / Leukemia / Ligands / Lung cancer / Lymphocytic leukemia / Lymphoma / Lymphomas / Mutation / myeloid-derived suppressor cells / Myogenesis / Natural language processing / Necrosis / neural network / Non-small cell lung cancer / Ovarian cancer / Pancreatic cancer / Phenols (Class of compounds) / Phosphatase / Phosphorylation / Precision medicine / Protein kinases / Proteins / regulatory T cells / REST / Squamous cell carcinoma / Stem cells / T cells / TCF7 / text mining / Transcription factors / Tumorigenesis / Tumors / Tyrosine