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Modulation of Oncogenic NOTCH Signaling in Highly Aggressive Malignancies by Targeting the γ-Secretase Complex: A
Pablo Martínez-Gascueña1, María-Luisa Nueda2, Victoriano Baladrón3
1Servicio de Cardiología, Hospital Clínico San Carlos, C/del Profesor Martín Lagos, S/N, Moncloa-Aravaca, 29040 Madrid, Spain.
Abstract:
Background. NOTCH receptors play a pivotal role in carcinogenesis. Upon ligand binding, a cascade of proteolytic cleavages mediated by ADAM proteases and the γ-secretase complex activates the receptor, ultimately releasing the NOTCH intracellular domain (NICD). NICD translocates to the nucleus, where it regulates gene expression. This review mainly aims to evaluate γ-secretase inhibitors (GSIs) as anticancer agents in preclinical and clinical settings, with a focus on their ability to block tumor progression, target cancer stem cells, and overcome resistance to standard therapies. Methods. A systematic search was conducted in the ISI Web of Science, PubMed, and Scopus databases, following PRISMA guidelines. The review included preclinical in vitro and in vivo studies, as well as clinical trials, investigating GSIs, either as monotherapy or in combination with other treatments, in TNBC, metastatic melanoma, PDAC, gastric cancer, and NSCLC. Exclusion criteria included duplicates, non-English articles, studies published before 2010, studies on non-cancer conditions, research unrelated to NOTCH signaling, and studies outside the selected cancer types. Overall, 69 articles were included and categorized into the five types of cancer analyzed (20 on NSCLC, 22 on TNBC, 11 on metastatic melanoma, 7 on GC, and 9 on PDAC). Of these, 60 studies corresponded to preclinical research in the types of cancer, and 9 studies corresponded to clinical trials in the types of cancer except for GC. Two independent authors screened and extracted relevant data, with disagreements resolved by the corresponding author. Findings were synthesized qualitatively across cancer types under study. Results. This review summarizes therapeutic advances involving GSIs in cancers driven by oncogenic NOTCH signaling, based on the 69 articles included. Preclinical studies show that GSIs synergize with chemotherapy and radiotherapy, particularly in NSCLC, melanoma, and TNBC, and block EMT, overcome therapeutic resistance, and improve prognosis. Commonly used GSIs include DAPT and RO4929097, which enhance the efficacy of agents, such as gemcitabine (PDAC), paclitaxel, osimertinib, erlotinib, and crizotinib (NSCLC), and 5-FU (gastric cancer, TNBC). Promising strategies include combining GSIs with SAHA, ATRA, CB-103, and other NOTCH signaling targeting molecules, either alone or with chemo- and radiotherapy. Clinical trials with GSIs, however, remain limited. RO4929097 is the most extensively tested GSI in clinical settings. PDAC trials combining GSIs with gemcitabine showed no benefit; melanoma trials yielded modest outcomes; and TNBC trials demonstrated partial responses to GSIs but overall low efficacy and significant adverse events. Discussion and Conclusions. Despite encouraging preclinical evidence, clinical trials with GSIs have underperformed, largely due to tumor heterogeneity, dosing limitations, and the non-selective nature of γ-secretase inhibition. Other NOTCH inhibitors, such as DLL4 antibodies, also resulted in partial responses and secondary effects. Future strategies should prioritize receptor-specific NOTCH inhibitors, patient stratification based on NOTCH pathway activation, and optimized combination regimens. Emerging approaches include integrating immunotherapy with advanced technologies such as CRISPR, CAR-T cells, and bispecific antibodies, as well as targeted delivery systems to enhance efficacy and reduce toxicity. Additional research directions include addressing the tumor microenvironment and EMT-driven resistance, elucidating the mechanisms of immune evasion, and inhibiting tumor angiogenesis. Finally, leveraging artificial intelligence and big-data-driven personalized medicine, including sex-specific considerations, will be essential for improving patient outcomes.
Insights
γ-secretase inhibitors (GSIs) show promise in preclinical cancer studies by blocking tumor progression and overcoming resistance. However, clinical trials reveal limited efficacy and significant adverse events, necessitating novel strategies for improved patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- NOTCH receptors are crucial in cancer development.
- Activation of NOTCH signaling involves proteolytic cleavages by ADAM proteases and the γ-secretase complex.
- The NOTCH intracellular domain (NICD) regulates gene expression upon nuclear translocation.
Purpose of the Study:
- To evaluate γ-secretase inhibitors (GSIs) as anticancer agents in preclinical and clinical settings.
- To assess the ability of GSIs to block tumor progression, target cancer stem cells, and overcome therapy resistance.
- To review therapeutic advances involving GSIs in cancers driven by oncogenic NOTCH signaling.
Main Methods:
- Systematic literature search following PRISMA guidelines in Web of Science, PubMed, and Scopus.
- Inclusion of preclinical in vitro/in vivo studies and clinical trials investigating GSIs in NSCLC, TNBC, melanoma, gastric cancer, and PDAC.
- Qualitative synthesis of findings from 69 included articles (60 preclinical, 9 clinical).
Main Results:
- Preclinical studies demonstrate GSI synergy with chemotherapy/radiotherapy, blocking EMT, and overcoming resistance in NSCLC, melanoma, and TNBC.
- GSIs like DAPT and RO4929097 enhance efficacy of agents like gemcitabine, paclitaxel, and osimertinib.
- Clinical trials show limited benefit, with PDAC trials yielding no improvement, melanoma trials showing modest outcomes, and TNBC trials demonstrating partial responses but low overall efficacy and adverse events.
Conclusions:
- Clinical underperformance of GSIs is attributed to tumor heterogeneity, dosing issues, and non-selective inhibition.
- Future strategies require receptor-specific NOTCH inhibitors, patient stratification, and optimized combination regimens.
- Emerging approaches include immunotherapy integration, targeted delivery, and AI-driven personalized medicine.
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