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Yim J, Hope C, Huelse JM, Graham DK. Prospects of current AXL-targeting therapies in early phase cancer trials. Expert Opin Investig Drugs 2025:1-33. [PMID: 40413629 DOI: 10.1080/13543784.2025.2511178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2025] [Revised: 04/22/2025] [Accepted: 05/19/2025] [Indexed: 05/27/2025]
Abstract
INTRODUCTION AXL, a member of the TAM (TYRO3, AXL, and MERTK) family of receptor tyrosine kinases, controls pro-tumorigenic signaling cascades and cancer-immunological functions, and promotes drug resistance. Due to AXL's multifaceted role and therapeutic activity in preclinical studies, a variety of AXL inhibitors are being developed and tested in clinical trials for cancer treatment. Some clinical studies are showing promising results for AXL inhibitors as monotherapy and in combination with standard of care therapeutics. Currently, no selective AXL-targeting therapy has reached FDA-approval, but several compounds have entered phase II and III studies. AREA COVERED We elaborate on the role of AXL in cancer progression and suppressing anti-cancer immunity at both the molecular level and immune cell interaction level. Additionally, we review pre-clinical and clinical data of AXL-targeting agents. EXPERT OPINION Preclinical and several early clinical trials demonstrated the safety of AXL-targeting monotherapies with some evidence of efficacy. Additionally, multiple novel combination regimens including AXL-targeting agents to overcome resistance mechanisms are being actively examined with some promising results. However, patient selection and companion biomarkers may be critical for the success of AXL-targeting therapies.
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Affiliation(s)
- Juhye Yim
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Department of Pediatrics, Emory University, Atlanta, GA, USA
| | - Chloe Hope
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Department of Pediatrics, Emory University, Atlanta, GA, USA
| | - Justus M Huelse
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Department of Pediatrics, Emory University, Atlanta, GA, USA
| | - Douglas K Graham
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Department of Pediatrics, Emory University, Atlanta, GA, USA
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Ma Y, Shih CH, Cheng J, Chen HC, Wang LJ, Tan Y, Zhang Y, Brown DD, Oesterreich S, Lee AV, Chiu YC, Chen YC. High-Throughput Empirical and Virtual Screening To Discover Novel Inhibitors of Polyploid Giant Cancer Cells in Breast Cancer. Anal Chem 2025; 97:5498-5506. [PMID: 40040372 PMCID: PMC11923954 DOI: 10.1021/acs.analchem.4c05138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Revised: 02/27/2025] [Accepted: 02/28/2025] [Indexed: 03/06/2025]
Abstract
Therapy resistance in breast cancer is increasingly attributed to polyploid giant cancer cells (PGCCs), which arise through whole genome doubling and exhibit heightened resilience to standard treatments. Characterized by enlarged nuclei and increased DNA content, these cells tend to be dormant under therapeutic stress, driving disease relapse. Despite their critical role in resistance, strategies to effectively target PGCCs are limited, largely due to the lack of high-throughput methods for assessing their viability. Traditional assays lack the sensitivity needed to detect PGCC-specific elimination, prompting the development of novel approaches. To address this challenge, we developed a high-throughput single-cell morphological analysis workflow designed to differentiate compounds that selectively inhibit non-PGCCs, PGCCs, or both. Using this method, we screened a library of 2726 FDA Phase 1-approved drugs, identifying promising anti-PGCC candidates, including proteasome inhibitors, FOXM1, CHK, and macrocyclic lactones. Notably, RNA-Seq analysis of cells treated with the macrocyclic lactone Pyronaridine revealed AXL inhibition as a potential strategy for targeting PGCCs. Although our single-cell morphological analysis pipeline is powerful, empirical testing of all existing compounds is impractical and inefficient. To overcome this limitation, we trained a machine learning model to predict anti-PGCC efficacy in silico, integrating chemical fingerprints and compound descriptions from prior publications and databases. The model demonstrated a high correlation with experimental outcomes and predicted efficacious compounds in an expanded library of over 6,000 drugs. Among the top-ranked predictions, we experimentally validated five compounds as potent PGCC inhibitors using cell lines and patient-derived models. These findings underscore the synergistic potential of integrating high-throughput empirical screening with machine learning-based virtual screening to accelerate the discovery of novel therapies, particularly for targeting therapy-resistant PGCCs in breast cancer.
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Affiliation(s)
- Yushu Ma
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Computational and Systems Biology, University
of Pittsburgh, 3420 Forbes
Avenue, Pittsburgh, Pennsylvania 15260, United States
| | - Chien-Hung Shih
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
| | - Jinxiong Cheng
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, Pennsylvania 15260, United States
| | - Hsiao-Chun Chen
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Computational and Systems Biology, University
of Pittsburgh, 3420 Forbes
Avenue, Pittsburgh, Pennsylvania 15260, United States
| | - Li-Ju Wang
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
| | - Yanhao Tan
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Division
of Malignant Hematology and Medical Oncology, Department of Medicine, University of Pittsburgh, 5150 Centre Avenue, Pittsburgh, Pennsylvania 15232, United States
| | - Yuan Zhang
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Immunology, University of Pittsburgh, 5051 Centre Ave, Pittsburgh, Pennsylvania 15213, United States
| | - Daniel D. Brown
- Institute
for Precision Medicine, University of Pittsburgh, 5051 Centre Ave, Pittsburgh, Pennsylvania 15213, United States
| | - Steffi Oesterreich
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Pharmacology and Chemical Biology, University
of Pittsburgh, 4200 Fifth
Avenue, Pittsburgh, Pennsylvania 15213, United States
| | - Adrian V. Lee
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Institute
for Precision Medicine, University of Pittsburgh, 5051 Centre Ave, Pittsburgh, Pennsylvania 15213, United States
- Department
of Pharmacology and Chemical Biology, University
of Pittsburgh, 4200 Fifth
Avenue, Pittsburgh, Pennsylvania 15213, United States
| | - Yu-Chiao Chiu
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Computational and Systems Biology, University
of Pittsburgh, 3420 Forbes
Avenue, Pittsburgh, Pennsylvania 15260, United States
- Division
of Malignant Hematology and Medical Oncology, Department of Medicine, University of Pittsburgh, 5150 Centre Avenue, Pittsburgh, Pennsylvania 15232, United States
- CMU-Pitt
Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, Pennsylvania 15260, United States
| | - Yu-Chih Chen
- UPMC
Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, Pennsylvania 15232, United States
- Department
of Computational and Systems Biology, University
of Pittsburgh, 3420 Forbes
Avenue, Pittsburgh, Pennsylvania 15260, United States
- Department
of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, Pennsylvania 15260, United States
- CMU-Pitt
Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, Pennsylvania 15260, United States
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Bertoli E, De Carlo E, Bortolot M, Stanzione B, Del Conte A, Spina M, Bearz A. Targeted Therapy in Mesotheliomas: Uphill All the Way. Cancers (Basel) 2024; 16:1971. [PMID: 38893092 PMCID: PMC11171080 DOI: 10.3390/cancers16111971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
Mesothelioma (MM) is an aggressive and lethal disease with few therapeutic opportunities. Platinum-pemetrexed chemotherapy is the backbone of first-line treatment for MM. The introduction of immunotherapy (IO) has been the only novelty of the last decades, allowing an increase in survival compared to standard chemotherapy (CT). However, IO is not approved for epithelioid histology in many countries. Therefore, therapy for relapsed MM remains an unmet clinical need, and the prognosis of MM remains poor, with an average survival of only 18 months. Increasing evidence reveals MM complexity and heterogeneity, of which histological classification fails to explain. Thus, scientific focus on possibly new molecular markers or cellular targets is increasing, together with the search for target therapies directed towards them. The molecular landscape of MM is characterized by inactivating tumor suppressor alterations, the most common of which is found in CDKN2A, BAP1, MTAP, and NF2. In addition, cellular targets such as mesothelin or metabolic enzymes such as ASS1 could be potentially amenable to specific therapies. This review examines the major targets and relative attempts of therapeutic approaches to provide an overview of the potential prospects for treating this rare neoplasm.
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Affiliation(s)
- Elisa Bertoli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
| | - Elisa De Carlo
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
| | - Martina Bortolot
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
- Department of Medicine, University of Udine, 33100 Udine, Italy
| | - Brigida Stanzione
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
| | - Alessandro Del Conte
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
| | - Michele Spina
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
| | - Alessandra Bearz
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.B.); (E.D.C.); (M.B.); (B.S.); (A.D.C.); (M.S.)
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Yun KM, Bazhenova L. Emerging New Targets in Systemic Therapy for Malignant Pleural Mesothelioma. Cancers (Basel) 2024; 16:1252. [PMID: 38610930 PMCID: PMC11011044 DOI: 10.3390/cancers16071252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
Malignant pleural mesothelioma (MPM) is a heterogeneous cancer composed of distinct molecular and pathologic subtypes. Unfortunately, MPM is aggressive, and current therapies for advanced, unresectable disease remain limited to cytotoxic chemotherapy and immunotherapy. Our understanding of the genomic landscape of MPM is steadily growing, while the discovery of effective targeted therapies in MPM has advanced more slowly than in other solid tumors. Given the prevalence of alterations in tumor suppressor genes in MPM, it has been challenging to identify actionable targets. However, efforts to characterize the genetic signatures in MPM over the last decade have led to a range of novel targeted therapeutics entering early-phase clinical trials. In this review, we discuss the advancements made thus far in targeted systemic therapies in MPM and the future direction of targeted strategies in patients with advanced MPM.
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Affiliation(s)
- Karen M. Yun
- Division of Hematology-Oncology, Moores Cancer Center at UC San Diego Health, La Jolla, CA 92093, USA;
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