Targeting TRK family proteins in cancer
Abstract
The tropomyosin receptor kinase (TRK) family includes TRKA, TRKB, and TRKC proteins, which are encoded by NTRK1, NTRK2 and NTRK3 genes, respectively. Binding of neurotrophins to TRK proteins induces receptor dimerization, phosphorylation, and activation of the downstream signaling cascades via PI3K, RAS/MAPK/ERK, and PLC-gamma. TRK pathway aberrations, including gene fusions, protein overexpression, and single nucleotide alterations, have been implicated in the pathogenesis of many cancer types, with NTRK gene fusions being the most well validated oncogenic events to date. Although the NTRK gene fusions are infrequent in most cancer types, certain rare tumor types are predominately driven by these events. Conversely, in more common histologies, such as lung and colorectal cancers, prevalence of the NTRK fusions is well below 5%. Selective inhibition of TRK signaling may therefore be beneficial among patients whose tumors vary in histologies, but share underlying oncogenic NTRK gene alterations. Currently, several TRK-targeting compounds are in clinical development. The ongoing Phase 2 trials with entrectinib and LOXO-101, two of the leading TRK inhibitors, are designed as 'basket trials', inclusive of patients whose tumors harbor NTRK gene fusions, independent of histology. Additional Phase 1 studies of other TRK inhibitors, including MGCD516, PLX7486, DS-6051b, and TSR-011, are underway. Interim data examining NTRK-rearranged tumors treated with entrectinib or LOXO-101 demonstrate encouraging activity, with patients achieving rapid and durable responses. Consequently, both drugs have achieved orphan designation from regulatory agencies, and efforts are underway to further expedite their development.
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Activated mutations within the Ras/Raf/MAPK/ERK pathway represent the most frequent oncogenic factor for many cancers.
“Activated mutations within this pathway represent the most frequent oncogenic factor for many cancers (Khotskaya et al. 2017).”
From Reactive Oxygen Species, Toxicity, Oxidative Stress, and Antioxidants: Chronic Diseases and Aging (2023) · cites this paper as Khotskaya et al. 2017
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Reactive Oxygen Species, Toxicity, Oxidative Stress, and Antioxidants: Chronic Diseases and Aging
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- Authors
- Khotskaya, Y. B., Holla, V. R., Farago, A. F., Mills Shaw, K. R., Meric-Bernstam, F., & Hong, D. S.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Hong, David S.
- Venue
- Pharmacology & Therapeutics
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 173
- Pages
- 58-66
- ISSN
- 0163-7258 (ISSN-L)
- OpenAlex
- W2584455808
- Cited by
- 292
- References
- 100
- Citations by year
- 2026: 17 · 2025: 23 · 2024: 39 · 2023: 27 · 2022: 34 · 2021: 35 · 2020: 37 · 2019: 32 · 2018: 38 · 2017: 10
- FWCI
- 5.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pharmacology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- The Cancer Prevention and Research Institute of Texas (RP1100584)
- Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy
- MD Anderson Cancer Center Support Grant (P30 CA016672)
- NCATS (UL1 TR000371)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Cancer Mechanisms and Therapy
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- NTRK gene fusions, TRK inhibitors, entrectinib, neurotrophin signaling, PI3K signaling, basket trials, orphan drug designation, lung cancer, colorectal cancer, targeted cancer therapy
- MeSH terms
- Animals, Antineoplastic Agents, Benzamides, Humans, Indazoles, Neoplasms, Pyrazoles, Pyrimidines, Drug Design, Receptor, trkC, Receptor, trkB, Receptor, trkA, Protein Kinase Inhibitors, Molecular Targeted Therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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