c-MET (MET) as a Radioligand Therapy Target
c-MET (MET), MET proto-oncogene, receptor tyrosine kinase, is a cell-surface protein (RTK). In Human Protein Atlas immunohistochemistry, c-MET staining is highest in colorectal cancer (100% of samples positive), thyroid cancer (100% of samples positive) and head and neck cancer (100% of samples positive). Published literature reports that c-MET internalizes after ligand binding, which helps retain a radionuclide inside tumor cells. Clinical status: Clinical-stage (up to phase 3, any modality), with 97 active clinical trials.
Is c-MET a good radioligand therapy target?
Scored against the six criteria that decide whether a protein can become a radioligand therapy:
- ✅ Cell-surface accessibility: Localized to the cell surface, so a radioligand can reach it from circulation.
- ✅ Tumor expression: High IHC staining in colorectal cancer, 100% of samples positive.
- ✅ Internalization: Reported to internalize, which favors radionuclide retention.
- ✅ Clinical precedent: Clinical-stage (up to phase 3, any modality)
- ❔ Shedding: Not yet assessed.
- ❔ Normal-tissue dosimetry: Check kidney, liver, bone marrow and salivary expression in the Human Protein Atlas tissue atlas.
c-MET expression in cancer
Protein expression of c-MET across 20 cancer types from Human Protein Atlas immunohistochemistry. The score is a weighted staining intensity from 0 to 1; "% positive" is the share of patient samples with detectable staining.
| Cancer type | IHC score | Level | % positive |
|---|---|---|---|
| Colorectal Cancer | 0.86 | High | 100% |
| Thyroid Cancer | 0.83 | High | 100% |
| Head and Neck Cancer | 0.75 | High | 100% |
| Ovarian Cancer | 0.72 | High | 100% |
| Kidney Cancer | 0.72 | High | 100% |
| Cervical Cancer | 0.72 | High | 100% |
| Melanoma | 0.67 | High | 100% |
| Pancreatic Cancer | 0.67 | High | 100% |
| Endometrial Cancer | 0.67 | High | 100% |
| Bladder Cancer | 0.64 | High | 100% |
| Gastric Cancer | 0.64 | High | 100% |
| Liver Cancer | 0.60 | High | 100% |
| Skin Cancer | 0.58 | High | 100% |
| Neuroendocrine Tumors | 0.58 | High | 100% |
| Breast Cancer | 0.58 | High | 100% |
| Testicular Cancer | 0.52 | High | 100% |
| Prostate Cancer | 0.47 | Medium | 100% |
| Lymphoma | 0.47 | Medium | 92% |
| Glioma | 0.42 | Medium | 100% |
| Lung Cancer | 0.42 | Medium | 91% |
Is c-MET internalized?
Yes. The review mentions 'internalization-dependent killing' which implies that MET undergoes internalization upon activation, particularly in the context of antibody-drug conjugates.
Sources: PMID 42352921 · PMID 42323111 · PMID 42207299 · PMID 42145655 · PMID 41880505. AI-extracted from abstracts, so verify before citing.
c-MET clinical trials
Clinical-stage (up to phase 3, any modality). 97 active trials reference c-MET (ClinicalTrials.gov, accessed 2026-09-28).
NCT07842835 · NCT05789303 · NCT07605416 · NCT07692529 · NCT02693535 · NCT03899155 · NCT04661137 · NCT03793179 · NCT04923893 · NCT06452277 · NCT07100080 · NCT06717347
c-MET normal tissue expression
Normal-tissue expression in dose-limiting organs (kidney, liver, bone marrow, salivary glands) drives radioligand dosimetry risk. Nuclens is re-validating its normal-tissue values, so they are not shown here yet. See c-MET in the Human Protein Atlas tissue atlas, and read how normal-tissue expression predicts radioligand dosimetry risk.
c-MET gene essentiality (DepMap)
CRISPR knockout effect across 1258 cancer cell lines: -0.04 (not essential). Radioligands kill by radiation, not by blocking the target, so essentiality matters less than for inhibitors. A non-essential target can still be an excellent radioligand target.
Related colorectal cancer radioligand targets
HER3 (ERBB3) · FAP · EGFR · CEA (CEACAM5) · EPCAM · SSTR2 · STEAP2 · HER2 (ERBB2)
See all radioligand therapy targets in colorectal cancer.
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Subcellular localization: UniProt via Open Targets (CC BY 4.0 / CC0). Tumor immunohistochemistry: Human Protein Atlas (CC BY-SA 4.0). Clinical trials: ClinicalTrials.gov (public domain). Gene essentiality: DepMap (CC BY 4.0). Internalization and shedding: AI-extracted from PubMed abstracts, so verify against the cited papers before relying on them. Nuclens is a first-pass triage layer, not a substitute for wet-lab validation or clinical dosimetry. Derived expression data on this page is shared under CC BY-SA 4.0.