4.6 Review

Combination of HGF/MET-targeting agents and other therapeutic strategies in cancer

Journal

CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY
Volume 160, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.critrevonc.2021.103234

Keywords

c-MET; Receptor tyrosine kinase; DNA damage response; Multidrug resistance; Combination therapy; Cancer stem cells; Tumor microenvironment; Immunotherapy

Funding

  1. National Institute for Medical Research Development (NIMAD) , Tehran, Iran [957652]
  2. NWO Visitor's Travel grant [040.11.609]
  3. CCA Foundation
  4. AIRC
  5. Shiraz University of Medical Sciences [1396-01-106-15688]

Ask authors/readers for more resources

MET receptor is a promising therapeutic target in various human cancers, with HGF/MET combination therapies showing potential in overcoming drug resistance, targeting tumor microenvironment, and modulating drug metabolism. Further research is needed to fully understand the molecular mechanisms underlying successful pharmacological combinations.
MET receptor has emerged as a druggable target across several human cancers. Agents targeting MET and its ligand hepatocyte growth factor (HGF) including small molecules such as crizotinib, tivantinib and cabozantinib or antibodies including rilotumumab and onartuzumab have proven their values in different tumors. Recently, capmatinib was approved for treatment of metastatic lung cancer with MET exon 14 skipping. In this review, we critically examine the current evidence on how HGF/MET combination therapies may take advantage of synergistic effects, overcome primary or acquired drug resistance, target tumor microenvironment, modulate drug metabolism or tackle pharmacokinetic issues. Preclinical and clinical studies on the combination of HGF/MET-targeted agents with conventional chemotherapeutics or molecularly targeted treatments (including EGFR, VEGFR, HER2, RAF/MEK, and PI3K/Akt targeting agents) and also the value of biomarkers are examined. Our deeper understanding of molecular mechanisms underlying successful pharmacological combinations is crucial to find the best personalized treatment regimens for cancer patients.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available