| Literature DB >> 31370270 |
Guido Giordano1, Andrea Remo2, Almudena Porras3,4, Massimo Pancione5,6.
Abstract
: Targeting the epidermal growth factor receptor (EGFR) either alone or in combination with chemotherapy in patients with RAS wild type metastatic colorectal cancer (mCRC) has revolutionized the treatment of CRC, but with less results than initially envisaged. In recent years, the discovery of multiple pathways leading to the escape from anti-EGFR therapy has revealed an enormous complexity and heterogeneity of human CRC due to the intrinsic genomic instability and immune/cancer cell interaction. Therefore, understanding the mechanistic basis of acquired resistance to targeted therapies represents a major challenge to improve the clinical outcomes of patients with CRC. The latest findings strongly suggest that complex molecular alterations coupled with changes of the immune tumor microenvironment may substantially contribute to the clinical efficacy of EGFR antagonist. In this review, we discuss the most recent findings that contribute to both primary and acquired anti-EGFR therapy resistance. In addition, we analyze how strategies aiming to enhance the favorable effects in the tumor microenvironment may contribute to overcome resistance to EGFR therapies.Entities:
Keywords: EGFR; colorectal cancer; immune microenvironment; resistance; targeted therapies
Year: 2019 PMID: 31370270 PMCID: PMC6721348 DOI: 10.3390/cancers11081089
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Current and emerging predictive biomarker for lack of efficacy to anti-epidermal growth factor receptor (EGFR) antibodies therapy in colorectal cancer (CRC) patients.
| Gene/Pathway | Genetic Evidence | Population | EGFR Abs | Reference |
|---|---|---|---|---|
| Mutation | CRC | cetuximab andpanitumumb | [ | |
| Mutation | cetuximab and panitumumb | [ | ||
|
| ||||
| Low expression | cetuximab | [ | ||
| Low epression | RAS wild-type and mutant CRC | cetuximab | [ | |
| EGFR | low copy number | cetuximab | [ | |
| HER2 | Amplification | cetuximab and panitumumb | [ | |
|
| ||||
| PIK3CA | Mutation | cetuximab | [ | |
| PTEN | loss | cetuximab | [ | |
| Hyper-activated | CRC | cetuximab | [ | |
| CD15/LY6G6D | High expression | mCRC | cetuximab | [ |
|
| ||||
| p38 MAPK | Low expression | cetuximab | [ | |
| FOXO3a | Low expression | cetuximab | [ |
Abbreviations: abs: antibodies.
Potential genetic polymorphisms predictive for anti-EGFR antibodies efficacy in colorectal cancer reported in literature.
| Gene | Polymorphism | Potential Effect | Patient Population |
|---|---|---|---|
| less skin toxicity | |||
| T/T genotype (SNP-216) | Better response | ||
| G/G genotype rs1050171 * | predictive of response | ||
| UBE2M (involved in EGFR Turnover) | C/C genotype rs895374 * | Predicts short PFS | |
| Fc gamma receptor 3a ( | F/F genotype (V158F) ** | longer PFS and OS | |
| Toll like receptor 7 ( | G/G genotype rs3853839 * | favorable PFS | |
| killer cell immunoglobulin-like receptor (KIR) | Predictive of response |
* Non-coding region; **, amino acid polymorphism; abbreviations: OS: overall survival; PFS: progression free survival.
Mechanisms of acquired resistance to anti-EGFR treatment in CRC patients. The main mechanisms involved in the generation of acquired resistance to anti-EGFR therapy are described. They are classified in subgroups according to the pathway(s) and type of alteration.
| Gene/Pathway | Genetic Evidence | Study | Reference |
|---|---|---|---|
| missense mutations | preclinical and clinical | [ | |
| missense mutations | clinical and meta-analysis | [ | |
| missense mutations | preclinical and clinical | [ | |
|
| |||
| missense mutations | preclinical and clinical | [ | |
| amplification | preclinical and clinical | [ | |
| HER3/4 ligand | overexpression | preclinical and clinical | [ |
| Heregulin | overexpression | clinical | [ |
| TGF-α | overexpression | preclinical | [ |
|
| |||
| amplification | preclinical and clinical | [ | |
| IGF1R | overexpression | preclinical | [ |
| VEGF/VEGFR | overexpression | preclinical | [ |
|
| |||
| PI3K/Akt pathway | hyperactivation | preclinical and clinical | [ |
| MEK/ERKs pathway | hyperactivation | preclinical and clinical | [ |
| Foxo 3 | upregulation | preclinical and clinical | [ |
Figure 1Aberrant genetic alterations implicated in the resistance to anti-EGFR therapy. Anti-EGFR targeted therapy is combined with other cancer treatments in patients with advanced colorectal cancer bearing wild type RAS. While patients respond fairly well initially, in most cases sustained treatment typically results in the failure of the response to treatment and a poor prognosis. This therapy acting as a selection pressure, enables tumor cells to acquire extensive genetic alterations, leading to abnormal activation or amplification of different tyrosine kinase receptors (upstream) and downstream signaling pathways dependent or independent of EGFR signaling. These mechanisms can be expanded through parallel evolution, enabling tumor cells to adapt, while maintaining their intratumoral heterogeneity that contributes to tumorigenesis.
Figure 2Tumor microenvironment (TME) is a key determinant for the response to anti-EGFR therapy. Tumors are complex adaptive systems owing to the heterogeneous nature of cancer cells and surrounding immune cell populations (T lymphocytes, myeloid cells, natural killer). In the clonal evolution model, from a founder cell, different subclones (represented by different colors) emerge due to genetic and epigenetic alterations resulting in the intratumor heterogeneity. EGFR and its ligands are differentially expressed in the tumor and surrounding immune cell populations. This heterogeneity can significantly affect the effectiveness of targeted therapies. Currently, immunotherapy (Anti-PD1) is restricted to a CRC subgroup harboring loss of mismatch-repair (MMR) proteins. Other CRCs do not meaningfully respond to any traditional immunotherapy approach, including checkpoint blockade, adoptive cell transfer, and vaccination. In the future, pathways and molecules determining the immunological profiling of tumor subtypes might be targeted together with anti-EGFR for therapeutic immune interventions. Abbreviations: microsatellite instable high (MSI-H); JAK, Janus kinase; Histone deacetylases (HDAC).