| Literature DB >> 34068398 |
Jose J G Marin1,2, Paula Sanchon-Sanchez1, Candela Cives-Losada1, Sofía Del Carmen3, Jesús M González-Santiago4, Maria J Monte1,2, Rocio I R Macias1,2.
Abstract
Despite the crucial advances in understanding the biology of cholangiocarcinoma (CCA) achieved during the last decade, very little of this knowledge has been translated into clinical practice. Thus, CCA prognosis is among the most dismal of solid tumors. The reason is the frequent late diagnosis of this form of cancer, which makes surgical removal of the tumor impossible, together with the poor response to standard chemotherapy and targeted therapy with inhibitors of tyrosine kinase receptors. The discovery of genetic alterations with an impact on the malignant characteristics of CCA, such as proliferation, invasiveness, and the ability to generate metastases, has led to envisage to treat these patients with selective inhibitors of mutated proteins. Moreover, the hope of developing new tools to improve the dismal outcome of patients with advanced CCA also includes the use of small molecules and antibodies able to interact with proteins involved in the crosstalk between cancer and immune cells with the aim of enhancing the immune system's attack against the tumor. The lack of effect of these new therapies in some patients with CCA is associated with the ability of tumor cells to continuously adapt to the pharmacological pressure by developing different mechanisms of resistance. However, the available information about these mechanisms for the new drugs and how they evolve is still limited.Entities:
Keywords: biliary cancer; immunotherapy; pharmacoresistance; targeted therapy
Year: 2021 PMID: 34068398 PMCID: PMC8153564 DOI: 10.3390/cancers13102358
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Schematic representation of inter-patient, inter-tumor and intra-tumor heterogeneity in CCA, as well as tumor heterogeneity in response to pharmacological treatment.
MPRs to classical chemotherapy in CCA.
| Class | Drug | Mechanisms of | Effect | Preclinical Model | Ref. |
|---|---|---|---|---|---|
| Antimetabolites | Gemcitabine | Reduced ENT1 levels/impaired plasma membrane targeting | Lower PFS | - | [ |
| High MRP1 expression | Reduced effect * | Resistant cell lines | [ | ||
| Decreased DCK activity | Reduced effect * | Resistant cell lines | [ | ||
| High P53R2 expression | Reduced effect * | Cell lines | [ | ||
| KPNA2 overexpression | Lower OS | - | [ | ||
| Bcl-2 upregulation/Bax downregulation | Reduced effect * | Resistant cell lines | [ | ||
| Higher MMP-9/uPA activity | Reduced effect * | Resistant cell lines | [ | ||
| Oct4 upregulation | Reduced effect * | Cell lines | [ | ||
| High HMGA1 expression | Reduced PFS | - | [ | ||
| High IL-6/TGF-β1 expression | Reduced effect * | Cell lines | [ | ||
| 5-FU | Low OPRT expression | Reduced effect * | Isolated tumor cells | [ | |
| High TS expression | Reduced effect * | Cell lines | [ | ||
| NK4 downregulation | Reduced effect * | Cell lines | [ | ||
| Alkylating agents | Cisplatin | Reduced CTR1 expression | Lower OS † | - | [ |
| Increased GSTP1–1 expression | Reduced effect * | Cell line | [ | ||
| High ERCC1 expression | Reduced effect * | Isolated tumor cells | [ | ||
| High MT expression | Reduced effect * | Isolated tumor cells | [ |
5-FU, 5-Fluorouracil; DCK, deoxycytidine kinase; ENT-1, equilibrative nucleoside transporter 1; ERCC1, excision repair cross complementation group 1; GSTP1–1, glutathione S-transferase-pi; HMGA1, high mobility group A1; IL-6, interleukin 6; KPNA2, Karyopherin-α2; MMP-9, matrix metalloproteinase-9; MRP1, multidrug resistance-associated protein 1; MT, metallothionein; Oct4, octamer-binding transcription factor 4; OPRT, orotate phosphoribosyl transferase; OS, overall survival; P53R2, p53-inducible ribonucleotide reductase; PFS, progression-free survival; TGF-β1, transforming growth factor β1; TS, thymidylate synthase; uPA, urokinase plasminogen activator. *, predicted from preclinical studies. †, predicted from clinical studies in other tumors.
Figure 2(A) Schematic representation of targeted therapies and immunotherapies that are being investigated in patients with CCA and are in more advanced studies. Resistance mechanisms have been described for some of them as has been discussed. (B) Schematic representation of the types of patient samples that can be used for molecular profiling to select the best targeted therapy for each patient at different times.
MPRs to targeted therapy in CCA.
| Inhibit | Drug | Target/s | Mechanisms of | Effect | Ref. |
|---|---|---|---|---|---|
| Kinases | Sorafenib | VEGFR-2/3, PDGFR-β, KIT, B-RAF, C-RAF | Reduced uptake, | Low efficacy * | [ |
| Regorafenib | VEGFR-1–3, TIE2, PDGFR-β, FGFR1, KIT, RET, RAF | High VEGF | Reduced PFS | [ | |
| FGFR | Pemigatinib | FGFR1–3 | Mutations in FGFR2 | Progression | [ |
| Infigratinib | FGFR1–3 > FGFR4 | FGFR2 mutations and altered PTEN/PI3K pathway | Progression | [ | |
| Debio 1347 | FGFR1–3 > FGFR4 | Mutations in FGFR2 | Progression * | [ | |
| Futibatinib | FGFR1–4 | Not described | Unknown | ||
| Erdafitinib | FGFR1–4 | Not described | Unknown | ||
| Derazantinib | FGFR1–3 > FGFR4, PDGFR, KIT, RET, SRC | Not described | Unknown | ||
| HER | Erlotinib | EGFR | Induced CSC-like phenotype | Lower | [ |
| Lapatinib | EGFR, HER2 | Not described | Unknown | ||
| Pertuzumab | HER2 | Not described | Unknown | ||
| Trastuzumab | HER2 | Mutations in HER2 | Progression | [ | |
| IDH | Ivosidenib | Mutant IDH1 | RTK pathway mutations, | Progression † | [ |
| NTKR | Larotrectinib | TRK1–3 | Not described | Unknown | |
| Entrectinib | TRK1–3, ROS1, ALK | Reactivation of RAF→ MEK→ ERK signaling | Progression † | [ | |
| BRAF | Dabrafenib | BRAF V600E mutation | Reactivation of MAPK pathway upstream of MEK | Progression † | [ |
| MEK | Trametinib | MEK | |||
| MET | Tivantinib | MET | Not described | Unknown |
2-HG, D-2-hydroxyglutarate; CSC, cancer stem cell; EGFR (or HER), epidermal growth factor receptor; FGFR, fibroblast growth factor receptor; GP130, glycoprotein 130; IDH, isocitrate dehydrogenase; IL-6, interleukin 6; MAPK, mitogen-activated protein kinase; NTKR, neurotropic tyrosine kinase receptor; OS, overall survival; PDGFR, platelet-derived growth factor receptor; PFS, progression-free survival; PTEN/PI3K, phosphatase and tensin homolog/phosphoinositide 3-kinase; RTK, receptor tyrosine kinase; TRK, tropomyosin receptor kinase; VEGFR, vascular endothelial growth factor receptor. *, predicted from preclinical studies; †, predicted from clinical studies in other tumors.
MPRs to immunotherapy in CCA.
| PD-1 Inhibitor | Mechanisms of | Effect | Ref. |
|---|---|---|---|
| Nivolumab | PD-L1 down-regulation | Reduced PFS | [ |
| Camrelizumab | Worse ORR | [ | |
| Pembrolizumab (+ ramucirumab) | Reduced OS | [ | |
| Pembrolizumab | Low tumor mutational burden | Worse ORR | [ |
| Nivolumab (+ GEM/CIS) | Changes in immune cells | Worse outcome | [ |
GEM/CIS, gemcitabine and cisplatin; ORR, overall response rate; OS, overall survival; PD-L1, programmed cell death ligand-1; PFS, progression-free survival.