| Literature DB >> 36080304 |
Monica A Kamal1, Yasmine M Mandour2, Mostafa K Abd El-Aziz1, Ulrike Stein3, Hend M El Tayebi1.
Abstract
According to data provided by World Health Organization, hepatocellular carcinoma (HCC) is the sixth most common cause of deaths due to cancer worldwide. Tremendous progress has been achieved over the last 10 years developing novel agents for HCC treatment, including small-molecule kinase inhibitors. Several small molecule inhibitors currently form the core of HCC treatment due to their versatility since they would be more easily absorbed and have higher oral bioavailability, thus easier to formulate and administer to patients. In addition, they can be altered structurally to have greater volumes of distribution, allowing them to block extravascular molecular targets and to accumulate in a high concentration in the tumor microenvironment. Moreover, they can be designed to have shortened half-lives to control for immune-related adverse events. Most importantly, they would spare patients, healthcare institutions, and society as a whole from the burden of high drug costs. The present review provides an overview of the pharmaceutical compounds that are licensed for HCC treatment and other emerging compounds that are still investigated in preclinical and clinical trials. These molecules are targeting different molecular targets and pathways that are proven to be involved in the pathogenesis of the disease.Entities:
Keywords: HCC pathways inhibitors; growth factor receptors inhibitors; hepatocellular carcinoma; molecular targets; small molecule inhibitors; small molecules as immunomodulators; tyrosine kinase inhibitors
Mesh:
Year: 2022 PMID: 36080304 PMCID: PMC9457820 DOI: 10.3390/molecules27175537
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.927
Figure 1Flow diagram of the literature screening process including number of records retrieved from search databases, exclusion and inclusion criteria.
Figure 2Schematic representation of research interest toward small molecule inhibitors in liver cancer treatment. Y-axis represents number of studies and X-axis represent years. These data were collected from PubMed.
Figure 3The chronological sequence of the currently FDA approved small molecule inhibitors in HCC and their primary molecular targets.
Figure 4Schematic representation of combinational therapies of sorafenib and other small molecule inhibitors discussed in this review. This simplified schematic does not contain all signal transduction molecules known to be involved in the described signaling cascades but focuses on the targets discussed in this review. This figure was generated by biorender. STAT, Signal transducer and activator of transcription 3; JNK, c-Jun N-terminal kinase; NEDD-8, neural precursor cell expressed developmentally downregulated 8; NF-κB, nuclear factor kappa light chain enhancer of activated B cells; HMG co-A, β-Hydroxy β-methylglutaryl-CoA; RAS, Rat sarcoma virus; MEK, Mitogen-activated protein kinase; ERKs, extracellular signal-regulated kinases; PI3K, Phosphatidylinositol 3-kinase; PDK1, 3-Phosphoinositide-dependent protein kinase 1; AKT, Ak strain transforming; mTOR, mammalian target of rapamycin; INF-lamda 3, Interferon lambda-3; ROS, Reactive oxygen species.
The most recent in-vivo, in-vitro and clinical trials of tyrosine kinase inhibitors. EGFR, Epidermal Growth Factor Receptor; FGFR, Fibroblast Growth Factor Receptor; VEGFR, Vascular Endothelial Growth Factor Receptor; PDGFR, Platelet Derived Growth Factor Receptor; HGFR, Hepatocyte Growth Factor Receptor; IGF, Insulin Growth Factor Receptor. OS, overall survival; TTP, time to progress; TTRP, Time to radiologic progression; ORR, objective response rate; DCR, disease control rate; PFS, progress free survival; DCR, disease control rate; TEAE, Treatment Emergent Adverse Event.
| Drug | Target | Study Design | Sample Size | Results/Primary Endpoint | Secondary Endpoints, Efficacy and Safety | Ref. |
|---|---|---|---|---|---|---|
| Sorafenib vs. Placebo(SHARP) | EGFRs, KIT, | phase III; First line; | n = 602 | OS | TTP (months): Sorafenib: 5.5; | [ |
| Regorafenib vs. Placebo(RESORCE) | EGFR1–3, | Phase III; Second line; | n = 573 | OS | TTP (months): Regorafenib: | [ |
| Cabozantinib vs. | VEGFR1–3, MET, | Phase III; Second line; | n = 707 | OS Cabozantinib: 10.2 | PFS (months): Cabozantinib: 5.2; Placebo: 1.9 | [ |
| Lenvatinib vs. Sorafenib | EGFR1–3, | Phase III; First line; | n = 954 | OS | TTP (months): Lenvatinib: 8.9; | [ |
| Sunitinib vs. Sorafenib | PDGFRα/β, VEGFR-1, VEGFR-2, RET, c-Kit and FLT-3 | Open-label, phase III trial | n = 1073 | OS | PFS: Sunitinib; 3.6, | [ |
| Erlotinib | EGFR | phase II and phase III clinical trials | n = 1020 |
OS | DCR: 42.5–79.6% | [ |
| Brivanib vs. placebo and best supportive care (sorafenib) | VEGFR-2 and FGFR1 | multinational, randomized, double-blind, phase III trial | n = 1150 | OS | TTP, ORR, and DCR were similar between the study arms. Most frequent grade 3/4 adverse events for sorafenib and brivanib were similar | [ |
| Cediranib | VEGFR-2 | single-arm | n = 17 | OS | PFS rate of 77% (60%, 99%). Median PFS was 5.3 (3.5, 9.7) months, stable disease (29%), Grade 3 toxicities: hypertension (29%), hyponatremia (29%), hyperbilirubinemia (18%) | [ |
| Linifanib vs. sorafenib | VEGF and PDGF | open-label phase III trial | n = 1035 | OS | TTP was 5.4 months (linifanib) and 4.0 months on sorafenib. | [ |
| Nintedanib vs. sorafenib | VEGFR-1, VEGFR-2 and VEGFR-3, FGFR, PDGFR and Src | randomized, multicenter, open-label, phase I/II study | n = 95 | For nintedanib and sorafenib, median OS 10.2 vs. 10.7 months | For nintedanib and sorafenib, respectively, the median CIR TTP was 2.8 vs. 3.7 months Nintedanib-treated patients had fewer grade 3 or higher AEs (56 vs. 84%), serious AEs (46 vs. 56%), and AEs leading to dose reduction (19 vs. 59%) and drug discontinuation (24 vs. 34%). | [ |
| Refametinib vs. sorafenib | MEK1/2 | phase II study NCT01204177 | n = 95 |
OS |
DCR was 44.8% (primary efficacy analysis; n = 58). TTP was 122 days | [ |
| Vatalanib in combination with doxorubicin | VEGFRs, c-Kit, PDGFRβ and c-Fms | phase I/II study | n = 27 | OS: 7.3 months (range, 0.8–23.6 months) |
ORR was 26.0% | [ |
| Vandetanib vs. placebo | VEGFR-2 and EGFR | a phase II, randomized, double-blind, placebo-controlled study | n = 67 | OS improvement was noticed but statistically insignificant | improved PFS and OS after vandetanib treatment were found, they were statistically insignificant but tumor stabilization rate significant | [ |
| Pazopanib | VEGFR-1, -2 and -3, PDGFRα/β and c-Kit | phase I dose-escalating study | n = 28 |
19 patients (73%) had either partial response or stable disease. | [ | |
| Tivantinib vs. placebo | c-Met | a phase 3, randomized, placebo-controlled study | n = 340 |
OS | Grade 3 or worse AEs (ascites, anemia, abdominal pain, and neutropenia) occurred in 56% compared with 55% of patients who received tivantinib and placebo, respectively | [ |
| Apatinib | VEGFR-2, c-Kit, PDGFRβ and c-Src | single-arm, open-label phase II clinical trial NCT03046979 | n = 23 | The median OS 13.8 months | ORR and DCR were 30.4% and 65.2%, respectively. The median PFS: 8.7 months. The most common treatment-related adverse events were proteinuria (39.1%), hypertension (34.8%), and hand-foot-skin reaction (34.8%). | [ |
| Imatinib | AKT, p62 and LC3 | phase II clinical trial | n = 17 | Grade 3/4 AEs. There was no objective response, and 5 (33%) patients had stable disease. Median time to treatment failure was 1.8 months | [ | |
| Gefitinib | EGFR | single arm phase II study | n = 31 | OS | PFS = 2.8 months, Med OS = 6.5 months. Selected grade 3 AEs: neutropenia; rash; diarrhea. There was only 1 grade 4 AE (neutropenia). | [ |
| Lapatinib | EGFR and HER-2/NEU | A multi-institutional phase II study | n = 25 |
OS | Most common toxicities were diarrhea (73%), nausea (54%), and rash (42%). Ten (40%) patients had stable disease. PFS was 1.9 months | [ |
| Linsitinib | IGF-1R | Phase II clinical trials | Not completed due to safety issues observed | Not safe | [ | |
| Orantinib | VEGFR-2, FGFR and PDGFR | a phase I/II clinical trial in patients with unresectable or metastatic HCC NCT00784290 | n = 35 |
OS | TTP was 2.1 months. Common AEs were hypoalbuminemia, diarrhea, anorexia, abdominal pain, malaise, and edema | [ |
| Axitinib | VEGFR-1, 2, 3 | Multicenter phase II study | n = 45 |
OS |
DCR was 62.2%, and the RR was 6.7%, | [ |
| Donafenib vs. sorafenib | VEGFR, PDGFR, and Raf | A Randomized, Open-Label, Parallel-Controlled Phase II-III Trial | n = 688 | OS was significantly longer with donafenib (12.1) than sorafenib (10.3) months |
PFS: 3.7 vs. 3.6 months. | [ |
| Anlotinib | VEGFR 1–3, FGF Receptor 1–4, PDGFR α/β, and c-kit | open-label phase II study (ALTER-0802 study) | n = 50 |
PFS rate was 80.8% and (TTP) was 5.9 months. | [ | |
| Dovitinib vs. sorafenib | VEGFR-1, 2, 3, FGFR1, 2, 3, and PDGFR-β | Randomized, open-label phase II study | n = 165 |
The median OS was 8.0 (6.6–9.1) months for dovitinib and 8.4 (5.4–11.3) months for sorafenib | The median TTP per investigator assessment was 4.1 (2.8–4.2) months and 4.1 (2.8–4.3) months for dovitinib and sorafenib, respectively. | [ |
| Tepotinib | MET | Phase Ib/II trials | n = 121 | Tepotinib induced significant tumor regression in 2 high-level | High-level | [ |
| Dasatinib combination with irinotecan | Src kinase, SFK/FAK and PI3K/PTEN/Akt | In-vitro study/nine different cell lines | Dasatinib inhibits the proliferation, adhesion, and metastasis of HCC cells in-vitro. | Dasatinib can reinforce the anti-HCC efficacy of irinotecan/SN38 by downregulation of PLK1 synthesis | [ | |
| PD0325901 | MEK1 and MEK2 | HepG2 and Hep3B human HCC cell lines in-vitro and in Hep3B flank tumors in-vivo | PD0325901 suppressed MEK activity and tumor growth in-vitro in TAMH cells, taken from the livers of TGF-α transgenic mice. | Additionally, it considerably decreased MEK activity in-vivo in athymic mice bearing TAMH flank tumors. | [ | |
| R1498 vs. | VEGFR2 | In-vivo on a panel of GC and HCC xenografts, | R1498 resulted in 80% inhibition of tumor growth and tumor regression in some xenografts. | R1498 anti-tumor efficacy was compared to that of sorafenib in-vivo on a panel of HCC xenograft mouse models. Results reported superior profile of both efficacy and toxicity relative to sorafenib in all the models. | [ | |
| SGX523 | MET | In-vitro on 2 HCC cell lines: HCC2321 and HCC2309. | Partial inhibition of tumor growth was presented by SGX523 monotherapy at 60 mg/kg and at 10 mg/kg sorafenib monotherapy | SGX523 (60 mg/kg)-sorafenib (10 mg/kg) combination gave no major progress in efficacy | [ | |
| PHA665752 | c-Met | MHCC97-L and MHCC97-H in xenograft models and cell lines as Huh7 and Hep3B cells (in-vitro or in-vivo) | Inhibition of proliferation and apoptosis was induced in c-Met positive MHCC97-L and MHCC97-H cells by PHA665752. | In accordance with these results, PHA665752 considerably inhibited c-Met positive MHCC97-L and MHCC97-H in xenograft models while c-Met negative cell lines as Huh7 and Hep3B cells were not affected in-vitro or in-vivo | [ | |
| BLU9931 | FGFR4 | Hep3B cell line | initiation of caspase 3/7 activity, apoptosis, and inhibition of downstream signaling of FGFR4. | BLU9931 is efficacious in tumors with an intact FGFR4 signaling pathway that includes FGF19, FGFR4, and KLB. BLU9931 is the first FGFR4-selective molecule for the treatment of patients with HCC with aberrant FGFR4 signaling. | [ | |
| FGF401 | FGFR4 | Huh7, SNU878 and Hep3B cell lines and xenografts in-vivo | FGF401 induced tumor stasis at a dose of 10 mg per kg twice a day, as well as tumor regression at these doses: 30 and 100 mg per kg twice a day. These doses were safe and well tolerated. | FGF401 anti-tumor effect was superior in Huh7 xenografts relative to once per day 30 mg/kg sorafenib | [ |
Figure 5Schematic representations of FDA approved (indicated in red) and not licensed (indicated in black) small molecule inhibitors of tyrosine kinase receptors and other pathways in HCC discussed in this review. This figure was generated by biorender. EGFR, Epidermal Growth Factor Receptor; FGFR, Fibroblast Growth Factor Receptor; VEGFR, Vascular Endothelial Growth Factor Receptor; PDGFR, Platelet Derived Growth Factor Receptor; HGFR, Hepatocyte Growth Factor Receptor; IGF, Insulin Growth Factor Receptor.
Figure 6Schematic representations of emerging small molecule inhibitors of Wnt signaling pathway and STAT3 signaling pathway. This figure was generated by biorender. Wnt, Wingless and Int-1; TCF/LEF, T-cell factor/lymphoid enhancer-binding factor; GSK-3β, glycogen synthase kinase-3 beta; APC, Adenomatous Polyposis Coli; LRP, lipoprotein receptor-related protein; JAK, Janus Kinase.
Small molecule inhibitors and their different targets.
| Small Molecule Inhibitor | Target |
|---|---|
| CMO | P65 protein |
| APG-1387 | Inhibitor of apoptosis proteins (IAPs) |
| AC-73 | CD147 |
| VO-OHpic | Phosphatase and tensin homolog (PTEN) |
| Rubone | miR34a |
| FQI1 | Transcription factor LSF |
| AUY922 (luminespib) | Heat shock protein 90 (HSP-90) |
| Compound 81 | Chemokine receptor 6 (CXCR6) |
| Cambinol | Sirtuin 1 (SIRT-1) |
| BI 2536 | Polo-like kinase 1 (plk-1) |
| THZ1 | cyclin dependent kinase 7 (CDK7) |
| IPA-3 | p21-activated kinase 1 (PAK1) |
| Alisertib | AURKA |