| Literature DB >> 35785151 |
Wenda Huang1, Zhaonian Hao2, Feng Mao1, Dongsheng Guo1.
Abstract
Glioblastoma is the most common primary malignant tumor in the brain and has a dismal prognosis despite patients accepting standard therapies. Alternation of genes and deregulation of proteins, such as receptor tyrosine kinase, PI3K/Akt, PKC, Ras/Raf/MEK, histone deacetylases, poly (ADP-ribose) polymerase (PARP), CDK4/6, branched-chain amino acid transaminase 1 (BCAT1), and Isocitrate dehydrogenase (IDH), play pivotal roles in the pathogenesis and progression of glioma. Simultaneously, the abnormalities change the cellular biological behavior and microenvironment of tumor cells. The differences between tumor cells and normal tissue become the vulnerability of tumor, which can be taken advantage of using targeted therapies. Small molecule inhibitors, as an important part of modern treatment for cancers, have shown significant efficacy in hematologic cancers and some solid tumors. To date, in glioblastoma, there have been more than 200 clinical trials completed or ongoing in which trial designers used small molecules as monotherapy or combination regimens to correct the abnormalities. In this review, we summarize the dysfunctional molecular mechanisms and highlight the outcomes of relevant clinical trials associated with small-molecule targeted therapies. Based on the outcomes, the main findings were that small-molecule inhibitors did not bring more benefit to newly diagnosed glioblastoma, but the clinical studies involving progressive glioblastoma usually claimed "noninferiority" compared with historical results. However, as to the clinical inferiority trial, similar dosing regimens should be avoided in future clinical trials.Entities:
Keywords: TKI—tyrosine kinase inhibitor; clinical trial; glioblastoma; molecular mechanism; small molecule inhibitor
Year: 2022 PMID: 35785151 PMCID: PMC9247310 DOI: 10.3389/fonc.2022.911876
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1The major druggable targets in glioblastoma and corresponded hallmarks of tumor.
Figure 2The time line of publicly published clinical trials of the small-molecule inhibitors.
Figure 3A table which summary the major targets of Pan-TKIs.
Figure 4In contrast to lung cancer, glioma majorly harboring amplification of EGFR, instead of nucleotide mutation (cBioPortal). (A) The EGFR alteration frequency in different tumor types based on the PanCancer study “Pan-cancer analysis of whole genomes (ICGC/TCGA, Nature 2020)” in cBioportal database. (B) The collection of genetic alteration of EGFR based on four different studies in cBioportal database.
Part of clinical studies which claimed “non-inferiority” for historical results.
| Small molecule | First author | Phase | Year | Patient number | Therapy | CR | PR | OR | SD | mPFS | PFS6 | mOS | OS12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gefitinib | Amanda L. Schwer ( | I | 2008 | 15 | gefitinib 250 mg pod + radiotherapy | 13.3% | 13.3% | 13.3% | 7 m | 63.0% | 10 m | 40.0% | |
| erlotinib | Jeffrey J. Raizer ( | I | 2010 | 32 | erlotinib 150–775 mg pod | 3.3% | 3.3% | 6.7% | ~40%1 | 14 m | 53.0% | ||
| Jennifer L. Clarke ( | II | 2014 | 59 | ertlotinib + TMZ + RT + bev. | 13.5 m | 19.8 m | |||||||
| afatinib | David A. Reardon ( | II(pilot) | 2015 | 119 | afatinib 40 mg pod | 0.0% | 2.4% | 2.4% | 34.1% | 3.0% | 9.8 m | ||
| afatinib 40 mg + TMZ | 2.6% | 5.1% | 7.7% | 35.9% | 10.0% | 8.0 m | |||||||
| Vandetanib | Jan Drappatz ( | I | 2010 | 13 | Vandetanib + TMZ+ RT | 90.0% | 8 m | ~75% | 11 m | ~80% | |||
| Cabozantinib | Patrick Y. Wen ( | II | 2018 | 222 | cabozantinib at up to 140 mg/day | 17.6% | 17.6% | 3.7 m | 22.3% | 7.7 m | ~35% | ||
| cabozantinib at up to 100 mg/day | 14.4% | 14.4% | 3.7 m | 27.8% | 10.4 m | ~40% | |||||||
| Imatinib | David A. Reardon ( | II | 2005 | 33 | imatinib mesylate 400–500 mg + hydroxyurea (500 mg twice a day) | 3.4 m | 27.0% | 11.4 m | |||||
| David A. Reardon ( | I | 2008 | 65 | imatinib + TMZ | 6.2 m | 52.3% | 11.1 m | ||||||
| David A. Reardon ( | I | 2009 | 37 | vatalinib + imatinib + hydroxyurea | 24.3% | 24.3% | 48.6% | 3 m | 25.0% | 12 m | |||
| sorafenib | David A. Reardon ( | II | 2011 | 32 | sorafenib (400 mg twice daily) + temozolomide | 3.1% | 3.1% | 46.9% | 1.5 m | 9.4% | 14.3 m | 34.4% | |
| vorinostat | Katherine B. Peters ( | I/II | 2018 | 39 | vorinostat 200–400 mg/d +TMZ + bev. | 5.10% | 38.50% | 43.60% | 6.7 m | 53.80% | 12.5 m | 51.30% | |
| veliparib | H. Ian Robins ( | I/II | 2016 | 225 | veliparib +TMZ | 2 m | 17.00% | 10.3 m | ~38% |
1When exact percentages and survival times were not provided, these were estimated from the time to progression and survival curve.