| Literature DB >> 25810009 |
Hongxiang Wang1, Tao Xu1, Ying Jiang1, Hanchong Xu1, Yong Yan1, Da Fu2, Juxiang Chen3.
Abstract
Malignant gliomas are the most common malignant primary brain tumors and one of the most challenging forms of cancers to treat. Despite advances in conventional treatment, the outcome for patients remains almost universally fatal. This poor prognosis is due to therapeutic resistance and tumor recurrence after surgical removal. However, over the past decade, molecular targeted therapy has held the promise of transforming the care of malignant glioma patients. Significant progress in understanding the molecular pathology of gliomagenesis and maintenance of the malignant phenotypes will open opportunities to rationally develop new molecular targeted therapy options. Recently, therapeutic strategies have focused on targeting pro-growth signaling mediated by receptor tyrosine kinase/RAS/phosphatidylinositol 3-kinase pathway, proangiogenic pathways, and several other vital intracellular signaling networks, such as proteasome and histone deacetylase. However, several factors such as cross-talk between the altered pathways, intratumoral molecular heterogeneity, and therapeutic resistance of glioma stem cells (GSCs) have limited the activity of single agents. Efforts are ongoing to study in depth the complex molecular biology of glioma, develop novel regimens targeting GSCs, and identify biomarkers to stratify patients with the individualized molecular targeted therapy. Here, we review the molecular alterations relevant to the pathology of malignant glioma, review current advances in clinical targeted trials, and discuss the challenges, controversies, and future directions of molecular targeted therapy.Entities:
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Year: 2015 PMID: 25810009 PMCID: PMC4372648 DOI: 10.1016/j.neo.2015.02.002
Source DB: PubMed Journal: Neoplasia ISSN: 1476-5586 Impact factor: 5.715
Figure 1Three core signaling pathways altered in malignant gliomas. DNA alterations and copy number changes in the RTK/RAS/PI3K, RB, and p53 are shown. Moreover, activating genetic alterations are indicated in red, and inactivating genetic alterations are indicated in purple. In each pathway, the altered components and the type of alteration are indicated. The types of alteration are represented by different patterns as follows: represents mutation, represents amplification and represents homozygous deletion, while represents gene with normal copy number. MG indicates malignant glioma; HER, human epithelial receptor; MET, mesenchymal epithelial transition factor.
Figure 2Molecular targets in glioma cells (A) and glioma-associated endothelial cells (B) and designed intervention in molecular targeted therapies for malignant glioma. Growth factor receptors, glioma-associated transmembrane proteins, and their downstream intracellular signaling pathways are commonly altered in glioma and have been implicated in gliomagenesis. Several molecules of them have been explored as the targets to inhibit glioma growth and angiogenesis. GF indicates growth factor; ECM, extracellular matrix; TF, transcription factor; NICD, Notch intracellular domain.
Figure 3GSC-related signaling pathways represent potential targets for novel treatment strategies. Notch, SHH, and Wnt/β-catenin pathways are altered in malignant glioma and have been shown to regulate GSC function. Constituents of these pathways are potential targets for molecular targeted therapies. NICD indicates Notch intracellular domain; LRP, lipoprotein receptor–related protein; TF, transcription factor.
Select Molecular Targeted Drugs of Malignant Glioma in Clinical Trials
| Drug | Target(s) | Therapeutic Approach | Type of Glioma | Phase | Number of Subjects | RR | Median OS | Median PFS | PFS-6 (%) | Reference |
|---|---|---|---|---|---|---|---|---|---|---|
| VEGF/VEGFR-targeted agents | ||||||||||
| Bevacizumab | VEGF | Bevacizumab + irinotecan | Recurrent MG | II | Grade III 22, IV 93 | 39.1% ORR | Grade III 9 m, IV 8 m | Grade III 6 m, IV 6 m | 46.3 | |
| Bevacizumab + TMZ + RT | ND GBM | II | 70 | 19.6 m | 13.6 m | 88 | ||||
| Aflibercept | VEGF | Monotherapy | Recurrent MG | II | GBM 42, AG 16 | GBM 18%, AG 44% ORR | GBM 39 w, AG 55 w | GBM 12 w, AG24 w | GBM 7.7, AG 25 | |
| Cediranib | VEGFR, PDGFR, FGFR, c-KIT | Monotherapy | Recurrent GBM | II | 31 | 27% PR | 227 d | 117 d | 25.8 | |
| Vatalanib | VEGFR, c-KIT, PDGFR | Vatalanib + TMZ + RT | ND GBM | I/II | 19 | 17.3 m | 6.8 m | 63.2 | ||
| Pazopanib | VEGFR, PDGFR, c-KIT | Monotherapy | Recurrent GBM | II | 35 | 2 PR | 35 w | 12 w | 3 | |
| Integrin-targeted agents | ||||||||||
| Cilengitide | ανβ3/ανβ5 integrin | Cilengitide + TMZ + RT | ND GBM | I/IIa | 52 | 16.1 m | 8 m | 69 | ||
| Cilengitide + TMZ + RT | ND GBM | II | 112 | 19.7 m | 9.97 m | |||||
| Thalidomide | ανβ3/ανβ5 integrin | Thalidomide + procarbazine | Recurrent MG | II | 18 | 0 | 6.4 m | |||
| Thalidomide + irinotecan | Recurrent AG | II | 39 | 2 CR, 2 PR | 72 w | 13 w | 36 | |||
| EGFR-targeted inhibitors | ||||||||||
| Cetuximab | EGFR | Monotherapy | Recurrent GBM | II | 35 | 3.97 m | 1.63 m | |||
| Monotherapy | Recurrent HGG | II | 55 | 5.5% PR | 5.0 m | 7.3 | ||||
| Gefitinib | EGFR | Monotherapy | ND GBM | II | 96 | 12 m | ||||
| Gefitinib + RT | ND GBM | II | 147 | 11.1 m | 4.9 m | 40 | ||||
| Erlotinib | EGFR | Erlotinib + TMZ + RT | ND GBM | II | 27 | 8.6 m | 2.8 m | 30 | ||
| Monotherapy | Recurrent GBM/AA | I/II | 11 | 0 | 6.9 m | 1.9 m | 20 | |||
| Lapatinib | EGFR, HER2 | Monotherapy | Recurrent GBM | I/II | 17 | 0 | ||||
| Nimotuzumab | EGFR | Nimotuzumab + TMZ + RT | Grade III to IV glioma | I/II | 20 | 16.5 m | ||||
| PDGFR-targeted inhibitors | ||||||||||
| Imatinib | PDGFR, c-KIT, BCR-ABL | Imatinib + hydroxyurea | Recurrent GBM | II | 231 | 3.4% ORR | 26.0 w | 10.6 | ||
| Imatinib + hydroxyurea | Recurrent LGG | II | 64 | 0 | 11 m | |||||
| Dasatinib | PDGFR, SRC, c-KIT, BCR-ABL | Dasatinib + CCNU | Recurrent GBM | I/II | 26 | 1.35m | 7.7 | |||
| PI3K/AKT/mTOR-targeted inhibitors | ||||||||||
| Temsirolimus | mTOR | Monotherapy | Recurrent GBM | II | 65 | 4.4 m | 7.8 | |||
| Temsirolimus + TMZ + RT | ND GBM | I | 25 | 0 | ||||||
| Everolimus | mTOR | Everolimus + TMZ + RT | ND GBM | I | 18 | 1PR | ||||
| RAS/RAF/MAPK-targeted inhibitors | ||||||||||
| Lonafarnib | RAS (FT) | Lonafarnib + TMZ | MG | I | 36 | 6% PR | 14.3 m | 4.5 m | 41.7 | |
| Tipifarnib | RAS (FT) | Monotherapy | ND GBM | II | 28 | 0 | 7.7 m | |||
| Other inhibitors | ||||||||||
| Bortezomib | Proteasome | Monotherapy | Recurrent MG | I | 66 | 3% PR | 6.0 m | 2.1 m | 15 | |
| Bortezomib + TMZ + RT | HGG | I | 23 | 0 | 15.0 m | 52 | ||||
| Vorinostat | HDAC | Monotherapy | Recurrent GBM | II | 66 | 2 ORR | 5.7 m | 15.2 | ||
| Romidepsin | HDAC | Monotherapy | Recurrent MG | I/II | GBM 35, AG 5 | GBM 0, AG 0 | GBM 34 w, AG 36 w | GBM 8 w | GBM 3, AG 0 | |
| Vandetanib | EGFR, VEGFR | Monotherapy | Recurrent MG | I/II | GBM 32, AG 32 | GBM 4, AG 2 ORR | GBM 6.3 m, AG 7.6 m | GBM6.5, AG 7 | ||
| AEE788 | EGFR, VEGFR | Monotherapy | Recurrent GBM | I | 64 | 0 | 1.6-2.7 m | |||
| Sunitinib | PDGFR, VEGFR, c-KIT | Monotherapy | Recurrent MG | II | GBM 16, AG 14 | 0 | GBM 12.6 m, AG 12.1 m | GBM 1.4 m, AG 4.1 m | GBM 16.7, AG 21.5 | |
| Sunitinib + Irinotecan | Recurrent MG | I | 25 | 1 PR | 53.1 w | 6.9 w | 24 | |||
| Sorafenib | RAF, VEGFR, PDGFR | Sorafenib + TMZ + RT | HGG | I | 18 | 1 CR, 4 PR | 18 m |
RR, response rate; CR, complete response; PR, partial response; ORR, objective/overall response rate = CR + PR; SD, stable disease; TTP, time to progression; m, months; w, weeks; d, days; NG GBM, newly diagnosed GBM; HGG, high-grade glioma; AA, anaplastic astrocytoma; AG, anaplastic glioma; MG, malignant glioma; HER, human epithelial factor receptor; RT, radiotherapy.