| Literature DB >> 31093332 |
Abstract
The current treatment paradigm in head and neck cancer does not adequately address its clinical and biological heterogeneity. Data from genomic profiling studies in head and neck squamous cell carcinoma (HNSCC) have revealed the molecular features that are unique to HNSCC subgroups. This progress in the understanding of HNSCC biology provides an opportunity to develop personalized therapies for patients with distinct molecular subtypes to achieve better clinical outcomes including survival. However there are several well-recognized challenges that need to be overcome before genotype-matched therapies make precision medicine a reality for patients with HNSCC. Selection of appropriate patients for biomarker directed clinical trials based on sound scientific rationale will be critical in making cancer genomics more applicable in this malignancy.Entities:
Keywords: CCND1 Amplification; Cetuximab; PIK3CA Amplification; PIK3CA Mutation; Tumor Mutation Burden
Year: 2016 PMID: 31093332 PMCID: PMC6457141 DOI: 10.1186/s41199-016-0004-y
Source DB: PubMed Journal: Cancers Head Neck ISSN: 2059-7347
Fig. 1Genomically driven dysregulated pathways and potential matched therapies in HNSCC. Combination strategies currently being tested in ongoing clinical trials are also shown. Abbreviations: MAB, monoclonal antibody; TKI, tyrosine kinase inhibitor
Current active trials in HNSCC with novel single agentsa
| Trial Number | Trial phase | Drug | Pathway targeted | Molecular selection | Setting | Status |
|---|---|---|---|---|---|---|
| NCT02429089 | 1 | LEE011 | Cell cycle | No | Recurrent, metastatic | Recruiting |
| NCT02264678 | 1, 2 | AZD6738 | DNA repair | No | Recurrent, metastatic, in combination with chemotherapy or MEDI4736 or olaparib | Recruiting |
| NCT02567396 | 1 | Talazoparib | DNA repair | No | Recurrent, metastatic | Not yet recruiting |
| NCT01711541 | 1, 2 | Veliparib | DNA repair | No | Recurrent, metastatic, in combination with chemotherapy | |
| NCT02365662 | 1 | ABBV-221 | EGFR | No | Recurrent, metastatic | Recruiting |
| NCT01345669 | 3 | Afatinib | ERBB | No | Placebo controlled post-chemoradiotherapy | Recruiting |
| NCT01415674 | 2 | Afatinib | ERBB | No | Neoadjuvant | Active, not recruiting |
| NCT01427478 | 3 | Afatinib | ERBB | No | Placebo controlled randomised phase 3, maintenance therapy after post-operative chemoradiotherapy | Recruiting |
| NCT02131155 | 3 | Afatinib | ERBB | No | Placebo controlled adjuvant trial | Recruiting |
| NCT02216916 | 2 | HM781-36B | ERBB | No | Recurrent, metastatic | Recruiting |
| NCT02145312 | 2 | BYL719 | PI3K | No | Recurrent, metaststic | Not yet recruiting |
| NCT02540928 | 2a | AMG319 | PI3K | HPV-negative | Placebo controlled neoadjuvant therapy | Recruiting |
aClinical trials with immune checkpoint inhibitors are not included in this Table
Current active trials in HNSCC testing the safety and efficacy of novel drug combinations
| Trials | Trial phase | Drug 1 | Drug 2 | Pathway 1 | Pathway 2 | Setting | Status |
|---|---|---|---|---|---|---|---|
| NCT01716416 | 1 | Pazopanib | Cetuximab | Angiogenesis | EGFR | Recurrent, metastatic | Recruiting |
| NCT02499120 | 2 | Palbociclib | Cetuximab | Cell cycle | EGFR | Plcebo controlled randomized phase II, recurrent, metastatic | Recruiting |
| NCT02101034 | 1,2 | Palbociclib | Cetuximab | Cell cycle | EGFR | Recurrent, metastatic | Recruiting |
| NCT01711541 | 1, 2 | Veliparib | Chemotherapy | DNA repair | EGFR | Recurrent, metastatic | Recruiting |
| NCT02538627 | 1 | MM-151 | MM-121 | EGFR | ERBB | Recurrent, metastatic | Recruiting |
| NCT02501096 | 1, 2 | Pembrolizumab | Lenvatinib | Immune | Angiogenesis | Recurrent, metastatic | Recruiting |
| NCT02454179 | 2 | Pembrolizumab | ACP-196 | Immune | Bruton Tyrosine Kinase | Recurrent, metastatic | Recruiting |
| NCT02646748 | 1 | Pembrolizumab | INCB039110/INCB050465 | Immune | JAK/PI3K | Recurrent, metastatic | Recruiting |
| NCT01468896 | 1, 2 | Recombinant interleukin-2 | Cetuximab | Immune | EGFR | Recurrent, metastatic | Active, not recruiting |
| NCT02507154 | 1, 2 | NK cells | Cetuximab | Immune | EGFR | Recurrent, metastatic | Recruiting |
| NCT02643550 | 1, 2 | Monalizumab | Cetuximab | Immune | EGFR | Recurrent, metastatic | Recruiting |
| NCT02110082 | 1 | Urelumab | Cetuximab | Immune | EGFR | Recurrent, metastatic | Active, not recruiting |
| NCT02124850 | 1 | Motolimod/Nivolumab | Cetuximab | Immune | EGFR | Stage II-IVA, neoadjuvant | Recruiting |
| NCT02586987 | 1 | MEDI4736 | Selumetinib | Immune | MEK | Recurrent, metastatic | Recruiting |
| NCT01871311 | 1 | Nilotinib | Cetuximab | Kit | EGFR | Recurrent, metastatic | Recruiting |
| NCT02277197 | 1 | Ficlatuzumab | Cetuximab | MET | EGFR | Recurrent, metastatic | Recruiting |
| NCT01332266 | 1, 2 | E7050 | Cetuximab | MET | EGFR | Recurrent, metastatic | Recruiting |
| NCT02205398 | 1 | INC280 | Cetuximab | MET | EGFR | Recurrent, metastatic | Recruiting |
| NCT01285037 | 1 | LY2801653 | Cetuximab | MET | EGFR | Recurrent, metastatic | Recruiting |
| NCT01602315 | 1b, 2 | BYL719 | Cetuximab | PI3K | EGFR | Recurrent, metastatic | Active, not recruiting |
| NCT01488318 | 2 | Dasatinib | Cetuximab | Scr | EGFR | Recurrent, metastatic | Recruiting |
Summary of head and neck cancer clinical samples in genome sequencing studies
| Study | Total samples | Oral cavity | Oropharynx | Hypopharynx | Larynx | Other primary sites | Lymph nodes | Metastatic samples | HPV-Positive | HPV-Negative |
|---|---|---|---|---|---|---|---|---|---|---|
| Stransky et al. [ | 92 | 51 (55 %) | 15 (16 %) | 7 (8 %) | 15 (16 %) | 2 (2 %) | - | - | 13 (14 %) | 79 (86 %) |
| Agrawal et al. [ | 32 | NK | NK | NK | NK | NK | - | - | 4 (12 %) | 28 (88 %) |
| Chung et al. [ | 252 | 53 (21 %) | 12 (5 %) | - | 7 (3 %) | 103 (41 %) | 25 (10 %) | 80 (32 %) | 84 (33 %) | 168 (67 %) |
| Seiwert et al. [ | 120 | 23 (19 %) | 67 (56 %) | 8 (7 %) | 19 (16 %) | 3 (2 %) | - | - | 51 (42 %) | 69 (58 %) |
| Pickering et al. [ | 38 | 38 (100 %) | - | - | - | - | - | - | NK | NK |
| TCGA [ | 279 | 172 (62 %) | 33 (12 %) | - | 72 (26 %) | - | - | - | 36 (13 %) | 243 (87 %) |
Abbreviation: NK not known, TCGA The Cancer Genome Atlas