| Literature DB >> 28123873 |
Fenge Li1, Caixia Chen2, Tao Ju2, Junqin Gao3, Jun Yan4, Peng Wang5, Qiang Xu6, Patrick Hwu7, Xueming Du2, Gregory Lizée8.
Abstract
Personalized immunotherapy targeting tumor-specific mutations represents a highly promising approach to cancer treatment. Here, we describe an Asian lung squamous cell carcinoma patient demonstrating frank disease progression following chemotherapy and EGFR inhibitor treatment. Based on tumor mutational profiling and HLA typing, a saline-based multi-epitope peptide vaccine was designed and administered along with topical imiquimod as an adjuvant. Weekly neo-epitope peptide vaccination was followed by a rapid and dramatic regression of multiple lung tumor nodules, while a much larger liver metastasis remained refractory to treatment. Peripheral blood immune monitoring showed that specific cytotoxic T lymphocytes (CTLs) were induced primarily against peptide targets encompassing the widely shared EGFR L858R mutation, particularly one restricted to HLA-A*3101. Immunological targeting of this driver mutation may be of particular benefit to Asian lung cancer patients due to its relatively high prevalence within this patient population.Entities:
Keywords: Cancer vaccine; EGFR L858R mutation; cytotoxic T cells; epidermal growth factor receptor; lung cancer; neo-epitope; personalized immunotherapy
Year: 2016 PMID: 28123873 PMCID: PMC5214696 DOI: 10.1080/2162402X.2016.1238539
Source DB: PubMed Journal: Oncoimmunology ISSN: 2162-4011 Impact factor: 8.110
Figure 1.Diagnostic assessment, treatment, and clinical monitoring of lung cancer patient. (A) Pre-treatment assessment of Stage IV lung squamous cell carcinoma (T4N0M1ab), as determined by chest CT scans (a,c) and pathological examination of H&E stained needle biopsies (b,d). (B) Timeline indicating treatment dates of frontline and maintenance cycles of Vinorelbine chemotherapy, erlotinib treatment, and personalized peptide vaccination. The corresponding chronological series of chest and abdominal CT scans are shown, from initial patient assessment (a,f), during and following chemotherapy (b,c,g,h), following erlotinib treatment (d,i), and 38 d following the initiation of personalized peptide vaccination (e,j).
Genetic sequencing analysis of patient lung tumor and HLA typing.
| HLA typing results: | |||||||
|---|---|---|---|---|---|---|---|
| Gene | DNA mutation | Predicted protein alteration | HLA-A | HLA-B | HLA-C | HLA-DQB1 | HLA-DRB1 |
| 2573T>G | L858R | A*1101 A*3101 | B*3501 B*4006 | C*0303 C*0801 | DQB1*0401 DQB1*0602 | DRB1*0405 DRB1*1501 | |
| 811delA | S271A fs*16 | ||||||
| 6663C>A | F2221L | ||||||
| 1382A>G | N461S | ||||||
| 2431C>T | R811C | ||||||
Somatic mutations were detected by both whole exome sequencing and 508 cancer-associated gene analysis (see Methods).
Personalized neo-epitope vaccine peptides and predicted HLA binding.
| Protein | Amino acid change | HLA allele | WT peptide affinity (nM) | Peptide designation | ||
|---|---|---|---|---|---|---|
| EGFR | L858R | HVKITDFG | A*3101 | 3637 | H9R9 | |
| KITDFG | A*1101 | 71 | K9R7 | |||
| HVKITDFG | A*3101 | 305 | 296 | H11R9 | ||
| A*3101 | 903 | 4611 | R10R1 | |||
| STK11 | S271ins.16 | ATPSRATVAPR | A*3101 | 53 | NA | AT11*fs |
| RATVAPRSL | C*0303 | NA | RA9*fs | |||
| FENIGKG*ATPSRATVAPRSLT | DQB1*0602 | 185 | NA | FE21*fs | ||
| NAV3 | F2221L | VTIGPRL | C*0303 | V9L8 | ||
| GPRL | B*3501 | 1075 | 1197 | G10L5 | ||
| EPHB1 | N461S | QP | B*3501 | Q9S3 | ||
| PTCH2 | R811C | B*3501 | 1298 | 4272 | C11C1 |
Predicted HLA-binding mutant peptides included in the peptide vaccine. Mutated amino acid residues are underlined.
HLA-binding affinities of mutated and corresponding wild-type peptides, as predicted by NetMHC3.4. Bold font indicates peptides with very high-predicted HLA-binding affinity (< 50 nM).
Figure 2.Immune monitoring of vaccination-induced peripheral blood T-cell response. Peripheral blood mononuclear cells (PBMC) collected prior to vaccination (Week 0) and at Weeks 4 and 7 post-vaccination were assessed for peptide-specific T-cell recognition using three assays. (A) Summary of IFNγ ELISPOT results showing change in peptide-specific IFNγ-producing PBMC compared with pre-vaccine levels. Dashed line indicates a 3-fold increase. (B) IFNγ ELISPOT results for the four EGFR(L858R)-derived mutant peptides compared with no peptide and anti-CD3 controls. Spot counts per well are shown, with red font indicating an increase of 3-fold or more compared to pre-vaccine levels. (C) Summary of IFNγ ELISA results showing change in peptide-specific IFNγ secretion by pre- and post-vaccine patient PBMC following 5-d culture with vaccine or control peptides. See Table 1 for peptide designation codes and full peptide sequences. (D) Flow cytometric detection of peptide antigen-specific CD8+ cells by specific HLA-peptide tetramer staining. Pre- and post-vaccine PBMC were stained with anti-CD8+ mAb (y-axis) alone, or in combination with HLA-peptide tetramers (x-axis) specific for mutated EGFR(L858R) peptides HLA-A*3101/H9R9 (top row) or HLA-A*1101/K9R7 (bottom row). Percentages of tetramer-positive CD8+ T cells are indicated. All experiments were performed at least twice with comparable results, with representative experiments depicted. Red arrows indicate T-cell reactivity against the H9R9 EGFR-derived peptide, which induced the most robust T-cell responses in all three assays.
Mutant EGFR (L858R) peptide binding to members of the HLA-A3 superfamily.
| Predicted binding affinities of mutant peptides (nM) | HLA allotype frequencies | ||||||
|---|---|---|---|---|---|---|---|
| Gene (mutation) | HLA allotype | HVKITDFGR | HVKITDFGRAK | KITDFGRAK | Asia | Western | Refs. |
| EGFR (L858R) | HLA-A03:01 | 11,758 | 4,406 | 221 | 4.2 | 12.4 | |
| HLA-A11:01 | 5,607 | 2,680 | 71 | 28.4 | 6.3 | ||
| HLA-A30:01 | 837 | 8 | 48 | 3.8 | 2.1 | ||
| HLA-A31:01 | 12 | 305 | 872 | 5.3 | 10.5 | ||
| HLA-A33:01 | 46 | 15,553 | 17,651 | 1.8 | 2.4 | ||
| HLA-A33:03 | 15 | 6,272 | 5,927 | 10.2 | 1.9 | ||
| HLA-A68:01 | 13 | 157 | 3,137 | 2.2 | 5.2 | ||
http://www.allelefrequencies.net.
http://www.cbs.dtu.dk/services/NetMHC-3.4/.
http://www.cbs.dtu.dk/services/NetMHCpan/.