Literature DB >> 28123873

Rapid tumor regression in an Asian lung cancer patient following personalized neo-epitope peptide vaccination.

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


Introduction

The well-described carcinogenic impact of tobacco smoke makes lung cancer one of the most highly mutated of all cancers. Recent large-scale clinical studies have shown that response rates of cancer patients to checkpoint blockade-based immunotherapy are well correlated with mutational burden, predicting that lung cancers may be particularly responsive to immunotherapeutic interventions. Although checkpoint-based approaches provide non-specific immune activation, this correlation suggests that the antitumor immune responses are mediated largely through the activation of T lymphocytes recognizing mutated peptides presented by HLA molecules at the tumor cell surface. Although identification of mutated peptide epitope targets in individual patients remains a daunting technical challenge, recent advances in next generation genetic sequencing has provided a strong foundation on which to build these efforts. Overcoming this hurdle holds the promise of a more personalized and focused approach to activating antitumor immunity, without the off-target autoimmune side effects frequently observed with checkpoint blockade. Recent vaccination approaches employing mutated peptides to stimulate antitumor immunity have shown success in generating specific cytotoxic T lymphocyte (CTL) responses in human melanoma patients, and similar approaches in murine models have resulted in substantial tumor regressions. These highly encouraging studies have led to the initiation of several mutated peptide vaccine trials aiming to test whether such clinical benefits are translatable to human cancer patients.

Case report

A previously healthy 85-y-old man of Asian descent was admitted to the Oncology Department of Beichen Hospital (Tianjin, China) in March 2014 due to chest pain, cough, fever, and difficulty breathing.  Blood tests were normal, showing no evidence of potential infection. Computed tomography (CT) chest scans revealed an irregular mass (3.5 × 4.2 × 6.9 cm) in the hilum of the right lung, accompanied by extensive pleural effusion.  A smaller mass (0.5 × 1.0 × 0.7 cm) was also observed in the left lung, and an abdominal CT scan also revealed an irregular mass (1.5 × 1.0 × 0.9 cm) on the edge of the liver (Figs. 1A and B). Precutaneous pulmonary and disseminated pleural needle biopsies were performed, with hematoxylin and eosin (H&E) tissue staining and examination by pathologist resulting in a diagnosis of Stage IV lung squamous cell carcinoma (T4N0M1ab) with performance status (PS) of 2 (Fig. 1A).
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).

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). Based on disease stage, patient age, and PS score, standard chemotherapeutic treatment consisting of repeated cycles of 5 mg/m2 Vinorelbine administered on Days 1 and 8 was initiated. The patient underwent nine cycles of single-agent chemotherapy at time intervals of ∼28 d over 8 mo (Fig. 1B). CT scans of the chest and abdomen performed after six cycles and nine cycles revealed significant tumor regression of both the pulmonary tumors and the liver mass (Figs. 1B), which was accompanied by an overall decrease in chest pain. However, the patient continued to experience frequent night sweats and fever and continued to lose weight (∼25 lb) due to the chemotherapy-related side effects of poor appetite and vomiting. Performance status was decreased to PS3 and chemotherapy had to be discontinued. Genetic testing of a lung tumor needle biopsy specimen had revealed the presence of the common L858R driver mutation of the epidermal growth factor receptor (EGFR) gene. Second-line therapy with the EGFR inhibitor erlotinib hydrochloride (150 mg daily) was therefore initiated following cessation of maintenance chemotherapy. However, erlotinib treatment did not ease the coughing or fever symptoms, and chest pain got progressively worse. The patient also started to experience serious abdominal pain in the area near the liver metastasis. Three months following initiation of the EGFR inhibitor, CT scans of the chest and abdomen revealed a dramatic increase in the number of tumors within the right lung (Fig. 1B), and significant progression of the liver tumor (measured at 4.9 × 6.7 × 5.0 cm, Fig. 1B). The patient’s PS remained at 3 and erlotinib therapy was discontinued. With erlotinib-resistant disease and low PS restricting the patient’s standard treatment options (including chemotherapy), he was offered a personalized multi-epitope peptide vaccine designed based on the unique somatic mutation profile present in his tumor, as detected with next-generation genetic sequencing. The patient expressed a strong desire to receive the vaccine and was consented accordingly. A needle biopsy of the original lung tumor was performed 2 weeks following cessation of erlotinib therapy to obtain fresh tumor tissue, which subsequently underwent mutational profiling by whole exome sequencing (WES) as well as mutational testing for a panel of 508 cancer-associated genes. Ninety-three non-synonymous somatic mutations were detected by WES, five of which were confirmed in the 508-gene test (Table 1). Mutation-containing peptide fragments encoded by the five mutated genes were assessed for predicted binding to the patient’s HLA class I and class II molecules using peptide binding prediction algorithms. Several mutated peptide fragments were predicted to bind to the patient’s HLA allotypes, including four peptides with very high-predicted binding affinity (Table 2). Peptides were dissolved in saline and administrated weekly in two separate peptide cocktails (five short + one long, 200 ug of each peptide), one into each arm by subcutaneous injection. Aldara cream (5% Imiquimod) was applied topically over each vaccination site immediately afterwards in order to provide immune activation co-stimulatory signals to professional antigen-presenting cells through stimulation of Toll-like receptors (TLR) 7 and 8. Other than a temporary rash occurring at the vaccine site following immunization, no adverse events were noted. No other therapy was given or received during the immunization period.
Table 1.

Genetic sequencing analysis of patient lung tumor and HLA typing.

1Somatic mutations in tumor:HLA typing results:
GeneDNA mutationPredicted protein alterationHLA-AHLA-BHLA-CHLA-DQB1HLA-DRB1
EGFR2573T>GL858RA*1101 A*3101B*3501 B*4006C*0303 C*0801DQB1*0401 DQB1*0602DRB1*0405 DRB1*1501
STK11811delAS271A fs*16     
NAV36663C>AF2221L     
EPHB11382A>GN461S     
PTCH22431C>TR811C     

Somatic mutations were detected by both whole exome sequencing and 508 cancer-associated gene analysis (see Methods).

Table 2.

Personalized neo-epitope vaccine peptides and predicted HLA binding.

ProteinAmino acid change1Mutant peptideHLA allele2Mutant peptide affinity (nM)WT peptide affinity (nM)Peptide designation
EGFRL858RHVKITDFGRA*3101103637H9R9
  KITDFGRAKA*11017118K9R7
  HVKITDFGRAKA*3101305296H11R9
  RAKLLGAEEKA*31019034611R10R1
STK11S271ins.16ATPSRATVAPRA*310153NAAT11*fs
  RATVAPRSLC*030320NARA9*fs
  FENIGKG*ATPSRATVAPRSLTDQB1*0602185NAFE21*fs
NAV3F2221LVTIGPRLLLC*03032417V9L8
  GPRLLLPCPMB*350110751197G10L5
EPHB1N461SQPSGIILDYB*3501129Q9S3
PTCH2R811CCNGSEDGALAYB*350112984272C11C1

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).

Genetic sequencing analysis of patient lung tumor and HLA typing. 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. 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). Two weeks after initiating vaccination, the patient reported notable improvements in breathing and significant alleviation of chest pain. Cough symptoms and occurrence of fever were also reduced, and soon afterwards his PS score was raised to 2. A chest CT scan performed 38 d following the initiation of peptide vaccination showed a remarkable regression of multiple tumor nodules in the right lung compared to those observed in pre-vaccine scans (Fig. 1B). By contrast, the large liver metastasis showed slight progression over the same time period (5.1 × 6.4 × 5.2 cm, Fig. 1B). Despite the robust antitumor response observed in the lung, over the following 3 weeks the patient began to experience increasing abdominal pain and reduced performance status, and the peptide vaccine was discontinued after eight doses. He expired shortly afterwards from complications due to progression of the liver metastasis.

Results

Assessment of vaccine-induced antigen-specific cytotoxic T cell response

Peripheral blood was collected from the patient prior to immunization (Week 0), and again at Weeks 4 and 7 post-vaccination. To determine whether functional, antigen-specific T lymphocytes were induced by the peptide vaccine, PBMC from each time point were analyzed for interferon-γ (IFNγ) production ex vivo following stimulation with each of the vaccine peptides individually. As shown in Fig. 2A, IFNγ ELISPOT analysis showed that antigen-specific T-cell frequencies were significantly increased (>3-fold) against 6 of the 11 mutated peptides compared to pre-vaccine levels. Notably, three peptides eliciting the largest fold change were all derived from mutated EGFR-L858R (Fig. 2B). Pre- and post-vaccine PBMC were also analyzed for IFNγ secretion by ELISA assay following culture with individual vaccine peptides and re-stimulation on Day 7. These results corroborated the ELISPOT results for two of the three mutated EGFR-derived peptides H9R9 (HVKITDFGR) and K9R7 (KITDFGRAK), in addition to one of the NAV3-derived peptides, V9L8 (VTIGPRLLL, Fig. 2C).
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.

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. To confirm antigen specificity, custom HLA-peptide tetramers were successfully generated for the two most reactive EGFR peptides, H9R9 (restricted to HLA*A3101) and K9R7 (restricted to HLA-A*1101). Week 0 and Week 4 PBMC demonstrated little or no specific staining with the EGFR-H9R9 tetramer. However, Week 7 post-vaccine PBMC showed a clear tetramer-positive population that constituted 1.2% of total CD8+ T lymphocytes (Fig. 2D). These results were consistent with the Week 7 ELISPOT results, in which ∼1% of CD8+ PBMC produced IFNγ in response to H9R9 peptide stimulation. By contrast, the EGFR-K9R7 tetramer did not specifically stain patient PBMC, possibly due to reduced tetramer stability resulting from the moderate predicted affinity of the K9R7 peptide for HLA-A*1101 (Table 2). In summary, immune monitoring demonstrated immune reactivity against a number of peptides, with the most robust post-vaccine CD8+ T-cell response detected against the HLA-A*3101-restricted EGFR-H9R9 peptide.

Discussion

Although cancer vaccine trials have been ongoing for over two decades, objective clinical responses to vaccination have remained relatively rare, more typically resulting in modest benefits in progression-free survival.The squamous cell carcinoma patient reported here is notable in this regard, having experienced a rapid and dramatic regression of multiple lung tumors following neo-epitope peptide vaccination. For reasons discussed below, we do not expect such a response to be typical with this vaccination approach; however, we do believe this case illuminates some critical concepts and challenges that are highly relevant to the design and potential success of future cancer vaccine trials. One major feature that sets this approach apart from the majority of prior cancer vaccine trials is the use of patient-specific, mutated peptide antigens predicted by next-generation sequencing, which has only recently become possible to perform routinely in individual patients. Several lines of evidence support the notion that a significant proportion of antitumor T-cell responses are focused upon somatically-mutated peptides presented by either HLA class I or class II molecules. For example, tumor-infiltrating lymphocytes (TIL) have been shown to frequently recognize tumor-associated mutated peptide antigens; furthermore, the responses to checkpoint blockade-based immunotherapies have been well correlated with mutational burden of the tumor. Mutated antigens are known to be substantially more immunogenic compared with non-mutated tumor antigens, therefore significantly increasing the chances of generating a productive tumor-specific T-cell response through vaccination. In addition, targeting multiple, personalized peptide epitopes (in this case, 11) may have led to a broader immune response than was possible with most prior vaccine trials, which have typically focused on targeting single or just a few antigens.  Employing a saline-based vaccine rather than using Incomplete Freund’s Adjuvant (IFA) may have also led to increased vaccine efficacy, as IFA vaccine depots have been shown to attract and deplete antigen-specific T cells, which has possibly compromised the effectiveness of prior vaccine formulations. Of the 93 somatic mutations detected by WES, we chose to focus on targeting mutations from five known cancer-associated genes (EGFR, PTCH2, EPHB1, NAV3, and STK11), reasoning they would be most likely to be expressed at the protein level and least likely tolerated to be lost through immune selection and tumor escape. Mutated peptides derived from four of the five genes were predicted to bind with high affinity (Table 2). Functional immune monitoring showed that peptide vaccination induced antigen-specific CD8+ T cell responses by Week 7 against 6 of the 11 peptides by IFNγ ELISPOT, three of which were confirmed by ELISA. Of note, two of the three confirmed peptides (H9R9 and K9R7) were derived from the well-described shared EGFR-L858R mutation harbored by ∼20% of Asian lung cancer patients, and less frequently (∼5%) by non-Asian patients. By week 7, vaccination with the high affinity (10 nM) H9R9 peptide induced a clear population of HLA-A*3101-restricted tetramer-positive CD8+ cells in the patient’s peripheral blood; however, tetramer-positive PBMC with specificity for the moderate affinity (71 nM) HLA-A*1101-restricted K9R7 peptide were not detectable. Whether these predicted differences in affinity accurately reflect actual HLA-peptide binding will require further study. Though we cannot exclude the contribution of multiple peptides to the clinical response observed (for example, the STK11 frameshift mutation), the dominant T-cell response seemed to be directed toward mutated EGFR, and specifically the H9R9 peptide. Interestingly, the L858R amino acid change has the potential to create true neo-epitope through alteration of a critical anchor residue in peptide position P9, which heavily favors binding to a number of HLA-A3 family members: HLA-A*3101, A*3301, A*3303, and A*6801, collectively expressed by ∼12% of the worldwide population and ∼20% of Asians (Table 3). Thus, this tumor-associated antigen may represent a shared, neo-epitope target for a significant number of lung cancer patients worldwide, particularly those of Asian descent. In China alone, ∼40,000 new cases per year of EGFR (L858R)-positive lung cancer patients are expected to be diagnosed that express one of these HLA allotypes. Being derived from a driver mutation, targeting mutated EGFR-derived peptides represents a particularly promising immunotherapeutic approach since the tumor very likely cannot lose the mutated EGFR protein. However, further laboratory studies will be required to validate these L858R peptide targets as being naturally processed and presented by lung cancer cells.
Table 3.

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 allotypeHVKITDFGRHVKITDFGRAKKITDFGRAKAsiaWesternRefs.
EGFR (L858R)HLA-A03:0111,7584,4062214.212.41,2
 HLA-A11:015,6072,6807128.46.31,2
 HLA-A30:018378483.82.11,2
 HLA-A31:01123058725.310.51,2
 HLA-A33:014615,55317,6511.82.41,3
 HLA-A33:03156,2725,92710.21.91,3
 HLA-A68:01131573,1372.25.21,2

http://www.allelefrequencies.net.

http://www.cbs.dtu.dk/services/NetMHC-3.4/.

http://www.cbs.dtu.dk/services/NetMHCpan/.

Mutant EGFR (L858R) peptide binding to members of the HLA-A3 superfamily. http://www.allelefrequencies.net. http://www.cbs.dtu.dk/services/NetMHC-3.4/. http://www.cbs.dtu.dk/services/NetMHCpan/. A number of important limitations remain to be overcome in order to further optimize the neo-epitope peptide vaccine approach. Currently, the most critical issue concerns target epitope identification: simply stated, there are substantially more (>100-fold) potential predicted mutated peptides than are actually presented by tumor cells. Although quantitating tumor-associated gene expression by RNAseq or measuring TIL reactivity can provide some guidance regarding epitope choice, which mutated peptides constitute bona fide tumor antigens in individual cancer patients remains largely unknown. Mass spectrometry-based methods though promising currently lack the sensitivity required to directly detect mutated peptide antigens from most patient tumor samples, which are often of limited size. Narrowing down the list of potential neo-epitopes is currently a major unresolved clinical challenge, particularly for highly mutated cancers such as melanoma and lung carcinoma. A further challenge concerns how to best increase the potency of cancer vaccines with the use of specific immune adjuvants. Several human and animal studies suggest this limitation may be overcome by employing Type I interferon-inducing TLR agonists in combination with anti-CD40 or anti-CD70, for which clinical reagents are currently available. Based on recent studies, mutated peptide-pulsed dendritic cell (DC)-based vaccines hold tremendous promise for generating effective CTL responses. Immune suppression within the tumor microenvironment also constitutes a major limitation to any immune-based therapy. However, several new agents designed to overcome this problem are currently in clinical use or in development, including T-cell checkpoint blockade approaches (anti-CTLA4, anti-PD1/PD-L1), depletion/conversion of tumor-associated myeloid cells (CSF1 inhibitors), suppressive enzyme inhibition (indolamine deoxygenase (IDO) inhibitors), or oncogene-targeted agents (BRAF-V600E inhibitors).Determining the best combination of immunotherapeutic agents to use for individual patients in the context of vaccination remains a formidable clinical question. The last critical concept illustrated by this case report relates to the highly mixed nature of the clinical response induced by the neo-epitope vaccine: Despite the fact that several tumors in the lung demonstrated a remarkable degree of regression in 6 weeks, the much larger liver metastasis remained refractory to treatment. Although it was not possible to analyze further, we speculate that this may reflect tumor heterogeneity, size of the tumor burden, the immunosuppressive microenvironment of the liver, or a combination of these factors. The clonal evolution of tumors suggests a potential advantage of targeting early mutations as opposed to mutations acquired late in evolution, and targeting driver mutations over passenger mutations that can more easily be lost. However, increased tumor burden contributes not only to increased tumor heterogeneity, but also to augmented tumor suppression associated with therapeutic resistance. Knowing the dominant mechanisms of immune suppression within the liver-tumor microenvironment of the patient may have enabled a rational combination therapy with which to overcome resistance. In this context, employing next-generation genetic sequencing methods such as RNAseq analysis to different tumor sites within the same patient will provide a foundation on which to build these important efforts to address tumor heterogeneity and immune suppression. The well-documented correlation of tumor burden and therapeutic resistance as illustrated here reinforces the notion that vaccinating at earlier stages of disease, or in the adjuvant setting, will likely increase the chance of positive clinical outcomes.

Methods

Ethics and patient consent

The personalized peptide vaccine protocol for this patient conformed to the ethical guidelines of the 1975 Declaration of Helsinki, and was approved by ethics committee of Beichen Hospital, Tianjin, China. Informed consent was obtained from the patient and his family.

Genetic analyses

Lung tumor samples obtained by needle biopsy were analyzed using a 508 cancer-associated gene panel (BGI Diagnostics), revealing the presence of five somatic mutations (Table 1). Tumors were also analyzed by WES (GenomiCare Biotechnology Co. Ltd.), demonstrating 93 somatic mutations in total and providing confirmation of the five genetic lesions detected by the 508-gene panel. High-resolution HLA typing analysis was performed on patient peripheral blood (BGI).

Peptides and vaccination

Mutated peptides for the personalized vaccine were chosen based on highest predicted affinity to the patient’s HLA class I and class II molecules according to the HLA-peptide prediction algorithms NetMHC3.4 (http://www.cbs.dtu.dk/services/NetMHC-3.4/) and NetMHC2.2 (http://www.cbs.dtu.dk/services/NetMHCII/). Reasoning that cancer-associated genes are more likely to be expressed at the RNA and protein levels, it was decided to design the vaccine based on mutated peptides derived from the five somatic mutations detected by the 508-gene panel. As shown in Table 1, 11 peptides (10 short and 1 long) were provided (Sangon Biotech Company Ltd. and Hang Jia Biotechnology Development Company) at >98% purity and tested for sterility and the presence of endotoxin to ensure safety and tolerability. Peptides were solubilized individually in sterile phosphate-buffered saline (PBS), mixed into two separate peptide cocktails (each with five short peptides and one long peptide in 1 mL total volume) and injected subcutaneously into the left and right extremities. The patient received 200 μg of each peptide per immunization, given weekly for 8 weeks. As a vaccine adjuvant, Aldara cream with 5% imiquimod was applied topically over the vaccine site immediately afterward.

HLA population frequencies

Estimated HLA frequencies in Asian and Western countries in Table 3 were calculated by deriving the mean allotype frequency of the following representative nations (from http://www.allelefrequencies.net/) and normalizing for population size: Asian countries: China, Japan, Vietnam, Singapore, Thailand; Western countries: United States, England, France, Italy, Spain, Hungary, Mexico, Argentina. Worldwide HLA-A frequency estimates were derived from allotype frequencies listed at http://www.pypop.org/popdata/2008/byallele-A.php.

Immune monitoring

Peripheral blood mononuclear cells (PBMC) were isolated by Ficoll density gradient centrifugation and counted in the presence of trypan blue dye to evaluate viability. For ELISPOT assay, 1.25 × 105 PBMC per well were cultured for 36 h with individual vaccine or control peptides (5 ug/mL) in a 96-well plate and developed according to the manufacturer’s instructions (Human IFNγ ELISpotPRO kit, MABTECH Inc., USA). For ELISA assay, PBMC were cultured for 5 d at 1 × 105 cells per well in the presence of individual vaccine or control peptides (5 ug/mL) and 300 IU/mL interleukin(IL)-2. Cultured PBMC were re-stimulated with individual peptides on Day 5 and cell supernatants were collected 6 h later. IFNγ concentration was measured using a human IFNγ ELISA kit (Invitrogen, USA). For tetramer analysis, custom phycoerethrin(PE)-conjugated tetramers (Baylor College of Medicine, USA) were successfully generated for the H9R9 (HVKITDFGR) and K9R7 (KITDFGRAK) peptides restricted to HLA-A*3101 and HLA-A*1101, respectively. A total of 1 × 106 PBMC from each time point were stained with each custom tetramer along with anti-CD8+-PerCP (Biolegend), and analyzed by flow cytometry.
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  13 in total

1.  SLC45A2: A Melanoma Antigen with High Tumor Selectivity and Reduced Potential for Autoimmune Toxicity.

Authors:  Jungsun Park; Amjad H Talukder; Seon A Lim; Kwanghee Kim; Ke Pan; Brenda Melendez; Sherille D Bradley; Kyle R Jackson; Jahan S Khalili; Junmei Wang; Caitlin Creasy; Bih-Fang Pan; Scott E Woodman; Chantale Bernatchez; David Hawke; Patrick Hwu; Kyung-Mi Lee; Jason Roszik; Gregory Lizée; Cassian Yee
Journal:  Cancer Immunol Res       Date:  2017-06-19       Impact factor: 11.151

Review 2.  Trial watch: DNA-based vaccines for oncological indications.

Authors:  Stefano Pierini; Renzo Perales-Linares; Mireia Uribe-Herranz; Jonathan G Pol; Laurence Zitvogel; Guido Kroemer; Andrea Facciabene; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2017-11-20       Impact factor: 8.110

3.  HLA Class I Binding of Mutant EGFR Peptides in NSCLC Is Associated With Improved Survival.

Authors:  Anastasios Dimou; Paul Grewe; John Sidney; Alessandro Sette; Paul J Norman; Robert C Doebele
Journal:  J Thorac Oncol       Date:  2020-09-11       Impact factor: 15.609

4.  A library-based screening method identifies neoantigen-reactive T cells in peripheral blood prior to relapse of ovarian cancer.

Authors:  Spencer D Martin; Darin A Wick; Julie S Nielsen; Nicole Little; Robert A Holt; Brad H Nelson
Journal:  Oncoimmunology       Date:  2017-09-21       Impact factor: 8.110

Review 5.  The Potential of Donor T-Cell Repertoires in Neoantigen-Targeted Cancer Immunotherapy.

Authors:  Terhi Karpanen; Johanna Olweus
Journal:  Front Immunol       Date:  2017-12-11       Impact factor: 7.561

Review 6.  Trial watch: Peptide-based vaccines in anticancer therapy.

Authors:  Lucillia Bezu; Oliver Kepp; Giulia Cerrato; Jonathan Pol; Jitka Fucikova; Radek Spisek; Laurence Zitvogel; Guido Kroemer; Lorenzo Galluzzi
Journal:  Oncoimmunology       Date:  2018-09-06       Impact factor: 8.110

Review 7.  Exploiting Tumor Neoantigens to Target Cancer Evolution: Current Challenges and Promising Therapeutic Approaches.

Authors:  Ravi G Gupta; Fenge Li; Jason Roszik; Gregory Lizée
Journal:  Cancer Discov       Date:  2021-03-15       Impact factor: 38.272

Review 8.  Personalized neoantigen vaccination with synthetic long peptides: recent advances and future perspectives.

Authors:  Xiaotong Chen; Ju Yang; Lifeng Wang; Baorui Liu
Journal:  Theranostics       Date:  2020-05-15       Impact factor: 11.556

9.  Unique true predicted neoantigens (TPNAs) correlates with anti-tumor immune control in HCC patients.

Authors:  Annacarmen Petrizzo; Maria Tagliamonte; Angela Mauriello; Valerio Costa; Marianna Aprile; Roberta Esposito; Andrea Caporale; Antonio Luciano; Claudio Arra; Maria Lina Tornesello; Franco M Buonaguro; Luigi Buonaguro
Journal:  J Transl Med       Date:  2018-10-19       Impact factor: 5.531

10.  Neoantigen vaccination induces clinical and immunologic responses in non-small cell lung cancer patients harboring EGFR mutations.

Authors:  Fenge Li; Ligang Deng; Kyle R Jackson; Amjad H Talukder; Arjun S Katailiha; Sherille D Bradley; Qingwei Zou; Caixia Chen; Chong Huo; Yulun Chiu; Matthew Stair; Weihong Feng; Aleksander Bagaev; Nikita Kotlov; Viktor Svekolkin; Ravshan Ataullakhanov; Natalia Miheecheva; Felix Frenkel; Yaling Wang; Minying Zhang; David Hawke; Ling Han; Shuo Zhou; Yan Zhang; Zhenglu Wang; William K Decker; Heather M Sonnemann; Jason Roszik; Marie-Andree Forget; Michael A Davies; Chantale Bernatchez; Cassian Yee; Roland Bassett; Patrick Hwu; Xueming Du; Gregory Lizee
Journal:  J Immunother Cancer       Date:  2021-07       Impact factor: 13.751

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