Immune checkpoint inhibitors are effective in treating a variety of malignancies, including metastatic bladder cancer. A generally accepted hypothesis suggests that immune checkpoint inhibitors induce tumor regressions by reactivating a population of endogenous tumor-infiltrating lymphocytes (TILs) that recognize cancer neoantigens. Although previous studies have identified neoantigen-reactive TILs from several types of cancer, no study to date has shown whether neoantigen-reactive TILs can be found in bladder tumors. To address this, we generated TIL cultures from patients with primary bladder cancer and tested their ability to recognize tumor-specific mutations. We found that CD4+ TILs from one patient recognized mutated C-terminal binding protein 1 in an MHC class II–restricted manner. This finding suggests that neoantigen-reactive TILs reside in bladder cancer, which may help explain the effectiveness of immune checkpoint blockade in this disease and also provides a rationale for the future use of adoptive T cell therapy targeting neoantigens in bladder cancer.

Urothelial carcinoma of the bladder is among the 10 most common malignancies worldwide, with an estimated 81,190 new cases and 17,240 deaths per year in the United States (1). Although the early-stage disease, which constitutes the majority of newly diagnosed cases, is curable with surgery, there have been no curative treatments for patients with metastases, whose 5-y overall survival remains around 15% (2).

Muscle-invasive bladder cancer (MIBC) is managed with radical cystectomy with neoadjuvant cisplatin-based chemotherapy in selected patients. For patients with metastatic disease, systemic chemotherapy is the standard of care, with excellent but short-lived response rates (2, 3). In addition to these modalities, other therapies have been successfully used in treatment of bladder cancer. In high-grade non-MIBC (NMIBC), intravesical instillation of Bacillus Calmette–Guérin (BCG), an attenuated strain of Mycobacterium bovis, was found effective in preventing relapse and progression of localized disease after transurethral resection of the bladder tumor (TURBT) (4, 5). Although its exact mechanism of action is still unclear, BCG was shown to elicit sustained inflammation and recruitment of T lymphocytes to the tumors (68).

In recent years, immune checkpoint inhibitors (ICIs) have emerged as an effective immunotherapy for several cancer types, including metastatic bladder cancer (9). ICIs are mAbs that block the function of inhibitory molecules, such as programmed cell death protein 1 (PD-1) expressed on the surface of T cells or its inhibitory ligand PD-1 ligand 1 (PD-L1) expressed on the surface of tumor cells or APCs. Blocking this inhibitory signaling can reactivate T cells to induce antitumor immune responses and subsequent tumor regression (10). When administered to patients with metastatic bladder cancer whose disease progressed after standard platinum-based chemotherapy or who could not tolerate it, ICIs led to durable tumor regressions in 15–20% of cases, with up to 11% complete responses in unselected patients (1119). These findings established a pivotal role for ICIs in the treatment of metastatic bladder cancer and provided valuable insight into its immunogenicity.

Studies in several cancer types demonstrated a positive correlation between the number of tumor mutations and the responses to ICIs (2023). Next to melanoma and selected types of lung cancer, bladder carcinoma exhibits the fourth highest mutation burden among all common malignancies, with a median of 155 to 219 mutations per tumor sample across several studies (2427). Among patients with metastatic bladder cancer treated with atezolizumab, an anti–PD-L1 Ab, the median tumor mutation number was significantly higher in patients who responded to therapy than in those who did not (11, 12, 28). A generally accepted hypothesis suggests that malignancies with a higher mutation burden are more immunogenic, as they are predicted to present a larger number of neoantigens in the MHC-restricted context. Accordingly, ICIs are thought to reactivate tumor-infiltrating lymphocytes (TILs), which can recognize these neoantigens and induce tumor regressions (20, 21, 2932).

We have previously shown that neoantigen-reactive TILs can be isolated from metastatic melanoma and gastrointestinal cancers and can lead to durable tumor regressions once in vitro expanded and transferred back into the patients (3337). Although TILs could be successfully grown from bladder tumors in our previous study (38), no study to date has shown whether TILs from bladder tumors can recognize neoantigens. To explore this, we first generated polyclonal TIL cultures from five patients with primary bladder tumors and cocultured them with autologous APCs presenting the products of cancer mutations. In this study, we describe the isolation and characterization of a neoantigen-reactive TIL population from a patient with primary localized urothelial carcinoma of the bladder.

Five patients with primary localized urothelial carcinoma of the bladder were evaluated and treated at the Urologic Oncology Branch at the National Cancer Institute (NCI). All patients were enrolled on protocols approved by the NCI Institutional Review Board, and they had provided their written informed consent for this study.

Tumor samples were obtained via TURBT or bladder diverticulectomy. TILs were cultured from tumor fragments, following a previously described approach (39). Briefly, tumor tissue was dissected free of hemorrhagic and necrotic areas and cut into ∼1 × 1–mm fragments (n = 12 or 24), which were then plated individually in 24-well plates and cultured in 2 ml of RPMI medium supplemented with 2 mM l-glutamine, 25 mM HEPES, 10 μg/ml gentamicin (all from Life Technologies, Carlsbad, CA), 10% human AB serum, and 6000 IU/ml IL-2 (Prometheus, San Diego, CA) for 6–8 wk. Medium was replenished twice weekly; the wells were split in 1:2 fashion when fully confluent and cryopreserved until further use.

Cancer-specific mutations were identified from tumor samples using whole-exome sequencing (WES), as described previously (35). Briefly, genomic DNA was first extracted from tumors and matched normal blood using a Maxwell instrument (Promega, Madison, WI). Next, WES libraries were prepared from genomic DNA (3 μg/sample) using SureSelectXT Target Enrichment System coupled with Human All Exon V4 target bait (Agilent Technologies, Santa Clara, CA). Libraries from Patient 2 (first resection) and Patient 5 were prepared and sequenced on an Illumina HiSeq2000 sequencer (Axeq/Macrogen USA, Rockville, MD). Libraries from Patients 1, 3, and 4 were prepared and sequenced in house on a NextSeq 500 desktop sequencer following the manufacturer’s instructions (Illumina, San Diego, CA). Sequencing reads were aligned to human genome build 19 using Novoalign MPI (http://www.novocraft.com/). Duplicates were marked using Picard MarkDuplicates tool; in/del realignment and base recalibration were carried out according to the GATK best practices workflow (https://www.broadinstitute.org/gatk/). After the data cleanup, pileup files were created using samtools mpileup (http://samtools.sourceforge.net). Somatic variants were called using Varscan2 (http://varscan.sourceforge.net) according to the following criteria: tumor and normal read counts of 10 or greater, variant allele frequency of 10% or greater, and tumor variant reads of four or more. Finally, variants were annotated using Annovar (http://annovar.openbioinformatics.org). Tumor-specific mutations for each patient are listed in Supplemental Table I.

Tandem minigenes (TMGs) were constructed as described previously (40). For nonsynonymous point mutations, each mutated amino acid was flanked bilaterally by a sequence encoding 12 wild-type (WT) amino acids to generate an individual minigene. For each frameshift mutation, a minigene was designed to contain the preceding 12 WT amino acids followed by mutated amino acids in the new reading frame, which terminated at the new stop codon. Next, up to 12 minigenes were linked together to generate TMGs, which were codon optimized, synthesized, and ligated into a pcDNA3.1 vector using an In-Fusion HD EcoDry Cloning Kit (Clontech/Takara, Mountain View, CA). TMG RNA was made by in vitro transcription using a HiScribe T7 Quick High Yield RNA Synthesis Kit (New England BioLabs, Ipswich, MA). RNA samples were purified using RNeasy Kit (Qiagen, Germantown, MD), quantified by spectrophotometry, and stored at −80°C until further use. The amino acid sequences of each TMG used in this study are shown in Supplemental Table I.

Crude or HPLC-purified (>90% purity) 25-mer peptides, each encoding a point mutation flanked on both sides with 12 WT amino acids, were synthesized by GenScript (Piscataway, NJ) as lyophilized power, resuspended in DMSO, and stored at −20°C until use.

To generate EBV-transformed B (EBV-B) cells, peripheral blood samples were collected in Vacutainer CPT (Cell Preparation Tubes with sodium heparin) (BD Biosciences, San Jose, CA), followed by isolation of PBMCs, according to the manufacturer’s instructions. Next, 1 × 107 PBMCs were cultured in 4 ml of complete RPMI medium (RPMI 1640 with 10% FBS [SAFC, St. Louis, MO] and Antibiotic–Antimycotic [Life Technologies]) with addition of 1 ml of B95-8 culture supernatant containing EBV (American Type Culture Collection, Manassas, VA) and 0.5 μg/ml cyclosporine A (Sigma-Aldrich, St. Louis, MO) for ∼4–6 wk. Medium with cyclosporine A was replenished as needed. The cells were further expanded in cyclosporine-free medium and cryopreserved until future use.

For Patient 2, sufficient PBMCs were obtained via leukapheresis, which enabled us to generate autologous dendritic cells (DCs). CD14+ monocytes were purified from PBMC using magnetic anti-CD14 microbeads (BD Biosciences) and cultured in Petri dishes (1 × 107 cells per dish) with complete RPMI medium supplemented with 50 ng/ml GM-CSF and 20 ng/ml IL- 4 (PeproTech, Rocky Hill, NJ). Five milliliters of fresh cytokine-supplemented medium was added on day 3. Nonadherent and loosely adherent cells were harvested and used for experiments on day 5 or 6.

Recognition of putative neoantigens was assessed by performing overnight cocultures of T cells and APCs, followed by measuring IFN-γ production or upregulation of activation markers 4-1BB (CD137) and OX40 (CD134) on the surface of T cells.

For peptide library screening, APCs were first incubated with pools of up to 12 individual peptides (final concentration ∼1 μM per peptide) for 24 h at 37°C and then washed twice prior to the coculture. For TMG library screening, APCs were electroporated with TMG RNA using Neon Transfection System (Life Technologies) according to the manufacturer’s instructions. Briefly, APCs were first washed with PBS and resuspended in R electroporation buffer at 1 × 107 cells/ml. Next, 10 μl of cellular suspension was mixed with 1 μg of TMG RNA and electroporated using 1500 V × 30 ms × 1 pulse for DCs or 1600 V × 10 ms × 3 pulses for EBV-B cells. Electroporated cells were rested in Opti-MEM (Life Technologies) for 1 h at 37°C prior to the coculture.

Cryopreserved TILs or TCR-transduced T cells were first rested overnight in complete AIM V (AIM V CTS medium [Life Technologies] with 5% human AB serum [Valley Biomedical, Winchester, VA] and Antibiotic–Antimycotic) supplemented with IL-2 (6000 IU/ml for TILs and 1200 IU/ml for TCR-transduced T cells). The following day, cells were washed twice to remove excess IL-2 and plated (1 × 105 cells per well) with an equal number of APCs into U-bottom 96-well plates (for subsequent ELISA and flow cytometry) or MultiScreen-IP filter plates (for ELISPOT). Cocultures were incubated overnight at 37°C and 5% CO2. Cell Stimulation Cocktail (PMA and ionomycin) (Affymetrix, San Diego, CA) was used as a positive control in 1:1000 v/v ratio.

The secretion of IFN-γ, GM-CSF, TNF-α, IL-2, and IL-4 from T cells after overnight cocultures was measured by ELISA. Briefly, coculture plates were first spun at 300 × g for 2 min at room temperature, followed by measuring cytokine concentration in the coculture supernatants using respective ELISA kits (all from Thermo Fisher Scientific, Waltham, MA). Cell pellets were resuspended in PBS with 0.5% FBS and set aside for flow cytometric analysis. ELISA plates were read on Spectramax 190 microplate spectrophotometer (Molecular Devices, Sunnyvale, CA) and analyzed using SoftMax Pro 6.2.2 software (Molecular Devices).

For all experiments, cells were stained with Abs diluted in PBS/0.5% FBS in 1:50 v/v ratio at 4°C for 30 min. The following Abs were used: CD4 (clone SK3), CD8 (clone SK1), CD134 (OX40, clone ACT35), CD137 (4-1BB, clone 4B4-1), and anti-mouse TCRβ-chain (clone H57-597) (BD Biosciences). Flow cytometric analysis was performed on FACSCanto I cell analyzer (BD Biosciences). Data were analyzed using FlowJo 10.2 software (Tree Star, Ashland, OR).

To isolate TCR sequences, a recently described single-cell approach was used, with some modifications (41). Briefly, 1 × 106 TILs were cocultured overnight with 1 × 106 EBV-B cells pulsed with HPLC-purified C-terminal binding protein 1 (CTBP1) 25-mer peptide. The following morning, stimulated T cells were sorted based on 4-1BB upregulation using the FACS Aria Cell Sorter (BD Biosciences). Sorted 4-1BB+ T cells were subjected to automated single-cell RNA-sequencing (RNA-seq) sample preparation using the Fluidigm C1 platform (Fluidigm, San Francisco, CA), following the manufacturer’s instruction. Single-cell RNA-seq was performed using Illumina MiSeq system (Illumina). The paired full-length TCRα/β sequences were identified using an in-house software.

To synthesize the identified TCR, TCRα/β-constant regions were replaced with modified mouse TCRα/β-constant regions to enhance TCR pairing and surface expression (4244). TCRα- and β-chains were linked with a furin SGSG P2A linker and then synthesized and cloned into a MSGV retroviral vector (45).

Retroviral transduction of TCR into donor T cells has been described previously (46). Briefly, on day 1, 293GP cells were plated (1 × 106 cells per well) in poly-d-lysine–coated six-well plate (Corning, Tewksbury, MA). On day 2, each well was transfected with 1.5 μg of pMSGV8-TCR and 0.75 μg of pRD114 (VSV-G) using Lipofectamine 2000 Transfection Reagent (Life Technologies). Simultaneously, ∼1–3 × 108 donor PBMCs were stimulated with 50 ng/ml anti-CD3 (eBioscience, San Diego, CA) and 1200 IU/ml IL-2 in a tissue culture flask. Where indicated, PBMCs were enriched for CD4+ T cells by depleting CD8+ T cells using anti-CD8 magnetic beads (BD Biosciences) and then processed in the same way. On day 3, retrovirus-containing supernatants from 293GP cells were harvested and spinoculated onto a RetroNectin (Takara Bio USA, Mountain View, CA)–coated six-well plate at 2000 × g for 2 h at room temperature, whereas the 293GP cells were refed with fresh media and set aside for an additional 24 h incubation. Following the removal of unbound supernatant, spinoculated plate was seeded with donor PBMCs (1 × 106 cells per well), centrifuged at 1000 × g for 10 min, and incubated overnight at 37°C. On day 4, supernatants from 293GP were reharvested and spinoculated onto a new RetroNectin-coated plate, which was used to retransduce PBMCs from the previous day following the same protocol. Transduced cells were then cultured in complete AIM V medium supplemented with 1200 IU/ml IL-2 for an additional 5 d. The TCR-transduced T cells were cryopreserved until further use. When using CD8-depleted PBMCs, pure CD4+-transduced T cells were obtained at the end of the process, as described previously (47).

Relevant HLA alleles identified from tumor WES were synthesized and cloned into pcDNA3.1 vector (GeneOracle, Santa Clara, CA). Next, COS-7 cells were plated (2.5 × 104 cells per well) in a flat-bottom 96-well plate and cotransfected the following day with combinations of individual MHC plasmids (150 ng/well each) using Lipofectamine 2000 transfection reagent (0.5 μl/well). The next day, transfected cells were pulsed with WT and mutant 25-mer peptide for 2 h, washed twice in complete RPMI, and cocultured overnight with 1 × 105 cells per well of TCR-transduced T cells. IFN-γ production was assessed by ELISA, as described above.

Supernatants from overnight TIL- or TCR-transduced donor T cell cocultures were analyzed using a multiplex sandwich immunoassay named U-PLEX (Meso Scale Diagnostics, Rockville, MD), in accordance with the manufacturer’s instructions. The assay was customized to allow simultaneous detection of IFN-γ, TNF-α, IL-2, IL-4, IL-5, IL-10, IL-13, and GM-CSF.

Tissue sections from formalin-fixed, paraffin-embedded TURBT specimens were stained with H&E and immune stained with the following Abs: CD3 (clone 2GV6), CD4 (clone SP35), CD8 (clone SP57) (Ventana, Tucson, AZ), MHC class I (clone HC-10) (kindly provided by Dr. S. Ferrone), and HLA-DR (clone TAL.1B5) (Dako, Carpinteria, CA). Staining was performed at the Laboratory of Pathology (NCI); stained sections were examined by a certified pathologist who was blinded to the results of neoantigen screening.

Statistical analyses were performed on GraphPad Prism 7.0 software (GraphPad Software, La Jolla, CA). When applicable, data were expressed as mean ± SD.

In this study, we tested TILs from five patients who had primary localized urothelial carcinoma of the bladder, including low- and high-grade NMIBC and high-grade MIBC, and who underwent stage-based treatment with TURBT ± BCG at the National Institutes of Health (NIH) Clinical Center. The size of resected tumor specimens, obtained mostly via TURBT that yielded small slices of tumors, was only several cubic millimeters for all five patients. TIL growth occurred slowly and was seen only in a fraction of cultured tumor fragments. The number of tumor-specific mutations on WES ranged between 120 and 232, which was consistent with previous reports in bladder cancer (24, 25). Patient information, tumor characteristics, and IHC results are summarized in Table I; CD8 versus CD4 composition of individual TIL cultures is shown in Supplemental Fig. 1.

Table I.
Patient and tumor characteristics
Patient IDAgeSexPrior TreatmentsTumor Procurement MethodTumor GradeMuscle InvasionMHC-Positive Tumor Cells (%)Number of Tumor-Specific MutationsTumor CD3+/CD8+/CD4+ InfiltrationNumber of TIL Cultures/Plated Tumor Fragments
Class IClass II
75 TURBT, BCG × 2 TURBT High No Neg Neg 120 0–1/0–1/0 4 of 12 
39 TURBT R1: TURBT High No 5–25% Neg 232 0/1+/0–1 7 of 12 
R2: TURBT   >50% 5–50% 1+/0–1/0–1 4 of 12 
65 TURBT TURBT High Yes >50% >5% 194 0–1/0–1/1+ 8 of 12 
64 None Bladder Diverticulectomy Low No >50% >50% 142 1+/2+/3+ 4 of 24 
76 TURBT TURBT High No 5–50% Neg 230 2–3/2–3/2–3 2 of 24 
Patient IDAgeSexPrior TreatmentsTumor Procurement MethodTumor GradeMuscle InvasionMHC-Positive Tumor Cells (%)Number of Tumor-Specific MutationsTumor CD3+/CD8+/CD4+ InfiltrationNumber of TIL Cultures/Plated Tumor Fragments
Class IClass II
75 TURBT, BCG × 2 TURBT High No Neg Neg 120 0–1/0–1/0 4 of 12 
39 TURBT R1: TURBT High No 5–25% Neg 232 0/1+/0–1 7 of 12 
R2: TURBT   >50% 5–50% 1+/0–1/0–1 4 of 12 
65 TURBT TURBT High Yes >50% >5% 194 0–1/0–1/1+ 8 of 12 
64 None Bladder Diverticulectomy Low No >50% >50% 142 1+/2+/3+ 4 of 24 
76 TURBT TURBT High No 5–50% Neg 230 2–3/2–3/2–3 2 of 24 

For tumor CD3+/CD8+/CD4+ infiltration: 0 = absent; 1+ = weak/scattered; 2+ = moderate; 3+ = strong.

ID, identification; M, male; Neg, negative; R, resection.

Patient 1, a 75-y-old man whose cancer was previously treated with TURBT and intravesical BCG at an outside institution, presented to the NIH with relapsed localized disease and underwent another TURBT. WES of the fresh tumor sample led to identification of 120 unique mutations, which were incorporated into 11 individual TMGs (Supplemental Table I). Simultaneously, four TIL cultures (fragments (F)1–4) grew out of 12 plated tumor fragments. Next, we performed overnight cocultures with TILs and autologous EBV-B cells electroporated with 11 individual TMGs and then assessed T cell reactivity by performing IFN-γ ELISA. As indicated in Fig. 1A, marked IFN-γ production was detected when F3 TILs were cocultured with TMG2. To determine which TMG2-encoded mutation was the candidate neoantigen, F3 TILs were cocultured with EBV-B cells pulsed with individual mutated 25-mer peptides encoded in TMG2. As indicated in Fig. 1B, only a mutated peptide harboring a single glutamine-to-arginine substitution in CTBP1 (Q277R) elicited IFN-γ production from F3 TILs. Moreover, when compared with its WT counterpart, HPLC-purified mutant CTBP1 elicited significantly increased production of IFN-γ, TNF-α, IL-5, IL-13, and GM-CSF and slightly increased production of IL-4 and IL-10, as measured by a multiplex assay (Fig. 1C). The increased production of IFN-γ, GM-CSF, and TNF-α was further confirmed by ELISA (Supplemental Fig. 2).

FIGURE 1.

TILs grown from Patient 1 recognized tumor-specific CTBP1Q277R mutation. (A) Four TILs (F1-4) were cocultured with autologous EBV-B cells electroporated with 11 TMGs encoding tumor-specific mutations or with sterile water alone (mock). Following an overnight incubation, IFN-γ concentration in coculture supernatants was determined by IFN-γ ELISA. (B and C) F3 TILs were cocultured with EBV-B cells pulsed overnight with individual 25-mer peptides encoded in TMG2, followed by IFN-γ ELISA (B) and with WT and mutant CTBP1 25-mer, followed by a multiplex assay for IFN-γ, TNF-α, IL-2, IL-4, IL-5, IL-10, IL-13, and GM-CSF (C). All the experiments were performed once, owing to a limited number of available TILs. Bars represent average reads from two duplicate wells. Error bars represent SD.

FIGURE 1.

TILs grown from Patient 1 recognized tumor-specific CTBP1Q277R mutation. (A) Four TILs (F1-4) were cocultured with autologous EBV-B cells electroporated with 11 TMGs encoding tumor-specific mutations or with sterile water alone (mock). Following an overnight incubation, IFN-γ concentration in coculture supernatants was determined by IFN-γ ELISA. (B and C) F3 TILs were cocultured with EBV-B cells pulsed overnight with individual 25-mer peptides encoded in TMG2, followed by IFN-γ ELISA (B) and with WT and mutant CTBP1 25-mer, followed by a multiplex assay for IFN-γ, TNF-α, IL-2, IL-4, IL-5, IL-10, IL-13, and GM-CSF (C). All the experiments were performed once, owing to a limited number of available TILs. Bars represent average reads from two duplicate wells. Error bars represent SD.

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To isolate TCRs that recognized the CTBP1Q277R epitope, F3 TILs were cocultured overnight with autologous EBV-B cells pulsed with CTBP1Q277R 25-mer peptide and then analyzed by FACS for upregulation of 4-1BB. As indicated in Fig. 2A, 3.1% of cells, all phenotypically CD4+ T lymphocytes, upregulated 4-1BB when cocultured with CTBP1 (Q277R) peptide in comparison with 0.3% in the DMSO control. These CD4+ 4-1BB+ TILs were sorted and subjected to single-cell RNA-seq analysis, which identified a single TCR sequence (Fig. 2B). This TCR was then synthesized, cloned into an MSGV plasmid, and transduced into PBMCs from two unrelated donors with >50% efficiency (Fig. 2C). The TCR-transduced T cells were then cocultured with autologous EBV-B cells pulsed with either CTBP1Q277R 25-mer peptide or the corresponding WT control, followed by assessment of IFN-γ production by ELISA. As indicated in Fig. 2D, CTBP1Q277R-TCR–transduced T cells from both donors recognized CTBP1Q277R peptide in a dose-dependent manner, whereas there was no reactivity against the WT peptide. Moreover, in a multiplex assay using CTBP1Q277R-TCR–transduced CD4+ T cells, stimulation with mutated 25-mer peptide elicited increased production of TNF-α, IL-2, IL-4, IL-5, IL-10, IL-13, and GM-CSF in comparison with the WT peptide (Fig. 2E). The increased production of GM-CSF, TNF-α, IL-2, and IL-4 was further confirmed by ELISA (Supplemental Fig. 3).

FIGURE 2.

A TCR isolated from CTBP1Q277R-reactive TILs recognized CTBP1Q277R. (A) F3 TILs were cocultured overnight with EBV-B cells pulsed with CTBP1Q277R 25-mer peptide, followed by FACS sorting based on 4-1BB upregulation. Contour plots indicate the percentage of CD4+ 4-1BB+ lymphocytes in the respective cocultures; graphs were gated on all live lymphocytes. (B) CTBP1Q277R-TCR CDR3 sequence, as identified by single-cell RNA-seq. (C) Transduction efficiencies for CTBP1Q277R-TCR, as assessed by flow cytometry for mouse TCR-β constant chain (mTCR-β) expression. Histograms depict mTCRβ staining on untransduced (shaded) and transduced (unshaded) cells from two donors; numbers (%) indicate the estimated transduction efficiency. Graphs were gated on all live lymphocytes. (D) CTBP1Q277R-TCR–transduced T cells from (C) were cocultured with autologous EBV-B cells pulsed overnight with serial dilutions of either WT or CTBP1Q277R peptide (MUT). IFN-γ concentration was measured in coculture supernatants by ELISA. A representative of two independently performed experiments is shown. (E) CTBP1Q277R-TCR–transduced CD4+ cells from the same donors were cocultured overnight with EBV-B cells stimulated with 10 μM WT or MUT peptide; concentrations of multiple cytokines in the coculture supernatants were analyzed using a multiplex assay. Data represent average reads from two duplicate coculture wells. Error bars represent SD.

FIGURE 2.

A TCR isolated from CTBP1Q277R-reactive TILs recognized CTBP1Q277R. (A) F3 TILs were cocultured overnight with EBV-B cells pulsed with CTBP1Q277R 25-mer peptide, followed by FACS sorting based on 4-1BB upregulation. Contour plots indicate the percentage of CD4+ 4-1BB+ lymphocytes in the respective cocultures; graphs were gated on all live lymphocytes. (B) CTBP1Q277R-TCR CDR3 sequence, as identified by single-cell RNA-seq. (C) Transduction efficiencies for CTBP1Q277R-TCR, as assessed by flow cytometry for mouse TCR-β constant chain (mTCR-β) expression. Histograms depict mTCRβ staining on untransduced (shaded) and transduced (unshaded) cells from two donors; numbers (%) indicate the estimated transduction efficiency. Graphs were gated on all live lymphocytes. (D) CTBP1Q277R-TCR–transduced T cells from (C) were cocultured with autologous EBV-B cells pulsed overnight with serial dilutions of either WT or CTBP1Q277R peptide (MUT). IFN-γ concentration was measured in coculture supernatants by ELISA. A representative of two independently performed experiments is shown. (E) CTBP1Q277R-TCR–transduced CD4+ cells from the same donors were cocultured overnight with EBV-B cells stimulated with 10 μM WT or MUT peptide; concentrations of multiple cytokines in the coculture supernatants were analyzed using a multiplex assay. Data represent average reads from two duplicate coculture wells. Error bars represent SD.

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To determine the minimal epitope recognized by CTBP1Q277R-TCR, TCR-transduced T cells were cocultured with autologous EBV-B cells pulsed with serial truncations of CTBP1Q277R 25-mer peptide. As indicated in Fig. 3A, the loss of amino acids delineating the 13-mer (KALARALKEGRIR) resulted in significantly decreased IFN-γ production. We then synthetized this mutated 13-mer peptide and its WT counterpart, alongside several serial truncations of each peptide, and used them in cocultures with transduced T cells. As shown in Fig. 3B, the strongest IFN-γ production was detected when T cells were cocultured with the mutated 13-mer, with no response to any of the WT peptides, suggesting that this peptide was likely the minimal epitope recognized by CTBP1Q277R-TCR.

FIGURE 3.

Determination of minimal epitope and HLA restriction element for CTBP1Q277R-TCR. (A) CTBP1Q277R-TCR–transduced T cells were cocultured with autologous EBV-B cells pulsed with serial 2-aa truncations of CTBP1Q277R 25-mer. IFN-γ concentration was determined by ELISA. Top six sequences on the y-axis represent truncations from the C terminus and the bottom six from the N terminus of CTBP1Q277R 25-mer. Grayed area highlights the Q277R mutation; underlined amino acids delineate the potential minimal epitope. (B) Transduced T cells were cocultured with autologous EBV-B cells pulsed with CTBP1Q277R 25-mer, 13-mer identified in (A), and three additional truncations of the latter (white dots). Corresponding WT peptides were used as a control (black dots). IFN-γ concentration was determined by ELISA. (C) COS-7 cells, transfected with combinations of plasmids encoding all paired MHC class II molecules identified in Patient 1, were pulsed for 2 h with WT or CTBP1Q277R (MUT) peptide and cocultured with CTBP1Q277R-TCR–transduced T cells. Results of IFN-γ ELISA are shown. For (A)–(C), a representative of two independent experiments is shown. Data represent average reads from two duplicate coculture wells. Error bars represent SD.

FIGURE 3.

Determination of minimal epitope and HLA restriction element for CTBP1Q277R-TCR. (A) CTBP1Q277R-TCR–transduced T cells were cocultured with autologous EBV-B cells pulsed with serial 2-aa truncations of CTBP1Q277R 25-mer. IFN-γ concentration was determined by ELISA. Top six sequences on the y-axis represent truncations from the C terminus and the bottom six from the N terminus of CTBP1Q277R 25-mer. Grayed area highlights the Q277R mutation; underlined amino acids delineate the potential minimal epitope. (B) Transduced T cells were cocultured with autologous EBV-B cells pulsed with CTBP1Q277R 25-mer, 13-mer identified in (A), and three additional truncations of the latter (white dots). Corresponding WT peptides were used as a control (black dots). IFN-γ concentration was determined by ELISA. (C) COS-7 cells, transfected with combinations of plasmids encoding all paired MHC class II molecules identified in Patient 1, were pulsed for 2 h with WT or CTBP1Q277R (MUT) peptide and cocultured with CTBP1Q277R-TCR–transduced T cells. Results of IFN-γ ELISA are shown. For (A)–(C), a representative of two independent experiments is shown. Data represent average reads from two duplicate coculture wells. Error bars represent SD.

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To determine the MHC class II restriction element for CTBP1Q277R-TCR, COS-7 cells were transfected with pairs of plasmids encoding the following MHC class II molecules identified from this patient’s tumor WES data: DPA1*01:03:01, DPB1*03:01:01, DPB1*04:01:01, DQA1*01:02:01, DQA1*05:01:01, DQB1*02:01:01, DQB1*06:04:01, DRB1*03:01:01, DRB1*13:02:01, DBR3*01:01:02, DRB3*03:01:01, DRB4*01:01:01. Next, transfected cells were pulsed for 2 h with WT or CTBP1Q277R 25-mer peptide, followed by an overnight coculture with CTBP1Q277R -TCR–transduced T cells. As indicated in Fig. 3C, IFN-γ production was detected only when T cells were cocultured with COS-7 cells transfected with HLA-DRA1*01:01:01 and HLA-DRB1*03:01:01, thus identifying them as the HLA restriction element for CTBP1Q277R-TCR.

Patient 2, a 39-y-old man with primary bladder cancer, had a single TURBT before presenting to the NIH with relapsed disease. Two consecutive tumor resections were performed, and TILs grew from only four out of 12 fragments obtained with the first procedure and seven out of 12 fragments obtained with the second. A total of 232 unique mutations were identified by WES, which were then incorporated into 20 individual TMGs. After a coculture with TMG-electroporated autologous DCs, two TILs from separate resections (R1F4 and R2F1) exhibited marked IFN-γ production against TMG9, TMG11, and TMG12 (Fig. 4A). However, cocultured TILs exhibited no significant 4-1BB upregulation in response to the cognate TMGs (data not shown), indicating that the frequency of reactive T cells was likely very low. Unfortunately, limited availability of samples precluded further experimentation and identification of the neoantigen-specific TCRs.

FIGURE 4.

TILs from Patient 2 recognized autologous DCs electroporated with TMG 9, 11, and 12, whereas TILs from the remaining patients did not recognize any mutations. (A) A total of 11 TILs from Patient 2 (R1F1–R1F7 from the first and R2F1–R2F4 from second tumor resection) were cocultured with autologous DCs electroporated with 20 TMGs encoding tumor-specific mutations or with sterile water alone (mock). (BD) TILs from Patient 3 (B), 4 (C), and 5 (D) were cocultured with autologous EBV-B cells that were either electroporated with TMGs encoding tumor-specific mutations (upper panels) or pulsed with peptide pools (PP) encoding the same mutations (lower panels). IFN-γ concentration was determined in coculture supernatants using IFN-γ ELISA. In (D), PBMCs transduced with MAGE-A3 TCR were cocultured with cognate EBV-B cells electroporated with MAGE-A3 RNA and used as a positive control. All the experiments were performed once, owing to a limited number of available TILs. CSC, cell stimulation mixture.

FIGURE 4.

TILs from Patient 2 recognized autologous DCs electroporated with TMG 9, 11, and 12, whereas TILs from the remaining patients did not recognize any mutations. (A) A total of 11 TILs from Patient 2 (R1F1–R1F7 from the first and R2F1–R2F4 from second tumor resection) were cocultured with autologous DCs electroporated with 20 TMGs encoding tumor-specific mutations or with sterile water alone (mock). (BD) TILs from Patient 3 (B), 4 (C), and 5 (D) were cocultured with autologous EBV-B cells that were either electroporated with TMGs encoding tumor-specific mutations (upper panels) or pulsed with peptide pools (PP) encoding the same mutations (lower panels). IFN-γ concentration was determined in coculture supernatants using IFN-γ ELISA. In (D), PBMCs transduced with MAGE-A3 TCR were cocultured with cognate EBV-B cells electroporated with MAGE-A3 RNA and used as a positive control. All the experiments were performed once, owing to a limited number of available TILs. CSC, cell stimulation mixture.

Close modal

TILs from the remaining three patients exhibited no significant IFN-γ production, following an overnight coculture with neoantigen-loaded autologous EBV-B cells. Briefly, for Patient 3, eight TIL cultures grew from 12 tumor fragments, and none demonstrated specific reactivity against EBV-B cells electroporated with TMGs (n = 17) or pulsed with mutated peptide pools (n = 17) encoding 194 tumor-specific mutations (Fig. 4B). For Patient 4, four TIL cultures grew from 24 tumor fragments; no specific reactivity was observed against any of the TMGs (n = 13) or mutated peptide pools (n = 12), representing 142 mutations (Fig. 4C). Finally, for Patient 5, two TIL cultures grew from 24 tumor fragments; no specific reactivity was seen against any of the TMGs (n = 19) or mutated peptide pools (n = 21), encoding a total of 230 cancer mutations (Fig. 4D).

In this study, we grew TILs from five patients with primary localized urothelial carcinoma of the bladder, including low- and high-grade NMIBC and high-grade MIBC, and screened them for recognition of tumor-specific mutations. In our previous experience with screening TILs from patients with metastatic melanoma and gastrointestinal cancers, the majority of hits could be obtained from both screening against the mutated peptides and the TMGs. The peptide approach, however, showed a slight bias toward detecting CD4+ TIL responses, whereas the TMG approach slightly biased the detection toward the CD8+ TILs (M.R. Parkhurst, P.F. Robbins, E. Tran, T.D. Prickett, J.J. Gartner, L. Jia, G. Ivey, Y.F. Li, M. El-Gamil, A. Lalani, J.S. Crystal, A. Sachs, E. Groh, S. Ray, L.T. Ngo, S. Kivitz, A. Pasetto, R. Yossef, F. Lowery, S.L. Goff, W. Lo, G. Cafri, D. Deniger, P. Malekzadeh, M. Ahmadzadeh, J.R. Wunderlich, R.P. Somerville, and S.A. Rosenberg, unpublished observations). To avoid such biases in this study, we used both approaches when screening TILs whenever we had a sufficient number of cells available.

We found that a CD4+ subset of TILs from Patient 1, who had high-grade NMIBC previously treated with BCG, specifically recognized a point mutation in CTBP1. Furthermore, we isolated an HLA-DRB1*03:01–restricted, CTBP1Q277R-reactive TCR and confirmed that it could recognize the mutant but not the WT CTBP1 peptide. CTBP1 is a transcriptional corepressor that plays a role in oncogenesis through suppression of genes that regulate cell cycle progression, DNA repair, apoptosis, and intercellular adhesion (48). Although CTBP1 overexpression has previously been detected in several cancers, oncogenic repercussions of its mutations remain largely unknown. In addition, CTBP1 mutation at aa 277 has not been reported in the Catalogue of Somatic Mutations in Cancer (COSMIC) database and thus appears to be unique to Patient 1.

Although ICIs have previously been shown to elicit durable regressions of metastatic bladder tumors, identification of specific neoantigens has been lacking. Our study, conducted in patients with primary disease, shows that neoantigen-reactive TILs can be isolated from a bladder tumor specimen, a finding consistent with the previous evidence that tumors express unique Ags that can be recognized by T cells (49). Although a previous study found that circulating CD8+ T cells from a patient with primary bladder cancer recognized a tumor-specific point mutation in LPGAT1 (also known as KIAA0205), a ubiquitously expressed enzyme involved in membrane phospholipid metabolism, this reactivity arose from a circulating T cell clone after in vitro stimulation with irradiated tumor cells (50, 51). Thus, this T cell clone might not necessarily represent T cells residing within the tumor.

Several technical challenges have limited our ability to discover additional neoantigens. The starting amount of tumor tissue was very modest and had been immersed in urine prior to excision. Tumor infiltration by T cells, as assessed by IHC for CD3, CD8, and CD4, was, overall, weak (Table I) and could not readily explain the success rate in raising TIL cultures, likely because of the heterogeneity between the parts of primary tumors used for IHC and TIL culturing. In contrast to our previous studies of melanoma and gastrointestinal tumors, TIL growth was observed in only a fraction of plated tumor fragments (Table I), which further limited the number and repertoire of cells available for testing. TIL growth occurred slowly, raising concerns that nonspecific, bystander T cells may have outgrown the exhausted, neoantigen-reactive T cells in the long-term cultures (52). Lastly, as in the case of Patient 2, whose TILs exhibited significant IFN-γ production in response to three TMGs, the frequency of the potentially reactive T cells was likely too low to allow the detection by flow cytometry based on 4-1BB upregulation, thereby precluding the possibility of further enrichment and testing of these T cells.

In addition to these limitations, tumor-intrinsic properties could have reduced our ability to identify neoantigen-reactive TILs in bladder cancer. The heterogeneity of primary bladder tumors, which could be more pronounced than in metastases, could have prevented the identification of TILs, recognizing mutations unique to the parts of the tumor that were not captured by WES analysis of a limited tumor fragment. Additionally, several previous studies reported a high prevalence of partial or complete MHC class I molecule loss from primary bladder tumors (5357), which could restrict the presentation of tumor neoantigens.

Tumor MHC expression in our study cohort was variable, as was the T cell infiltration (Table I). The finding of a CTBP1Q277R-reactive CD4+ T cell clone from a tumor with seemingly undetectable MHC class II expression and sparse T cell infiltration highlights how tumor heterogeneity, well described in primary bladder tumors (58), can limit the use of a single-tumor biopsy in defining the biomarkers that could predict the sensitivity to immunotherapies. Accordingly, our finding could potentially help explain the lack of consistency in correlation between clinical benefits of immunotherapy and the tumor immune features in some circumstances.

It has been shown that CD4+ T cells can induce significant tumor regressions in cancer patients by targeting MHC class II–restricted cancer Ags (36, 59, 60). One important question is whether the tumor cells without detectable MHC class II expression can still be eliminated by the tumor Ag–reactive CD4+ T cells. Although previous work in a murine melanoma model suggested that tumor regressions occur following IFN-γ–mediated in vivo upregulation of MHC class II molecules on tumor cells (61, 62), further research is needed to test whether this applies to human tumors. Alternatively, CD4+ T cells could recognize tumor Ags presented by APCs and then prime the immune responses against additional tumor Ags, some of which could be MHC class I restricted (a phenomenon called “Ag spreading” [63]). Again, further evidence is necessary to support this hypothesis in human cancer.

Because of its small size and the aforementioned technical limitations, our study cannot be used to accurately determine whether the neoantigen-specific T cells are significantly represented in the population of patients with bladder cancer and whether they truly drive antitumor immune responses. To better address these questions, future studies would have to test a larger number of patients, especially patients with more advanced/metastatic disease, from which larger tumor specimens could be obtained. Alternatively, PD-1+ T cells from the peripheral blood could be screened in an attempt to identify cancer neoantigens, as previously reported in patients with metastatic melanoma (64). Further research will also be needed to determine the dynamics of neoantigen responses in patients with metastatic bladder cancer and to explore the potential differences between those who responded to ICIs and those who were resistant.

In conclusion, we demonstrated that a cancer-specific CTBP1Q277R mutation elicited a TCR-mediated, MHC class II–restricted recognition by endogenous TILs. This proof-of-principle study provides preliminary evidence that neoantigen-reactive TILs can be isolated from bladder tumors, which in turn may offer a mechanistic insight into the effectiveness of immune checkpoint inhibition in bladder cancer treatment. Furthermore, our findings provide a preliminary rationale for future use of adoptively transferred neoantigen-reactive T cells in the treatment of patients with bladder cancer. This could be accomplished either by expanding and administering TILs that specifically recognized cancer neoantigens, as previously reported by our group, or by isolating the neoantigen-reactive TCRs and transferring them into autologous PBMCs, which would then be infused back to the patients (32, 65).

We thank John R. Wunderlich, Chyi-Chia Richard Lee, Li Jia, Kenichi Hanada, and James C. Yang for suggestions and technical support. Single-cell RNA-seq was conducted at the Center for Cancer Research Genomics Core at the NCI. This work used the computational resources of the NIH High Performance Computing Biowulf cluster (http://hpc.nih.gov).

This work was supported by the Intramural Research Program of the National Cancer Institute.

The online version of this article contains supplemental material.

Abbreviations used in this article:

BCG

Bacillus Calmette–Guérin

CTBP1

C-terminal binding protein 1

DC

dendritic cell

EBV-B

EBV-transformed B

F

fragment

ICI

immune checkpoint inhibitor

MIBC

muscle-invasive bladder cancer

NCI

National Cancer Institute

NIH

National Institutes of Health

NMIBC

non-MIBC

PD-1

programmed cell death protein 1

RNA-seq

RNA-sequencing

TIL

tumor-infiltrating lymphocyte

TMG

tandem minigene

TURBT

transurethral resection of the bladder tumor

WES

whole-exome sequencing

WT

wild-type.

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The authors have no financial conflicts of interest.

Supplementary data