Literature DB >> 23250361

A Promising Vector for TCR Gene Therapy: Differential Effect of siRNA, 2A Peptide, and Disulfide Bond on the Introduced TCR Expression.

Sachiko Okamoto1, Yasunori Amaishi, Yumi Goto, Hiroaki Ikeda, Hiroshi Fujiwara, Kiyotaka Kuzushima, Masaki Yasukawa, Hiroshi Shiku, Junichi Mineno.   

Abstract

Adoptive immunotherapy using TCR gene-modified T-lymphocytes is an attractive strategy for targeting malignancies. However, TCR mispairings between endogenous and introduced TCR chains are a major concern, as they may induce mixed TCRs with unknown specificities and may reduce the expression of therapeutic TCRs. To overcome these problems, we have recently established a novel retroviral siTCR vector encoding small-interfering RNAs (siRNAs) to knockdown endogenous TCR genes for the efficient expression of therapeutic TCRs. In this study, to improve the efficacy of siTCR vectors, we developed 2A peptide-based siTCR vectors that could increase the expression levels of transduced TCRs compared with internal promoter-based siTCR vectors. We also evaluated the efficacy of an siTCR strategy and the addition of a new interchain disulfide bond created by cysteine modification. We found that the effect of the cysteine modification depended on TCR variations, while the siTCR strategy improved the expression of all TCRs tested. Furthermore, the combined effect of the siTCR and cysteine modification strategies was highly significant for certain TCRs. Therefore, our novel siTCR technology, in isolation or in combination with another strategy, may open the door to effective immunotherapy for cancer patients.Molecular Therapy - Nucleic Acids (2012) 1, e63. doi:10.1038/mtna.2012.52; published online 18 December 2012.

Entities:  

Year:  2012        PMID: 23250361      PMCID: PMC3528300          DOI: 10.1038/mtna.2012.52

Source DB:  PubMed          Journal:  Mol Ther Nucleic Acids        ISSN: 2162-2531            Impact factor:   10.183


Introduction

The adoptive transfer of tumor-reactive T cells has been shown to mediate the regression of tumors.[1] A limitation of this treatment is the difficulty of isolating and expanding pre-existing, highly tumor-reactive lymphocytes from patients. Adoptive immunotherapy using TCR gene-modified T cells is a promising strategy for producing tumor antigen-specific T cells by converting the abundant numbers of existing primary lymphocytes. The feasibility of TCR gene therapy was demonstrated in a recent report on clinical trials with TCR gene-transferred T cells. However, further technical improvements may be required to achieve excellent clinical responses and reduce potential dangers.[2,3,4,5,6,7,8,9] The inefficient surface expression of transduced TCRs has been reported to directly affect the efficacy of TCR gene therapy. The existence of endogenous TCRs is one of the major reasons for inefficient expression of the introduced TCRs. Given that the surface expression of TCRs requires assembly with CD3 subunits, which are limiting, endogenous and exogenous TCRs may be competing for CD3 subunits.[10] Moreover, exogenous TCRs can also join with endogenous TCRs, thus decreasing the surface expression of exogenous TCRαβ chains. In addition to the decrease in introduced TCR expression, mixed TCR dimers with unknown specificities generated by TCR mispairing can also cause autoimmunity, thus adversely affecting the safety of TCR gene therapy.[11,12] Another safety issue in TCR gene therapy is the copy number of the integrated vector. Although the expression level of the transgenes can be enhanced by increasing the vector copy number,[13] a low copy number is necessary for reducing the risk of promoting the proto-oncogene activation, tumor-suppressor gene activation, and chromosomal instability caused by insertional mutagenesis.[14,15,16] Thus, a strategy for achieving a high expression of introduced TCRs without TCR mispairing and with relatively low vector copy numbers would be ideal. A number of approaches have been reported to minimize TCR mispairing, including replacing the human TCR constant region sequences with murine sequences, the introduction of cysteine residues to mediate the interchain disulphide bridge, and the fusion of the TCR chains to human CD3ζ.[17,18,19,20,21,22] We recently developed a novel system that can highly express therapeutic TCRs while suppressing the expression of endogenous TCRs by using siTCR retroviral vector encoding antigen-specific TCRs and small-interfering RNAs (siRNAs) against endogenous TCRs. The T cells transduced with siTCR retroviral vector encoding HLA-A*2402-restricted MAGE-A4- or WT1-specific TCRs showed an enhanced expression of introduced TCRs and an enhanced biological function at relatively low vector numbers in vitro and in a mouse model.[23,24] To improve the efficacy of the siTCR vector system, more efficient expression of transduced TCRs and siRNAs is essential. Several strategies have been employed to construct bicistronic vectors, including an internal promoter, an internal ribosomal entry site,[4] and a self-cleaving 2A peptide. Recently, 2A peptides have been widely adopted for TCR gene therapy because of their comparative stoichiometric expression of both chains.[2,3,6,25,26] In this study, we attempted to develop the ideal 2A peptide-based siTCR retroviral vector that can achieve a high expression of therapeutic TCRs without a mixed TCR dimer formation at limited vector copy numbers, thus providing an efficient and safe therapy.

Results

Retroviral vector using 2A peptides facilitates the expression of transgenes but is not sufficient for preventing TCR mispairing

For our first-generation siTCR retroviral vector, we used an internal promoter to express two TCR genes.[23] To explore more efficient siTCR retroviral vectors, an increase in the TCR expression per vector copy would be desirable. We therefore evaluated the expression level of TCR genes by bicistronic vectors using the 2A peptide and an internal promoter. We compared retroviral vectors encoding MAGE-A4–specific TCRs using pMS[23] or pMS3 retroviral vector backbones. pMS vector is a derivative of pMT which is a minimum-sized murine leukemia virus-based vector that contains no viral-coding sequences. The 3′-long terminal repeat (LTR) of pMT was replaced with the murine stem cell virus LTR to generate pMS vector. pMS3 vector was constructed by inserting the portion of intron and splice acceptor region from the human EF1-α from pMIN5 vector into pMS vector, which can increase the transgene expression via RNA splicing,[27,28,29,30] and the surface expression levels of transduced TCR were higher in the peripheral blood mononuclear cells (PBMCs) transduced with the MS3 vector compared with the MS vector (Supplementary Figure S1). To accurately compare the efficacy of the retroviral vectors, we evaluated it based on the proviral copy number in transduced PBMCs to normalize the titer of each vector. We therefore adopted the MS3 backbone for the WT1- and human telomerase reverse transcriptase (hTERT)-specific TCRs (). The RNA expression levels of all TCRs tested in this study were higher in the PBMCs transduced with vectors using the T2A peptide than those transduced with internal promoter-typed vectors (data not shown). The expression of WT1-specific TCRs in the PBMCs transduced with MS3-a2Ab was almost twice that of those transduced with MS3-aPb at the same proviral copy number (), and MS3-a2Ab was able to yield higher numbers of tetramer-positive cells at relatively lower proviral copy numbers than MS3-aPb and MS3-aPb-siTCR were (). Although the expression levels of TCR Vβ2 chain which is utilized by the hTERT-specific TCR were twice as high in the PBMCs transduced with the MS3-a2Ab vector as in those transduced with MS3-aPb at equivalent proviral copy numbers, the increased TCR expression using the T2A peptide by itself could not improve the hTERT-specific TCRαβ heterodimer expression on the cell surface in the MS3-a2Ab–transduced cells. The MS3-aPb-siTCR vector was able to achieve a higher expression of therapeutic TCRs than the MS3-aPb and MS3-a2Ab vectors were (). Increasing the expression level of the transduced TCRs using the 2A peptide was effective but not sufficient for efficient surface expression of the transduced TCRs without TCR mispairing.

Development of efficient siTCR retroviral vectors using the 2A peptide

In an attempt to develop more efficient siTCR retroviral vectors for TCR gene therapy, we constructed several retroviral vectors encoding WT1-specific TCRs using the T2A peptide and siRNAs to knockdown endogenous TCRs (). Compared with the first-generation siTCR retroviral vector (MS3-aPb-siTCR; PM11-w in previous report),[23] all siTCR vectors using the T2A peptide yielded a higher surface expression of WT1-specific TCRs at equivalent proviral copy numbers () and showed a higher percentage and expression level at lower proviral copy numbers, especially in Splice-a2Ab-siTCR–transduced T cells, when compared with the internal promoter-based siTCR vector MS3-aPb-siTCR (). To evaluate the knockdown efficiencies of endogenous TCRs and the expression level of ectopic TCR RNA, endogenous and transduced codon-optimized TCR RNA expression levels were quantified in bulk PBMCs transduced with each retroviral vector, with the comparable proviral copy numbers shown in . All siTCR vectors were able to reduce the expression of endogenous TCRs at 40–50% of the mock-transduced PBMCs, even the bulk-transduced PBMCs containing nontransduced cells were used for analysis (, left). However, the RNA expression levels of the ectopic TCRs in the PBMCs transduced with MS3-aPb-siTCR, MS3-loop-a2Ab-siTCR, and MS3-a2Ab-loop-siTCR were lower than those in the Splice-a2Ab-siTCR vector (, right). The Splice-a2Ab-siTCR vector, one of the newly constructed siTCR vectors, had a siRNA expression unit inserted between the splice donor and the intron and splice acceptor region from the human EF1-α and expressed siRNAs by RNA splicing without lowering the RNA expression of ectopic TCRs. This vector was able to achieve the highest surface expression of WT1-specific TCRs, in terms of percentage and mean fluorescence intensity (MFI) at relatively low proviral copy numbers (). To elucidate the knockdown efficiency of endogenous TCRs, we have compared the expression level of endogenous TCRs in tetramer-positive cells separated from bulk-transduced PBMCs with WT1- or MAGE-A4–specific TCR-expressing MS3-a2Ab or Splice-a2Ab-siTCR vectors with the comparable proviral copy numbers shown in . Even we have analyzed the PBMCs with very low proviral copy number, the expression of endogenous TCRα and β in the Splice-a2Ab–transduced T cells were reduced at 30–45% of the MS3-a2Ab–transduced T cells (). We then tested whether the order of the TCRα and β genes linked by the 2A peptide could affect the surface expression of ectopic TCRs. As shown in , pMS3-a2Ab, pMS3-b2Aa, pSplice-a2Ab-siTCR, and pSplice-b2Aa-siTCR retroviral vectors were constructed to express WT1-, MAGE-A4-, and hTERT-specific TCRs. At comparable vector copy numbers, the PBMCs transduced with MS3-b2Aa and Splice-b2Aa-siTCR showed a higher percentage and MFI than did the cells transduced with MS3-a2Ab and Splice-a2Ab-siTCR, respectively, for all TCRs tested (). The Splice-a2Ab-siTCR and Splice-b2Aa-siTCR retroviral vectors achieved more efficient expression of ectopic TCRs than did the MS3-a2Ab and MS3-b2Aa vectors, respectively, for all TCRs tested, thus demonstrating the usability of the siTCR system for efficient TCR expression (). Therefore, the Splice-b2Aa-siTCR retroviral vector was the most suitable vector for achieving a higher surface expression of ectopic TCRs.

Cysteine modification improved the expression of WT1-, hTERT-specific TCRs but not the expression of MAGE-A4–specific TCRs, while the siTCR vector exerted global effects

To compare the efficacy of siTCR technology with other strategies for reducing TCR mispairing, we evaluated the efficacy of adding a new interchain disulfide bond created by cysteine modifications.[17,21] Using mutagenesis, we modified residue 48 of the Cα region from Thr to Cys and residue 57 of the Cβ region from Ser to Cys in the pMS3-a2Ab, pMS3-b2Aa, pSplice-a2Ab-siTCR, and pSplice-b2Aa-siTCR to construct the retroviral vectors encoding the WT1-, MAGE-A4-, and hTERT-specific TCRs containing additional cysteine residues. We then used the vectors to transduce the PBMCs. We performed tetramer staining and proviral copy number analysis and compared the PBMCs with equivalent proviral copy numbers and determined that the additional disulfide bond improved the pairing of the transduced TCRαβ chains and resulted in a more efficient expression of the WT1- and hTERT-specific TCRs in comparison with the unmodified TCRs transduced with both MS3 and Splice-siTCR vector constructs. In comparison, cysteine modification of the MAGE-A4–specific TCRs did not improve the cell surface expression of the introduced TCRs (). On the contrary, the siTCR vectors improved the expression of all TCRs tested in this study ( and ) and the expression of more than five other TCRs (data not shown) compared with the control vectors without siRNA expression. Furthermore, the combination of cysteine modification and siTCR technology yielded the most efficient expression of WT1- and hTERT-specific TCRs, showing the importance of eliminating endogenous TCRs for the efficient expression of introduced TCRs and not just for enhancing correct pairing between the transduced TCRαβ chains ().

siTCR technology reduced the formation of mixed TCRs and improved the reactivity

To clearly demonstrate the reduction in TCR mispairing that results from siTCR technology combined with cysteine modification, we selected hTERT-specific TCRs that tend to be mispaired with endogenous TCRs more often than with MAGE-A4– or WT1-specific TCRs. Gene-modified PBMCs with hTERT-specific TCR-expressing vectors were triple-stained with CD8 Ab, Vβ2 Ab, and hTERT tetramers. When we compared transduced T cells with equivalent proviral copy numbers, almost 83, 63, and 50% of the Vβ2-positive cells among CD8-positive cells were tetramer-negative in the MS3-a2Ab-, Splice-a2Ab-siTCR, and Splice-a2Ab-siTCR-Cys–transduced T cells, respectively. Correspondingly, the siTCR technology reduced the proportion of tetramer-negative cells from ~59 to 38% in the MS3-b2Aa and Splice-b2Aa-siTCR–transduced T cells, and the combination with cysteine modification showed a further reduction of mispairing to ~22% in the Splice-b2Aa-siTCR-Cys–transduced T cells. When we analyzed the transduced T cells from other donor with higher proviral copy numbers, almost 53, 29, and 12% of the Vβ2-positive cells among CD8-positive cells were tetramer-negative in the MS3-b2Aa-, Splice-b2Aa-siTCR, and Splice-b2Aa-siTCR-Cys–transduced T cells, respectively (). These results demonstrated that the siTCR technology reduced TCR mispairing to some extent and that the combination of siTCR with cysteine modification showed superior effects in reducing the formation of mixed TCRs. We then performed intracellular cytokine staining using MAGE-A4– and WT1-specific TCR gene-modified T cells stimulated with MAGE-A4 or WT1 peptide-pulsed T2A24 cells. The percentage of interferon-γ (IFNγ) or tumor necrosis factor-α (TNFα)-positive cells and the MFI of the PE-IFNγ or APC-TNFα were plotted according to the proviral copy numbers (). In the case of MAGE-A4–specific TCR-transduced T cells, MS3-b2Aa showed a equivalent proportion of PE-IFNγ- and TNFα-secreting cells to that of Splice-b2Aa-siTCR and Splice-b2Aa-siTCR-Cys, the Splice-b2Aa-siTCR and Splice-b2Aa-siTCR-Cys–transduced T cells showed a higher MFI of APC-TNFα than did MS3-b2Aa, which was statistically significant (). Similar results were obtained with WT1-specific TCR gene-modified T cells, although the proportion of IFNγ-secreted cells was comparable, the significant difference was observed in the MFI of the PE-IFNγ of the Splice-a2Ab-siTCR-Cys–transduced T cells compared with that of MS3-a2Ab. Although the difference was not as significant, if we focused on the T cells with higher proviral copy number, Splice-a2Ab-siTCR and Splice- a2Ab-siTCR-Cys–transduced T cells showed higher amounts of APC-TNFα than MS3-a2Ab did, demonstrating the superiority of TCR cells modified by siTCR vectors in terms of biological activity ().

The stability of ectopic TCR expression in siTCR-transduced T cells and siTCR-retrovirus producer cell lines

To confirm the long-term expression of introduced TCRs, the bulk PBMCs transduced with WT1-, MAGE-A4–, hTERT-specific TCR-expressing Splice-b2Aa-siTCR vectors were cultured in vitro through day 35. The percentage of tetramer-positive cells per proviral copy number was sustained through day 35, showing the stable expression of ectopic TCRs for more than 1 month (). We have also evaluated the functional stability of the producer cells using the cloned PG13 cells transduced with Splice-b2Aa-siTCR vectors expressing WT1-specific TCR. The two cloned producer cell lines were passaged 10 times, the cells at 5 and 10 times passage were used to produce GaLV-pseudotyped retroviral vectors and proviral genome stability assay. The viruses at passage 10 showed higher percentage of tetramer-positive cells than the viruses at passage 5 with donor A, however, the opposite data were obtained with donor B, indicating the retroviruses at passage 10 sustained the functional activity (). Furthermore, the proviral genome of the Splice-b2Aa-siTCR retroviral vector in cloned PG13 producer cell lines were stable at passage 10, showing the stability of producer cell lines of the siTCR vectors.

Discussion

In our previous study, we developed a novel siTCR retroviral vector for TCR gene therapy. This vector can express both siRNAs to silence endogenous TCRs and a codon-optimized, siRNA-resistant tumor antigen-specific TCR simultaneously. T cells transduced with these novel siTCR retroviral vectors could efficiently express the introduced TCR while reducing the expression of the endogenous TCR and enhancing the antigen-specific lysis of target cells at relatively low proviral copy numbers. We also demonstrated the remarkable advantages of TCR gene therapy using the siTCR retroviral vector in terms of enhancing the anti-leukemia effect in a mouse model.[23,24] In gene therapy, retroviral vectors are the most commonly used gene transfer system for the stable transduction of various target cells.[31,32,33] The expression level of the transgenes can be enhanced by increasing the integrated vector copy number in the transduced cells. However, it is desirable to limit the vector copy numbers as much as possible, as this may reduce the risk of insertional mutagenesis caused by random genome insertion, even when using mature T cells instead of stem cells for safe TCR gene therapy. In an effort to improve the efficacy of TCR gene therapy using the siTCR retroviral vector, it is necessary to choose the best vector construct to achieve a higher expression level of transduced TCRs using the feasible strategy of expressing multiple genes in a single vector construct. Therefore, evaluating the efficacy of each retroviral vector with different viral titers using a precise evaluation method is indispensable for determining the most suitable and safe retroviral vector construct. In general, the efficacy of a vector construct is based on the marker genes' expression level (which may also be influenced by vector constructs) and by the retroviral vector titer evaluated with other cells that cannot reflect the accurate transduction efficiency in the PBMCs. In this study, as in our previous study, we adopted an evaluation system based on the proviral copy number of the transduced PBMCs, reflecting the actual retroviral titer to precisely evaluate the usefulness and safety of each vector.[23] To increase the expression of TCRs, we first developed the retroviral vector backbone pMS3, which can achieve a higher expression of transgenes at a lower vector copy number than pMS can, and demonstrated the increase in MAGE-A4–specific TCR expression on the cell surface (Supplementary Figure S1). Among the strategies for expressing multiple genes from a single vector, internal ribosomal entry site and an additional internal promoter is likely to produce differing amounts of the encoded proteins. Therefore, the 2A peptide has been widely adopted for TCR gene therapy because of its comparatively stoichiometric expression of both TCRα and β chains. The 2A peptide allows multiple proteins to be encoded as a single polyprotein and dissociates into each protein through a mechanism of ribosomal skipping. We demonstrated that by using the T2A peptide we could increase the RNA expression level of introduced TCRs (data not shown), resulting in the increased surface expression of WT1-specific TCRs. However, in the case of hTERT-specific TCRs, there was only a slight increase in the surface expression of ectopic TCRs; even the RNA expression levels and surface expression of the introduced TCRβ chain were increased significantly. In contrast and in spite of the lower expression level of RNA and the specific TCRβ chain, MS3-aPb-siTCR–transduced T cells were able to achieve much higher surface expression of ectopic TCRs when compared with vectors without siRNA expression (). Our results clearly show the importance and advantage of the elimination of endogenous TCRs for efficient surface expression of ectopic TCRs using the siTCR technology. In our previous study, which explored the best siTCR vector construct using an internal promoter, we generated many constructs that expressed siRNAs via short hairpin RNA transcription driven by pol II promoters and constructs expressing pri-microRNA (miRNA) structures based on human miRNA clustered on the human genome and transcribed as a single transcriptional unit.[34,35] After screening a variety of vector constructs that simultaneously expressed therapeutic TCRα and β chains and two siRNAs to silence endogenous TCRα and β, the construct expressing siRNAs using miRNA cluster sequences was found to be the most effective vector for expressing ectopic TCR in T cells (PM11 in the previous report).[23] Furthermore, we modified this construct to produce two pairs of siRNAs against each TCRα and β (PM11-w in the previous report),[23] and we demonstrated a more efficient expression of the TCRs on the cell surface with a low proviral copy number with this vector construct. To explore the second generation siTCR retroviral vector with increased expression of TCRs using the 2A peptide, we adopted a siRNA expression system using miRNA cluster sequences, just as we had used previously.[23] We compared several siTCR vector constructs expressing WT1-specific TCRs, although all siTCR vectors using the T2A peptide were able to achieve a higher ectopic TCR expression than the internal promoter type MS3-aPb-siTCR. Insertion of the siRNA expression unit in the upstream or downstream of TCR genes linked by the 2A peptide lowered the RNA expression of TCR chains. We succeeded in developing splice-typed siTCR retroviral vectors in which the siRNA expression unit was inserted upstream of the portion of intron and splice acceptor region from the human EF1-α (pSplice-siTCR), expressing pri-miRNA-like siRNA cluster sequences by RNA splicing between the splice donor and splice acceptor, processed into stem-loop form short hairpin RNA, and finally cleaved in the cytoplasm to produce siRNAs without a reduction in the therapeutic TCR RNA expression (). We also demonstrated the superiority in ectopic TCR expression of Splice-siTCR vectors using MAGE-A4– and hTERT-specific TCRs (). Although the inclusion of the siRNA expression unit lowered the viral titers at some extent, Splice-siTCR retroviral vectors exerted the powerful effects. Another notable finding in our present study was the influence of the order of TCRα and β genes connecting the 2A peptide on the cell surface TCR expression. A potential disadvantage in the use of 2A peptides is the residual amino acids left on the C terminus of the first protein, which may affect the activity and expression of the protein and may cause an immune response to the transduced cells. Although several groups have reported the TCR gene transfer using the 2A peptide, the effect of the residual amino acids on the expression and function of ectopic TCRs has not been fully investigated. We have demonstrated that “b2Aa” was always superior to “a2Ab” in the specific TCR expression on the cell surface with all TCRs tested in this study () and with six other distinct TCRs (data not shown), indicating that the residual amino acids on the C terminus of TCRα chain affect the expression of introduced TCRs. We have also evaluated the effect of residual amino acids on the C terminus of TCRα and β chains using TCRα- or TCRβ-expressing retroviral vectors with or without insertion of 2A peptide sequences between CDS and stop codon, and found the residual amino acids decreased the RNA and protein expression of both TCRα and β chains, however, the expression of TCRα seemed to be lowered more than that of TCRβ (data not shown). Although the mechanism of the difference in TCR expression by the order of TCRs was not clear, the residual amino acids on the C terminus of TCRα chain affect the expression of introduced TCRs more than that of TCRβ chain (). In TCR gene-modified T cells, the expression of therapeutic TCR on the cell surface involves two steps, the formation of the TCRαβ heterodimer and the association of CD3 molecules. As we have demonstrated with the universal effect of the siTCR technology without the dependency of TCR variations, the silencing of endogenous TCR could improve the correct pairing of transduced TCRαβ heterodimers by reducing the formation of mixed TCRs in the first step and facilitate the formation of therapeutic TCRs-CD3 complexes by reducing endogenous TCR dimers and mixed TCR dimers in the second step, regardless of TCR variation. In contrast, the addition of a disulfide bond by cysteine modification can improve the correct TCR pairing, resulting in the reduced formation of mixed TCRs in the first step. It cannot, however, improve the formation of TCR-CD3 complexes in the second step, and therefore the cysteine modification may have little effect on the “strong” TCR dimers in the first step or the “weak” TCR dimers in the second step. As we have shown in this study, the combination of the siTCR technology and cysteine modification with different sites of action worked exceedingly well for improving ectopic TCR expression with WT1- and hTERT-specific TCRs (). Thus, the combination of several strategies to reduce TCR mispairing may be a powerful tool for TCR gene therapy. In summary, we demonstrated the feasibility of our novel siTCR technology for TCR gene therapy with its universal effects without the dependency of TCR variations, enhancing the surface expression of therapeutic TCRs at low proviral copy numbers, which may reduce the risk of mutagenesis and TCR mispairing, which in turn may cause the risk of autoimmunity. This novel TCR gene therapy approach using siTCR retroviral vectors may be a promising technique in terms of efficacy and safety for patients with malignancies and/or viral infections.

Materials and Methods

Cell lines and PBMCs. The HEK293T and PG13 cell lines were cultured in Dulbecco's modified Eagle's medium (Sigma-Aldrich, St Louis, MO) and supplemented with 10% fetal bovine serum, penicillin (100 U/ml), and streptomycin (100 mg/ml). The T2A24[36] cell lines were maintained in RPMI1640 (Sigma-Aldrich) with 10% fetal bovine serum, penicillin (100 U/ml), and streptomycin (100 µg/ml). The study was approved by the Ethics Committee of Takara Bio (Shiga, Japan). The PBMCs were isolated from healthy donors (who gave their informed consent) by leukapheresis, followed by Ficoll-Isopaque density centrifugation. The PBMCs were cultured in GT-T503 (Takara Bio) and supplemented with 1% autologous plasma, 0.2% HSA, 2.5 mg/ml fangizon (Bristol-Myers Squibb, New York, NY), and 600 IU/ml interleukin-2. Construction of TCR gene expression retroviral vectors. The HLA-A*2402-restricted MAGE-A4143-151–specific TCRα and β genes were cloned from CD8+ CTL clone 2-28,[8,22,36] and the HLA-A*2402-restricted WT1235-243–specific TCRα and β genes were cloned from CD8+ CTL clones TAK-1, as reported previously.[37,38,39] The HLA-A*2402-restricted hTERT461-469–specific TCRα and β genes were cloned from CD8+ CTL clones[40] as described previously,[8] and TCRα and β were typed as TRAV29DV5/TRAJ34/TRAC and TRBV20-1/TRBJ2-1/TRBC2. The MAGE-A4–specific TCRα and β cDNA sequences were fully codon-modified by GeneArt (Regensburg, Germany), and only the C region of the WT1- and hTERT-specific TCRα and β genes was codon-optimized to escape interference from siRNAs. We used the pMS or pMS3 retroviral vector backbones to express TCRs, pMS-aPb and pMS3-aPb retroviral vectors containing both codon-optimized TCRα and β, while the murine stem cell virus LTR drove the expression of the TCRα gene, and the mouse phosphoglycerate kinase promoter drove the expression of the TCRβ gene (Supplementary Figure S1a, ). The retroviral vectors pMS-a2Ab and pMS3-a2Ab were constructed using InFusion cDNA cloning technology (Clontech, Mountain View, CA) with the following configuration: TCRα chain, SGSG-linker peptide, T2A peptide, and TCRβ chain (Supplementary Figure S1a, ). For siTCR retroviral vectors, the siRNA expression unit using cluster sequences of human pri-miRNA (miR-17-20), in which the mature miRNA sequences were replaced by four siRNA sequences to knockdown the endogenous TCRα and β,[23] was inserted into the retroviral vectors encoding codon-optimized TCRs (). Retroviral vector production and retroviral transduction. The ecotropic and vesicular stomatitis virus G-pseudotyped retroviruses were transiently obtained by conventional methods using HEK293T cells. The PG13 cells were transduced with transiently produced ecotropic retroviruses to produce GaLV-pseudotyped retroviruses. The cells were transduced using the RetroNectin-bound virus infection method, in which retroviral solutions were preloaded onto RetroNectin- (Takara Bio) coated plates, centrifuged at 2,000g for 2 hours at 32 °C, and then rinsed with phosphate-buffered saline. The cells were applied to the virus-preloaded plate. The PBMCs were stimulated with 30 ng/ml OKT-3 (Janssen pharmaceuticals, Titusville, NJ) and 600 IU/ml of interleukin-2 on day 0, and the gene transfer was performed twice on days 3 and 4. Flow cytometry analysis. We double-stained the transduced PBMCs with FITC-conjugated anti-CD8 Ab (Becton Dickinson, San Jose, CA) and PE-conjugated MAGE-A4143-151/HLA-A*2402 tetramers (Ludwig Institute for Cancer Research, New York, NY), WT1235-243/HLA-A*2402 tetramers (MBL, Aichi, Japan), and hTERT461-469/HLA-A*2402 tetramers (provided by Mie University, Mie, Japan). The hTERT-specific TCR-transduced PBMCs were double-or triple-stained with PE-conjugated hTERT461-469/HLA-A*2402 tetramers, FITC-conjugated anti-human TCR Vβ2 Ab (Beckman Coulter, Brea, CA), and PerCP-conjugated anti-CD8 Ab (Becton Dickinson). The stained cells were analyzed using a FACSCant II Flow Cytometer (Becton Dickinson). The WT1 tetramer-positive cells were sorted using FACSAria III (Becton Dickinson), and the MAGE-A4 tetramer-positive cells were collected using MACS Anti-PE Multisort Kit (Miltenyi Biotec, Auburn, CA). Measurement of the proviral copy number of retrovirus-transduced PBMCs. The genomic DNA from the transduced PBMCs was purified, and the average proviral copy number per cell was quantified using the Cycleave PCR Core Kit (Takara Bio) and the Proviral Copy Number Detection Primer Set (Takara Bio). TCR RNA quantification. The quantification of TCR RNAs was performed as described previously.[23] Briefly, the total RNA was extracted, and quantitative reverse transcription-PCR was performed using the SYBR PrimeScript RT-PCR Kit (Takara Bio) with the primer sets specific to the TCR C regions. Glyceraldehyde-3-phosphate dehydrogenase was used for normalization. Intracellular cytokine staining. In 96-well plate, 1 × 105 cells of PBMCs transduced with retroviral vectors expressing MAGE-A4– or WT1-specific TCRs were mixed with 1 × 105 cells of T2A24 cells pulsed with 20 ng/ml of MAGE-A4143-151 or WT1235-243 peptides for 1 hour. After 6 hours of incubation, cells were stained with FITC-conjugated anti-CD8 Ab, then permeabilized in the cytoplasmic membrane using IntraPrep reagents (Beckman Coulter) and stained with PE-conjugated IFNγ Ab (Beckman Coulter) and APC-conjugated TNFα Ab (eBioscience, San Diego, CA), according to the manufacturer's protocol. The stained cells were analyzed using a FACSCant II Flow Cytometer. Genomic PCR of proviral vector in PG13 producer cell lines. The genomic DNA from the PG13 producer cell lines was purified, and PCR was performed to amplify proviral DNA using F primer (5′-TCTGTGTCTGTCCGATTG-3′) and R primer (5′-CTACAGGTGGGGTCTTTCA-3′). Figure S1. The influence of vector backbones on transgene expression.
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2.  Mixed T cell receptor dimers harbor potentially harmful neoreactivity.

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4.  T-cell receptor gene therapy targeting melanoma-associated antigen-A4 inhibits human tumor growth in non-obese diabetic/SCID/γcnull mice.

Authors:  Yoshitaka Shirakura; Yukari Mizuno; Linan Wang; Naoko Imai; Chisaki Amaike; Eiichi Sato; Mamoru Ito; Ikuei Nukaya; Junichi Mineno; Kazutoh Takesako; Hiroaki Ikeda; Hiroshi Shiku
Journal:  Cancer Sci       Date:  2011-11-08       Impact factor: 6.716

5.  Factors affecting the performance of different long terminal repeats in the retroviral vector.

Authors:  Sujeong Kim; Karim Lee; Mi-Dong Kim; Seock Kang; Chang Wan Joo; Jong-Mook Kim; Seon Hee Kim; Seung Shin Yu; Sunyoung Kim
Journal:  Biochem Biophys Res Commun       Date:  2006-03-20       Impact factor: 3.575

6.  Tumor regression in patients with metastatic synovial cell sarcoma and melanoma using genetically engineered lymphocytes reactive with NY-ESO-1.

Authors:  Paul F Robbins; Richard A Morgan; Steven A Feldman; James C Yang; Richard M Sherry; Mark E Dudley; John R Wunderlich; Azam V Nahvi; Lee J Helman; Crystal L Mackall; Udai S Kammula; Marybeth S Hughes; Nicholas P Restifo; Mark Raffeld; Chyi-Chia Richard Lee; Catherine L Levy; Yong F Li; Mona El-Gamil; Susan L Schwarz; Carolyn Laurencot; Steven A Rosenberg
Journal:  J Clin Oncol       Date:  2011-01-31       Impact factor: 44.544

7.  A TCR targeting the HLA-A*0201-restricted epitope of MAGE-A3 recognizes multiple epitopes of the MAGE-A antigen superfamily in several types of cancer.

Authors:  Nachimuthu Chinnasamy; Jennifer A Wargo; Zhiya Yu; Mahadev Rao; Timothy L Frankel; John P Riley; Jenny J Hong; Maria R Parkhurst; Steven A Feldman; David S Schrump; Nicholas P Restifo; Paul F Robbins; Steven A Rosenberg; Richard A Morgan
Journal:  J Immunol       Date:  2010-12-13       Impact factor: 5.422

8.  Interferon-gamma differentially regulates susceptibility of lung cancer cells to telomerase-specific cytotoxic T lymphocytes.

Authors:  Kouhei Tajima; Yoshinori Ito; Ayako Demachi; Keiko Nishida; Yoshiki Akatsuka; Kunio Tsujimura; Toyoaki Hida; Yasuo Morishima; Hiroyuki Kuwano; Tetsuya Mitsudomi; Toshitada Takahashi; Kiyotaka Kuzushima
Journal:  Int J Cancer       Date:  2004-06-20       Impact factor: 7.396

9.  Correction of multi-gene deficiency in vivo using a single 'self-cleaving' 2A peptide-based retroviral vector.

Authors:  Andrea L Szymczak; Creg J Workman; Yao Wang; Kate M Vignali; Smaroula Dilioglou; Elio F Vanin; Dario A A Vignali
Journal:  Nat Biotechnol       Date:  2004-04-04       Impact factor: 54.908

10.  Enhanced antitumor activity of T cells engineered to express T-cell receptors with a second disulfide bond.

Authors:  Cyrille J Cohen; Yong F Li; Mona El-Gamil; Paul F Robbins; Steven A Rosenberg; Richard A Morgan
Journal:  Cancer Res       Date:  2007-04-15       Impact factor: 12.701

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  13 in total

Review 1.  Adoptive T-cell therapy for hematological malignancies using T cells gene-modified to express tumor antigen-specific receptors.

Authors:  Hiroshi Fujiwara
Journal:  Int J Hematol       Date:  2013-12-19       Impact factor: 2.490

2.  RNAi-mediated TCR knockdown prevents autoimmunity in mice caused by mixed TCR dimers following TCR gene transfer.

Authors:  Mario Bunse; Gavin M Bendle; Carsten Linnemann; Laura Bies; Stephan Schulz; Ton N Schumacher; Wolfgang Uckert
Journal:  Mol Ther       Date:  2014-07-22       Impact factor: 11.454

3.  NY-ESO-1-specific redirected T cells with endogenous TCR knockdown mediate tumor response and cytokine release syndrome.

Authors:  Mikiya Ishihara; Shigehisa Kitano; Shinichi Kageyama; Yoshihiro Miyahara; Noboru Yamamoto; Hidefumi Kato; Hideyuki Mishima; Hiroyoshi Hattori; Takeru Funakoshi; Takashi Kojima; Tetsuro Sasada; Eiichi Sato; Sachiko Okamoto; Daisuke Tomura; Ikuei Nukaya; Hideto Chono; Junichi Mineno; Muhammad Faris Kairi; Phuong Diem Hoang Nguyen; Yannick Simoni; Alessandra Nardin; Evan Newell; Michael Fehlings; Hiroaki Ikeda; Takashi Watanabe; Hiroshi Shiku
Journal:  J Immunother Cancer       Date:  2022-06       Impact factor: 12.469

4.  Multigenic lentiviral vectors for combined and tissue-specific expression of miRNA- and protein-based antiangiogenic factors.

Authors:  Anne Louise Askou; Lars Aagaard; Corinne Kostic; Yvan Arsenijevic; Anne Kruse Hollensen; Toke Bek; Thomas Gryesten Jensen; Jacob Giehm Mikkelsen; Thomas Juhl Corydon
Journal:  Mol Ther Methods Clin Dev       Date:  2015-01-28       Impact factor: 6.698

Review 5.  Adoptive immunotherapy for hematological malignancies using T cells gene-modified to express tumor antigen-specific receptors.

Authors:  Hiroshi Fujiwara
Journal:  Pharmaceuticals (Basel)       Date:  2014-12-15

6.  A Functionally Superior Second-Generation Vector Expressing an Aurora Kinase-A-Specific T-Cell Receptor for Anti-Leukaemia Adoptive Immunotherapy.

Authors:  Nicholas Paul Casey; Hiroshi Fujiwara; Kazushi Tanimoto; Sachiko Okamoto; Junichi Mineno; Kiyotaka Kuzushima; Hiroshi Shiku; Masaki Yasukawa
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

7.  Novel and shared neoantigen derived from histone 3 variant H3.3K27M mutation for glioma T cell therapy.

Authors:  Zinal S Chheda; Gary Kohanbash; Kaori Okada; Naznin Jahan; John Sidney; Matteo Pecoraro; Xinbo Yang; Diego A Carrera; Kira M Downey; Shruti Shrivastav; Shuming Liu; Yi Lin; Chetana Lagisetti; Pavlina Chuntova; Payal B Watchmaker; Sabine Mueller; Ian F Pollack; Raja Rajalingam; Angel M Carcaboso; Matthias Mann; Alessandro Sette; K Christopher Garcia; Yafei Hou; Hideho Okada
Journal:  J Exp Med       Date:  2017-12-04       Impact factor: 14.307

Review 8.  The Quest for the Best: How TCR Affinity, Avidity, and Functional Avidity Affect TCR-Engineered T-Cell Antitumor Responses.

Authors:  Diana Campillo-Davo; Donovan Flumens; Eva Lion
Journal:  Cells       Date:  2020-07-18       Impact factor: 6.600

9.  Direct tumor recognition by a human CD4(+) T-cell subset potently mediates tumor growth inhibition and orchestrates anti-tumor immune responses.

Authors:  Junko Matsuzaki; Takemasa Tsuji; Immanuel F Luescher; Hiroshi Shiku; Junichi Mineno; Sachiko Okamoto; Lloyd J Old; Protul Shrikant; Sacha Gnjatic; Kunle Odunsi
Journal:  Sci Rep       Date:  2015-10-08       Impact factor: 4.379

10.  Efficient tumor regression by adoptively transferred CEA-specific CAR-T cells associated with symptoms of mild cytokine release syndrome.

Authors:  Linan Wang; Ning Ma; Sachiko Okamoto; Yasunori Amaishi; Eiichi Sato; Naohiro Seo; Junichi Mineno; Kazutoh Takesako; Takuma Kato; Hiroshi Shiku
Journal:  Oncoimmunology       Date:  2016-07-25       Impact factor: 8.110

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